| Evaluation of algorithms for multi-modality whole heart segmentation: an open-access grand challenge X Zhuang, L Li, C Payer, D Štern, M Urschler, MP Heinrich, J Oster, ... Medical image analysis 58, 101537, 2019 | 307 | 2019 |
| Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks JR Burt, N Torosdagli, N Khosravan, H RaviPrakash, A Mortazi, ... The British journal of radiology 91 (1089), 20170545, 2018 | 203 | 2018 |
| CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN A Mortazi, R Karim, K Rhode, J Burt, U Bagci Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017 …, 2017 | 137 | 2017 |
| Automatically designing CNN architectures for medical image segmentation A Mortazi, U Bagci Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018 | 111 | 2018 |
| Multi-planar deep segmentation networks for cardiac substructures from MRI and CT A Mortazi, J Burt, U Bagci Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS …, 2018 | 86 | 2018 |
| The international workshop on osteoarthritis imaging knee MRI segmentation challenge: a multi-institute evaluation and analysis framework on a standardized dataset AD Desai, F Caliva, C Iriondo, A Mortazi, S Jambawalikar, U Bagci, ... Radiology: Artificial Intelligence 3 (3), e200078, 2021 | 66 | 2021 |
| Pan: Projective adversarial network for medical image segmentation N Khosravan, A Mortazi, M Wallace, U Bagci Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 51 | 2019 |
| Selecting the best optimizers for deep learning–based medical image segmentation A Mortazi, V Cicek, E Keles, U Bagci Frontiers in Radiology 3, 1175473, 2023 | 9 | 2023 |
| Weakly supervised segmentation by a deep geodesic prior A Mortazi, N Khosravan, DA Torigian, S Kurugol, U Bagci International Workshop on Machine Learning in Medical Imaging, 238-246, 2019 | 7 | 2019 |
| A multi-institute automated segmentation evaluation on a standard dataset: Findings from the international workshop on osteoarthritis imaging segmentation challenge A Desai, F Caliva, C Iriondo, N Khosravan, A Mortazi, S Jambawalikar, ... Osteoarthritis and Cartilage 28, S304-S305, 2020 | 4 | 2020 |
| Optimization Algorithms for Deep Learning Based Medical Image Segmentations A Mortazi | 4 | 2019 |
| A post-acquisition standardization method for positron emission tomography images A Mortazi, JK Udupa, Y Tong, DA Torigian Medical Imaging 2020: Computer-Aided Diagnosis 11314, 907-912, 2020 | 3 | 2020 |
| Using embodiment theory to train a set of actuators with different expertise to accomplish a duty: An application to train a quadruped robot for walking A Mortazi, SB Shouraki 2015 23rd Iranian Conference on Electrical Engineering, 589-594, 2015 | 1 | 2015 |
| Post-acquisition standardization of positron emission tomography images A Mortazi, JK Udupa, D Odhner, Y Tong, DA Torigian Frontiers in Nuclear Medicine 3, 1210931, 2023 | | 2023 |
| DEEP LEARNING POWERED SOLUTION FOR DETECTING CORONARY ARTERY DISEASE AND STENOSIS QUANTIFICATION FROM ECG GATED CT CORONARY ANGIOGRAM (CTCA) AA Mortazi, A Gautam, P Raghav, S Rathore, A Singh, S Rathore Journal of the American College of Cardiology 79 (9_Supplement), 2003-2003, 2022 | | 2022 |
| Standardization Of Positron Emission Tomography Based Images JK Udupa, A Mortazi, Y Tong, DA Torigian, D Odhner US Patent App. 17/175,655, 2021 | | 2021 |
| Fully Automated Calcium Scoring, Classification And Risk Categorization Solution Using Artificial Intelligence On Non-Contrast Cardiac CT Scan S Rathore, A Gautam, P Raghav, A Mortazi, R Rajgopal, D Jain, ... Journal of Cardiovascular Computed Tomography 15 (4), S5, 2021 | | 2021 |
| Cardiac Image Analysis with Deep Learning Methods A Mortazi, G Papadakis, U Teomete, U Bagci Annual Meeting of the Radiological Society of North America, 2018 | | 2018 |
| Deep Learning for Cardiac MRI: Automatically Segmenting Left Atrium and Proximal Veins with Human Level Performance A Mortazi, J Burt, U Bagci Annual Meeting of the Radiological Society of North America, 2017 | | 2017 |
| Deep Learning Applications in Radiology: Recent Developments, Challenges and Potential Solutions S Hussein, A Mortazi, H Raviprakash, JR Burtⱡ, U Bagci Annual Meeting of the Radiological Society of North America, 2017 | | 2017 |
Ulas BagciNorthwestern UniversityVerified email at northwestern.edu
