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The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.

A. Desai, F. Calivá, C. Iriondo, N. Khosravan, A. Mortazi, S. Jambawalikar, D. Torigian, J. Ellermann, M. Akçakaya, U. Bagci, R. Tibrewala, I. Flament, M. O'Brien, S. Majumdar, M. Perslev, A. Pai, C. Igel, E. Dam, S. Gaj, M. Yang, K. Nakamura, X. Li, C. Deniz, V. Juras, R. Regatte, G. Gold, B. Hargreaves, V. Pedoia, and A. Chaudhari. CoRR, (2020)

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Aliasghar Momeni

Aliasghar Pakzadeh

Shobeir Aliasghar Zadeh

Aliasghar Dehbozorgi Nejad

Other publications of authors with the same name

Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation.A. Mortazi, V. Cicek, E. Keles, and U. Bagci. CoRR, (2023)Automatically Designing CNN Architectures for Medical Image Segmentation.A. Mortazi, and U. Bagci. MLMI@MICCAI, volume 11046 of Lecture Notes in Computer Science, page 98-106. Springer, (2018)Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT.A. Mortazi, J. Burt, and U. Bagci. STACOM@MICCAI, volume 10663 of Lecture Notes in Computer Science, page 199-206. Springer, (2017)Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge.X. Zhuang, L. Li, C. Payer, D. Stern, M. Urschler, M. Heinrich, J. Oster, C. Wang, Ö. Smedby, C. Bian and 9 other author(s). Medical Image Anal., (2019)CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN.A. Mortazi, R. Karim, K. Rhode, J. Burt, and U. Bagci. MICCAI (2), volume 10434 of Lecture Notes in Computer Science, page 377-385. Springer, (2017)Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.X. Zhuang, L. Li, C. Payer, D. Stern, M. Urschler, M. Heinrich, J. Oster, C. Wang, Ö. Smedby, C. Bian and 24 other author(s). CoRR, (2019)The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.A. Desai, F. Calivá, C. Iriondo, N. Khosravan, A. Mortazi, S. Jambawalikar, D. Torigian, J. Ellermann, M. Akçakaya, U. Bagci and 19 other author(s). CoRR, (2020)PAN: Projective Adversarial Network for Medical Image Segmentation.N. Khosravan, A. Mortazi, M. Wallace, and U. Bagci. MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 68-76. Springer, (2019)A post-acquisition standardization method for positron emission tomography images.A. Mortazi, J. Udupa, Y. Tong, and D. Torigian. Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Weakly Supervised Segmentation by a Deep Geodesic Prior.A. Mortazi, N. Khosravan, D. Torigian, S. Kurugol, and U. Bagci. MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 238-246. Springer, (2019)

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