Segmentation of Multiple Sclerosis lesion in brain MR images using Fuzzy C-Means. - Saba Heidari Gheshlaghi; Abolfazl Madani; Amir Abolfazl Suratgar; Fardin Faraji (CoRR, 2018)

Efficient Oct Image Segmentation Using Neural Architecture Search. - Saba Heidari Gheshlaghi; Omid Dehzangi; Ali Dabouei; Annahita Amireskandari; Ali Rezai; Nasser M. Nasrabadi (ICIP, 2020)

OCT Image Segmentation Using Neural Architecture Search and SRGAN. - Omid Dehzangi; Saba Heidari Gheshlaghi; Annahita Amireskandari; Nasser M. Nasrabadi; Ali Rezai (ICPR, 2020)

Breast Cancer Histopathological Image Classification with Adversarial Image Synthesis. - Saba Heidari Gheshlaghi; Chi Nok Enoch Kan; Dong Hye Ye (EMBC, 2021)

Deep Learning for Breast Cancer Classification of Deep Ultraviolet Fluorescence Images toward Intra-Operative Margin Assessment. - Tyrell To; Saba Heidari Gheshlaghi; Dong Hye Ye (EMBC, 2022)

Robust and Transferable Graph Neural Networks for Medical Images. - Saba Heidari Gheshlaghi; Nasim Yahyasoltani (ICMLA, 2023)

Artifact-Robust Graph-Based Learning in Digital Pathology. - Saba Heidari Gheshlaghi; Milan Aryal; Nasim Yahyasoltani; Masoud Ganji (CoRR, 2023)

Adversary-Robust Graph-Based Learning of WSIs. - Saba Heidari Gheshlaghi; Milan Aryal; Nasim Yahyasoltani; Masoud Ganji (CoRR, 2024)

Uncertainty Estimation for Out-of-Distribution Detection of Whole Slide Images. - Saba Heidari Gheshlaghi; Nasim Yahya Soltani; Masoud Ganji (ICASSP, 2025)

Explainability-based adversarial attack on graphs through edge perturbation. - Dibaloke Chanda; Saba Heidari Gheshlaghi; Nasim Yahya Soltani (Knowl. Based Syst., 2025)

Explainability-based graph augmentation for out-of-distribution robustness in digital pathology. - Saba Heidari Gheshlaghi; Milan Aryal; Nasim Yahya Soltani; Masoud Ganji (Knowl. Based Syst., 2025)