Ayman El-Baz
Chairperson, Professor & Distinguished Scholar
Ayman El-Baz, Ph.D., Professor in the Department of Bioengineering at the University of Louisville, KY. Dr. El-Baz has twelve years of hands-on experience in the fields of bioimaging modeling and computer-assisted diagnostic systems. He has developed new techniques for analyzing 3D medical images. His work has been reported at several prestigious international conferences (e.g., CVPR, ICCV, MICCAI, etc.) and in journals (e.g., IEEE TIP, IEEE TBME, IEEE TITB, Brain, etc.). His work related to novel image analysis techniques for lung cancer and autism diagnosis have earned him multiple awards, including: first place at the annual Research Louisville 2002, 2005, 2006, 2007, 2008, 2010, 2011 and 2012 meetings, and the "Best Paper Award in Medical Image Processing" from the prestigious ICGST International Conference on Graphics, Vision and Image Processing (GVIP-2005). Dr. El-Baz has authored or coauthored more than 300technical articles.
Education
- B.S. in Electrical Engineering, Mansoura University, 1997
- M.S. in Electrical Engineering, Mansoura University, 2000
- Ph.D. in Electrical and Computer Engr, University of Louisville, 2006
Publications
Journal Articles
- Dekhil, O., Shalaby, A., Soliman, A., Mahmoud, A., Kong, M., Barnes, G., Elmaghraby, A. & El-Baz, A., S. (2021). Identifying brain areas correlated with ADOS raw scores by studying altered dynamic functional connectivity patterns. Medical Image Analysis, Vol. 68
- Miller, J., Meki, M., Ou, Q., George, S., Gams, A., Abouleisa, R., Tang, X., Ahern, B., Giridharan, G., El-Baz, A., S., Hill, B., Satin, J., Conklin, D., J., Moslehi, J., Bolli, R., Ribeiro, A., Efimov, I. & Mohamed, T. (2020). Heart Slice Culture System Reliably Demonstrates Clinical Drug-Related Cardiotoxicity. Toxicology and Applied Pharmacology, Volume 406
- Liang, L., Mekki, M., Wang, W., Sethu, P., El-Baz, A., S., Giridharan, G., A. & Wang, Y. (2020). A Suction Index Based Control System for Rotary Blood Pumps. Biomedical Signal Processing and Control, 62, 102057
- Hubscher, C., Hoey, R., Medina-Aguinaga, D., Khalifa, F., Zdunowski, Z., Herrity, A., El-Baz, A., S. & Harkema, S. (2020). Impact of Lumbosacral Epidural Stimulation On Lower Urinary Tract Function In Anesthetized Female Wistar Rats. Journal of Neurourology And Urodynamics, Vol. 39(S175-S175)
- Hubscher, C., Hoey, R., Medina-Aguinaga, D., Khalifa, F., Zdunowski, S., El-Baz, A., S., Herrity, A. & Harkema, S. (2020). Epidural Stimulation Targeting Lower Urinary Tract Function in Spinally Intact and Transected Urethane‐Anesthetized Rats. The FASEB Journal, 34(Issue S1)
- Alkadi, R., Taher, F., El-Baz, A., S. & Werghi, N. (2018). A Deep Learning-Based Approach for the Detection and Localization of Prostate Cancer in T2 Magnetic Resonance Images.. Journal of Digital Imaging, 1--15
- Asl, E., H., Ghazal, M., Mahmoud, A., Aslantas, A., Shalaby, A., Casanova, M., Barnes, G., Gimel'farb, G., Keynton, R., S., El-Baz, A., S. & Gimel’farb, G. (2018). Alzheimer’s disease diagnostics by a 3D deeply supervised adaptable convolutional network. Frontiers in bioscience (Landmark edition), 23, 584--596
- Dekhil, O., Hajjdiab, H., Ayinde, B., Shalaby, A., Switala, A., Elshamekh, A., Ghazal, M., Barnes, G. & El-Baz, A., S. (2018). Using Resting State Functional MRI To Build A Personalized Autism Diagnosis System. PLOS One Journal
- El-Gamal, F., E., Elmogy, M., M., Ghazal, M., Atwan, A., Casanova, M., F., Barnes, G., N., Keynton, R., S., El-Baz, A., S. & Khalil, A. (2018). A Novel Early Diagnosis System for Mild Cognitive Impairment Based on Local Region Analysis: A Pilot Study. Frontiers in human neuroscience, 11, 643
- El-Gamal, F., Elmogy, M., Ghazal, M., Atwan, A., Casanova, M., Barnes, G., El-Baz, A., S. & Hajjdiab, H. (2018). Medical imaging diagnosis of early Alzheimer's disease.. Frontiers in bioscience (Landmark edition), 23, 671--725
- ElTanboly, A., H., Palacio, A., Shalaby, A., M., Switala, A., E., Helmy, O., Schaal, S. & El-Baz, A., S. (2018). An automated approach for early detection of diabetic retinopathy using SD-OCT images.. Frontiers in bioscience (Elite edition), 10, 197--207
- Eladawi, N., Elmogy, M., Ghazal, M., Helmy, O., Aboelfetouh, A., Riad, A., Schaal, S. & El-Baz, A., S. (2018). Classification of retinal diseases based on oct images. Front Biosci Landm, 23, 247--264
- Eladawi, N., Elmogy, M., Khalifa, F., Ghazal, M., Ghazi, N., Aboelfetouh, A., Riad, A., Sandhu, H., Schaal, S. & El-Baz, A., S. (2018). Early diabetic retinopathy diagnosis based on local retinal blood vessels analysis in optical coherence tomography angiography (OCTA) images. Medical physics
- Garcia Zapirain, B., Elmogy, M., El-Baz, A., S. & Elmaghraby, A., S. (2018). Classification of pressure ulcer tissues with 3D convolutional neural network. Medical & Biological Engineering & Computing, 1--14
- Maniruzzaman, M., Rahman, M., J., Al-MehediHasan, M., Suri, H., S., Abedin, M., M., El-Baz, A., S. & Suri, J., S. (2018). Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers. Journal of medical systems, 42(5), 92
- Maniruzzaman, M., Suri, H., S., Kumar, N., Abedin, M., M., Rahman, M., J., El-Baz, A., S., Bhoot, M., Teji, J., S. & Suri, J., S. (2018). Risk factors of neonatal mortality and child mortality in Bangladesh. Journal of global health, 8(1)
- Ohja, K., Gozal, E., Fahnestock, M., Cai, L., Cai, J., Freedman, J., H., Switala, A., El-Baz, A., S. & Barnes, G., N. (2018). Neuroimmunologic and Neurotrophic Interactions in Autism Spectrum Disorders: Relationship to Neuroinflammation. Neuromolecular medicine, 1--13
- Reda, I., Khalil, A., Elmogy, M., Abou El-Fetouh, A., Shalaby, A., Abou El-Ghar, M., Elmaghraby, A., S., Ghazal, M. & El-Baz, A., S. (2018). Deep Learning Role in Early Diagnosis of Prostate Cancer. Technology in cancer research & treatment, 17, 1533034618775530
- Sandhu, H., S., El-Baz, A., S. & Seddon, J., M. (2018). Progress in Automated Deep Learning for Macular Degeneration. JAMA ophthalmology
- Sandhu, H., S., Eladawi, N., Elmogy, M., Keynton, R., S., Helmy, O., Schaal, S. & El-Baz, A., S. (2018). Automated diabetic retinopathy detection using optical coherence tomography angiography: a pilot study. British Journal of Ophthalmology, bjophthalmol--2017
- Sandhu, H., S., Eltanboly, A., Shalaby, A., Keynton, R., S., Schaal, S. & El-Baz, A., S. (2018). Automated Diagnosis and Grading of Diabetic Retinopathy Using Optical Coherence Tomography. Investigative ophthalmology & visual science, 59(7), 3155--3160
- Shaffie, A., Soliman, A., Fraiwan, L., Ghazal, M., Taher, F., Dunlap, N., Wang, B., van Berkel, V., Keynton, R., S., Elmaghraby, A., S. & El-Baz, A., S. (2018). A Generalized Deep Learning-Based Diagnostic System for Early Diagnosis of Various Types of Pulmonary Nodules. Technology in Cancer Research & Treatment, 17, 1533033818798800
- Shehata, M., Khalifa, F., Soliman, A., Ghazal, M., Taher, F., El-Ghar, M., A., Dwyer, A., Gimel'farb, G., Keynton, R., S. & El-Baz, A., S. (2018). Computer-aided diagnostic system for early detection of acute renal transplant rejection using diffusion-weighted MRI. IEEE Transactions on Biomedical Engineering
- Shehata, M., Mahmoud, A., Soliman, A., Khalifa, F., Ghazal, M., El-Ghar, M., A., El-Melegy, M. & El-Baz, A., S. (2018). 3D kidney segmentation from abdominal diffusion MRI using an appearance-guided deformable boundary. PloS one, 13(7), e0200082
- Araki, T., Jain, P., Suri, H., Londhe, N., Ikeda, N., El-Baz, A., Shrivastava, V., Saba, L., Nicolaides, A., Shafique, S., Laird, J. & Gupta, A. (2017). Stroke Risk Stratification and Its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm. Computers in Biology and Medicine, 80, 77-96
- Bhutiani, N., Kimbrough, C., Burton, N., Morscher, S., Egger, M., McMasters, K., El-Baz, A. & McNally, L. (2017). Detection of microspheres in vivo using Multispectral Optoacoustic Tomography. Biotechnic & Histochemistry, 1-6
