2024
Zhang, Y., Wittrup, E., Najarian, K. and Mathis, M., 2024. EvolveFNN: An interpretable framework for early detection using longitudinal electronic health record data.
Gao Z, Wittrup E, Najarian K, 2024. Leveraging Multi-Annotator Label Uncertainties as Privileged Information for Acute Respiratory Distress Syndrome Detection in Chest X-ray Images. Bioengineering, 11(2), 133.
Alge, O.P., Gryak, J., VanEpps, J.S. and Najarian, K., 2024. Sepsis Trajectory Prediction Using Privileged Information and Continuous Physiological Signals. Diagnostics, 14(3), p.234.
Zhang, Y., Golbus, J.R., Wittrup, E., Aaronson, K.D., Najarian, K., 2024 Enhancing heart failure treatment decisions: interpretable machine learning models for advanced therapy eligibility prediction using EHR data. BMC Medical Informatics and Decision Making, 24(53)
Zare, A., Wittrup, E. Najarian, K. 2024. Mechanistic Assessment of Cardiovascular State Informed by Vibroacoustic Sensors. Sensors, 24(7)
Gryak, J., Georgievska, A., Zhang, J., Najarian, K., Ravikumar, R., Sanders, G. and Schuler IV, C.F., 2024. Prediction of pediatric peanut oral food challenge outcomes using machine learning. Journal of Allergy and Clinical Immunology: Global, 3(3), p.100252.
Schuler, C., Zhang, J., Najarian, K., Ravikumar, R., Sanders, G. and Gryak, J., 2024. Prediction of peanut oral food challenge outcomes using machine learning. Journal of Allergy and Clinical Immunology, 153(2), p.AB260.
Zhang, Y., Kohne, J., Wittrup, E., Najarian, K., 2024. Three-Stage Framework for Accurate Pediatric Chest X-ray Diagnosis Using Self-Supervision and Transfer Learning on Small Datasets. Diagnostics, 14(15), 1634
Alge, O.P., Pickard, J., Zhang, W., Cheng, S., Derksen, H., Omenn, G.S., Gryak, J., VanEpps, J.S. and Najarian, K., 2024. Continuous sepsis trajectory prediction using tensor-reduced physiological signals. Scientific Reports, 14(1), p.18155.
Hodgman, M., Minoccheri, C., Mathis, M., Wittrup, E. and Najarian, K., 2024. A Comparison of Interpretable Machine Learning Approaches to Identify Outpatient Clinical Phenotypes Predictive of First Acute Myocardial Infarction. Diagnostics, 14(16), p.1741.
Gao, Z., Cheng, S., Wittrup, E., Gryak, J. and Najarian, K., 2024. Learning using privileged information with logistic regression on acute respiratory distress syndrome detection. Artificial Intelligence in Medicine, p.102947.
Rajaei, F., Minoccheri, C., Wittrup, E., Wilson, R.C., Athey, B.D., Omenn, G.S. and Najarian, K., 2024. AI-based Computational Methods in Early Drug Discovery and Post Market Drug Assessment: A Survey. IEEE/ACM Transactions on Computational Biology and Bioinformatics.
2023
Zhang, J., Lee, D., Jungles, K., Shaltis, D., Najarian, K., Ravikumar, R., Sanders, G. and Gryak, J., 2023. Prediction of oral food challenge outcomes via ensemble learning. Informatics in Medicine Unlocked, 36, p.101142.
Gryak, J., Najarian, K. and Derksen, H., 2023. Tensor Denoising via Amplification and Stable Rank Methods. arXiv preprint arXiv:2301.03761.
Derksen, H., Tokcan, N., Gryak, J. and Najarian, K., 2023, January. Algebraic Methods for Tensor Data. In 2023 Joint Mathematics Meetings (JMM 2023). AMS.
Minoccheri, C., Alge, O., Gryak, J., Najarian, K. and Derksen, H., 2023. Quadratic Multilinear Discriminant Analysis for Tensorial Data Classification. Algorithms, 16(2), p.104.
Cai, L., Al Turkestani, N., Cevidanes, L., Bianchi, J., Gurgel, M., Najarian, K. and Soroushmehr, R., 2023, April. Integrative risk predictors of temporomandibular joint osteoarthritis progression. In Medical Imaging 2023: Image Processing (Vol. 12464, pp. 375-380). SPIE.
Rajaei, F., Cheng, S., Williamson, C., Wittrup, E., Najarian, K., 2023, May. AI-Based Decision Support System for Traumatic Brain Injury: A Survey. Diagnostics, 13(9), p.1640
Zhang, Y., Gao, Z., Wittrup, E., Gryak, J. and Najarian, K., 2023. Increasing efficiency of SVMp+ for handling missing values in healthcare prediction. PLOS Digital Health, 2(6), p.e0000281.
Stidham, R., Cheng, S., Cai, L., Rajaei, F., Minoccheri, C., Hiatt, T., Rice, M.D., Bishu, S., Wehkamp, J., Schultz, W. and Wu, X., 2023. 353 AUTOMATED DIGITAL ULCER QUANTITATION IN COLONOSCOPY IS BETTER ASSOCIATED WITH CLINICAL REMISSION THAN CONVENTIONAL ENDOSCOPIC SCORING IN CROHN'S DISEASE. Gastroenterology, 164(6), pp.S-62.
Stidham, R., Minoccheri, C., Tesic, S., Cai, L., Cheng, S., Rajaei, F., Hiatt, T., Rice, M.D., Bishu, S., Wehkamp, J. and Khan, N., 2023. Mo1736 PREDICTING REMISSION EARLY IN ULCERATIVE COLITIS CLINICAL TRIALS USING COMPUTER VISION ANALYSIS OF ENDOSCOPIC VIDEO. Gastroenterology, 164(6), pp.S-885.
Zhang, W., Li, Z., Gryak, J., Gunaratne, P., Wittrup, E. and Najarian, K., 2023. Evaluation of Capacitive ECG for Unobtrusive Atrial Fibrillation Monitoring. IEEE Sensors Letters.
Stidham, R.W., Cai, L., Cheng, S., Rajaei, F., Hiatt, T., Wittrup, E., Rice, M.D., Bishu, S., Wehkamp, J., Schultz, W. and Khan, N., 2023. Using Computer Vision to Improve Endoscopic Disease Quantification in Therapeutic Clinical Trials of Ulcerative Colitis. Gastroenterology.
Rajajee, V., Soroushmehr, R., Williamson, C.A., Najarian, K., Ward, K. and Tiba, H., 2023. Transcranial Color-Coded Sonography With Angle Correction As a Screening Tool for Raised Intracranial Pressure. Critical Care Explorations, 5(9), p.e0953.
Zhang, Y., Aaronson, K.D., Gryak, J., Wittrup, E., Minoccheri, C., Golbus, J.R., Najarian, K., 2023. Predicting need for heart failure advanced therapies using an interpretable tropical geometry-based fuzzy neural network, 18(11), e0295016.
2022
Yao, H., Golbus, J.R., Gryak, J., Pagani, F.D., Aaronson, K.D. and Najarian, K., 2022. Identifying Potential Candidates for Advanced Heart Failure Therapies Using an Interpretable Machine Learning Algorithm. The Journal of Heart and Lung Transplantation.
Mathis, M.R., Engoren, M.C., Williams, A.M., Biesterveld, B.E., Croteau, A.J., Cai, L., Kim, R.B., Liu, G., Ward, K.R., Najarian, K. and Gryak, J., 2022. Prediction of Postoperative Deterioration in Cardiac Surgery Patients using Electronic Health Record and Physiologic Waveform Data. Anesthesiology.
Gillot, M., Baquero, B., Le, C., Deleat-Besson, R., Bianchi, J., Ruellas, A., Gurgel, M., Yatabe, M., Al Turkestani, N., Najarian, K. and Soroushmehr, R., 2022. Automatic multi-anatomical skull structure segmentation of cone-beam computed tomography scans using 3D UNETR. Plos one, 17(10), p.e0275033.
Yao, H., Derksen, H., Golbus, J.R., Zhang, J., Aaronson, K.D., Gryak, J. and Najarian, K., 2022. A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies. IEEE Journal of Biomedical and Health Informatics, 27(1), pp.239-250.
Schmidt, B.M., Holmes, C.M., Najarian, K., Gallagher, K., Haus, J.M., Shadiow, J., Ye, W., Ang, L., Burant, A., Baker, N. and Katona, A., 2022. On diabetic foot ulcer knowledge gaps, innovation, evaluation, prediction markers, and clinical needs. Journal of Diabetes and its Complications, p.108317.
Bagherian, M., Kim, R.B., Jiang, C., Sartor, M.A., Derksen, H. and Najarian, K., 2021. Coupled matrix–matrix and coupled tensor–matrix completion methods for predicting drug–target interactions. Briefings in bioinformatics, 22(2), pp.2161-2171.
Minoccheri, C., Williamson, C.A., Hemmila, M., Ward, K., Stein, E.B., Gryak, J. and Najarian, K., 2022. An interpretable neural network for outcome prediction in traumatic brain injury. BMC Medical Informatics and Decision Making, 22(1), pp.1-9.
Carlozzi, N.E., Troost, J.P., Molton, I.R., Ehde, D.M., Freedman, J., Cao, J., Miner, J.A., Najarian, K. and Kratz, A.L., 2022. The association between sleep and cognitive function in people with spinal cord injury (SCI). Rehabilitation Psychology, 67(3).
Wang, L., Ansari, S., Cai, Y., McCracken, B., Hakam Tiba, M., Ward, K.R., Najarian, K. and Oldham, K.R., 2022. Tracking Peripheral Artery Motion and Vascular Resistance With a Multimodal Wearable Sensor Under Pressure Perturbations. Journal of Biomechanical Engineering, 144(8), p.081003.
Al Turkestani, N., Cai, L., Cevidanes, L., Bianchi, J., Zhang, W., Gurgel, M., Gillot, M., Baquero, B., Najarian, K. and Soroushmehr, R., 2022. Osteoarthritis Diagnosis Integrating Whole Joint Radiomics and Clinical Features for Robust Learning Models using Biological Privileged Information.
Kim, R.B., Alge, O.P., Liu, G., Biesterveld, B.E., Wakam, G., Williams, A.M., Mathis, M.R., Najarian, K. and Gryak, J., 2022. Prediction of postoperative cardiac events in multiple surgical cohorts using a multimodal and integrative decision support system. Scientific reports, 12(1), pp.1-11.
Stidham, R., Yao, H., Soroushmehr, R., Gryak, J., Hiatt, T., Rice, M.D., Bishu, S., Ghanem, L.R., Stojmirovic, A., Wehkamp, J. and Wu, X., 2022. 796: COMPUTER VISION MEASUREMENT OF DISEASE SEVERITY DISTRIBUTION OUTPERFORMS TRADITIONAL ENDOSCOPIC SCORING FOR DETECTING THERAPEUTIC RESPONSE IN A CLINICAL TRIAL OF USTEKINUMAB FOR ULCERATIVE COLITIS. Gastroenterology, 162(7), pp.S-193.
Najarian, K., Kahrobaei, D., Domínguez, E. and Soroushmehr, R. eds., 2022. Artificial intelligence in healthcare and medicine. CRC Press.
Soroushmehr, R., Zhang, W., Gryak, J., Najarian, K., Al Turkestani, N., Cevidanes, L., Deleat-Besson, R., Le, C. and Bianchi, J., 2022. 9 Artificial Intelligence Methodologies in Dentistry. Artificial Intelligence in Healthcare and Medicine, p.223.
Minoccheri, C., Soroushmehr, R., Gryak, J. and Najarian, K., 2022. 11 Tensor Methods for Clinical Informatics. Artificial Intelligence in Healthcare and Medicine, p.261.
Yao, H., Gryak, J. and Najarian, K., 2022. 4 A Combination of Dilated Adversarial Convolutional Neural Network and Guided Active Controu Model for Left Ventricle Segmentation. Artificial Intelligence in Healthcare and Medicine, p.103.
Soroushmehr, S.R. and Najarian, K., 2022. Transforming big data into computational models for personalized medicine and health care. Dialogues in clinical neuroscience, 18(3), pp.339-343.
