Aliasghar Mortazi

According to our database, Aliasghar Mortazi authored at least 10 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation.

Aliasghar Mortazi, Vedat Cicek, Elif Keles, Ulas Bagci

CoRR, 2023

2020

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

Arjun D. Desai, Francesco Calivá, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew A. Torigian, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew O'Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari

CoRR, 2020

A post-acquisition standardization method for positron emission tomography images.

Aliasghar Mortazi, Jayaram K. Udupa, Yubing Tong, Drew A. Torigian

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge.

Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Guang Yang

Medical Image Anal., 2019

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.

Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom J. MacGillivray, David E. Newby, Kawal S. Rhode, Sébastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David N. Firmin, Guang Yang

CoRR, 2019

Weakly Supervised Segmentation by a Deep Geodesic Prior.

Aliasghar Mortazi, Naji Khosravan, Drew A. Torigian, Sila Kurugol, Ulas Bagci

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

PAN: Projective Adversarial Network for Medical Image Segmentation.

Naji Khosravan, Aliasghar Mortazi, Michael B. Wallace, Ulas Bagci

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Automatically Designing CNN Architectures for Medical Image Segmentation.

Aliasghar Mortazi, Ulas Bagci

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

2017

CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN.

Aliasghar Mortazi, Rashed Karim, Kawal S. Rhode, Jeremy Burt, Ulas Bagci

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT.

Aliasghar Mortazi, Jeremy Burt, Ulas Bagci

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017