- Eladawi, N., Elmogy, M., Helmy, O., Aboelfetouh, A., Riad, A., Sandhu, H., Schaal, S. & El-Baz, A., S. (2017). Automatic Blood Vessels Segmentation Based on Different Retinal Maps from OCTA Scans. Computers in Biology and Medicine
- Garcia-Zapirain, B., Shalaby, A., El-Baz, A., S. & Elmaghraby, A., S. (2017). Automated framework for accurate segmentation of pressure ulcer images. Computers in biology and medicine, 90, 137--145
- Khalifa, F., Soliman, A., Elmaghraby, A., S., Gimel'farb, G., El-Baz, A. & Gimel’farb, G. (2017). 3D Kidney Segmentation from Abdominal Images Using Spatial-Appearance Models. Computational and Mathematical Methods in Medicine, Special issue: Machine Learning Applications in Medical Image Analysis (MLAA), 2017, 1-10
- Shalaby, A., Taher, F., El-Baz, M., Ghazal, M., Abou El-Ghar, M., Taqieldeen, A. & El-Baz, A., S. (2017). Probabilistic Modeling of Blood Vessels for Segmenting Magnetic Resonance Angiography Images. Medical Research Archives
- Soliman, A., Khalifa, F., Elnakib, A., Abou El-Ghar, M., Dunlap, N., Wang, B., Gimel'farb, G., Keynton, R. & El-Baz, A. (2017). Accurate Segmentation of Pathological Lungs using Adaptive Shape Guided by CT Images Appearance. IEEE Transactions of Medical Imaging, 36(1), 263-276
- Alansary, A., Ismail, M., Soliman, A., Khalifa, F., Nitzken, M., Elnakib, A., Casanova, M. & El-Baz, A. (2016). Infant Brain Extraction in T1-weighted MR Images using BET and Refinement using LCDG and MGRF Models. IEEE Journal of Biomedical and Health Informatics, 20(3), 925-935
- Alansary, A., Ismail, M., Soliman, A., Khalifa, F., Nitzken, M., Elnakib, A., Mostapha, M., Black, A., Stinebrunner, K., Casanova, M., F., Zurada, J., M. & El-Baz, A., S. (2016). Infant Brain Extraction in T1-weighted MR Images using BET and Refinement using LCDG and MGRF Models. IEEE Journal of Biomedical and Health Informatics, 20(3), 925-935
- Asl, E., H., Zurada, J., M., Gimmel'farb, G. & El-Baz, A., S. (2016). 3D Lung Segmentation Using Incremental Constrained Nonnegative Matrix Factorization. IEEE Transactions on Biomedical Engineering, 63(5), 952-963
- Banchhor, S., Araki, T., Londhe, N., Ikeda, N., Radeva, P., El-Baz, A., Saba, L., Nicolaides, A., Shafique, S., Laird, J. & Suri, J. (2016). Five Multiresolution-based Calcium Volume Measurement Techniques from Coronary IVUS Videos: A Comparative Approach. Computer Methods and Programs in Biomedicine, 134, 237-258
- Hosseini-Asl, E., Zurada, J., M., Gimel'farb, G., El-Baz, A., S. & Gimel’farb, G. (2016). 3-D Lung Segmentation Using Incremental Constrained Nonnegative Matrix Factorization. IEEE Transactions on Biomedical Engineering, 63(5), 952-963
- Ismail, M., M., Keynton, R., S., Mostapha, M., M., ElTanboly, A., H., Casanova, M., F., Gimel'farb, G., L. & El-Baz, A. (2016). Studying Autism Spectrum Disorder with Structural and Diffusion Magnetic Resonance Imaging: A Survey. Frontiers in Human Neuroscience, 10, 211
- Nitzken, M., Beache, G., Gimel'farb, G., El-Baz, A., Ismail, M. & Gimel’farb, G. (2016). Improving Full-Cardiac Cycle Strain Estimation from Tagged CMR by Accurate Modeling of 3D Image Appearance Characteristics. The Egyptian Journal of Radiology and Nuclear Medicine, 47(1), 83-94
- Schaal, S., ElTanboly, A., Ismail, M., Switala, A., Shalaby, A., Hadayer, A., Abdelmegid, O. & El-Baz, A. (2016). A Novel Automated Method for the Objective Quantification of Retinal Layers Reveals Sequential Changes That Occur in the Normal Retina with Age. Frontiers in Nanoscience and Nanotechnolog, 2(5), 184-189
- Sokhadze, E., Casanova, M., El-Baz, A., Farag, H., Li, X. & Wang, Y. (2016). TMS-Based Neuromodulation of Evoked and Induced Gamma Oscillations and Event-Related Potentials in Children with Autism. Neuroregulation, 3(3), 101-126
- Sokhadze, E., Tasman, A., Sokhadze, G., El-Baz, A. & Casanova, M. (2016). Behavioral, Cognitive, and Motor Preparation Deficits in a Visual Cued Spatial Attention Task in Autism Spectrum Disorder. Applied Psychophysiology and Biofeedback, 41(1), 81-92
- Wang, Y., Sokhadze, E., M., El-Baz, A., S., Li, X., L., Sears, L., Casanova, M., F. & Tasman, A. (2016). Relative Power of Specific EEG Bands and Their Ratios during Neurofeedback Training in Children with Autism Spectrum Disorder. Frontiers in Human Neuroscience, 9, 723
- Elnakib, A., Beache, G., Gimel'farb, G., El-Baz, A., S. & Gimel’farb, G. (2015). Intramyocardial Strain Estimation from Cardiac Cine MRI. International Journal of Computer Assisted Radiology and Surgery (IJCARS), 10(8), 1299-1312
- Vincken, K., Kuijf, H., Breeuwer, M., Bouvy, W., de Bresser, J., Alansary, A., de Bruijne, M., Carass, A., El-Baz, A., Jog, A., Katyal, R., Khan, A., van der Lijn, F., Mahmood, Q., Mukherjee, R., van Opbroek, A., Paneri, S., Persson, M., Rajchl, M., Sarikaya, D., Smedby, ., Silva, C., Vrooman, H., Vyas, S., Wang, C., Zhao, L., Jan Biessels, G. & Viergever, M. (2015). MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans. Computational Intelligence and Neuroscience, 2015
- Wang, Y., Sokhadze, E., El-Baz, A., Li, X., Sears, L., Casanova, M. & Tasman, A. (2015). Relative Power of Specific EEG Bandsand Their Ratiosduring Neurofeedback Trainingin Children with Autism Spectrum Disorder. Frontiers in Human Neurosciences
- nguyen, M., tinney, J., ye, F., elnakib, A., yuan, F., El-Baz, A., S., Sethu, P., Keller, B. & Giridharan, G., A. (2015). Effects of physiologic mechanical stimulation on embryonic chick cardiomyocytes using a microfluidic cardiac cell culture model. Analytical Chemistry, 87(4), 2107-2113
- Casanova, M., Hensley, M., Sokhadze, E., El-Baz, A., S., Wang, Y., Li, X. & Sears, L. (2014). Effects of Weekly Low-Frequency rTMS on Autonomic Measures in Children with Autism Spectrum Disorder. Frontiers in Human Neuroscience, 8, 851
- Dey, N., Ikeda, N., Araki, T., Bose, S., Shafique, S., El-Baz, A., S., Godia, E., Saba, L. & Suri, J. (2014). Automated and Accurate Carotid Bulb Detection, Its Verification and Validation in Low Quality Frozen Frames and Motion Video. International Angiology, 33(6), 573-589
- Dombroski, B., Nitzken, M., Elnakib, A., Khalifa, F., El-Baz, A., S. & Casanova, M. (2014). Cortical Surface Complexity in a Population-Based Normative Sample. Translational Neuroscience, 5(1), 17-24
- E. Sokhadze, E., El-Baz, A., S., Tasman, A., Sears, L., Wang, Y., Lamina, E. & Casanova, M. (2014). Neuromodulation Integrating rTMS and Neurofeedback for the Treatment of Autism Spectrum Disorder. Applied Psychophysiology and Biofeedback, 39(3-4), 237-257
- Elnakib, A., Soliman, A., Nitzken, M., Casanova, M., Gimel'farb, G. & El-Baz, A., S. (2014). Magnetic Resonance Imaging Findings for Dyslexia: A Review. Journal of Biomedical Nanotechnology, 10, 2778-2805
- Khalifa, F., Beache, G., Gimel'farb, G. & El-Baz, A., S. (2014). Fully automated framework for the analysis of myocardial first-pass perfusion MR images. Medical Physics, 41(10), 1-32
- Khalifa, F., Soliman, A., Abou El-Ghar, M., Gimel'farb, G., Ouseph, R., Dwyer, A., El-Diasty, T. & El-Baz, A., S. (2014). Models and Methods for Analyzing DCE MRI: A Review. Medical Physics, 41(12), 124301/32
- McClure, P., Elnakib, A., Abou El-Ghar, M., Khalifa, F., Soliman, A., El-Diasty, T., Suri, J., Elmaghraby, A., S. & El-Baz, A., S. (2014). In-vitro and In-vivo Diagnostic Techniques for Prostate Cancer: A Review. Journal of Biomedical Nanotechnology, 10, 2747-2777
- McClure, P., Khalifa, F., Soliman, A., Abou El-Ghar, M., Gimelfarb, G., Elmaghraby, A., S. & El-Baz, A., S. (2014). A Novel NMF Guided Level-Set for DWI Prostate Segmentation. Journal of Computer Science & System Biology, 7(6), 209–216
- Nitzken, M., Casanova, M., Gimel'farb, G., Inanc, T., Zurada, J., M., El-Baz, A., S. & Gimel’farb, G. (2014). Shape Analysis of Human Brain: A Brief Survey. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 18(4), 1337-1354