Farzaneh, N., Stein, E.B., Soroushmehr, R., Gryak, J. and Najarian, K., 2022. A deep learning framework for automated detection and quantitative assessment of liver trauma. BMC Medical Imaging, 22(1), pp.1-13.
Carlozzi, N.E., Freedman, J., Troost, J.P., Carson, T., Molton, I.R., Ehde, D.M., Najarian, K., Miner, J.A., Boileau, N.R. and Kratz, A.L., 2022. Daily variation in sleep quality is associated with health-related quality of life in people with spinal cord injury. Archives of physical medicine and rehabilitation, 103(2), pp.263-273.
Gao, Z., Wang, L., Soroushmehr, R., Wood, A., Gryak, J., Nallamothu, B. and Najarian, K., 2022. Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features. BMC Medical Imaging, 22(1), pp.1-17.
2021
Li, Z., Wheelock, K.M., Lathkar-Pradhan, S., Oral, H., Clauw, D.J., Gunaratne, P., Gryak, J., Najarian, K., Nallamothu, B.K., Ghanbari, H., 2021b. Predicting atrial fibrillation episodes with rapid ventricular rates associated with low levels of activity. BMC medical informatics and decision making 21, 1–12.
Al Turkestani, N., Bianchi, J., Deleat-Besson, R., Le, C., Tengfei, L., Prieto, J.C., Gurgel, M., Ruellas, A.C., Massaro, C., Aliaga Del Castillo, A., 2021. Clinical decision support systems in orthodontics: a narrative review of data science approaches. Orthodontics & Craniofacial Research 24, 26–36.
Deleat-Besson, R., Le, C., Al Turkestani, N., Zhang, W., Dumont, M., Brosset, S., Prieto, J.C., Cevidanes, L., Bianchi, J., Ruellas, A., 2021a. Automatic Segmentation of Dental Root Canal and Merging with Crown Shape, in: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, pp. 2948–2951.
Zhang, W., Bianchi, J., Al Turkestani, N., Le, C., Deleat-Besson, R., Ruellas, A., Cevidanes, L., Yatabe, M., Gonçalves, J., Benavides, E., 2021a. Temporomandibular Joint Osteoarthritis Diagnosis Using Privileged Learning of Protein Markers, in: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, pp. 1810–1813.
Le, C., Deleat-Besson, R., Prieto, J., Brosset, S., Dumont, M., Zhang, W., Cevidanes, L., Bianchi, J., Ruellas, A., Gomes, L., 2021. Automatic Segmentation of Mandibular Ramus and Condyles, in: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, pp. 2952–2955.
Wheelock, K.M., Kratz, A., Lathkar-Pradhan, S., Najarian, K., Gryak, J., Li, Z., Oral, H., Clauw, D.J., Nallamothu, B.K., Ghanbari, H., 2021. Association between symptoms, affect and heart rhythm in patients with persistent or paroxysmal atrial fibrillation: an ambulatory pilot study. American Heart Journal 241, 1–5.
Deleat-Besson, R., Le, C., Zhang, W., Turkestani, N.A., Cevidanes, L., Bianchi, J., Ruellas, A., Gurgel, M., Massaro, C., Castillo, A.A.D., 2021b. Merging and Annotating Teeth and Roots from Automated Segmentation of Multimodal Images, in: International Workshop on Multimodal Learning for Clinical Decision Support. Springer, pp. 81–92.
Yao, H., Stidham, R.W., Gao, Z., Gryak, J., Najarian, K., 2021c. Motion-based camera localization system in colonoscopy videos. Medical image analysis 73, 102180.
Cai, L., Al Turkestani, N., Cevidanes, L., Bianchi, J., Gurgel, M., Najarian, K. and Soroushmehr, R., 2023, April. Integrative risk predictors of temporomandibular joint osteoarthritis progression. In Medical Imaging 2023: Image Processing (Vol. 12464, pp. 375-380). SPIE.
Reamaroon, N., Sjoding, M.W., Gryak, J., Athey, B.D., Najarian, K., Derksen, H., 2021. Automated detection of acute respiratory distress syndrome from chest X-Rays using Directionality Measure and deep learning features. Computers in Biology and Medicine 134, 104463.
Bianchi, J., Ruellas, A., Prieto, J.C., Li, T., Soroushmehr, R., Najarian, K., Gryak, J., Deleat-Besson, R., Le, C., Yatabe, M., 2021. Decision Support Systems in Temporomandibular Joint Osteoarthritis: A review of Data Science and Artificial Intelligence Applications, in: Seminars in Orthodontics. Elsevier, pp. 78–86.
Farzaneh, N., Williamson, C.A., Gryak, J., Najarian, K., 2021. A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication. NPJ digital medicine 4, 1–9.
Mathis, M.R., Engoren, M., Kheterpal, S., Gunnerson, K., Williams, A., Biesterveld, B., Croteau, A., Ward, K., Alam, H., Derksen, H. and Liu, G., 2021, May. Early detection of postoperative deterioration in cardiac surgery patients using electronic health record and waveform data: A machine learning approach. In ANESTHESIA AND ANALGESIA (Vol. 132, No. 5 S_ SUPPL, pp. 999-1003). TWO COMMERCE SQ, 2001 MARKET ST, PHILADELPHIA, PA 19103 USA: LIPPINCOTT WILLIAMS & WILKINS.
Wang, J., Wood, A., Gao, C., Najarian, K., Gryak, J., 2021. Automated Spleen Injury Detection Using 3D Active Contours and Machine Learning. Entropy 23, 382.
Hernandez, L., Kim, R., Tokcan, N., Derksen, H., Biesterveld, B.E., Croteau, A., Williams, A.M., Mathis, M., Najarian, K., Gryak, J., 2021. Multimodal tensor-based method for integrative and continuous patient monitoring during postoperative cardiac care. Artificial Intelligence in Medicine 113, 102032.
Yao, H., Najarian, K., Gryak, J., Bishu, S., Rice, M.D., Waljee, A.K., Wilkins, H.J., Stidham, R.W., 2021b. Fully automated endoscopic disease activity assessment in ulcerative colitis. Gastrointestinal Endoscopy 93, 728–736.
Brosset, S., Dumont, M., Cevidanes, L., Soroushmehr, R., Bianchi, J., Gurgel, M.L., Deleat-Besson, R., Le, C., Ruellas, A., Yatabe, M., 2021. Web infrastructure for data management, storage and computation, in: Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging. International Society for Optics and Photonics, p. 116001N.
Deleat-Besson, R., Le, C., Zhang, W., Turkestani, N.A., Cevidanes, L., Bianchi, J., Ruellas, A., Gurgel, M., Massaro, C., Del Castillo, A.A. and Ioshida, M., 2021. Merging and Annotating Teeth and Roots from Automated Segmentation of Multimodal Images. In Multimodal Learning for Clinical Decision Support: 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings 11 (pp. 81-92). Springer International Publishing.
Zhang, W., Turkestani, N.A., Bianchi, J., Le, C., Deleat-Besson, R., Ruellas, A., Cevidanes, L., Yatabe, M., Gonçalves, J., Benavides, E., 2021b. Feature Selection for Privileged Modalities in Disease Classification, in: International Workshop on Multimodal Learning for Clinical Decision Support. Springer, pp. 69–80.
Li, Z., Derksen, H., Gryak, J., Jiang, C., Gao, Z., Zhang, W., Ghanbari, H., Gunaratne, P., Najarian, K., 2021a. Prediction of cardiac arrhythmia using deterministic probabilistic finite-state automata. Biomedical Signal Processing and Control 63, 102200.
Rajajee, V., Soroushmehr, R., Williamson, C.A., Najarian, K., Gryak, J., Awad, A., Ward, K.R., Tiba, M.H., 2021. Novel algorithm for automated optic nerve sheath diameter measurement using a clustering approach. Military Medicine 186, 496–501.
Tokcan, N., Gryak, J., Najarian, K., Derksen, H., 2021. Algebraic Methods for Tensor Data. SIAM Journal on Applied Algebra and Geometry 5, 1–27.
Bagherian, M., Sabeti, E., Wang, K., Sartor, M.A., Nikolovska-Coleska, Z., Najarian, K., 2021b. Machine learning approaches and databases for prediction of drug–target interaction: a survey paper. Briefings in bioinformatics 22, 247–269.
Tsukamoto, M., Zappala, E., Caputo, G.A., Kikuchi, J.I., Najarian, K., Kuroda, K. and Yasuhara, K., 2021. Mechanistic study of membrane disruption by antimicrobial methacrylate random copolymers by the single giant vesicle method. Langmuir, 37(33), pp.9982-9995.
2020
Reamaroon N, Sjoding M, Derksen H, Sabeti E, Gryak J, Barbaro R, Athey B, Najarian K. 2020. Robust Segmentation of Lung in Chest X-Ray: Applications in Analysis of Acute Respiratory Distress Syndrome. BMC Medical Imaging.
Ansari, S., Golbus, J.R., Tiba, M.H., Mccracken, B., Wang, L., Aaronson, K.D., Ward, K.R., Najarian, K. and Oldham, K.R., 2020. Detection of Low Cardiac Index Using a Polyvinylidene Fluoride-Based Wearable Ring and Convolutional Neural Networks. IEEE sensors journal, 21(13), pp.14281-14289.
Kim RB, Gryak J, Mishra A, Cui C, Soroushmehr SMReza, Najarian K, Wrobel JS. 2020. Utilization of smartphone and tablet camera photographs to predict healing of diabetes-related foot ulcers. Computers in Biology and Medicine. 126:104042.
Farzaneh N, Williamson CA, Jiang C, Srinivasan A, Bapuraj JR, Gryak J, Najarian K, Soroushmehr SM. 2020. Automated Segmentation and Severity Analysis of Subdural Hematoma for Patients with Traumatic Brain Injuries. Diagnostics. 10:773.
Wood, A., Najarian, K. and Kahrobaei, D., 2020. Homomorphic encryption for machine learning in medicine and bioinformatics. ACM Computing Surveys (CSUR), 53(4), pp.1-35.
Alge O, Lu L, Li Z, Hua Y, Gryak J, Najarian K. 2020. Automated Classification of Osteosarcoma and Benign Tumors Using RNA-Seq and Plain X-Ray. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
Alge O, Soroushmehr S.M.R, Gryak J, Kratz A, Najarian K. 2020. Predicting Poor Sleep Quality in Fibromyalgia with Wrist Sensors. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
Brosset S, Dumont M, Bianchi J, Ruellas A, Cevidanes L, Yatabe M, Gonçalves J, Benavides E, Soki F, Prieto BPaniag Jua et al. 2020. 3D Auto-Segmentation of Mandibular Condyles. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
Thurnhofer-Hemsi, K., López-Rubio, E., Molina-Cabello, M.A. and Najarian, K., 2020. Radial basis function kernel optimization for Support Vector Machine classifiers. arXiv preprint arXiv:2007.08233.
Sabeti E, Drews J, Reamaroon N, Warner E, Sjoding MW, Gryak J, Najarian K. 2020. Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome. IEEE Journal of Biomedical and Health Informatics.
Yao H, Williamson C, Gryak J, Najarian K. 2020. Automated Hematoma Segmentation and Outcome Prediction for Patients with Traumatic Brain Injury. Artificial Intelligence in Medicine. :101910.
Bianchi, J., de Oliveira Ruellas, A.C., Gonçalves, J.R., Paniagua, B., Prieto, J.C., Styner, M., Li, T., Zhu, H., Sugai, J., Giannobile, W. and Benavides, E., 2020. Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning. Scientific reports, 10(1), p.8012.
Ahmadi, M., Norouzi, A., Karimi, N., Samavi, S. and Emami, A., 2020. ReDMark: Framework for residual diffusion watermarking based on deep networks. Expert Systems with Applications, 146, p.113157.
