| Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl JC Caicedo, A Goodman, KW Karhohs, BA Cimini, J Ackerman, ... Nature methods 16 (12), 1247-1253, 2019 | 733 | 2019 |
| Data-analysis strategies for image-based cell profiling JC Caicedo, S Cooper, F Heigwer, S Warchal, P Qiu, C Molnar, ... Nature methods 14 (9), 849-863, 2017 | 713 | 2017 |
| Multiresolution knowledge distillation for anomaly detection M Salehi, N Sadjadi, S Baselizadeh, MH Rohban, HR Rabiee Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 551 | 2021 |
| A unified survey on anomaly, novelty, open-set, and out-of-distribution detection: Solutions and future challenges M Salehi, H Mirzaei, D Hendrycks, Y Li, MH Rohban, M Sabokrou Transactions on Machine Learning Research (TMLR), 2021 | 262 | 2021 |
| Deep learning for caries detection: a systematic review H Mohammad-Rahimi, SR Motamedian, MH Rohban, J Krois, SE Uribe, ... Journal of Dentistry 122, 104115, 2022 | 179 | 2022 |
| A dataset of images and morphological profiles of 30 000 small-molecule treatments using the Cell Painting assay MA Bray, SM Gustafsdottir, MH Rohban, S Singh, V Ljosa, KL Sokolnicki, ... Gigascience 6 (12), 1-5, 2017 | 174 | 2017 |
| Systematic morphological profiling of human gene and allele function via Cell Painting MH Rohban, S Singh, X Wu, JB Berthet, MA Bray, Y Shrestha, X Varelas, ... Elife 6, e24060, 2017 | 156 | 2017 |
| Machine learning and orthodontics, current trends and the future opportunities: A scoping review H Mohammad-Rahimi, M Nadimi, MH Rohban, E Shamsoddin, VY Lee, ... American Journal of Orthodontics and Dentofacial Orthopedics 160 (2), 170 …, 2021 | 102 | 2021 |
| Morphology and gene expression profiling provide complementary information for mapping cell state GP Way, T Natoli, A Adeboye, L Litichevskiy, A Yang, X Lu, JC Caicedo, ... Cell systems 13 (11), 911-923. e9, 2022 | 90 | 2022 |
| Supervised neighborhood graph construction for semi-supervised classification MH Rohban, HR Rabiee Pattern Recognition 45 (4), 1363-1372, 2012 | 75 | 2012 |
| Arae: Adversarially robust training of autoencoders improves novelty detection M Salehi, A Arya, B Pajoum, M Otoofi, A Shaeiri, MH Rohban, HR Rabiee Neural Networks 144, 726-736, 2021 | 72 | 2021 |
| Topic discovery through data dependent and random projections W Ding, MH Rohban, P Ishwar, V Saligrama International Conference on Machine Learning, 1202-1210, 2013 | 69 | 2013 |
| Puzzle-ae: Novelty detection in images through solving puzzles M Salehi, A Eftekhar, N Sadjadi, MH Rohban, HR Rabiee arXiv preprint arXiv:2008.12959, 2020 | 67 | 2020 |
| Deep learning in periodontology and oral implantology: a scoping review H Mohammad‐Rahimi, SR Motamedian, Z Pirayesh, A Haiat, ... Journal of periodontal research 57 (5), 942-951, 2022 | 65 | 2022 |
| Fake It Until You Make It: Towards Accurate Near-Distribution Novelty Detection H Mirzaei, M Salehi, S Shahabi, E Gavves, CGM Snoek, M Sabokrou, ... The Eleventh International Conference on Learning Representations (ICLR), 2023 | 51* | 2023 |
| Deep learning for the classification of cervical maturation degree and pubertal growth spurts: A pilot study H Mohammad-Rahimi, SR Motamadian, M Nadimi, ... Korean journal of orthodontics 52 (2), 112-122, 2022 | 39 | 2022 |
| Active learning from positive and unlabeled data A Ghasemi, HR Rabiee, M Fadaee, MT Manzuri, MH Rohban 2011 IEEE 11th International Conference on Data Mining Workshops, 244-250, 2011 | 39 | 2011 |
| Capturing single-cell heterogeneity via data fusion improves image-based profiling MH Rohban, HS Abbasi, S Singh, AE Carpenter Nature communications 10 (1), 2082, 2019 | 37 | 2019 |
| Swinchex: Multi-label classification on chest x-ray images with transformers S Taslimi, S Taslimi, N Fathi, M Salehi, MH Rohban arXiv preprint arXiv:2206.04246, 2022 | 31 | 2022 |
| Virtual screening for small-molecule pathway regulators by image-profile matching MH Rohban, AM Fuller, C Tan, JT Goldstein, D Syangtan, A Gutnick, ... Cell systems 13 (9), 724-736. e9, 2022 | 29 | 2022 |
Hamid R. RabieeDistinguished Professor of Computer Engineering, Sharif University of TechnologyE-mail megerősítve itt: sharif.edu