- Sliman, H., Elnakib, A., Beache, G., Elmaghraby, A., S. & El-Baz, A., S. (2014). Assessment of Myocardial Function from Cine Cardiac MRI using A Novel 4D Tracking Approach. Journal of Computer Science & System Biology, 7(5), 169-173
- Sokhadze, E., El-Baz, A., S., Sears, L., Opris, L. & Casanova, M. (2014). rTMS neuromodulation improves electrocortical functional measures of information processing and behavioral responses in autism. Frontiers in Systems Neuroscience, 8, 134
- Wang, Y., Sokhadze, E., El-Baz, A., S., Sears, L., Tasman, A. & Casanova, M. (2014). Prefrontal Neurofeedback Training Approaches in Autism. NeuroRegulation, 1(3-4), 275-277
- Nguyen, M., D., Tinney, J., P., Yuan, F., Roussel, T., J., El-Baz, A., S., Giridharan, G., A., Keller, B., B. & Sethu, P. (2013). Cardiac cell culture model as a left ventricle mimic for cardiac tissue generation.. Analytical chemistry, 85(18), 8773-9
- Alansary, A., Soliman, A., Khalifa, F., Elnakib, A., Mostapha, M., Nitzken, M., Casanova, M. & El-Baz, A., S. (2013). MAP–Based Framework for Segmentation of MR Brain Images Based on Visual Appearance and Prior Shape. MIDAS Journal, 1, 1-13
- Bajaj, N., Nitzken, M., Aslan, S., Gimel'farb, G., El-Baz, A., S. & Ovechkin, A. (2013). Local Wavelet-Based Filtering of Electromyographic Signals to Eliminate the Electrocardiographic-Induced Artifacts in Patients with Spinal Cord Injury. journal of Biomedical Science and Engineering, 6, 1-13
- Casanova, M., El-Baz, A., S., Kamat, S., Dombroski, B., Khalifa, F., Elnakib, A., Soliman, A., Allison-McNutt, A. & Switala, A. (2013). Focal cortical Dysplasias in Autism Spectrum Disorders. Acta Neuropathologica Communications, 1(67), 1-11
- El-Baz, A., S., Beache, G., M., Gimel'farb, G., Suzuki, K. & Okada, K. (2013). Lung Imaging Data Analysis. International Journal of Biomedical Imaging, 2013, 1-2
- El-Baz, A., S., Beache, G., M., Gimel'farb,, G., Suzuki, K., Okada, K., Elnakib, A., Soliman, A. & Abdollahi, B. (2013). Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies. International Journal of Biomedical Imaging, 2013, 1-46
- El-Baz, A., S., Elnakib, A., Abou El-Ghar, M., Gimel'farb, G., Falk, R. & Farag, A. (2013). Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans. International Journal of Biomedical Imaging, 2013, 1-11
- Elmaghraby, A., S., El-Baz, A., S., Firjani, A., Elnakib, A., Khalifa, F., Gimel'farb, G., Abou El-Ghar, M. & Gimel’farb, G. (2013). A diffusion-weighted imaging based diagnostic system for early detection of prostate cancer. Journal of Biomedical Science and Engineering, 6, 346-356
- Firjani, A., Elnakib, A., Khalifa, F., Gimel'farb, G., Abou El- Ghar, M., Elmaghraby, A. & El-Baz, A., S. (2013). A Diffusion-Weighted Imaging Based Diagnostic System for Early Detection of Prostate Cancer. Journal of Biomedical Science and Engineering, 6(3), 346-356
- Hillard, B., El-Baz, A., S., Sears, L., Tasman, A. & Sokhadze, E. (2013). Neurofeedback Training Aimed to Improve Focused Attention and Alertness in Children With ADHD A Study of Relative Power of EEG Rhythms Using Custom-Made Software Application. Clinical Electroencephalography and Neuroscience, 44(3), 193-202
- Hillard, B., El-Baz, A., Sears, L., Tasman, A. & Sokhadze, E. (2013). Neurofeedback Training Aimed to Improve Focused Attention and Alertness in Children With ADHD: A Study of Relative Power of EEG Rhythms Using Custom-Made Software Application. CLINICAL EEG AND NEUROSCIENCE, 44(3), 193-202
- Khalifa, F., Abou El-Ghar, M., Abdollahi, B., Frieboes, H., B., El-Diasty, T. & El-Baz, A., S. (2013). A Comprehensive Non-Invasive Framework for Automated Evaluation of Acute Renal Transplant Rejection Using DCE-MRI. NMR in Biomedicine, 26(11), 1460-1470
- Khalifa, F., Beache, G., M., Abou El-Ghar, M., El-Diasty, T., Gimel'farb, G., Kong, M., El-Baz, A., S., Beache, G. & El-Baz, A. (2013). Dynamic Contrast-Enhanced MRI-Based Early Detection of Acute Renal Transplant Rejection. IEEE TRANSACTIONS ON MEDICAL IMAGING, 32(10), 1910-1927
- Nguyen, M., Tinney, J., B., Yuan, F., Roussel, T., El-Baz, A., S., Giridharan, G., A. & Sethu, P. (2013). Cardiac Cell Culture Model As a Left Ventricle Mimic for Cardiac Tissue Generation. Analytical chemistry, 85(18), 8773-8779
- Nguyen, M., Tinney, J., Yuan, F., Roussel, T., El-Baz, A., S., Giridharan, G., Keller, B. & Sethu, P. (2013). Cardiac Cell Culture Model As a Left Ventricle Mimic for Cardiac Tissue Generation. Analytical Chemistry, 85(18), 8773-8779
- Pareek, G., Acharya, U., Sree, S., Swapna, G., Yantri, R., Martis, R., Saba, L., Krishnamurthi, G., Mallarini, G., El-Baz, A., Al Ekish, S., . & Beland, M. (2013). Prostate Tissue Characterization/Classification in 144 Patient Population Using Wavelet and Higher Order Spectra Features from Transrectal Ultrasound Images. TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 12(6), 545-557
- Pareek, G., Acharya, U., Sree, S., Swapna, G., Yantri, R., Martis, R., Saba, L., Krishnamurthi, G., Mallarini, G., El-Baz, A., S., Al Ekish, S., Beland, M. & Suri, J. (2013). Prostate Tissue Characterization/Classification in 144 Patient Population Using Wavelet and Higher Order Spectra features from Transrectal Ultrasound Images. Technology in Cancer Research & Treatment, 12(6), 545-557
- Rudra, A., Chowdhury, A., Elnakib, A., Khalifa, F., Soliman, A., Beache, G. & El-Baz, A. (2013). Kidney segmentation using graph cuts and pixel connectivity. PATTERN RECOGNITION LETTERS, 34(13), 1470-1475
- Rudra, A., Chowdhury, A., Elnakib, A., Khalifa, F., Soliman, A., Beache, G., M. & El-Baz, A., S. (2013). Kidney Segmentation using Graph Cuts and Pixel Connectivity. Pattern Recognition Letters, 34(13), 1470–1475
- Sliman, H., Khalifa, F., Elnakib, A., Soliman, A., Beache, G., Elmaghraby, A., Gimel'farb, G. & El-Baz, A., S. (2013). Myocardial Borders Segmentation from Cine MR Images using Bi-Directional Coupled Parametric Deformable Models. Medical Physics, 40(9), 1-13
- Sliman, H., Khalifa, F., Elnakib, A., Soliman, A., El-Baz, A., Beache, G., Elmaghraby, A. & Gimel'farb, G. (2013). Myocardial borders segmentation from cine MR images using bidirectional coupled parametric deformable models. MEDICAL PHYSICS, 40(9)
- Sokhadze, E., Hillard, B., El-Baz, A., S., Tasman, A. & Sears, L. (2013). Electroencephalographic biofeedback improves focused attention in attention deficit/hyperactivity disorder. Bulletin of Siberian Medicine
- Casanova, M., F., Baruth, J., M., El-Baz, A., Tasman, A., Sears, L. & Sokhadze, E. (2012). Repetitive Transcranial Magnetic Stimulation (RtMs) Modulates Event-Related Potential (ERP) Indices of Attention in Autism. Translational Neuroscience, 3(2), 170-180
- Clemans, Z., A., El-Baz, A., S., Hollifield, M. & Sokhadze, E., M. (2012). Single Trial Time-frequency Domain Analysis of Error Processing in Post-traumatic Stress Disorder. Neuroscience Letters, 525(2), 105-110
- Clemans, Z., El-Baz, A., S. & Sokhadze, T. (2012). A Novel Method of Analyzing Error Processing in PTSD. NeuroConnections, 13-14
- El-Baz, A., Elnakib, A., Khalifa, F., Abou El-Ghar, M., McCclure, P., Soliman, A. & Gimel'farb, G. (2012). Precise Segmentation of 3-D magnetic Resonance Angiography. IEEE Transactions on Biomedical Engineering, 59(7), 2019-2029
- Elnakib, A., Beache, G., M., Gimel'farb, G. & El-Baz, A. (2012). New Automated Markov-Gibbs Random Field Based Framework for Myocardial Wall Viability Quantification on Agent Enhanced Cardiac Magnetic Resonance Images. International Journal of Cardiovascular Imaging, 28(7), 1683-1698
- Elnakib, A., Casanova, M., F., Gimelrfarb, G., Switala, A., E. & El-Baz, A. (2012). Dyslexia Diagnostics by 3-D Shape Analysis of the Corpus Callosum. IEEE Transactions on Information Technology in Biomedicine, 16(4), 700-708
- Gross, E., El-Baz, A., S., Sokhadze, G., E., Sears, L., Casanova, M., F. & Sokhadze, E., M. (2012). Induced EEG Gamma Oscillation Alignment Improves Differentiation Between Autism and ADHD Group Responses in a Facial Categorization Task. Journal of Neurotherapy, 16(2), 78-91