Mathis, M.R., Engoren, M.C., Joo, H., Maile, M.D., Aaronson, K., Burns, M., Sjoding, M., Douville, N.J., Janda, A.M., Hu, Y. and Najarian, K., 2020. Early Detection of Heart Failure with Reduced Ejection Fraction using Perioperative Data among Non-Cardiac Surgical Patients: A Machine Learning Approach. Anesthesia and analgesia, 130(5), p.1188.
Hajabdollahi, M., Esfandiarpoor, R., Sabeti, E., Karimi, N., Soroushmehr, S.R. and Samavi, S., 2020. Multiple abnormality detection for automatic medical image diagnosis using bifurcated convolutional neural network. Biomedical Signal Processing and Control, 57, p.101792.
Stidham, R., Yao, H., Bishu, S., Rice, M., Gryak, J., Wilkins, H.J. and Najarian, K., 2020. P595 Feasibility and performance of a fully automated endoscopic disease severity grading tool for ulcerative colitis using unaltered multisite videos. Journal of Crohn's and Colitis, 14(Supplement_1), pp.S495-S496.
Dumont, M., Prieto, J.C., Brosset, S., Cevidanes, L., Bianchi, J., Ruellas, A., Gurgel, M., Massaro, C., Del Castillo, A.A., Ioshida, M. and Yatabe, M., 2020. Patient specific classification of dental root canal and crown shape. In Shape in Medical Imaging: International Workshop, ShapeMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings (pp. 145-153). Springer International Publishing.
2019
Yao H, Stidham RW, Soroushmehr R, Gryak J, Najarian K. 2019. Automated Detection of Non-Informative Frames for Colonoscopy Through a Combination of Deep Learning and Feature Extraction. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
Soroushmehr R, Rajajee K, Williamson C, Gryak J, Najarian K, Ward K, Tiba MH. 2019. Automated optic nerve sheath diameter measurement using super-pixel analysis. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
Heming YAO, Najarian K, Gryak J, Zhang W. 2019. Automatic Filter Pruning Technique For Convolutional Neural Networks.
Yao H, Williamson C, Gryak J, Najarian K. 2019. Brain Hematoma Segmentation Using Active Learning and an Active Contour Model. 7th International Work-Conference on Bioinformatics and Biomedical Engineering.
Sabeti E, Drews J, Reamaroon N, Gryak J, Sjoding M, Najarian K. 2019. Detection of Acute Respiratory Distress Syndrome by Incorporation of Label Uncertainty and Partially Available Privileged Information. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
Cui C, Thurnhofer-Hemsi K, Soroushmehr R, Mishra A, Gryak J, Domínguez E, Najarian K, López-Rubio E. 2019. Diabetic Wound Segmentation using Convolutional Neural Networks. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
Sabeti E, Gryak J, Derksen H, Biwer C, Ansari S, Isenstein H, Kratz A, Najarian K. 2019. Learning Using Concave and Convex Kernels: Applications in Predicting Quality of Sleep and Level of Fatigue in Fibromyalgia. Entropy. 21(5):442.
Li Z, Derksen H, Gryak J, Hooshmand M, Wood A, Ghanbari H, Gunaratne P, Najarian K. 2019. Markov Models for Detection of Ventricular Arrhythmia. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
Gribov A, Horan K, Gryak J, Najarian K, Shpilrain V, Soroushmehr R, Kahrobaei D. 2019. Medical Diagnostics Based on Encrypted Medical Data. International Conference on Bio-inspired Information and Communication.
Jiang C, Cao J, Williamson C, Farzaneh N, Rajajee V, Gryak J, Najarian K, Soroushmehr SMReza. 2019. Midline Shift vs. Mid-Surface Shift: Correlation with Outcome of Traumatic Brain Injuries. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Wood A, Shpilrain V, Najarian K, Kahrobaei D. 2019. Private naive bayes classification of personal biomedical data: Application in cancer data analysis. Computers in Biology and Medicine. 105:144–150.
Sabeti E, Reamaroon N, Mathis M, Gryak J, Sjoding M, Najarian K. 2019. Signal quality measure for pulsatile physiological signals using morphological features: Applications in reliability measure for pulse oximetry. Informatics in Medicine Unlocked. 16:100222.
Najarian K, Derksen H, Li Z, Gryak J, Gunaratne P. 2019. Systems and methods for predicting and detecting a cardiac event.
Ghazanfari B, Afghah F, Najarian K, Mousavi S, Gryak J, Todd J. 2019. An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
Yao H, Aaronson KD, Lu L, Gryak J, Najarian K, Golbus JR. 2019. Using a Fuzzy Neural Network in Clinical Decision Support for Patients with Advanced Heart Failure. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Birditt, K. S., Turkelson, A., Mones, M., Najarian, K., & Gonzalez, R. (2019, November). “Matters of the heart: Daily social interactions and cardiovascular reactivity in middle and old age”. Symposium paper presented, Presented at the annual meeting of the Gerontological Society of America. Austin, TX.
2018
Reamaroon N, Sjoding MW, Lin K, Iwashyna TJ, Najarian K. 2018. Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome. IEEE Journal of Biomedical and Health Informatics. 23(1):407-415.Google ScholarBibTeX
Ansari S, Najarian K, Ward K. 2018. Adaptive epsilon-tube filter for blunt noise removal. Google ScholarBibTeX
Mathis MR, Kheterpal S, Najarian K. 2018. Artificial Intelligence for Anesthesia: What the Practicing Clinician Needs to Know: More than Black Magic for the Art of the Dark. Anesthesiology. 129(4):619-622.PubMedGoogle ScholarBibTeX
Li Z, Derksen H, Gryak J, Ghanbari H, Gunaratne P, Najarian K. 2018. Atrial Fibrillation Prediction Using Recordings from Portable Devices. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Google ScholarBibTeX
Najarian K, Soroushmehr S, Ward KR, Nallamothu BK. 2018. Automated analysis of vasculature in coronary angiograms. Google ScholarBibTeX
Soroushmehr SMR, Curzen N, Wood A, Nallamothu B, Gryak J, Najarian K. 2018. Automated Decision Support System for Stenosis Detection in Coronary Angiograms. Google ScholarBibTeX
Farzaneh N, Soroushmehr SMR, Patel H, Wood A, Gryak J, Fessell D, Najarian K. 2018. Automated Kidney Segmentation for Traumatic Injured Patients through Ensemble Learning and Active. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Google ScholarBibTeX
Yao H, Gryak J, Attili A, Derksen H, Najarian K. 2018. Automatic Left Ventricle Segmentation Using Dilated and Adversarial Convolutional Neural Network. Google ScholarBibTeX
Hooshmand M, Soroushmehr SMR, Williamson C, Gryak J, Najarian K. 2018. Automatic Midline Shift Detection in Traumatic Brain Injury. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Google ScholarBibTeX
Alge O, Gryak J, Hua Y, Najarian K. 2018. Classifying Osteosarcoma Using Meta-Analysis of Gene Expression. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Google ScholarBibTeX
Nguyen A, Ansari S, Hooshmand M, Lin K, Ghanbari H, Gryak J, Najarian K. 2018. Comparative Study on Heart Rate Variability Analysis for Atrial Fibrillation Detection in Short Single-Lead ECG Recordings. Engineering in Medicine and Biology Society, EMBC. Google ScholarBibTeX
Hooshmand M, Soroushmehr SMR, Williamson C, Gryak J, Najarian K. 2018. Computing Amount of Midline Shift in Traumatic Brain Injury. Google ScholarBibTeX
Kalinin AA, Higgins GA, Reamaroon N, Soroushmehr SMR, Allyn-Feuer A, Dinov ID, Najarian K, Athey BD. 2018. Deep learning in pharmacogenomics: from gene regulation to patient stratification. Pharmacogenomics. 19(7):629-650.PubMedGoogle ScholarBibTeX
Najarian K, Belle A, Ward K, Derksen H. 2018. Early detection of hemodynamic decompensation using taut-string transformation. Google ScholarBibTeX
Horan K, Soroushmehr R, Gunaratne P, Ebe K, Najarian K. 2018. Feasibility Study For In-Vehicle Detection of Severe Cardiac Events. International Journal of Automotive Engineering. 9(4):316–322.Google ScholarBibTeX
Yao H, Zhang W, Malhan R, Gryak J, Najarian K. 2018. Filter-Pruned 3D Convolutional Neural Network for Drowsiness Detection. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Google ScholarBibTeX
Wood A, Soroushmehr SMR, Farzaneh N, Ward K, Fessell D, Gryak J, Najarian K. 2018. Fully Automated Spleen Localization and Segmentation Using Machine Learning and 3D Active Contours. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Google ScholarBibTeX
Yao H, Gryak J, Derksen H, Attili AK, Nallamothu BK, Najarian K. 2018. Fully-Automated Left Ventricle Segmentation Using a Dilated and Adversarial Deep Learning Architecture. 138:A16899–A16899.Google ScholarBibTeX
Yao H, Gryak J, Derksen H, Attili A, Nallamothu B, Najarian K. 2018. Fully-Automated Left Ventricle Segmentation Using a Dilated and Adversarial Deep Learning Architecture. 138Google ScholarBibTeX
Afghah F, Razi A, Soroushmehr R, Ghanbari H, Najarian K. 2018. Game theoretic approach for systematic feature selection; application in false alarm detection in intensive care units. Entropy. 20(3):190.Google ScholarBibTeX
Yao H, Williamson C, Soroushmehr SMR, Gryak J., Najarian K. 2018. Hematoma Segmentation Using Dilated Convolutional Neural Network. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Google ScholarBibTeX
Wang L, Ansari S, Ward KR, Najarian K, Oldham KR. 2018. Identification of Compensatory Arterial Dynamics in Swine Using a Non-Invasive Sensor for Local Vascular Resistance. Proceedings of the ASME Dynamic Systems and Control Conference ASME. Google ScholarBibTeX
Ansari S, Gryak J, Najarian K. 2018. Noise Detection in Electrocardiography Signal for Robust Heart Rate Variability Analysis: A Deep Learning Approach. Engineering in Medicine and Biology Society, EMBC. Google ScholarBibTeX
Li Z, Derksen H, Gryak J, Ghanbari H, Gunaratne P, Najarian K. 2018. A Novel Atrial Fibrillation Prediction Algorithm Applicable to Recordings from Portable Devices. 2018 40th Annual International Conference of the {IEEE} Engineering in Medicine and Biology Society ({EMBC}). Google ScholarBibTeX
Tokcan N, Hernandez L, Derksen H, Gryak J, Najarian K. 2018. Novel Tensor Similarity Score for Classification of Cardiac Index from ECG Signals. Google ScholarBibTeX
Shen R, Li Z, Zhang L, Hua Y, Mao M, Li Z, Cai Z, Qiu Y, Gryak J, Najarian K. 2018. Osteosarcoma Patients Classification Using Plain X-Rays and Metabolomic Data. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Google ScholarBibTeX
Zare F, Ansari S, Najarian K, Nabavi S. 2018. Preprocessing Sequence Coverage Data for Precise Detection of Copy Number Variations. IEEE/ACM Transactions on Computational Biology and Bioinformatics. Google ScholarBibTeX
Wood A, Shpilrain V, Najarian K, Kahrobaei D. 2018. Private Naïve Bayes Classification of Personal Biomedical Data: Application in Cancer Data Analysis. Google ScholarBibTeX
Wood A, Shpilrain V, Najarian K, Mostashari A, Kahrobaei D. 2018. Private-Key Fully Homomorphic Encryption for Private Classification. International Congress on Mathematical Software. Google ScholarBibTeX
Ansari S, Golbus J, Aaronson K, Nallamothu B, Oldham K, Ward K, Gryak J, Najarian K. 2018. Stratification of Cardiac Index Using a Novel Non-Invasive Ring and Deep Learning. 138Google ScholarBibTeX
Ansari S, Golbus JR, Aaronson KD, Nallamothu BK, Oldham KR, Ward KR, Gryak J, Najarian K. 2018. Stratification of Cardiac Index Using a Novel Non-Invasive Ring and Deep Learning. 138:A16415–A16415.Google ScholarBibTeX
Peyman N, Najarian K. 2018. System and method for generating heat at target area of patients body. Google ScholarBibTeX
Wood A, Najarian K, Shpilrain V, Kahrobaei D. 2018. Third Party Private Search. Google ScholarBibTeX
Fazlali HR, Karimi N, Soroushmehr SMReza, Shirani S, Nallamothu BK, Ward KR, Samavi S, Najarian K. 2018. Vessel segmentation and catheter detection in X-ray angiograms using superpixels. Medical & biological engineering & computing. 56(9):1515–1530.Google ScholarBibTeX
Birditt, K. S., Antonucci, T. C., Gonzalez, R., & Najarian, K. (2018, November). “The stress and well-being in everyday life (SWEL) study: Opportunities, challenges and preliminary findings”. Symposium paper, NIA health disparities research network: Considering the influence of stress and resilience) presented at the Gerontological Society of America conference. Boston, MA.
