MoNuSAC2020: A multi-organ nuclei segmentation and classification challenge R Verma, N Kumar, A Patil, NC Kurian, S Rane, S Graham, QD Vu, ... IEEE Transactions on Medical Imaging 40 (12), 3413-3423, 2021 | 149 | 2021 |
Jointly measuring diversity and quality in text generation models E Montahaei, D Alihosseini, MS Baghshah arXiv preprint arXiv:1904.03971, 2019 | 67 | 2019 |
HEROHE challenge: predicting HER2 status in breast cancer from hematoxylin–eosin whole-slide imaging E Conde-Sousa, J Vale, M Feng, K Xu, Y Wang, V Della Mea, ... Journal of Imaging 8 (8), 213, 2022 | 30* | 2022 |
DGSAN: discrete generative self-adversarial network E Montahaei, D Alihosseini, MS Baghshah Neurocomputing 448, 364-379, 2021 | 16 | 2021 |
Adversarial classifier for imbalanced problems E Montahaei, M Ghorbani, MS Baghshah, HR Rabiee arXiv preprint arXiv:1811.08812, 2018 | 13 | 2018 |
Efficient continuous skyline computation on multi-core processors based on manhattan distance E Montahaie, M Ghafouri, S Rahmani, H Ghasemi, FS Bakhtiar, ... 2015 ACM/IEEE International Conference on Formal Methods and Models for …, 2015 | 6* | 2015 |
Segmentation of liver and liver lesions using deep learning M Fallahpoor, D Nguyen, E Montahaei, A Hosseini, S Nikbakhtian, ... Physical and Engineering Sciences in Medicine, 1-9, 2024 | 4 | 2024 |