- Khalifa, F., Beache, G., M., Gimelrfarb, G., Giridharan, G., A. & El-Baz, A. (2012). Accurate automatic analysis of cardiac cine images. IEEE Transactions on Biomedical Engineering, 59(2), 445-455
- Sokhadze, E., M., Baruth, J., M., Sears, L., Sokhadze, G., E., El-Baz, A., S. & Casanova, M., F. (2012). Prefrontal Neuromodulation using rTMS Improves Error Monitoring and Correction Function in Autism. Applied Psychophysiology and Biofeedback, 37(2), 91-102
- Sokhadze, E., M., Baruth, J., M., Sears, L., Sokhadze, G., E., El-Baz, A., S., Williams, E., Klapheke, R. & Casanova, M., F. (2012). Event-related Potential Study of Attention Regulation During Illusory Figure Categorization Task in ADHD, Autism Spectrum Disorder, and Typical Children. Journal of Neurotherapy, 16(1), 12-31
- Williams, E., L., El-Baz, A., Nitzken, M., Switala, A., E. & Casanova, M., F. (2012). Spherical Harmonic Analysis of Cortical Complexity in Autism and Dyslexia. Translational Neuroscience, 3(1), 36-40
- Abdeltawab, H., A., Khalifa, F., A., Ghazal, M., A., Cheng, L., El-Baz, A., S. & Gondim, D., D. (2022). A deep learning framework for automated classification of histopathological kidney whole-slide images. Journal of Pathology Informatics, 13, 100093
- Abdeltawab, H., Khalifa, F., ElNakieb, Y., Elnakib, A., Taher, F., Alghamdi, N., S., Sandhu, H., S. & El-Baz, A. (2022). Predicting the Level of Respiratory Support in COVID-19 Patients Using Machine Learning. Bioengineering, 9(10), 536
- Abu, H., Y., Ghazal, M., El-Baz, A. & Talaat, I., M. (2022). Development and Evaluation of a Novel Deep-Learning-Based Framework for the Classification of Renal Histopathology Images. Bioengineering, 9(9), 423
- Alghamdi, N., S., Taher, F., Kandil, H., Sharafeldeen, A., Elnakib, A., Soliman, A., ElNakieb, Y., Mahmoud, A., Ghazal, M. & El-Baz, A. (2022). Segmentation of Infant Brain Using Nonnegative Matrix Factorization. Applied Sciences, 12(11), 5377
- Alhalabi, M., Ghazal, M., Haneefa, F., Yousaf, J. & El-Baz, A. (2021). Smartphone Handwritten Circuits Solver Using Augmented Reality and Capsule Deep Networks for Engineering Education. Education Sciences, 11(11), 661
- Alksas, A., Shehata, M., Atef, H., Sherif, F., Alghamdi, N., S., Ghazal, M., Abdel, F., S., El-Serougy, L., G. & El-Baz, A. (2022). A Novel System for Precise Grading of Glioma. Bioengineering, 9(10), 532
- Batouty, N., M., Saleh, G., A., Sharafeldeen, A., Kandil, H., Mahmoud, A., Shalaby, A., Yaghi, M., Khelifi, A., Ghazal, M. & El-Baz, A. (2022). State of the Art: Lung Cancer Staging Using Updated Imaging Modalities. Bioengineering, 9(10), 493
- El-Baz, A., Giridharan, G., A., Shalaby, A., Mahmoud, A., H. & Ghazal, M. (2022). Special Issue Computer Aided Diagnosis Sensors. Sensors, 22(20), 8052
- El-Melegy, M., Kamel, R., Abou, E., M., Alghamdi, N., S. & El-Baz, A. (2022). Level-Set-Based Kidney Segmentation from DCE-MRI Using Fuzzy Clustering with Population-Based and Subject-Specific Shape Statistics. Bioengineering, 9(11), 654
- El-Melegy, M., Kamel, R., El-Ghar, M., A., Shehata, M., Khalifa, F. & El-Baz, A. (2022). Kidney segmentation from DCE-MRI converging level set methods, fuzzy clustering and Markov random field modeling. Scientific Reports, 12(1), 18816
- ElNakieb, Y., Ali, M., T., Elnakib, A., Shalaby, A., Soliman, A., Mahmoud, A., Ghazal, M., Barnes, G., N. & El-Baz, A. (2021). The Role of Diffusion Tensor MR Imaging (DTI) of the Brain in Diagnosing Autism Spectrum Disorder: Promising Results. Sensors, 21(24), 8171
- Elgafi, M., Sharafeldeen, A., Elnakib, A., Elgarayhi, A., Alghamdi, N., S., Sallah, M. & El-Baz, A. (2022). Detection of Diabetic Retinopathy Using Extracted 3D Features from OCT Images. Sensors, 22(20), 7833
- Elgendy, M., Balaha, H., M., Shehata, M., Alksas, A., Ghoneim, M., Sherif, F., Mahmoud, A., Elgarayhi, A., Taher, F., Sallah, M. & others, . (2022). Role of Imaging and AI in the Evaluation of COVID-19 Infection: A Comprehensive Survey. Frontiers in bioscience (Landmark edition), 27(9), 276
- Elsharkawy, M., Elrazzaz, M., Sharafeldeen, A., Alhalabi, M., Khalifa, F., Soliman, A., Elnakib, A., Mahmoud, A., Ghazal, M., El-Daydamony, E. & others, . (2022). The role of different retinal imaging modalities in predicting progression of diabetic retinopathy: A survey. Sensors, 22(9), 3490
- Fahmy, D., Alksas, A., Elnakib, A., Mahmoud, A., Kandil, H., Khalil, A., Ghazal, M., Bogaert, E., Contractor, S. & El-Baz, A. (2022). The Role of Radiomics and AI Technologies in the Segmentation, Detection, and Management of Hepatocellular Carcinoma. Cancers, 14(24), 6123
- Fahmy, D., Kandil, H., Khelifi, A., Yaghi, M., Ghazal, M., Sharafeldeen, A., Mahmoud, A. & El-Baz, A. (2022). How ai can help in the diagnostic dilemma of pulmonary nodules. Cancers, 14(7), 1840
- Haggag, S., Elnakib, A., Sharafeldeen, A., Elsharkawy, M., Khalifa, F., Farag, R., K., Mohamed, M., A., Sandhu, H., S., Mansoor, W., Sewelam, A. & others, . (2022). A Computer-Aided Diagnostic System for Diabetic Retinopathy Based on Local and Global Extracted Features. Applied Sciences, 12(16), 8326
- Hammouda, K., Khalifa, F., Alghamdi, N., S., Darwish, H. & El-Baz, A. (2022). Multi-Stage Classification-Based Deep Learning for Gleason System Grading Using Histopathological Images. Cancers, 14(23), 5897
- Hassan, T., Shafay, M., Hassan, B., Akram, M., U., ElBaz, A. & Werghi, N. (2022). Knowledge distillation driven instance segmentation for grading prostate cancer. Computers in Biology and Medicine, 150, 106124
- Jagadapillai, R., Qiu, X., Ojha, K., Li, Z., El-Baz, A., Zou, S., Gozal, E. & Barnes, G., N. (2022). Potential cross talk between autism risk genes and neurovascular molecules: A pilot study on impact of blood brain barrier integrity. Cells, 11(14), 2211
- Kandil, H., Soliman, A., Elsaid, N., Saied, A., Alghamdi, N., S., Mahmoud, A., Taher, F. & El-Baz, A. (2022). Studying the role of cerebrovascular changes in different compartments in human brains in hypertension prediction. Applied Sciences, 12(9), 4291
- Miller, J., M., Meki, M., H., Elnakib, A., Ou, Q., Abouleisa, R., R., Tang, X., Salama, A., Gebreil, A., Lin, C., Abdeltawab, H. & others, . (2022). Biomimetic cardiac tissue culture model (CTCM) to emulate cardiac physiology and pathophysiology ex vivo. Communications Biology, 5(1), 934
- Naglah, A., Khalifa, F., El-Baz, A. & Gondim, D. (2022). Conditional GANs based system for fibrosis detection and quantification in Hematoxylin and Eosin whole slide images. Medical Image Analysis, 81, 102537
- Saleh, G., A., Batouty, N., M., Haggag, S., Elnakib, A., Khalifa, F., Taher, F., Mohamed, M., A., Farag, R., Sandhu, H., Sewelam, A. & others, . (2022). The Role of Medical Image Modalities and AI in the Early Detection, Diagnosis and Grading of Retinal Diseases: A Survey. Bioengineering, 9(8), 366
- Shalata, A., T., Shehata, M., Van, B., E., Ali, K., M., Alksas, A., Mahmoud, A., El-Gendy, E., M., Mohamed, M., A., Giridharan, G., A., Contractor, S. & others, . (2022). Predicting Recurrence of Non-Muscle-Invasive Bladder Cancer: Current Techniques and Future Trends. Cancers, 14(20), 5019
- Suri, J., S., Agarwal, S., Jena, B., Saxena, S., El-Baz, A., Agarwal, V., Kalra, M., K., Saba, L., Viskovic, K., Fatemi, M. & others, . (2022). Five strategies for bias estimation in artificial intelligence-based hybrid deep learning for acute respiratory distress syndrome COVID-19 lung infected patients using AP (ai) Bias 2.0: a systematic review. IEEE Transactions on Instrumentation and Measurement
- Taher, F., Eysa, A., Fahmy, D., Shalaby, A., Mahmoud, A., El-Melegy, M., Abdel, R. & El-Baz, A. (2022). COVID-19 and myocarditis: a brief review. Frontiers in Bioscience, 27(2)
- Abdel Razek, A., A., Alksas, A., Shehata, M., AbdelKhalek, A., Abdel Baky, K., El-Baz, A., S. & Helmy, E. (2021). Clinical applications of artificial intelligence and radiomics in neuro oncology imaging. Insights Imaging, 12(152), 1-17
