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Amirali Darbandsari
Amirali Darbandsari
Verified email at ece.ubc.ca
Title
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Cited by
Year
The utility of color normalization for AI‐based diagnosis of hematoxylin and eosin‐stained pathology images
J Boschman, H Farahani, A Darbandsari, P Ahmadvand, ...
The Journal of Pathology, 2022
362022
Deep learning-based histotype diagnosis of ovarian carcinoma whole-slide pathology images
H Farahani, J Boschman, D Farnell, A Darbandsari, A Zhang, ...
Modern Pathology, 2022
262022
CCRL: Contrastive Cell Representation Learning
R Nakhli, A Darbandsari, H Farahani, A Bashashati
Computer Vision–ECCV 2022 Workshops, 2023
42023
A novel H and E color augmentation for domain invariance classification of unannotated histopathology prostate cancer images
R Bazargani, W Chen, S Sadeghian, M Asadi, J Boschman, ...
Medical Imaging 2023: Digital and Computational Pathology, 2023
32023
VOLTA: an Environment-Aware Contrastive Cell Representation Learning for Histopathology
R Nakhli, A Zhang, H Farahani, A Darbandsari, E Shenasa, S Thiessen, ...
arXiv preprint arXiv:2303.04696, 2023
22023
Artificial intelligence-based histopathology image analysis identifies a novel subset of endometrial cancers with distinct genomic features and unfavourable outcome
A Darbandsari, H Farahani, M Wiens, D Cochrane, M Asadi, AK Mirabadi, ...
medRxiv, 2023.05. 23.23290415, 2023
12023
GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation
AK Mirabadi, G Archibald, A Darbandsari, A Contreras-Sanz, RE Nakhli, ...
arXiv preprint arXiv:2402.03592, 2024
2024
Identification of a novel subtype of endometrial cancer with unfavorable outcome using artificial intelligence-based histopathology image analysis.
A Darbandsari, H Farahani, P Abolmaesumi, S Leung, S Kommoss, ...
Journal of Clinical Oncology 40, 5594-5594, 2022
2022
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