Mohammad Reza Hosseinzadeh Taher

According to our database, Mohammad Reza Hosseinzadeh Taher authored at least 12 papers between 2014 and 2024.

Collaborative distances:

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

2024

Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial?

Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang

Medical Image Anal., 2024

Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision.

Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Curriculum Self-Supervised Learning for 3D CT Cardiac Image Segmentation.

Mohammad Reza Hosseinzadeh Taher, Masaki Ikuta, Ravi Soni

Proceedings of the Machine Learning for Health, 2023

Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision.

Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang

Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023

2022

CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging.

Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image Analysis.

Jiaxuan Pang, Fatemeh Haghighi, Dongao Ma, Nahid Ul Islam, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang

Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022

Benchmarking and Boosting Transformers for Medical Image Classification.

Dongao Ma, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Nahid Ul Islam, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang

Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022

DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis.

Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning.

Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang

IEEE Trans. Medical Imaging, 2021

A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis.

Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

2020

Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration.

Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2014

Power-aware analysis of H.264/AVC encoding parameters for cloud gaming.

Mohammad Reza Hosseinzadeh Taher, Hamed Ahmadi, Mahmoud Reza Hashemi

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014