- Abdel Razek, A., Khaled, R., Helmy, E., Naglah, A., Abdelkhalek, A. & El-Baz, A., S. (2021). Artificial Intelligence and Deep Learning of Head and Neck Cancer. Magnetic Resonance Imaging Clinics, 30(1), 81-94
- Abdelmaksoud, I., Shalaby, A., Mahmoud, A., Elmogy, M., Aboelfetouh, A., El-Ghar, M., El-Melegy, M., Alghamdi, N. & El-Baz, A., S. (2021). Precise Identification of Prostate Cancer from DWI Using Transfer Learning. Sensors, 21(11), 3664
- Abdeltawab, H., Khalifa, F., Ghazal, M., Cheng, L., Gondim, D. & El-Baz, A., S. (2021). A Pyramidal Deep Learning Pipeline for Kidney Whole-Slide Histology Images Classification. Scientific Reports, 11(1), 1-9
- Abdeltawab, H., Khalifa, F., Hammouda, K., Miller, J., Meki, M., Ou, Q., El-Baz, A., S. & Mohamed, T. (2021). Artificial Intelligence Based Framework to Quantify the Cardiomyocyte Structural Integrity in Heart Slices. Cardiovascular Engineering and Technology, 1 -11
- Abouleisa, R., Salama, A., Ou, Q., Tang, X., Solanki, M., Guo, Y., Nong, Y., Mcnally, L., Lorkiewicz, P., Kassem, K., Ahern, B., Choudhary, K., Thomas, R., Huang, Y., Siddique, A., Ifthikar, Z., Hammad, S., El-Baz, A., S., Ivey, K., Conklin, D., Satin, J., Hill, B., Srivastava, D., Huhardeen, H. & Mohamed, T. (2022). Transient Cell Cycle Induction in Cardiomyocytes to Treat Subacute Ischemic Heart Failure. Circulation
- Agarwal, M., Saba, L., Gupta, S., K., Carriero, A., Falaschi, Z., Paschè, A., Danna, P., El-Baz, A., S., Naidu, S. & Suri, J., S. (2021). A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort. Journal of Medical Systems volume
- Al Tarabsheh, A., Yaghi, M., Younis, A., Sarker, R., Moussa, S., Eldigair, Y., Hajjdiab, H., El-Baz, A., S. & Ghazal, M. (2021). Towards Contactless Learning Activities during Pandemics using Autonomous Service Robots. Applied Sciences, 11(21), 10449
- Ali, M., Elnakieb, Y., Elnakib, A., Shalaby, A., Mahmoud, A., Ghazal, M., Yousaf, J., Abu Khalifeh, H., Casanove, M., Barnes, G. & El-Baz, A., S. (2022). The Role of Structure MRI in Diagnosing Autism. Diagnostics, 12(1), 165
- Alksas, A., Shehata, M., Saleh, G., Shaffie, A., Soliman, A., Ghazal, M., Khelifi, A., Abu Khalifeh, H., Abdel Razek, A., Giridharan, G. & El-Baz, A., S. (2021). A Novel Computer-Aided Diagnostic System for Accurate Detection and Grading of Liver Tumors. Scientific Reports: Nature, 11, 13148
- Ayyad, S., Badawy, M., Shehata, M., Alksas, A., Mahmoud, A., Abou El-Ghar, M., Ghazal, M., El-Melegy, M., Abdel-Hamid, N., Labib, L., Ali, H. & El-Baz, A., S. (2022). A New Framework for Precise Identification of Prostatic Adenocarcinoma. Sensors , 22(5), 1848
- Ayyad, S., Shehata, M., Shalaby, A., Abou El-Ghar, M., Ghazal, M., El-Melegy, M., Abdel-Hamid, N., Labib, L., Ali, H. & El-Baz, A., S. (2021). Role of AI and Histopathological Images in Detecting Prostate Cancer: A Survey. Sensors , 21(8), 2586
- Casanova, M., Shaban, M., Ghazal, M., El-Baz, A., S., Casanova, E. & Sokhadze, E. (2020). Effects of Transcranial Magnetic Stimulation Therapy on Evoked and Induced Gamma Oscillations in Children with Autism Spectrum Disorder. Brain Sciences, 10(7)
- Casanova, M., Shaban, M., Ghazal, M., El-Baz, A., S., Casanova, E., Opris, I. & Sokhadze, E. (2020). Ringing Decay of Gamma Oscillations and Transcranial Magnetic Stimulation Therapy in Autism Spectrum Disorder. Applied Psychophysiology and Biofeedback, Springer
- El-Gamal, F., Elmogy, M., Ghazal, M., Yousaf, J., Qiu, X., Soliman, H., Atwan, A., Frieboes, H., Barnes, G. & El-Baz, A., S. (2020). Personalized Computer-Aided Diagnosisfor Mild Cognitive Impairment inAlzheimer’s Disease Based on sMRI and11C PiB-PET Analysis. IEEE Access, 8, 218982-218996
- El-Gamal, F., Elmogy, M., Mahmoud, A., Shalaby, A., Switala, A., Ghazal, M., Soliman, H., Atwan, A., Alghamdi, N., Barnes, G. & El-Baz, A., S. (2021). A Personalized Computer Aided Diagnosis System for Mild Cognitive Impairment (MCI) Using Structural MRI (sMRI). Sensors, 21(16), 5416
- El-Melegy, M., Kamel, R., El-Ghar, A., Alghamdi, N., S., El-Baz, A. & others, . (2022). Variational Approach for Joint Kidney Segmentation and Registration from DCE-MRI Using Fuzzy Clustering with Shape Priors. Biomedicines, 11(1), 6
- ElNakieb, Y., Ali, M., T., Elnakib, A., Shalaby, A., Mahmoud, A., Soliman, A., Barnes, G., N. & El-Baz, A. (2023). Understanding the Role of Connectivity Dynamics of Resting-State Functional MRI in the Diagnosis of Autism Spectrum Disorder: A Comprehensive Study. Bioengineering, 10(1), 56
- Elnakieb, Y., Ali, M., Soliman, A., Mahmoud, A., Shelby, A., Alghamdi, N., Ghazal, M., Khalil, A., Switala, A., Keynton, R., Barnes, G. & El-Baz, A., S. (2020). Computer Aided Autism Diagnosis Using Diffusion Tensor Imaging. IEEE Access, 8, 191298-191308
- Elsaid, N., Saied, A., Kandil, H., Soliman, A., Taher, F., Hadi, M., Giridharan, G., Jennings, R., Casanova, M., Keynton, R. & El-Baz, A., S. (2021). Impact of Stress and Hypertension on the Cerebrovasculature. Frontiers in Bioscience-Landmark, 26(12), 1643
- Elsharkawy, M., Elrazzaz, M., Ghazal, M., Alhalabi, M., Soliman, A., Mahmoud, A., El-Daydamony, E., Atwan, A., Thanos, A., Sandhu, H., S., Giridharan, G. & El-Baz, A., S. (2021). Role of Optical Coherence Tomography Imaging in Predicting Progression of Age-Related Macular Disease: A Survey. Diagnostics, 11(12), 2313
- Elsharkawy, M., Sharafeldeen, A., Soliman, A., Khalifa, F., El-Daydamony, E., Atwan, A., Sandhu, H., S. & El-Baz, A., S. (2022). A Novel Computer-Aided Diagnostic System for Early Detection of Diabetic Retinopathy Using 3D-OCT Higher-Order Spatial Appearance Model. Diagnostics , 12(2), 461
- Elsharkawy, M., Sharafeldeen, A., Taher, F., Shalaby, A., Soliman, A., Mahmoud, A., Ghazal, M., Khalil, A., Alghamdi, N., Abdel Razek, A., Alnaghy, E., El-Melegy, M., Sandhu, H., Giridharan, G. & El-Baz, A., S. (2021). Early Assessment of Lung Function in Coronavirus Patients Using Invariant Markers from Chest X-Rays Images. Scientific Reports: Nature, 11(1), 1-11
- Farahat, I., S., Sharafeldeen, A., Elsharkawy, M., Soliman, A., Mahmoud, A., Ghazal, M., Taher, F., Bilal, M., Abdel Razek, A., A., Aladrousy, W., Elmougy, S., Tolba, A., El-Melegy, M. & El-Baz, A., S. (2022). The Role of 3D CT Imaging in the Accurate Diagnosis of Lung Function in Coronavirus Patients. Diagnostics , 12( 3), 696
- Ghazal, M., Basmaji, T., Yaghi, M., Alkhedher, M., Mahmoud, M. & El-Baz, A., S. (2020). Cloud-Based Monitoring of Thermal Anomalies in Industrial Environments Using AI and the Internet of Robotic Things. Sensors
- Ghazal, M., Yaghi, M., Gad, A., El Bary, G., Alhalabi, M., Alkhedher, M. & El-Baz, A., S. (2021). AI-powered Service Robotics for Independent Shopping Experiences by Elderly and Disabled People. Applied Sciences, 11(19), 9007
- Hagag, S., Khalifa, F., Abdeltawab, H., Elnakib, A., Ghazal, M., Mohamed, M., Sandhu, H., Alghamdi, N. & El-Baz, A., S. (2021). An Automated CAD System for Accurate Grading of Uveitis Using Optical Coherence Tomography Images. Sensors, 21(16), 5457
- Hammouda, K., Khalifa, F., Abdeltawab, H., Elnakib, A., Giridharan, G., A., Zhu, M., NG, C., K., Dassanayaka, S., Kong, M., Darwish, H., E., Mohamed, T., M., Jones, S., P. & El-Baz, A., S. (2020). A New Framework for Performing Cardiac Strain Analysis from Cine MRI Imaging in Mice. Scientific Report
- Hammouda, K., Khalifa, F., El-Melegy, M., Ghazal, M., Darwish, H., Abou El-Ghar, M. & El-Baz, A., S. (2021). A Deep Learning Pipeline for Grade Groups Classification using Digitized Prostate Biopsy Specimens. Sensors, 21(20), 6708
- Hammouda, K., Khalifa, F., Soliman, A., Ghazal, M., Abou El-Ghar, M., Badawy, M., Darwish, H., Khelifi, A. & El-Baz, A., S. (2021). A Multiparametric MRI-based CAD System for Accurate Diagnosis of Bladder Cancer Staging. Journal Computerized Medical Imaging and Graphics (CMIG), 90, 101911
