Fatemeh Haghighi

According to our database, Fatemeh Haghighi authored at least 10 papers between 2020 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

2023

Self-supervised Learning for Segmentation and Quantification of Dopamine Neurons in Parkinson's Disease.

Fatemeh Haghighi, Soumitra Ghosh, Sarah Chu, Hai Ngu, Mohsen Hejrati, Han Hui Lin, Baris Bingol, Somaye Hashemifar

Trans. Mach. Learn. Res., 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

Stacking ensemble model of deep learning and its application to Persian/Arabic handwritten digits recognition.

Fatemeh Haghighi, Hesam Omranpour

Knowl. Based Syst., 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