2017
Tavakoli N, Karimi M, Nejati M, Karimi N, Soroushmehr S.M.R, Samavi S, Najarian K. 2017. Abnormality Detection of Mammograms by Discriminative Dictionary learning on DSIFT Descriptors. IEEE Engineering in Medicine and Biology Society conference (EMBC'17). Google ScholarBibTeX
Kratz A., Ansari S., Duda M., Chen X., Murphy J., Bay E., Williams D., Clauw D., Najarian K. 2017. Ambulatory heart rate variability identifies differences in sleep between people with fibromyalgia and matched controls. The Journal of Pain. 18(4):S54.Google ScholarBibTeX
Farzaneh N, Habbo-Gavin S, Soroushmehr S.M.R, Patel H, Fessell D, Ward K, Najarian K. 2017. Atlas based 3D liver segmentation using adaptive thresholding and superpixel approaches. IEEE International Conference on Acoustics, Speech and Signal Processing. Google ScholarBibTeX
Yao H, Soroushmehr S.M.R, Williamson CA, Ward KR, Farzaneh N, Najarian K. 2017. Automated Decision Support System to Detect and Evaluate the Hematoma in Patients with Acute Traumatic Brain Injury. Google ScholarBibTeX
Farzaneh N, Soroushmehr S.M.R, Williamson CA, Jiang C, Srinivasan A, Bapuraj JR, Yao H, Ward KR, Korley F, Najarian K. 2017. Automated Decision Support System to Quantitatively Evaluate the Volume of Subdural Hematoma in Traumatic Brain Injured Patients. Google ScholarBibTeX
Farzaneh N, Soroushmehr S.M.R, Williamson C, Jiang C, Srinivasan A, Bapuraj JRajiv, Ward K, Korley FK, Najarian K. 2017. Automated Subdural Hematoma Segmentation for Traumatic Brain Injured (TBI) Patients. IEEE Engineering in Medicine and Biology Society conference (EMBC'17). Google ScholarBibTeX
Zare F., Ansari S., Najarian K., Nabavi S.. 2017. Bias and noise cancellation for robust copy number variation detection. Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. :591.Google ScholarBibTeX
Karimi M, Nejati M, Samavi S, Karimi N, Najarian K. 2017. Blind Stereo Quality Assessment Based on Learned Features from Binocular Combined Images. IEEE Transactions on Multimedia. 19(11):2475-2489.Google ScholarBibTeX
Li Z, Soroushmehr S.M.R, Hua Y, Mao M, Qiu Y, Najarian K. 2017. Classifying Osteosarcoma Patients Using Machine Learning Approaches. to be presented in IEEE Engineering in Medicine and Biology Society conference (EMBC'17). Google ScholarBibTeX
Molaei S, Horan K, Nallamothu B, Kahrobaei D, Shiri M, Najarian K. 2017. Deep Convolutional Neural Networks for Left Ventricle Segmentation. to be presented in IEEE Engineering in Medicine and Biology Society conference (EMBC'17). Google ScholarBibTeX
Farzaneh N, Soroushmehr S.M.R, Williamson CA, Srinivasan A, Bapuraj JR, Yao H, Ward KR, Najarian K. 2017. Developing an Automated System to Predict ICU Length of Stay for TBI patients with Subdural Hematoma. Google ScholarBibTeX
Wang L, Ansari S, Najarian K, Ward K, Oldham K. 2017. Estimation of Peripheral Artery Radius using Non-Invasive Sensors and Kalman Filtering of Local Dynamics. American Control Conference. Google ScholarBibTeX
Ansari S., Molaei S., Oldham K., Heung M., Ward K.R, Najarian K.. 2017. An extended Kalman filter with inequality constraints for real-time detection of intradialytic hypotension. Engineering in Medicine and Biology Society (EMBC). :227-2230.Google ScholarBibTeX
Jafari MH, Nasr-Esfahani E, Karimi N, Samavi S, Najarian K. 2017. Extraction of skin lesions from non-dermoscopic images for surgical excision of melanoma. International Journal of Computer Assisted Radiology and Surgery. 12(6):1021-1030.Google ScholarBibTeX
Nejati M, Karimi M, Soroushmehr S.M.R, Karimi N, Samavi S, Najarian K. 2017. Fast Exposure Fusion Using Exposedness Function. IEEE International Conference on Image Processing (ICIP’2017). Google ScholarBibTeX
Ghanbari H., Ansari S., Ghannam M., Lathkar-Pradhan S., Kratz A., Oral H., Najarian K., Clauw D., Nallamothu B.. 2017. Feasibility and usability of a mobile application to assess symptoms and affect in patients with atrial fibrillation: A pilot study. Hypertension. 10(2):9-12.Google ScholarBibTeX
Kratz A., Ansari S., Duda M., Chen X., Murphy J., Williams D., Najarian K., Clauw D. 2017. Feasibility of the E4 Wristband to assess sleep in adults with and without fibromyalgia. The Journal of Pain. 18(4):S54.Google ScholarBibTeX
Gunaratne P, Ebe K, Horan K, Najarian K, Soroushmehr S.M.R. 2017. Feasibility Study for In-Vehicle Detection of Severe Cardiac Events. to appear in FAST-zero symposia. Google ScholarBibTeX
Ansari S, Molaei S, Oldham K, Heung M, Ward KR, Najarian K. 2017. A Kalman Filter Approach with State Inequality Constraints for Real-time Prediction of Intradialytic Hypotension using a Polyvinylidene Fluoride Based Sensor. to be presented in IEEE Engineering in Medicine and Biology Society conference (EMBC'17). Google ScholarBibTeX
Zare F., Ansari S., Najarian K., Nabavi S.. 2017. Noise cancellation for robust copy number variation detection using next generation sequencing data. Bioinformatics and Biomedicine (BIBM). Google ScholarBibTeX
Wang L, Ansari S, Slavin D, Ward K, Najarian K, Oldham K. 2017. Non-Invasive Vascular Resistance Monitoring with a Piezoelectric Sensor and Photoplethysmogram. Sensors & Actuators A: Physical. 263:198-208.Google ScholarBibTeX
Ansari S., Farzaneh N., Duda M., Horan K., Andersson H.B, Goldberger Z.D, Nallamothu B.K, Najarian K.. 2017. A review of automated methods for detection of myocardial ischemia and infarction using electrocardiogram and electronic health records. IEEE Reviews in Biomedical Engineering. 10:264-298.Google ScholarBibTeX
Etemad E, Samavi S, Soroushmehr SMReza, Karimi N, Etemad M, Shirani S, Najarian K. 2017. Robust image watermarking scheme using bit-plane of hadamard coefficients. Multimedia Tools and Applications. 77(2):2033-2055.Google ScholarBibTeX
Nejati M, Samavi S, Karimi N, Soroushmehr S.M.R, Shirani S, Najarian K. 2017. Surface area-based focus criterion for multi-focus image fusion. Information Fusion. 36(C):284-295.Google ScholarBibTeX
Biwer C, Rothberg A, IglayReger H, Derksen H, Burant CF, Najarian K. 2017. Windowed persistent homology: A topological signal processing algorithm applied to clinical obesity data. PLOS ONE. 12(5):e0177696.Google ScholarBibTeX
2016
Jafari MH, Samavi S, Karimi N, Ward K, Najarian K. 2016. Automatic detection of melanoma using broad extraction of features from digital images. Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the. Google ScholarBibTeX
Kadkhodaei M, Samavi S, Karimi N, Mohaghegh H, Soroushmehr SMR, Ward K, All A, Najarian K. 2016. Automatic segmentation of multimodal brain tumor images based on classification of super-voxels. Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the. Google ScholarBibTeX
Nejati M, Samavi S, Karimi N, Najarian K. 2016. Boosted Dictionary Learning for Image Compression. IEEE Transactions on Image Processing. 25(10):4900-4915.Google ScholarBibTeX
Nejati M, Samavi S, Karimi N, Soroushmehr SMReza, Najar K,. 2016. Boosted multi-scale dictionaries for image compression. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Google ScholarBibTeX
Nejati M, Samavi S, Soroushmehr SMReza, Najar K,. 2016. Coherence regularized dictionary learning. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Google ScholarBibTeX
Nejati M, Samavi S, Derksen H, Najarian K. 2016. Denoising by Low-Rank and Sparse Representations. Journal of Visual Communication and Image Representation. 36:28-39.Google ScholarBibTeX
Mohaghegh H, Samavi S, Karimi N, Soroushmehr SMR, Najarian K. 2016. Depth estimation from single images using modified stacked generalization. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Google ScholarBibTeX
Heidari M, Samavi S, Soroushmehr SMR, Shirani S, Karimi N, Najarian K. 2016. Framework for robust blind image watermarking based on classification of attacks. Multimedia Tools and Applications. 76(22):23459-23479.Google ScholarBibTeX
Nasr-Esfahani E, Karimi N, Soroushmehr SM, M Jafari H, M Khorsandi A, Samavi S, Najarian K. 2016. Hand Gesture Recognition for Contactless Device Control in Operating Rooms. arXiv preprint arXiv:1611.04138. Google ScholarBibTeX
Khorsandi MA, Karimi N, Samavi S, Hajabdollahi M, Soroushmehr SMR, Ward K, Najarian K. 2016. Hardware image assessment for wireless endoscopy capsules. Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the. Google ScholarBibTeX
Shandilya S, Kurz MC, Ward KR, Najarian K. 2016. Integration of Attributes from Non-Linear Characterization of Cardiovascular Time-Series for Prediction of Defibrillation Outcomes. PloS one. 11(1):e0141313.Google ScholarBibTeX
Farzaneh N, Samavi S, Soroushmehr SMReza, Patel H, Habbo-Gavin S, Fessell DPaul, Ward KR, Najarian K. 2016. Liver segmentation using location and intensity probabilistic atlases. Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the. Google ScholarBibTeX
Soroushmehr S.M.R, Korely F, Williamson C, Ward K, Najarian K. 2016. A Machine Learning Approach to Determine the Need for Head CT among Traumatic Brain Injury Patients. Google ScholarBibTeX
Molaei S, Korley FK, Soroushmehr SMReza, Falk H, Sair H, Ward K, Najarian K. 2016. A machine learning based approach for identifying traumatic brain injury patients for whom a head CT scan can be avoided. Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the. Google ScholarBibTeX
Nasr-Esfahani E, Samavi S, Karimi N, Soroushmehr SMR, Jafari MH, Ward K, Najarian K. 2016. Melanoma detection by analysis of clinical images using convolutional neural network. Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the. Google ScholarBibTeX
Ansari S, Ward K, Najarian K. 2016. Motion Artifact Suppression in Impedance Pneumography Signal for Portable Monitoring of Respiration: an Adaptive Approach. IEEE Journal of Biomedical and Health Informatics. 21(2):387-398.Google ScholarBibTeX
Ansari S, Tiba MHakam, Oldham K, Ward KR, Najarian K. 2016. Noninvasive Peripheral Vascular Resistance Measured by a Polyvinylidene Fluoride Sensor Identifies Patterns of Oxygen Debt Repayment During Resuscitation After Hemorrhage. :A19409.Google ScholarBibTeX
Karimi M, Samavi S, Karimi N, Soroushmehr SMReza, Lin W, Najarian K. 2016. Quality Assessment of Retargeted Images by Salient Region Deformity Analysis. Journal of Visual Communication and Image Representation. 43:108-118.Google ScholarBibTeX
Soroushmehr S.M.Reza, Farzaneh N, Korely F, Williamson C, Ward K, Najarian K. 2016. Quantitative assessment of hematoma in traumatic brain injury (TBI). Google ScholarBibTeX
Soroushmehr S.M.Reza, Bafna A, Sinha S, Nallamothu B, Ward KR, Najarian K. 2016. Quantitative Measurement of Vasculature in Coronary Angiogram Videos. IEEE Biomedical Health Informatics Conference. Google ScholarBibTeX
M. Khorsandi A, Karimi N, Soroushmehr S.M.Reza, Hajabdollahi M, Samavi S, Ward K, Najarian K. 2016. Radon Transform Inspired Method for Hand Gesture Recognition. International Conference on Pattern Recognition (ICPR). Google ScholarBibTeX