- Haweel, R., Seada, N., Ghoniemy, S., Alghamdi, N. & El-Baz, A., S. (2021). A CNN Deep Local and Global ASD Classification Approach with Continuous Wavelet Transform Using Task-Based FMRI. Sensors, 21(17), 5822
- Haweel, R., Shalaby, A., Mahmoud, A., Ghazal, M., Seada, N., Ghoniemy, S., Casanova, M., Barnes, G. & El-Baz, A., S. (2021). A Novel Grading System for Autism Severity Level Using Task-based Functional MRI: A Response to Speech Study. IEEE ACCESS
- Haweel, R., Shalaby, A., Mahmoud, A., Seada, N., Ghoniemy, S., Ghazal, M., Casanova, M., Barnes, G., N. & El-Baz, A., S. (2020). A Robust DWT‐CNN Based CAD System for Early Diagnosis of Autism Using Task‐based fMRI. Medical Physics
- Hoey, R., F., Medina-Aguiñaga, D., Khalifa, F., Ugiliweneza, B., Zdunowski, S., Fell, J., Naglah, A., El-Baz, A., S., Herrity, A., N., Harkema, S., J. & Hubscher, C., H. (2022). Thoracolumbar Epidural Stimulation Effects on Bladder and Bowel Function in Uninjured and Chronic Transected Anesthetized Rats. Scientific Reports, 11(1), 1-21
- Liang, L., Qin, K., El-Baz, A., S., Roussel, T., Sethu, P., Giridharan, G. & Wang, Y. (2021). A Flow Sensor-based Suction-Index Control Strategy for Rotary Left Ventricular Assist Devices. Sensors, 21(20), 6890
- Meki, M., El-Baz, A., S., Sethu, P. & Giridharan, G. (2022). Effects of Pulsatility on Arterial Endothelial and Smooth Muscle cells. Cells Tissues Organ
- Naglah, A., Khalifa, F., Khaled, R., Abdel Razek, A., Ghazal, M., Giridharan, G. & El-Baz, A., S. (2021). Novel MRI-Based CAD System for Early Detection of Thyroid Cancer Using Multi-Input CNN. sensors, 21(11), 3878
- Saba, L., Agarwal, M., Patrick, A., Puvvula, A., Gupta, S., K., Carriero, A., Laird, J., R., Kitas, G., D., Johri, A., M., Balestrieri, A., Falaschi, Z., Pasche, A., Viswanathan, V., El-Baz, A., S., Alam, I., Jain, A., Naidu, S., Oberleitner, R., Khanna, N., N., Bit, A., Fatemi, M., Alizard, A. & Suri, J. (2021). Six Artificial Intelligence Paradigms for Tissue Characterization and Classification of Non-COVID-19 Pneumonia against COVID-19 Pneumonia in Computed Tomography Lungs. International Journal of Computer-Assisted Radiology and Surgery, P.P: 1-12
- Shaban, M., Ogur, Z., Mahmoud, A., Switala, A., Shelby, A., Abu Khalifeh, H., Ghazal, M., Fraiwan, L., Giridharan, G., Sandhu, H. & El-Baz, A., S. (2020). A Convolutional Neural Network for the Screening and Staging of Diabetic Retinopathy. PLOS ONE
- Shaban, M., Salim, R., Abu Khalifeh, H., Khelifi, A., Shalaby, A., El-Mashad, S., Mahmoud, A., Ghazal, M. & El-Baz, A., S. (2021). A Deep-Learning Framework for the Detection of Oil Spills from SAR Data. Sensors, 21(7)
- Shaffie, A., Soliman, A., Eledkawy, A., Fu, X., Nantz, M., Giridharan, G., van Berkel, V. & El-Baz, A., S. (2022). <span style="color:#222222;font-size:13px;font-style:normal;font-weight:400;text-align:left;background-color:#ffffff;">Lung cancer diagnosis system based on volatile organic compounds (VOCs) profile measured in exhaled breath</span>. Applied Sciences, 12(14)
- Shaffie, A., Soliman, A., Eledkawy, A., van Berkel, V. & El-Baz, A., S. (2022). Computer-Assisted Image Processing System for Early Assessment of Lung Nodule Malignancy. Cancers , 14(5), 1117
- Sharafeldeen, A., Elsharkawy, M., Alghamdi, N., Soliman, A. & El-Baz, A., S. (2021). Precise Segmentation of COVID-19 Infected Lung from CT Images Based on Adaptive First Order Appearance Model with Morphological/Anatomical Constraints. Sensors, 21(16), 5482
- Sharafeldeen, A., Elsharkawy, M., Khaled, R., Shaffie, A., Khalifa, F., Soliman, A., Abdel Razek, A., A., Hussein, M., Taman, S., Naglah, A., Alrahmawy, M., Elmougy, S., Yousaf, J., Ghazal, M. & El-Baz, A., S. (2022). Texture and Shape Analysis of Diffusion-Weighted Imaging for Thyroid Nodules Classification using Machine Learning. Medical Physics, 49(2), 988-999
- Shehata, M., Alksas, A., Abouelkheir, R., Almahdy, A., Shaffie, A., Soliman, A., Ghazal, M., Abu Khalifeh, H., Salim, R., Abdel Razek, A., Alghamdi, N. & El-Baz, A., S. (2021). A Comprehensive Computer-Assisted Diagnosis System for Early Assessment of Renal Cancer Tumors. Sensors, 21(14), 4928
- Sleman, A., Soliman, A., Elsharkawy, M., Ghazal, M., Sandhu, H., Schaal, S., Keynton, R., Elmaghraby, A., Giridharan, G. & El-Baz, A., S. (2021). A Novel 3D Segmentation Approach for Extracting Retinal Layers from Optical Coherence Tomography Images. Medical Physics, 48(4), 1584-1595
- Suri, J., Agarwal, S., Gupta, S., Puvvula, A., Viskovic, K., Suri, N., Alizard, A., El-Baz, A., S., Saba, L., Fatemi, M. & Naidu, S. (2021). Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective. IEEE Journal of Biomedical and Health Informatics, 25(11), 4128 - 4139
- Taher, F., Eysa, A., Fahmy, D., Shalaby, A., Mahmoud, A., El-Melegy, M., Abdel Razek, A. & El-Baz, A., S.COVID-19 and Myocarditis: A Brief Review. Frontiers in Bioscience-Landmark, 27(2), 73
- Taher, F., Kandil, H., Mahmoud, H., Mahmoud, A., Shalaby, A., Ghazal, M., Alhalabi, M., Sandhu, H. & El-Baz, A., S. (2021). A Novel MRA-Based Framework for Segmenting the Cerebrovascular System and Correlating Cerebral Vascular Changes to Mean Arterial Pressure. Applied Sciences, 11(9), 4158
- Taher, F., Prakash, N., Shaffie, A., Soliman, A. & El-Baz, A., S. (2021). An Overview of Lung Cancer Classification Algorithms and their Performances. IAENG International Journal of Computer Science, 48(4), 1021-1027
- Taher, F., Soliman, A., Kandiel, H., Mahmoud, A., Shalaby, A., Gimel’farb, G. & El-Baz, A., S. (2020). Accurate Segmentation of Cerebrovasculature from tof-mra images using appearance descriptors,. IEEE Access Journal
- Yasser, I., Khalifa, F., Abdeltawab, H., Ghazal, M., Sandhu, H., S. & El-Baz, A., S. (2022). Automated Diagnosis of Optical Coherence Tomography Angiography (OCTA) Based on Machine Learning Techniques. Sensors , 22(6), 2342
Books
- El-Baz, A., S. & Suri, J. (2019). Neurological Disorders and Imaging Physics, Volume 3: Application to Autism Spectrum Disorders and Alzheimer’s. : IOP Publishing
- El-Baz, A., S. & Suri, J. (2018). Cardiovascular Imaging and Image Analysis.
- El-Baz, A., S., Pareek, G. & Suri, J. (2018). Prostate Cancer Imaging: An Engineering and Clinical Perspective. : Taylor & Francis
- Casanova, M., El-Baz, A., S. & Suri, J. (2017). Autism Imaging and Devices.
- El-Baz, A., Jiang, X. & Suri, J. (2017). Biomedical Image Segmentation Advances and Trends. (p.1-600). : Taylor & Francis
- El-Baz, A., Gimel'farb, G. & Suri, J. (2016). Stochastic Modeling for Medical Image Analysis. : Taylor & Francis
- Khanal, A., Ullum, C., Kimbrough, C., Garbett, N., Burlison, J., McNally, M., Chuong, P., El-Baz, A., Jasinski, J. & McNally, L. (2015). Tumor Targeted Mesoporous Silica-Coated Gold Nanorods Facilitate Detection of Pancreatic Tumors Using Multispectral Optoacoustic Tomography. (p.3864-3877). : Springer
- El-Baz, A., S., Saba, L. & Suri, J., S. (2014). Abdomen and Thoracic Imaging - An Engineering & Clinical Perspective. New York: Springer-Verlag
- Casanova, M., F., El-Baz, A., S. & Suri, J., S. (2013). Imaging the Brain in Autism. (p.448). New York: Springer-Verlag
- El-Baz, A., S., Acharya, R., Laine, A. & Suri, J. (2011). Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies: Volume 2. New York: Springer-Verlag
- El-Baz, A., S., Acharya, R., Mirmedhdi, M. & Suri, J. (2011). Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies: Volume 1. New York: Springer-Verlag
- El-Baz, A., S. (2011). Lung Imaging and Computer Aided Diagnosis. (p.496). : Taylor & Francis
- El-Baz, A., S. & Suri, J. (2020). Computer-Assisted Diagnosis: Diabetes and Fundus OCT. : Elsevier
- El-Baz, A., S. & Suri, J. (2020). Computer-Assisted Diagnosis: Diabetes and Retinopathy. : Elsevier
- El-Baz, A., S. & Suri, J. (2020). Neurological Disorders and Imaging Physics, Volume 5: Application to Dyslexia, Epilepsy and Parkinson’s.
