Aliasghar Mortazi
Aliasghar Mortazi
Medical Image Processing Group(MIPG), Upenn
Verified email at uphs.upenn.edu - Homepage
Title
Cited by
Cited by
Year
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
82*2017
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
672019
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
602018
Multi-planar deep segmentation networks for cardiac substructures from MRI and CT
A Mortazi, J Burt, U Bagci
International Workshop on Statistical Atlases and Computational Models of …, 2017
402017
Automatically designing CNN architectures for medical image segmentation
A Mortazi, U Bagci
International Workshop on Machine Learning in Medical Imaging, 98-106, 2018
352018
International Conference on Medical Image Computing and Computer-Assisted Intervention
A Mortazi, R Karim, K Rhode, J Burt, U Bagci
102017
Pan: Projective adversarial network for medical image segmentation
N Khosravan, A Mortazi, M Wallace, U Bagci
International Conference on Medical Image Computing and Computer-Assisted …, 2019
82019
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, e200078, 2021
32021
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
22019
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
12020
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, 113143U, 2020
12020
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
12015
Optimization Algorithms for Deep Learning Based Medical Image Segmentations
A Mortazi
2019
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
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