Ansari S, Farzaneh N, Heung M, Oldham K, Derksen H, Najarian K. 2016. Real-time Detection of Intradialytic Hypotension using a Novel Polyvinylidene Fluoride Based Sensor. IEEE Biomedical Health Informatics Conference. Google ScholarBibTeX
HosseinKhani Z, Karimi N, Soroushmehr S.M.Reza, Hajabdollahi M, Samavi S, Ward K, Najarian K. 2016. Real-Time Removal of Random Value Impulse Noise in Medical Images. International Conference on Pattern Recognition (ICPR). Google ScholarBibTeX
Jamali M, Samavi S, Karimi N, Soroushmehr SMR, Ward K, Najarian K. 2016. Robust watermarking in non-ROI of medical images based on DCT-DWT. Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the. Google ScholarBibTeX
Wu J, Hargraves RHobson, Najarian K, Belle A, Ward KR. 2016. Segmentation and fracture detection in CT images. Google ScholarBibTeX
Jafari MH, Samavi S, Soroushmehr SMR, Mohaghegh H, Karimi N, Najarian K. 2016. Set of descriptors for skin cancer diagnosis using non-dermoscopic color images. Image Processing (ICIP), 2016 IEEE International Conference on. Google ScholarBibTeX
Belle A, Ansari S, Spadafore M, Convertino VA, Ward KR, Derksen H, Najarian K. 2016. A Signal Processing Approach for Detection of Hemodynamic Instability before Decompensation. PloS one. 11(2):e0148544.Google ScholarBibTeX
Mohaghegh H, Karimi N, Soroushmehr S.M.Reza, Samavi S, Najarian K. 2016. Single Image Depth Estimation Using Joint Local-Global Features. International Conference on Pattern Recognition (ICPR). Google ScholarBibTeX
Jafari MH, Karimi N, Nasr-Esfahani E, Samavi S, Soroushmehr SMR, Ward K, Najarian K. 2016. Skin Lesion Segmentation in Clinical Images Using Deep Learning. Pattern Recognition (ICPR), 2016 23rd International Conference on. Google ScholarBibTeX
Ansari S, Belle A, Ghanbari H, Salamango M, Najarian K. 2016. Suppression of false arrhythmia alarms in the ICU: a machine learning approach. Physiological Measurement. 37(8):1186–1203.Google ScholarBibTeX
Nejati M, Samavi S, Karimi N, Soroushmehr SMR, Shirani S, Rosta I, Najarian K. 2016. Surface Area-Based Focus Criterion for Multi-Focus Image Fusion. Information Fusion. 36:284-295.Google ScholarBibTeX
Heidt ST, Kratz A, Najarian K, Hassett AL,. 2016. Symptoms In Atrial Fibrillation: A Contemporary Review And Future Directions. Journal of Atrial Fibrillation. 9(1):1422.Google ScholarBibTeX
Ward KR, Alam H, Najarian K,, Mitchell R. 2016. System for Providing Continuous Systolic Blood Pressure Measurement to Maintain Permissive Hypotension. Google ScholarBibTeX
Karimi N, Samavi S, Soroushmehr S.MReza, Shirani S, Najarian K. 2016. Toward Practical Guideline for Design of Image Compression Algorithms for Biomedical Applications. Expert Systems and Applications. 56:360-367.Google ScholarBibTeX
Soroushmehr SMReza, Najarian K. 2016. Transforming big data into computational models for personalized medicine and health care. Dialogues in Clinical Neuroscience. 18(3):339-343.Google ScholarBibTeX
Nasr-Esfahani E, Samavi S, Karimi N, Soroushmehr SMR, Ward K, Jafari MH, Felfeliyan B, Nallamothu B, Najarian K. 2016. Vessel extraction in X-ray angiograms using deep learning. Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the. Google ScholarBibTeX
Felfelian B, Fazlali HR, Karimi N, Soroushmehr SMR, Samavi S, Nallamothu B, Najarian K. 2016. Vessel segmentation in low contrast X-ray angiogram images. Image Processing (ICIP), 2016 IEEE International Conference on. Google ScholarBibTeX
2015
Mohaghegh H, Karimi N, Soroushmehr SMR, Samavi S, Najarian K. 2015. Adaptive stereo medical image watermarking using non-corresponding blocks. Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE. Google ScholarBibTeX
Belle A, Thiagarajan R, Soroushmehr SM, Navidi F, Beard DA, Najarian K. 2015. Big Data Analytics in Healthcare. BioMed Research International. 2015:370194.Google ScholarBibTeX
Najarian K, Ward KR, Shirani S. 2015. Biomedical Signal and Image Processing for Clinical Decision Support Systems 2014. Computational and Mathematical Methods in Medicine. 2015Google ScholarBibTeX
Kazeminia S, Karimi N, Mirmahboub B, Soroushmehr SMR, Samavi S, Najarian K. 2015. Bone extraction in X-ray images by analysis of line fluctuations. Image Processing (ICIP), 2015 IEEE International Conference on. Google ScholarBibTeX
Soroushmehr SMReza, Bafna A, Shashank S, Brahmajee N, Ward K, Najarian K. 2015. Computer-assisted Diagnosis of Coronary Angiography. Circulation. 132:A15456–A15456.Google ScholarBibTeX
Soroushmehr SMR, Bafna A, Schlosser S, Ward K, Derksen H, Najarian K. 2015. CT image segmentation in traumatic brain injury. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Google ScholarBibTeX
Attin M, Wang L, Soroushmehr SMReza, Lin C-D, Lemus H, Spadafore M, Najarian K. 2015. Digitization of Electrocardiogram From Telemetry Prior to In-hospital Cardiac Arrest A Pilot Study. Biological Research for Nursing. 18(2):230-236.Google ScholarBibTeX
Najarian K, Belle A, Ward K, Derksen H. 2015. EARLY DETECTION OF HEMODYNAMIC DECOMPENSATION USING TAUT-STRING TRANSFORMATION. Google ScholarBibTeX
Attin M, Feld G, Lemus H, Najarian K, Shandilya S, Wang L, Sabouriazad P, Lin C-D. 2015. Electrocardiogram characteristics prior to in-hospital cardiac arrest. Journal of Clinical Monitoring and Computing. 29(3):385–392.Google ScholarBibTeX
Ansari S., Ward K., Najarian K.. 2015. Epsilon-tube filtering: Reduction of high-amplitude motion artifacts from impedance plethysmography signal. IEEE Journal of Biomedical and Health Informatics. 19(2):406-417.Google ScholarBibTeX
Afghah F, Razi A, Soroushmehr SMReza, Molaei S, Ghanbari H, Najarian K. 2015. A game theoretic predictive modeling approach to reduction of false alarm. Smart Health. :118–130.Google ScholarBibTeX
Nejati M, Samavi S, Soroushmehr SM, Najarian K. 2015. Low-rank regularized collaborative filtering for image denoising. Image Processing (ICIP), 2015 IEEE International Conference on. Google ScholarBibTeX
Najarian K, Oldham K, Slavin D, Belle A, Ward KR, Ansari S, Daniels RC. 2015. MINIATURE PIEZOELECTRIC CARDIOVASCULAR MONITORING SYSTEM. Google ScholarBibTeX
Ansari S, Belle A, Najarian K. 2015. Multi-modal integrated approach towards reducing false arrhythmia alarms during continuous patient monitoring: The Physionet Challenge 2015. Computing in Cardiology Conference (CinC), 2015. Google ScholarBibTeX
Ansari S, Slavin D, Tiba MH, Derksen H, Oldham K, Ward K, Najarian K. 2015. A Novel Portable Polyvinylidene Fluoride Based Sensor for Detection of Hemorrhage. Circulation. 132:A18257.Google ScholarBibTeX
Kazeminia S, Karimi N, Soroushmehr SMR, Samavi S, Derksen H, Najarian K. 2015. Region of interest extraction for lossless compression of bone X-ray images. Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE. Google ScholarBibTeX
Fazlali HR, Karimi N, Soroushmehr SMR, Samavi S, Nallamothu B, Derksen H, Najarian K. 2015. Robust catheter identification and tracking in X-ray angiographic sequences. Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE. Google ScholarBibTeX
Afghah F, Razi A, Najarian K. 2015. A Shapley Value Solution to Game Theoretic-based Feature Reduction in False Alarm Detection. arXiv preprint arXiv:1512.01680. Google ScholarBibTeX
Soroushmehr SMReza, Davuluri P, Molaei S, Hargraves RHobson, Tang Y, Cockrell CH, Ward K, Najarian K. 2015. Spleen Segmentation and Assessment in CT Images for Traumatic Abdominal Injuries. Journal of Medical Systems. 39:87.Google ScholarBibTeX
Fazlali HR, Karimi N, Soroushmehr SMR, Sinha S, Samavi S, Nallamothu B, Najarian K. 2015. Vessel region detection in coronary X-ray angiograms. Image Processing (ICIP), 2015 IEEE International Conference on. Google ScholarBibTeX
2014
Ghaedi L, Gottlieb R, Sarrett D, ismail amid, Belle A, Najarian K. 2014. An Automated Dental Caries Detection and Scoring System for Optical Images of Tooth Occlusal Surface. IEEE Engieering in Medicine and Biology Society Conference. Google ScholarBibTeX
Razi A, Afghah F, Belle A, Ward K, Najarian K. 2014. Blood Loss Severity Prediction using Game Theoretic Based Feature Selection. International Conferences on Biomedical and Health Informatics (BHI), IEEE Engineering in Medicine and Biology Society (EMBS). Google ScholarBibTeX
Wu J, Belle A, Hargraves RH, Cockrell C, Tang Y, Najarian K. 2014. Bone segmentation and 3D visualization of CT images for traumatic pelvic injuries. International Journal of Imaging Systems and Technology. 24(1):29–38.Google ScholarBibTeX
Baechle M.A., Janus C., Gottlieb1 R., Belle A, Najarian K., Dishman M., Levin J.. 2014. Computer Software versus Faculty Grading of Prepared Carious Typodont Tooth. Google ScholarBibTeX
Belle A, Spadafore M, Derksen H, Ward K, Najarian K. 2014. Computer-Assisted Monitoring of Hemodynamic Condition During a Simulated Experiment of Hypovolemia Using Lower Body Negative Pressure. Google ScholarBibTeX
Wang L, Soroushmehr S.M.R, Najarian K, Attin M. 2014. Digitization of Electrocardiogram Prior to In-hospital Cardiac Arrest. Google ScholarBibTeX
Dehghannasiri R, Soroushmehr S.MReza, Shirani S. 2014. FRAME RATE UP-CONVERSION USING NONPARAMETRIC ESTIMATOR. IEEE International Conference on Image Processing (ICIP). Google ScholarBibTeX
Najarian K, Hobson RStacy, Ward KR, Kanik SUmmuhan De, Mirshahi N. 2014. Image processing and machine learning for diagnostic analysis of microcirculation. Google ScholarBibTeX
Belle A, Ji S-Y, Chen W, Huynh T, Najarian K. 2014. Rule-based Computer Aided Decision Making for Traumatic Brain Injuries. Machine Learning in Healthcare Informatics. :229–259.Google ScholarBibTeX
Shandilya S, Sabouriazad P, Attin M, Najarian K. 2014. Time Series Feature Extraction and Machine Learning for Prediction of In-Hospital Cardiac Arrest. Circulation. 130:A19524–A19524.Google ScholarBibTeX
2013
Qi X, Belle A, Shandilya S, Najarian K, Hargraves RSHobson, Cockrell C, Tang Y, Ward K. 2013. Automated Analysis of CT Slices for Detection of Ideal Midline from Brain CT Scans. International Multi-Conference on Computing in the Global Information Technology (ICCGI). Google ScholarBibTeX
Xuguang Q, Belle A, Shandilya S., Najarian K., Chen W, Hargraves R.S.H., Cockrell C. 2013. Automated Intracranial Pressure Prediction Using Multiple Features Sources. IEEE International Conference on Information Science and Applications (ICISA). Google ScholarBibTeX
Chen W, Belle A, Cockrell C, Ward KR, Najarian K. 2013. Automated midline shift and intracranial pressure estimation based on brain CT images. Journal of Visualized Experiments. 74:3871.Google ScholarBibTeX
Najarian K, Deriche R, Kon MA, ST Hirata N. 2013. Bioinformatics and Biomedical Informatics. The Scientific World Journal. 2013:591976.Google ScholarBibTeX
Belle A, Kon MA, Najarian K. 2013. Biomedical informatics for computer-aided decision support systems: a survey. The Scientific World Journal. 2013:769639.PubMedGoogle ScholarBibTeX