- El-Baz, A., S. & Suri, J. (2021). Cardiovascular and Coronary Artery Imaging, Volume 1. : Elsevier
- El-Baz, A., S. & Suri, J. (2021). Computer-Assisted Diagnosis: Diabetes and Cardiovascular Disease. : Elsevier
- El-Baz, A., S. & Suri, J. (2021). Detection Systems in Lung Cancer and Imaging, Volume 2. : IOP Publisher
- El-Baz, A., S. & Suri, J. (2021). Machine Learning in Medicine. : Chapman and Hall/CRC
- El-Baz, A., S. & Suri, J. (2021). Neural Engineering Techniques for Autism Spectrum Disorder, Volume 1: Imaging and Signal Analysis. : Elsevier
- El-Baz, A., S. & Suri, J. (2021). Photo Acoustic and Optical Coherence Tomography Imaging Volume 1: Diabetic Retinopathy. : IOP Publisher
- El-Baz, A., S. & Suri, J. (2021). Photo Acoustic and Optical Coherence Tomography Imaging Volume 3: Angiography: An Application in Vessel Imaging. : IOP Publisher
- El-Baz, A., S. & Suri, J. (2021). State of the Art in Neural Networks and Their Applications, Volume 1. : Elsevier
- El-Baz, A., S. & Suri, J. (2022). Artificial Intelligence Strategies for Analyzing COVID-19 Pneumonia Lung Imaging, Volume 1: Characterization Approaches. : IOP Publishing
- El-Baz, A., S. & Suri, J. (2022). Artificial Intelligence in Cancer Diagnosis and Prognosis, Volume 1: Lung and kidney cancer. : IOP Publishing
- El-Baz, A., S. & Suri, J. (2022). Artificial Intelligence in Cancer Diagnosis and Prognosis, Volume 2 Breast and Bladder Cancer. : IOP Publishing
- El-Baz, A., S. & Suri, J. (2022). Artificial Intelligence in Cancer Diagnosis and Prognosis, Volume 3. : IOP Publishing
- El-Baz, A., S. & Suri, J. (2022). Cardiovascular and Coronary Artery Imaging, Volume 2. : Elsevier
- El-Baz, A., S. & Suri, J. (2022). Detection Systems in Lung Cancer and Imaging, Volume 1. : IOP Publishing
- El-Baz, A., S. & Suri, J. (2022). Neural Engineering Techniques for Autism Spectrum Disorder, Volume 2. : Elsevier
- El-Baz, A., S. & Suri, J. (2022). State of the Art in Neural Networks and Their Applications, Volume 2. : Elsevier
- El-Baz, A., S., Ghazal, M. & Suri, J. (2021). Texture Analysis in Image Processing, vol. 1, 2020. : New York: Chapman and Hall/CRC
- El-Baz, A., S., Ghazal, M. & Suri, J. (2021). Texture Analysis in Image Processing, vol. 2, 2020. : New York: Chapman and Hall/CRC
- El-Baz, A., S., Saba, L. & Suri, J. (2020). Neurological Disorders and Imaging Physics, Volume 4: Application to Attention Deficit Hyperactivity Disorder. : Taylor & Francis
More about Ayman El-Baz
- Ahmed Soliman received the Graduate Dean's Citation, 2016, University of Louisville
- Marwa Ismail received the Graduate Dean's Citation, 2016, University of Louisville
- Ahmed Soliman, the first place award in the Doctoral Engineering, 2016, Research Louisville!
- "Top 4" Faculty Favorite 2015-2016, 2016, University of Louisville
- Page Morton Hunter Distinguished Seminar award, 2016, Clemson University
- Research Louisville, 2015, University of Louisville
- f IEEE Signal Processing Society (SPS) Travel Award, 2015, f IEEE Signal Processing Society (SPS)
- Researchers recognized for work that can lead to commercialization, September 2015, 2015, University of Louisville
- Matthew Nitzken received the Graduate Dean's Citation award in recognition of his excellent achievement as a candidate for advanced degree in the University of Louisville, Spring 2015., 2015, University of Louisville
- The Louisville University's single nominee for The Blavatnik National Awards for Young Scientists, 2015., 2015, University of Louisville
- Mahmoud Mostapha was the recipient of the ECE Alumni Award., 2015, Speed School
- Marwa Ismail was the recipient of ECE Outstanding Graduate Student Award, 2015., 2015, Speed School
- Marwa Ismail was the recipient of the Theobald Scholarship Award in recognition of valuable contributions to Department of Electrical and Computer Engineering J.B. Speed School of Engineering University of Louisville April, 2015., 2015, Speed School
- Mohamed Shehata was the recipient of the Theobald Scholarship Award in recognition of valuable contributions to Department of Electrical and Computer Engineering J.B. Speed School of Engineering University of Louisville April, 2015., 2015, Speed School
- Citation Paper Award from the Annual International Society for Biofeedback, 2015., 2015, International Society for Biofeedback
- 2014-2015 Faculty Favorite., 2015, University of Louisville
- The Louisville University's single nominee for The Blavatnik National Awards for Young Scientists, 2015., 2014, The Blavatnik
- Fahmi Khalifa won the Second place Postdoctoral Fellow Award in Research ! Louisville, September 2014, 2014, University of Louisville
- Research Louisville, 2014 paper by Matthew Nitzken won second place award in the Engineering Collaboration category., 2014, University of Louisville
- Researchers recognized for work that can lead to commercialization, September 2014., 2014,
- Fahmi Khalifa received the John M. Houchens Prize in recognition of his excellent doctoral dissertation, Spring 2014., 2014, University of Louisville
- Fahmi Khalifa received the Graduate Dean's Citation award in recognition of his excellent achievement as a candidate for advanced degree in the University of Louisville, Spring 2014., 2014, University of Louisville
- Mahmoud Mostapha received University of Louisville Fellowship (a four-year scholarship to study at the University of Louisville, USA), Fall 2014., 2014, University of Louisville
- Marie Hensley won $1500 Dollar Research Grant from Autism Research Institute, 2014., 2014, Autism Research Institute
- 5.Fahmi Khalifa was the recipient of ECE Outstanding Graduate Student Award, 2014., 2014, Speed School
- Ahmed Soliman was the recipient of ECE Outstanding Graduate Student Award, 2014., 2014, Speed School
- Ahmed Soliman was the recipient of the Theobald Scholarship Award in recognition of valuable contributions to Department of Electrical and Computer Engineering J.B. Speed School of Engineering University of Louisville April, 2014., 2014, Speed School
- Amir Alansary was the recipient of the Theobald Scholarship Award in recognition of valuable contributions to Department of Electrical and Computer Engineering J.B. Speed School of Engineering University of Louisville April, 2014., 2014, University of Louisville
- Mahmoud Mostapha was the recipient of the Theobald Scholarship Award in recognition of valuable contributions to Department of Electrical and Computer Engineering J.B. Speed School of Engineering University of Louisville April, 2014., 2014, Speed School
- Matthew Nitzken was the recipient of ECE Outstanding Graduate Student Award, 2014., 2014, Speed School
- Matthew Nitzken was the recipient of the Theobald Scholarship Award in recognition of valuable contributions to Department of Electrical and Computer Engineering J.B. Speed School of Engineering University of Louisville April, 2014., 2014, University of Louisville
- Patrick McClure received Cambridge International Scholarship (a three-year scholarship to study at the University of Cambridge, England, valued at more than $230,000), Spring 2014., 2014, University of Cambridge
- Faculty Favorite, 2014, University of Louisville
- Ahemd Elnakib received the Graduate Dean's Citation, 2013, University of Louisville
- Ahemd Elnakib received the John M. Houchens Prize, 2013, University of Louisville
- Hisham Soliman was the recipient of the Best paper runner-up in the International Symposium on Computational Models for Life Science (CMLS'13), 2013, International Symposium on Computational Models for Life Science (CMLS'13)
- Hisham Sliman won the first place Student Engineering Collaboration Award in Research ! Louisville, 2013, University of Louisville
- Research of Louisville, 2013, University of Louisville
- Researchers recognized for work that can lead to commercialization, 2013, University of Louisville
- MICCAI MRBrainS13 Grand Challenge Winner, 2013, MICCAI
- Ahmad Firjani was the recipient of Arthur M. Riehl Award, 2013, Speed School
- Ahmed Elnakib was the recipient of the Theobald Scholarship Award, 2013, Speed School
- Fahmi Khalifa was the recipient of the Theobald Scholarship Award, 2013, Speed School
- Matthew Nitzken was the recipient of a Novel Research Innovation Award, 2013, University of Louisville
- Matthew Nitzken was the recipient of the Electrical Engineering Outstanding Graduate Student Award, 2013, Speed School
- Patrick McClure received the Jerry and Pat Strugeon Academic Excellence Award, 2013, Speed School
- Speed School nominee for Outstanding Scholarship in Basic and Applied Sciences, 2013, University of Louisville
- Recipient of the Provost's Award for Exemplary Advising Award, 2012-2013., 2013, University of Louisville
- First place in OVALS conference for our research in developing a new technology for early diagnosis of autism, 2012, OVALS
- 2011-2012 "Top 4" Faculty Favorite, 2012, University of Louisville - Delphi Center for Teaching & Learning
- Citation Paper Award, 2012, International Society for Neurofeedback & research
- First place winner annual Research Louisville, 2012 in Innovation in Biotechnology (For his research in early diagnosis of lung cancer)., 2012, University of Louisville
- Patent, 2012, University of Louisville
- Research Louisville, 2012 paper by Anita Allison-McNutt won second place award in the Engineering collaboration category, 2012, University of Louisville
- Ahmed Elnakib was the recipient of ECE Outstanding Graduate Student Award, 2012., 2012, Speed school
- Eric Gross was the recipient of Lewis S. Streng Award, 2012., 2012, Speed School
- Fahmi Khalifa was the recipient of ECE Outstanding Graduate Student Award, 2012., 2012, Speed School
- Louisville Chapter of the Society for Neuroscience, 2012 paper by Brynn Dombroski won second place award, April, 2012., 2012, Louisville Chapter of the Society for Neuroscience
- The Provost's Award for Exemplary Advising Award Nominee, 2012, University of Louisville
- Expo 2012, paper by Matthew Nitzken won first place award (Graduate Category)., 2012, Speed School
- Expo 2012, paper by Patrick McClure won first place award (Undergraduate Category)., 2012, Speed School
- Patrick McClure received Barry M. Goldwater Scholarship and Excellence in Education Foundation, 2012, 2012, M. Goldwater Scholarship and Excellence in Education Foundation
- AIMBE Fellow, 2018, The American Institute for Medical and Biological Engineering (AIMBE)
- Faculty Favorites, 2018, University of Louisville
- ABET Program Evaluator, 2018, Accreditation Board for Engineering and Technology
- NAI Fellow since April 2020, 2020, NAI
- EPIC Inventor Awards 2019 at UofL. , 2019, EPIC Inventor Awards 2019 at UofL.
