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Saba Heidari Gheshlaghi
Saba Heidari Gheshlaghi
Department of Computer Science, Marquette University
Verified email at marquette.edu - Homepage
Title
Cited by
Cited by
Year
Breast cancer histopathological image classification with adversarial image synthesis
SH Gheshlaghi, CNE Kan, DH Ye
2021 43rd annual international conference of the IEEE engineering in …, 2021
202021
Efficient OCT Image Segmentation Using Neural Architecture Search
Saba Heidari Gheshlaghi, Omid Dehzangi, Ali Dabouei, Annahita Amireskandari ...
IEEE Int. Conf. Image Processing (ICIP'20), 25-28 October, 2020, United Arab …, 2020
15*2020
OCT Image Segmentation Using Neural Architecture Search and SRGAN
O Dehzangi, S Heidari Gheshlaghi, A Amireskandari, N M. Nasrabadi, ...
25th Int. Conf. on Pattern Recognition (ICPR’20), 2021
72021
A superpixel segmentation based technique for multiple sclerosis lesion detection
SH Gheshlaghi, A Ranjbar, AA Suratgar, MB Menhaj, F Faraji
arXiv preprint arXiv:1907.03109, 2019
72019
Deep learning for breast cancer classification of deep ultraviolet fluorescence images toward intra-operative margin assessment
T To, SH Gheshlaghi, DH Ye
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
32022
Segmentation of Multiple Sclerosis lesion in brain MR images using Fuzzy C-Means
S Heidari Gheshlaghi, A Madani, AA Suratgar, F Faraji
International Journal of Artificial Intelligence and Applications (IJAIA) 9 …, 2018
3*2018
Age encoded adversarial learning for pediatric CT segmentation
SH Gheshlaghi, CNE Kan, TG Schmidt, DH Ye
Bioengineering 11 (4), 319, 2024
2024
Adversary-Robust Graph-Based Learning of WSIs
S Heidari Gheshlaghi, M Aryal, N Yahyasoltani, M Ganji
arXiv e-prints, arXiv: 2403.14489, 2024
2024
Explainability-Based Adversarial Attack on Graphs Through Edge Perturbation
D Chanda, SH Gheshlaghi, NY Soltani
arXiv preprint arXiv:2312.17301, 2023
2023
Robust and transferable graph neural networks for medical images
S Heidari Gheshlaghi, N YahyaSoltani
International Conference on Machine Learning and Applications (ICMLA), 2023
2023
Artifact-Robust Graph-Based Learning in Digital Pathology
S Heidari Gheshlaghi, M Aryal, N Yahyasoltani, M Ganji
arXiv e-prints, arXiv: 2310.18192, 2023
2023
Migraine Disease Detection using EEG Signals: a Supervised Learning Approach
A Ranjbar, S Heidari, AA Suratgar
Frontiers in Sharif Neuroscience Symposium, 2019
2019
MULTIPLE SCLEROSIS DIAGNOSIS WITH FUZZY CMeans
S Heidari Gheshlaghi, A Madani, AA Suratgar, F Faraji
Computer Science & Information Technology, 97-104, 2018
2018
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