Oswal V, Belle A, Diegelmann R, Najarian K. 2013. An entropy-based automated cell nuclei segmentation and quantification: application in analysis of wound healing process. Comput Math Methods Med. 2013:592790.PubMedGoogle ScholarBibTeX
Ji S-Y, Belle A, Ward KR, Ryan KL, Rickards CA, Convertino VA, Najarian K. 2013. Heart rate variability analysis during central hypovolemia using wavelet transformation. J Clin Monit Comput. 27(3):289-302.PubMedGoogle ScholarBibTeX
Luo Y, Hargraves RH, Belle A, Bai O, Qi X, Ward KR, Pfaffenberger M.P., Najarian K. 2013. A hierarchical method for removal of baseline drift from biomedical signals: application in ECG analysis. The Scientific World Journal. 2013:896056.PubMedGoogle ScholarBibTeX
Qi X, Belle A, Shandilya S, Chen W, Cockrell CH, Tang Y, Ward KR, Hargraves RHobson, Najarian K. 2013. Ideal Midline Detection Using Automated Processing of Brain CT Image. Open Journal of Medical Imaging. 3:51-59.Google ScholarBibTeX
Aghazadeh B.S., Khaleghi M, Pidaparti R, Najarian K. 2013. Intracranial pressure (ICP) level estimation using textural features of brain CT images. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 1:130–137.Google ScholarBibTeX
Aghazadeh BS, Ansari S, Pidaparti R, Najarian K. 2013. Non-invasive estimation of intracranial pressure in traumatic brain injury (TBI) using fully-anisotropic Morlet wavelet transform and support vector regression. Biomedical Engineering Letters. 3(3):190-197.Google ScholarBibTeX
Chen W, Cockrell CH, Ward K, Najarian K. 2013. Predictability of intracranial pressure level in traumatic brain injury: features extraction, statistical analysis and machine learning-based evaluation. Int J Data Min Bioinform. 8(4):480-94.PubMedGoogle ScholarBibTeX
Zahery M, Najarian K. 2013. Signal, Image Processing, and Machine Learning: The Key to Complex Problems in Medicine and Biology. Advances in Interdisciplinary Mathematical Research. :141–152.Google ScholarBibTeX
2012
Belle A, Pfaffenberger M, Hargraves R.H, Najarian K. 2012. An Automated Decision Making System for Detecting Loss of Attention In Individuals Using Real Time Processing of Electroencephalogram. VII International Workshop on Biosignal Interpretation . Google ScholarBibTeX
Demir SU, Hakimzadeh R, Hargraves RHobson, Ward KR, Myer EV, Najarian K. 2012. An automated method for analysis of microcirculation videos for accurate assessment of tissue perfusion. BMC Med Imaging. 12:37.PubMedGoogle ScholarBibTeX
Belle A, Hargraves RHobson, Najarian K. 2012. An automated optimal engagement and attention detection system using electrocardiogram. Comput Math Methods Med. 2012:528781.PubMedGoogle ScholarBibTeX
Najarian K., Splinter R.. 2012. Biomedical Signal and Image Processing. Google ScholarBibTeX
Wu J, Davuluri P, Ward KR, Cockrell C, Hobson R, Najarian K. 2012. Fracture Detection in Traumatic Pelvic CT Images. Int J Biomed Imaging. 2012:327198.PubMedGoogle ScholarBibTeX
Davuluri P, Wu J, Tang Y, Cockrell CH, Ward KR, Najarian K, Hargraves RH. 2012. Hemorrhage detection and segmentation in traumatic pelvic injuries. Comput Math Methods Med. 2012:898430.PubMedGoogle ScholarBibTeX
Davuluri P, Wu J, Belle A, Tang Y., Cockrell C., Ward K., Hargraves R., Najarian K.. 2012. An Image Processing And Machine Learning Based Computer-Aided Decision Support For Traumatic Pelvic Injuries. Proceedings of VII International Workshop on Biosignal Interpretation . Google ScholarBibTeX
Shandilya S, Ward K, Kurz M, Najarian K. 2012. Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning. BMC Med Inform Decis Mak. 12:116.PubMedGoogle ScholarBibTeX
Manjili MH, Najarian K, Wang X-Y. 2012. Signatures of tumor-immune interactions as biomarkers for breast cancer prognosis. Future Oncol. 8(6):703-711.PubMedGoogle ScholarBibTeX
2011
Mirshahi N, Demir S, Ward K, Hobson R, Hakimzadeh R, Najarian K. 2011. An adaptive entropic thresholding technique for image processing and diagnostic analysis of microcirculation videos. International Journal on Advances in Life Sciences. 2:133–142.Google ScholarBibTeX
Davuluri P., Wu J., Hobson R., Cockrell C., Ward K., Najarian K.. 2011. An Automated Method for Hemorrhage Detection in Traumatic Pelvic Injuries. The 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '11). Google ScholarBibTeX
Luo Y., Bsoul R., Ward K., Najarian K.. 2011. Confidence-Based Classification with Dynamic Conformal Prediction and Its Applications in Biomedicine. The 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '11). Google ScholarBibTeX
Ansari S., Ward K., Najarian K.. 2011. Epsilon-tube regression: A new method for motion artifact reduction. Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE. Google ScholarBibTeX
Wu J, Davuluri P, Belle A, Cockrell C, Tang Y, Ward K, Hobson R, Najarian K. 2011. Fracture detection and quantitative measure of displacement in pelvic CT images. 2011 International Workshop on Biomedical and Health Informatics, part of IEEE International Conference Bioinformatics & Biomedicine. Google ScholarBibTeX
Davuluri P, Wu J, Belle A, Cockrell C, Tang Y, Ward K, Najarian K, Hargraves R. 2011. A Hybrid Approach for Hemorrhage Segmentation in Pelvic CT Scans. 2011 International Workshop on Biomedical and Health Informatics, part of IEEE International Conference Bioinformatics & Biomedicine. Google ScholarBibTeX
Chen W., Menke N., Li Q., Kecman V., Najarian K.. 2011. Modeling of Blood Coagulation System: Implementation Using a GPU Based High Speed Framework. The 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '11). Google ScholarBibTeX
Wu J., Davuluri P., Hobson R., Cockrell C., Ward K., Najarian K.. 2011. A New Hierarchical Method for Multi-Level Segmentation of Bone in Pelvic CT Scans. The 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '11). Google ScholarBibTeX
Ansari S., Ward K., Najarian K.. 2011. A New Method for Motion Artifact Reduction. The 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '11). Google ScholarBibTeX
Belle A, Hobson R, Najarian K. 2011. A Physiological Signal Processing System for Optimal Engagement and Attention Detection. 2011 International Workshop on Biomedical and Health Informatics, part of IEEE International Conference Bioinformatics & Biomedicine. Google ScholarBibTeX
Shandilya S, Ward K, Kurz M, Najarian K. 2011. Predicting Defibriliation Success with a Multiple-Domain Model Using Machine Learning. 2011 IEEE International Conference on Complex Medical Engineering (CME 2011). Google ScholarBibTeX
Ansari S, Belle A, Hobson R, Ward K, Najarian K. 2011. Reduction of Periodic Motion Artifacts from Impedance Plethysmography. 2011 International Workshop on Biomedical and Health Informatics, part of IEEE International Conference Bioinformatics & Biomedicine. Google ScholarBibTeX
2010
Ansari S., Ward K., Najarian K.. 2010. Adaptive Set-Membership Normalized Least Mean Squares: An Adaptive Filter for the Systems with Bounded Noise. Workshop on Mining and Management of Biological and Health Data, part of The 2010 IEEE International Conference on Bioinformatics & Biomedicine (BIBM2010). Google ScholarBibTeX
Smith R., Ward K., Cockrell C., Ha J., Najarian K.. 2010. Detection of Fracture and Quantitative Assessment of Displacement Measures in Pelvic X-ray Images. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010). Google ScholarBibTeX
Luo Y, Najarian K. 2010. Employing Decoding of Specific Error Correcting Codes as a New Classification Criterion in Multiclass Learning Problems. IEEE International Conference on Pattern Recognition (ICPR). Google ScholarBibTeX
Belle A., Ji S.Y., Ansari S., Hakimzadeh R., Ward K., Najarian K.. 2010. Frustration Detection with Electroencephalogram Signal using Wavelet Transform. The Second International Conference on Advances in Biotechnologies (BIOTECHNO 2010). Google ScholarBibTeX
Ansari S., Belle A., Ward K., Najarian K.. 2010. Impedance Plethysmography on the Arms: Respiration Monitoring. The First Workshop on Knowledge Engineering, Discovery and Dissemination in Health, part of The 2010 IEEE International Conference on Bioinformatics & Biomedicine (BIBM2010). Google ScholarBibTeX
Chen W., Cockrell C., Ward K., Najarian K.. 2010. Intracranial Pressure Level Prediction in Traumatic Brain Injury by Extracting Features from Multiple Sources and Using Machine Learning Methods. The 2010 IEEE International Conference on Bioinformatics & Biomedicine (BIBM2010). Google ScholarBibTeX
Najarian K, Ward K, Andre D, Vyas N, Teller E, Stivoric JM, Farringdon J, Boehmke S, Gasbarro J, Ji S-Y et al.. 2010. Method and apparatus for determining heart rate variability using wavelet transformation. Google ScholarBibTeX
Mirshahi N., Demir S.U., Ward K., Hobson R., Hakimzadeh R., Najarian K.. 2010. A Multi-Resolution Entropic-based Image Processing Technique for Diagnostic Analysis of Microcirculation Videos. The Second International Conference on Advances in Biotechnologies (BIOTECHNO 2010). Google ScholarBibTeX
Najarian K., Vasilache S., Seel N.M.. 2010. "PAC Learning", Encyclopedia of the Sciences of Learning. Google ScholarBibTeX
Vasilache S., Smith R., Wu J., Davuluri P., Ha J., Ward K., Cockrell C., Najarian K.. 2010. Predicting Pelvic Trauma Severity Using Features Extracted from Records and X-Ray and CT Images. The First Workshop on Knowledge Engineering, Discovery and Dissemination in Health, part of The 2010 IEEE International Conference on Bioinformatics & Biomedicine (BIBM2010). Google ScholarBibTeX
Vasilache S, Mirshahi N, Ji S-Y, Mottonen J, Jacobs DJ, Najarian K. 2010. A signal processing method to explore similarity in protein flexibility. Adv Bioinformatics. 2010:454671.PubMedGoogle ScholarBibTeX
Shandilya S., Najarian K., Ward K.. 2010. A Time-Series Approach for Shock Outcome Prediction Using Machine Learning. The First Workshop on Knowledge Engineering, Discovery and Dissemination in Health, part of The 2010 IEEE International Conference on Bioinformatics & Biomedicine (BIBM2010). Google ScholarBibTeX
Bsoul A.A.R., Ji S.Y., Ward K., Najarian K.. 2010. A Unified Signal Processing and Machine Learning Method for Detection of Abnormal Heart Beats Using Electrocardiogram. The First Workshop on Knowledge Engineering, Discovery and Dissemination in Health, part of The 2010 IEEE International Conference on Bioinformatics & Biomedicine (BIBM2010). Google ScholarBibTeX
Demir S, Mirshahi N, Ward K, Hobson RS, Hakimzadeh R., Najarian K. 2010. Vessel Extraction of Microcirculatory Video Recordings Using Multi-Thresholding Based Verification Algorithm. The Second International Conference on Advances in Biotechnologies (BIOTECHNO 2010). Google ScholarBibTeX
2009
Chen W, Smith R, Ji S-Y, Ward KR, Najarian K. 2009. Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching. BMC Med Inform Decis Mak. 9 Suppl 1:S4.PubMedGoogle ScholarBibTeX