- 2019 Distinguished Research Award in Recognition of Exemplary Research, , UofL
- Distinguished University Scholar (University of Louisville), 2019, UofL
- AIMBE Fellow since November 2018., 2019, American Institute for Medical and Biological Engineering
- 2018-2019 Nomination by BE students for Faculty Favorites , 2019, UofL
2023
Spring
- BE 697 - MENG THESIS IN BIOENGR
- BE 420 - BIOSYSTEMS & SIGNALS
- BE 420 - BIOSYSTEMS & SIGNALS
- BE 420 - BIOSYSTEMS & SIGNALS
- BE 101 - INTR BIOENGINEERING
- BE 601 - BE SEMINAR
- BE 540 - MACHINE LEARNING IN MED
- BE 540 - MACHINE LEARNING IN MED
- BE 540 - MACHINE LEARNING IN MED
- BE 530 - MACH LEARNING IN PYTHON
- BE 530 - MACH LEARNING IN PYTHON
2022
Spring
- BE 697 - MENG THESIS IN BIOENGR
- BE 101 - INTR BIOENGINEERING
- BE 640 - MEDICAL IMAGE ANALYSIS
- BE 500 - SPECIAL TOPICS IN BIOENG
- BE 601 - BE SEMINAR
- BE 540 - MACHINE LEARNING IN MED
- BE 540 - MACHINE LEARNING IN MED
- BE 698 - MS THESIS IN BIOENGINEERING
- BE 530 - MACH LEARNING IN PYTHON
- BE 530 - MACH LEARNING IN PYTHON
Summer
- BE 542 - MEDICAL IMAGE COMPUTING
- BE 542 - MEDICAL IMAGE COMPUTING
- BE 530 - MACH LEARNING IN PYTHON
- BE 530 - MACH LEARNING IN PYTHON
- BE 697 - MENG THESIS IN BIOENGR
Fall
- BE 697 - MENG THESIS IN BIOENGR
- BE 640 - MEDICAL IMAGE ANALYSIS
- BE 601 - BE SEMINAR
- BE 542 - MEDICAL IMAGE COMPUTING
- BE 542 - MEDICAL IMAGE COMPUTING
- BE 542 - MEDICAL IMAGE COMPUTING
- BE 542 - MEDICAL IMAGE COMPUTING
- BE 530 - MACH LEARNING IN PYTHON
- BE 544 - AI TECH IN DIGITAL PATH
- BE 544 - AI TECH IN DIGITAL PATH
2021
Spring
- BE 640 - MEDICAL IMAGE ANALYSIS
- BE 500 - SPECIAL TOPICS IN BIOENG
- BE 540 - MACHINE LEARNING IN MED
- BE 542 - MEDICAL IMAGE COMPUTING
- BE 530 - MACH LEARNING IN PYTHON
- BE 697 - MENG THESIS IN BIOENGR
- BE 101 - INTR BIOENGINEERING
- BE 601 - BE SEMINAR
Summer
- BE 697 - MENG THESIS IN BIOENGR
- BE 640 - MEDICAL IMAGE ANALYSIS
- BE 500 - SPECIAL TOPICS IN BIOENG
- BE 540 - MACHINE LEARNING IN MED
- BE 542 - MEDICAL IMAGE COMPUTING
- BE 530 - MACH LEARNING IN PYTHON
Fall
- BE 640 - MEDICAL IMAGE ANALYSIS
- BE 540 - MACHINE LEARNING IN MED
- BE 542 - MEDICAL IMAGE COMPUTING
- BE 530 - MACH LEARNING IN PYTHON
- BE 697 - MENG THESIS IN BIOENGR
- BE 601 - BE SEMINAR
- BE 698 - MS THESIS IN BIOENGINEERING
2020
Spring
- BE 640 - MEDICAL IMAGE ANALYSIS
- BE 500 - SPECIAL TOPICS IN BIOENG
- BE 540 - MACHINE LEARNING IN MED
- BE 697 - MENG THESIS IN BIOENGR
- BE 601 - BE DOCTORAL SEMINAR
Summer
- BE 640 - MEDICAL IMAGE ANALYSIS
- BE 500 - SPECIAL TOPICS IN BIOENG
- BE 500 - SPECIAL TOPICS IN BIOENG
- BE 540 - MACHINE LEARNING IN MED
- BE 542 - MEDICAL IMAGE COMPUTING
- BE 697 - MENG THESIS IN BIOENGR
Fall
- BE 500 - SPECIAL TOPICS IN BIOENG
- BE 697 - MENG THESIS IN BIOENGR
- BE 601 - BE SEMINAR
2019
Spring
- BE 640 - MEDICAL IMAGE ANALYSIS
- BE 500 - SPECIAL TOPICS IN BIOENG
- BE 540 - MACHINE LEARNING IN MED
- BE 697 - MENG THESIS IN BIOENGR
- BE 500 - SPECIAL TOPICS IN BIOENG
- BE 601 - BE DOCTORAL SEMINAR
Fall
- BE 640 - MEDICAL IMAGE ANALYSIS
- BE 540 - MACHINE LEARNING IN MED
- CECS 641 - MEDICAL IMAGING SYSTEMS
- BE 697 - MENG THESIS IN BIOENGR
- BE 640 - MEDICAL IMAGE ANALYSIS
- BE 601 - BE DOCTORAL SEMINAR
Summer
- BE 640 - MEDICAL IMAGE ANALYSIS
- BE 500 - SPECIAL TOPICS IN BIOENG
- BE 540 - MACHINE LEARNING IN MED
- BE 542 - MEDICAL IMAGE COMPUTING
- BE 697 - MENG THESIS IN BIOENGR
- BE 693 - INDEPENDENT STUDY IN BE
2018
Spring
- BE 420 - BIOSYSTEMS & SIGNALS
- BE 640 - MEDICAL IMAGE ANALYSIS
- BE 500 - SPECIAL TOPICS IN BIOENG
- BE 697 - MENG THESIS IN BIOENGR
- BE 420 - BIOSYSTEMS & SIGNALS
- BE 500 - SPECIAL TOPICS IN BIOENG
- BE 601 - BE DOCTORAL SEMINAR
Fall
- BE 420 - BIOSYSTEMS & SIGNALS
- BE 640 - MEDICAL IMAGE ANALYSIS
- BE 500 - SPECIAL TOPICS IN BIOENG
- CECS 641 - MEDICAL IMAGING SYSTEMS
- BE 697 - MENG THESIS IN BIOENGR
- BE 491 - ECON, ETHICS & FDA REGS
- BE 640 - MEDICAL IMAGE ANALYSIS
- BE 601 - BE DOCTORAL SEMINAR
Summer
- BE 420 - BIOSYSTEMS & SIGNALS
- BE 640 - MEDICAL IMAGE ANALYSIS
- BE 540 - MACHINE LEARNING IN MED
- ECE 693 - INDEPENDENT STUDY IN ECE
- BE 697 - MENG THESIS IN BIOENGR
2017
Spring
- BE 420 - BIOSYSTEMS & SIGNALS
- CECS 693 - INDEP STUDY CECS
- BE 697 - MENG THESIS IN BIOENGR
- BE 420 - BIOSYSTEMS & SIGNALS
- BE 601 - BE DOCTORAL SEMINAR
Fall
- BE 420 - BIOSYSTEMS & SIGNALS
- BE 697 - MENG THESIS IN BIOENGR
- BE 640 - MEDICAL IMAGE ANALYSIS
- BE 601 - BE DOCTORAL SEMINAR
Summer
- BE 697 - MENG THESIS IN BIOENGR
2016
Fall
- CECS 693 - INDEP STUDY CECS
- CECS 641 - MEDICAL IMAGING SYSTEMS
- BE 697 - MENG THESIS IN BIOENGR
- BE 640 - MEDICAL IMAGE ANALYSIS
- BE 601 - BE DOCTORAL SEMINAR
Summer
- BE 697 - MENG THESIS IN BIOENGR
- BE 340 - COMP METHODOLOGIES IN BE
Spring
- BE 420 - BIOSYSTEMS & SIGNALS
- BE 693 - INDEPENDENT STUDY IN BE
2015
Spring
- ECE 693 - INDEPENDENT STUDY IN ECE
- ECE 693 - INDEPENDENT STUDY IN ECE
- ECE 693 - INDEPENDENT STUDY IN ECE
- BE 420 - BIOSYSTEMS & SIGNALS
- BE 693 - INDEPENDENT STUDY IN BE
- BE 693 - INDEPENDENT STUDY IN BE
Summer
- ECE 693 - INDEPENDENT STUDY IN ECE
- BE 340 - COMP METHODOLOGIES IN BE
Fall
- CECS 641 - MEDICAL IMAGING SYSTEMS
- BE 640 - MEDICAL IMAGE ANALYSIS
2014
Spring
- BE 420 - BIOSYSTEMS & SIGNALS
Summer
- BE 340 - COMP METHODOLOGIES IN BE
Fall
- BE 640 - MEDICAL IMAGE ANALYSIS
2013
Summer
- ECE 693 - INDEPENDENT STUDY IN ECE
- ECE 693 - INDEPENDENT STUDY IN ECE
- ECE 693 - INDEPENDENT STUDY IN ECE
- CECS 693 - INDEP STUDY CECS
- BE 340 - COMP METHODOLOGIES IN BE
Fall
- ECE 693 - INDEPENDENT STUDY IN ECE
- ECE 693 - INDEPENDENT STUDY IN ECE
- BE 621 - BIOINSTRUMENTATION
- BE 640 - MEDICAL IMAGE ANALYSIS
Ayman El-Baz
Chairperson, Professor & Distinguished Scholar Bioengineering
502-852-5092