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 | 651 | 2017 |
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 | 619 | 2019 |
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 | 420 | 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 | 195 | 2021 |
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 | 157 | 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 | 139 | 2017 |
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 | 120 | 2022 |
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 | 79 | 2021 |
Supervised neighborhood graph construction for semi-supervised classification MH Rohban, HR Rabiee Pattern Recognition 45 (4), 1363-1372, 2012 | 76 | 2012 |
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 |
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 | 66 | 2022 |
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 | 62 | 2021 |
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 | 62 | 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 | 48 | 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 | 38* | 2023 |
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 | 38 | 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 | 36 | 2019 |
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 | 29 | 2022 |
Efficient distributed topic modeling with provable guarantees W Ding, M Rohban, P Ishwar, V Saligrama Artificial Intelligence and Statistics, 167-175, 2014 | 27 | 2014 |
Skin detection using contourlet-based texture analysis M Fotouhi, MH Rohban, S Kasaei 2009 Fourth International Conference on Digital Telecommunications, 59-64, 2009 | 27 | 2009 |