Ji S-Y, Ward K, Najarian K. 2009. Brain mapping and detection of functional patterns in fMRI using wavelet transform; application in detection of dyslexia. BMC Med Inform Decis Mak. 9 Suppl 1:S6.PubMedGoogle ScholarBibTeX
Hakimzadeh R., Ji S.Y., Ward K., Daneshvar K., Najarian K.. 2009. Combining Predictive Capabilities of Transcranial Doppler with Electrocardiogram to Predict Hemorrhagic Shock. The 31th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE/EMBS 2009). Google ScholarBibTeX
Ji S-Y, Smith R, Huynh T, Najarian K. 2009. A comparative analysis of multi-level computer-assisted decision making systems for traumatic injuries. BMC Med Inform Decis Mak. 9:2.PubMedGoogle ScholarBibTeX
Bsoul A.A.R., Ji S.Y., Ward K., Najarian K.. 2009. Detection of P, QRS, and T Components of ECG Using Wavelet Transformation. The 2009 IEEE/ICME International Conference on Complex Medical Engineering (CME2009). Google ScholarBibTeX
Ansari S., Najarian K., Ward K., Tiba M.H. 2009. Extraction of Respiratory Rate from Impedance Signal Measured on Arm: A Portable Respiratory Rate Measurement Device. IEEE Conference on Bioinformatics and Biomedicine (IEEE BIBM 2009). Google ScholarBibTeX
Smith R, Najarian K, Ward K. 2009. A hierarchical method based on active shape models and directed Hough transform for segmentation of noisy biomedical images; application in segmentation of pelvic X-ray images. BMC Med Inform Decis Mak. 9 Suppl 1:S2.PubMedGoogle ScholarBibTeX
Vasilache S., Chen W., Ward K., Najarian K.. 2009. Hierarchical Object Recognition in Pelvic CT Images. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2009). Google ScholarBibTeX
Vasilache S., Chen W., Ward K., Najarian K.. 2009. Hierarchical Object Recognition in Pelvic CT Images. The 31th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE/EMBS). Google ScholarBibTeX
Demir S., Mirshahi N., Tiba H., Draucker G., Ward K., Hobson R., Najarian K.. 2009. Image Processing and Machine Learning for Diagnostic Analysis of Microcirculation. 2009 IEEE/ICME International Conference on Complex Medical Engineering (CME2009). Google ScholarBibTeX
Demir S., Mirshahi N., Tiba H., Draucker G., Ward K., Hobson R., Najarian K.. 2009. Image Processing and Machine Learning for Diagnostic Analysis of Microcirculation. ICME International Conference on Complex Medical Engineering (CME 2009). Google ScholarBibTeX
Olsen G., Brilliant S., Primeaux D., Najarian K.. 2009. An Image-Processing Enabled Dental Caries Detection System. The 2009 IEEE/ICME International Conference on Complex Medical Engineering (CME2009). Google ScholarBibTeX
Olsen G., Brilliant S., Primeaux D., Najarian K.. 2009. An Image-Processing Enabled Dental Caries Detection System. The 2009 IEEE/ICME International Conference on Complex Medical Engineering (CME2009). Google ScholarBibTeX
Olsen G., Brilliant S., Primeaux D., Najarian K.. 2009. An Image-Processing Enabled Dental Caries Detection System. CME International Conference on Complex Medical Engineering (CME 2009). Google ScholarBibTeX
Ji S.Y., Bsoul A.A.R., Ward K., Ryan K., Rickard C., Convertino V., Najarian K.. 2009. Incorporating Physiological Signals to Blood Loss Prediction Based on Discrete Wavelet Transformation. 2009 American Heart Association (AHA) Resuscitation Science Symposium. Google ScholarBibTeX
Bsoul A.R, Ji S.Y., Ward K., Ryan K., Rickard C., Convertino V., Najarian K.. 2009. Prediction of Severity of Blood Volume Loss Using Features Based on P, T and QRS Waves. 2009 American Heart Association (AHA) Resuscitation Science Symposium. Google ScholarBibTeX
Hakimzadeh R., Ji S.Y., Smith R., Ward K., Daneshvar K., Najarian K.. 2009. Processing of Transcranial Doppler for Assessment of Blood Volume Loss. 2009 IEEE Information Reuse and Integration (IRI). Google ScholarBibTeX
Chen W., Najarian K.. 2009. Segmentation of Ventricles in Brain CT Images Using Gaussian Mixture Model Method. The 2009 IEEE/ICME International Conference on Complex Medical Engineering (CME2009). Google ScholarBibTeX
Ji S.Y., Ward K., Ryan K., Rickard C., Convertino V., Vyas N., Stivoric J., Najarian K.. 2009. Severity of Hemorrhage Prediction of ECG Signal with Wavelet Transformation Analysis. 2009 American Heart Association (AHA) Resuscitation Science Symposium. Google ScholarBibTeX
Ji S.Y., Ward K., Ryan K., Rickard C., Convertino V., Vyas N., Stivoric J., Najarian K.. 2009. Severity of Hemorrhage Prediction of ECG Signal with Wavelet Transformation Analysis. : 2009 American Heart Association (AHA) Resuscitation Science Symposium. Google ScholarBibTeX
Olsen G., Brilliant S., Primeaux D., Najarian K.. 2009. Signal Processing and Machine Learning for Real-Time Classification of Ergonomic Posture with Unobtrusive On-body Sensors; Application in dental Practice. The 2009 IEEE/ICME International Conference on Complex Medical Engineering (CME2009). Google ScholarBibTeX
Olsen G., Brilliant S., Primeaux D., Najarian K.. 2009. Signal processing and machine learning for real-time classification of ergonomic posture with unobtrusive on-body sensors; application in dental practice. ICME International Conference on Complex Medical Engineering (CME 2009). Google ScholarBibTeX
Smith R., Najarian K.. 2009. Splines and Active Model for Segmentation of Pelvic X-ray Images. The 2009 IEEE/ICME International Conference on Complex Medical Engineering (CME2009). Google ScholarBibTeX
Smith R., Najarian K.. 2009. Splines and Active Model for Segmentation of Pelvic X-ray Images. ICME International Conference on Complex Medical Engineering (CME 2009). Google ScholarBibTeX
Najarian K., Eichelberger C., Najairian S., Gharibnia S.. 2009. Systems Biology and Bioinformatics:: A Computational Approach. Google ScholarBibTeX
Chen W., Smith R., Vasilache S., Najarian K., Ward K., Cockrell C., Ha J.. 2009. Traumatic Pelvic Injury Outcome Prediction by Extracting Features from Relevant Medical Records and X-ray Images. IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2009). Google ScholarBibTeX
Vasilache GS., Najarian K.. 2009. A Unified Method Based on Wavelet Filtering and Active Contour Models for Segmentation of Pelvic CT Images. 2009 IEEE/ICME International Conference on Complex Medical Engineering (CME2009). Google ScholarBibTeX
Vasilache S., Najarian K.. 2009. A unified method based on wavelet filtering and Active Contour Models for segmentation of Pelvic CT images. of ICME International Conference on Complex Medical Engineering (CME 2009). Google ScholarBibTeX
Vasilache S, Ward K, Cockrell C, Ha J, Najarian K. 2009. Unified wavelet and Gaussian filtering for segmentation of CT images; application in segmentation of bone in pelvic CT images. BMC Med Inform Decis Mak. 9 Suppl 1:S8.PubMedGoogle ScholarBibTeX
Demir S., Mirshahi N., Ward K., Hobson R.S., Najarian K.. 2009. Vessel Segmentation Based on Multi-Thresholding for Diagnostic Analysis of Microcirculation. 2009 American Heart Association’s Scientific Sessions and Resuscitation Science Symposium. Google ScholarBibTeX
Ji S.Y., Chen W., Ward K., Rickard C., Ryan K., Convertino V., Najarian K.. 2009. Wavelet Based Analysis of Physiological Signals for Prediction of Severity of Hemorrhagic Shock. The 2009 IEEE/ICME International Conference on Complex Medical Engineering (CME2009). Google ScholarBibTeX
Ji S.Y., Chen W., Ward K., Rickard C., Ryan K., Convertino V., Najarian K.. 2009. Wavelet Based Analysis of Physiological Signals for Prediction of Severity of Hemorrhagic Shock. ICME International Conference on Complex Medical Engineering (CME 2009). Google ScholarBibTeX
2008
Vasilache S., Najarian K.. 2008. Automated bone segmentation from pelvic CT images. 2008 IEEE Bioinformatics and Biomedicine (BIBM) International Workshop on Biomedical and Hearth Informatics (BHI). Google ScholarBibTeX
Chen W., Smith R., Ji S.Y, Najarian K.. 2008. Automated segmentation of lateral ventricles in brain CT images. 2008 IEEE Bioinformatics and Biomedicine (BIBM) International Workshop on Biomedical and Hearth Informatics (BHI). Google ScholarBibTeX
Smith R., Najarian K.. 2008. Automated segmentation of pelvic bone structure in X-ray radiographs Using active shape models and directed Hough transform. 2008 IEEE Bioinformatics and Biomedicine (BIBM) International Workshop on Biomedical and Hearth Informatics (BHI). Google ScholarBibTeX
Najarian K., DeMott, II R., Cooper J.. 2008. Automated Target Recognition and Classification in Aerial Photography. International Journal of System, Signal, Control and Engineering Application. 1:1-14.Google ScholarBibTeX
Ji S-Y, Najarian K, Smith R, Huynh T. 2008. Computer Aided Traumatic Pelvic Injury Decision Making. Southern Association for Information Systems. Google ScholarBibTeX
Jeong DHyun, Darvish A, Najarian K, Yang J, Ribarsky W. 2008. Interactive visual analysis of time-series microarray data. The Visual Computer. 24:1053–1066.Google ScholarBibTeX
Ji S.Y., Najarian K.. 2008. A modified maximum correlation modeling method for fMRI brain. 2008 IEEE Bioinformatics and Biomedicine (BIBM) International Workshop on Biomedical and Hearth Informatics (BHI). Google ScholarBibTeX
Vasilache S, Ji S-Y, Smith R, Huynh T, Najarian K. 2008. Outcome Prediction in Traumatic Pelvic Injuries Using Maximum Similarity and Quality Measures. IEEE Conference on Information Reuse and Integration 2008 (IRI’2008). Google ScholarBibTeX
2007
Li Z., Najarian K.. 2007. Biomedical Image Segmentation Based on Shape Stability. 14th IEEE International Conference on Image Processing (ICIP’2007). Google ScholarBibTeX
Ji S.Y., Huynh T., Najarian K.. 2007. A Comparative Medical Informatics Approach to Traumatic Pelvic Injuries. IEEE International Conference on Bioinformatics and Biomedicine (BIBM'2007). Google ScholarBibTeX
Ji S-Y, Huynh T, Najarian K. 2007. A Comparative Medical Informatics Approach to Traumatic Pelvic Injuries. IEEE International Conference on Bioinformatics and Biomedicine. Google ScholarBibTeX
Green T.M., Najarian K.. 2007. Correlations between emotion regulation, learning performance, and cortical activity. 29th Annual Conference of the Cognitive Science Society. Google ScholarBibTeX
Ji S.Y., Huynh T., Najarian K.. 2007. An Intelligent Method for Computer-Aided Trauma Decision Making System. 45th ACM Southeast Conference (ACMSE’2007). Google ScholarBibTeX
Darvish A., Najarian K., Sudjianto A., Kern D.. 2007. Signal Processing and Classification for Detection of Suspicious Transactions. Joint Statistical Meetings (JSM). Google ScholarBibTeX
2006
Najarian K. 2006. Automated digital watermarking methods using neural networks. Google ScholarBibTeX
Najarian K., Eichelberger C.. 2006. "Back-Propagation Algorithm", in Wiley Encyclopedia of Biomedical Engineering. Wiley Encyclopedia of Biomedical Engineering. Google ScholarBibTeX
Najarian K., Eichelberger C., Akay M.. 2006. "Genetic Algorithms of Processing and Classification", in Wiley Encyclopedia of Biomedical Engineering. Wiley Encyclopedia of Biomedical Engineering. Google ScholarBibTeX
Najarian K., Darvish A., Akay M.. 2006. "Maximum Likelihood Estimation; Applications in Analysis of Biomedical Signals and Images" , in Wiley Encyclopedia of Biomedical Engineering. Wiley Encyclopedia of Biomedical Engineering. Google ScholarBibTeX
Najarian K., Darvish A., Akay M.. 2006. "Neural Networks and Their Applications in Biomedical Engineering" , in Wiley Encyclopedia of Biomedical Engineering. Wiley Encyclopedia of Biomedical Engineering. Google ScholarBibTeX
Darvish A, Najarian K. 2006. Prediction of regulatory pathways using mRNA expression and protein interaction data: application to identification of galactose regulatory pathway. Biosystems. 83(2-3):125-35.PubMedGoogle ScholarBibTeX
Najarian K., Ford B., Akay M.. 2006. "Protein Structure, Folding, and Conformation", in Wiley Encyclopedia of Biomedical Engineering. Wiley Encyclopedia of Biomedical Engineering. Google ScholarBibTeX
Li Z., Najarian K.. 2006. Similarity calculation for anti-HIV drugs based on spanning tree matching algorithm. 23rd American Chemical Society (ACS) National Meeting. Google ScholarBibTeX
Eichelberger C., Najarian K.. 2006. Simulating Protein Computing: Character Recognition. IEEE conference on Granular Computing. Google ScholarBibTeX
Najarian K., Eichelberger C., Akay M.. 2006. "Software Engineering", in Wiley Encyclopedia of Biomedical Engineering. Wiley Encyclopedia of Biomedical Engineering. Google ScholarBibTeX
2005
Najarian K., Splinter R.. 2005. Biomedical Signal and Image Processing. Google ScholarBibTeX
Dargahi J., Najarian S., Najarian K.. 2005. Development and 3-dimensional modeling of a biological tissue grasper tool equipped with a tactile sensor. The IEEE Canadian Journal of Electrical and Computer Engineering. 30(4):225-230.Google ScholarBibTeX
Najarian K.. 2005. Fixed-Distribution PAC Learning Theory for Neural FIR Models. Journal of Intelligent Information Systems. 25(3):275-291.Google ScholarBibTeX
Najarian K, Gopalakrishnan K, Zadeh RH. 2005. Signal processing for functional analysis of protein mutants. International Journal of Bioinformatics Research and Applications. 1(1):102–120.Google ScholarBibTeX
Najarian K., Jeong D.H., Ribarsky W.. 2005. System Identification and Nonlinear Factor Analysis for Discovery and Visualization of Dynamic Gene Regulatory Pathways. 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. Google ScholarBibTeX
2004
Zhang G., Mays L., Najarian K.. 2004. Comparison of Haploview and Hap Based on Haplotype Analysis Using Genotype Data on Chromosome 19. The International Conference on Molecular Systems Biology. Google ScholarBibTeX
Gopalakrishnan K., Najarian K.. 2004. Computational Analysis and Classification of p53 Mutants According to Primary Structure. 3rd annual Computational Systems Bioinformatics conference (CSB2004). Google ScholarBibTeX
Najarian K., Kedar A., Paleru R., Zadeh R.H., Darvish A.. 2004. Discovering Biological Gene Clusters from DNA Microarray Data using Independent Component Analysis and Scoring Function Based on Protein Interactions. IEEE International Conference Intelligent Systems. Google ScholarBibTeX
Darvish A., Zadeh R.H., Najarian K.. 2004. Discovering Dynamic Regulatory Pathway by Applying an Auto Regressive Model to Time Series DNA Microarray Data. 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE/EMBS 2004),. Google ScholarBibTeX
Bak E., Najarian K.. 2004. Domain Conversion with Local Posteriors for Image Segmentation. 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2004). Google ScholarBibTeX
Bak E., Najarian K., Brockway J.. 2004. Efficient Segmentation Framework of Cell Images in Noise Environment. 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE/EMBS 2004). Google ScholarBibTeX
Najarian K, Warren DScott. 2004. Methods and systems for the prediction of the biological function of biopolymers. Google ScholarBibTeX
Najarian K, Warren DScott. 2004. Methods and systems for the prediction of the biological function of biopolymers. Google ScholarBibTeX
Darvish A., Bak E., Najarian K.. 2004. A New Hierarchical Method for Identification of Dynamic Regulatory Pathways from Time-Series DNA Microarray Data. 3rd annual Computational Systems Bioinformatics conference (CSB2004). Google ScholarBibTeX
Najarian K, Zaheri M, Rad AA, Najarian S, Dargahi J. 2004. A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data. BMC Bioinformatics. 5:201.PubMedGoogle ScholarBibTeX
Darvish A., Najarian K.. 2004. Prediction of Regulatory Pathways Using mRNA Expression and Protein-Protein Interaction Data: Application to Prediction of Galactose Regulatory Pathway. 5th International Conference on Systems Biology. Google ScholarBibTeX
Bak E., Najarian K.. 2004. Robust Segmentation Using Parametric and Nonparametric Local Spatial Posteriors. International Conference on Information Technology (ITCC 2004). Google ScholarBibTeX
Bak E., Darvish A., Zaheri M., Najarian K.. 2004. Semiparametric Detection of Differentially Expressed Genes in the Microarray Data. 7th Conference on Computational Genomics. Google ScholarBibTeX
Radhakrishnan S., Najarian K., Mays E.. 2004. Splice Site Detection using Pruned Maximum Likelihood Model. 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE/EMBS 2004). Google ScholarBibTeX
2003
Fan J., Zhu X., Najarian K., Wu L.. 2003. Assessing Video Contents Through Key Objects over IP. Multimedia Tools and Applications. 21:79-95.Google ScholarBibTeX
Tzacheva AA, Najarian K, Brockway JP. 2003. Breast cancer detection in gadolinium-enhanced MR images by static region descriptors and neural networks. Journal of Magnetic Resonance Imaging. 17:337–342.Google ScholarBibTeX
Wilson C, Brown D, Najarian K, Hanley EN, Gruber HE. 2003. Computer aided vertebral visualization and analysis: a methodology using the sand rat, a small animal model of disc degeneration. BMC musculoskeletal disorders. 4:4.Google ScholarBibTeX
, Davis M.J., Splinter R., Lockhart P., Brennan M., Fox P.C., Najarian K.. 2003. Optical Diagnostics for Classifying Stages of Dental Erythema. 2003 Southern Biomedical Engineering Conference. Google ScholarBibTeX
Gopalakrishnan K., Najarian K.. 2003. Prediction of Protein Function Using Signal Processing of Biochemical Properties. The Computational Systems Bioinformatics Conference (CSB2003). Google ScholarBibTeX
Muralikrishnan B, Raja J, Najarian K. 2003. Surface wavelength content based clustering using neural networks for manufacturing process mapping. International Journal of Machine Tools and Manufacture. 43:369–377.Google ScholarBibTeX
2002
Nadjm-Tehrani S, Najarian K., Curescu C, Lingvall T, Dahlberg TA. 2002. Adaptive load control algorithms for 3rd generation mobile networks. 5th ACM International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems. Google ScholarBibTeX
Najarian K. 2002. FIR Volterra kernel neural models and PAC learning. Complexity. 7:48–55.Google ScholarBibTeX
Najarian K.. 2002. Learning of FIR and ARX Neural Networks With Empirical Risk Minimization Algorithm. Triennial 15th IFAC World Conference on Automatic Control. Google ScholarBibTeX
Warren D.S., Najarian K.. 2002. Learning Theory Applied to Sigmoid Network Classification of Protein Biological Function Using Primary Structure. Discrete and Continuous Dynamical Systems. Sup. vol:898-904.Google ScholarBibTeX
Najarian K. 2002. Learning-based complexity evaluation of radial basis function networks. Neural Processing Letters. 16:137–150.Google ScholarBibTeX
Warren D.S., Najarian K.. 2002. Neural Networks for Length-Dependent and Length-Independent Functional Classification and Prediction of Small Sequences of Lipase, Protease, and Isomerase. The Fourth International Conference on Dynamical Systems and Differential Equations. Google ScholarBibTeX
Najarian K., Misaghian M., Hadzikadic M.. 2002. Neural Networks for Signal Processing and Control; A Survey. The Fourth International Conference on Dynamical Systems and Differential Equations. Google ScholarBibTeX
Najarian K.. 2002. On Stochastic Stability of Dynamic Neural Networks. Discrete and Continuous Dynamical Systems. Sup. vol:656-663.Google ScholarBibTeX
Najarian K.. 2002. On Stochastic Stability of Feedback Neural Networks. The Fourth International Conference on Dynamical Systems and Differential Equations. Google ScholarBibTeX
2001
Li Z., Najarian K.. 2001. Automated Classification of Pap Smear Tests Using Neural Networks. International Joint Conference on Neural Networks (IJCNN’2001). Google ScholarBibTeX
Li Z., Najarian K.. 2001. Automated Classification of Pap Smear Tests Using Neural Networks. International Joint Conference on Neural Networks (IJCNN’2001). Google ScholarBibTeX
Liu J., Najarian K., El-Kwae E.E.. 2001. Comparative Evaluation of Wavelet-Based Digital Image Watermarking. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2001). Google ScholarBibTeX
Zou Z, Najarian K., Wu G. 2001. Evaluating Functional Relation among Biomechanical Variables. hirty-Fifth Annual Asilomar Conference on Signals, Systems and Computers. Google ScholarBibTeX
Najarian K.. 2001. On Learning and Computational Complexity of FIR Radial Basis Function Networks Part I: Learning. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2001). Google ScholarBibTeX
Najarian K.. 2001. On Learning and Computational Complexity of FIR Radial Basis Function Networks Part II: Complexity measures. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2001). Google ScholarBibTeX
Najarian K. 2001. On learning of sigmoid neural networks. Complexity. 6:39–45.Google ScholarBibTeX
Davis K.J., Najarian K.. 2001. Maximizing Strength of Digital Watermarks Using Neural Networks. International Joint Conference on Neural Networks (IJCNN’2001). Google ScholarBibTeX
NG Y, Najarian K.. 2001. Network’s Traffic Estimation Using Neural Networks. hirty-Fifth Annual Asilomar Conference on Signals, Systems and Computers. Google ScholarBibTeX
Najarian K, Dumont GA, Davies MS, Heckman NE. 2001. PAC learning in non-linear FIR models. International Journal of Adaptive Control and Signal Processing. 15:37–52.Google ScholarBibTeX
, Najarian K., Raja J.. 2001. Process Mapping and Functional Correlation in Surface Metrology: A Novel Clustering Application. International Conference on Pattern Recognition (ICPR'2001). Google ScholarBibTeX
2000
Najarian K, Soroushmehr S.M.R, Ward KR, Nallamothu BK. 0. Automated analysis of vasculature in coronary angiograms. Google ScholarBibTeX
Najarian K, Belle A, Ward K, Derksen H. 0. Early detection of hemodynamic decompensation using taut-string transformation. Google ScholarBibTeX
Peyman N, Najarian K. 0. System and method for generating heat at target area of patients body. Google ScholarBibTeX