Mohammad Hossein Rohban
Mohammad Hossein Rohban
Computer Eng. Department, Sharif University of Technology
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
Supervised neighborhood graph construction for semi-supervised classification
MH Rohban, HR Rabiee
Pattern Recognition 45 (4), 1363-1372, 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
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
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
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
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
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
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
Skin detection using contourlet-based texture analysis
M Fotouhi, MH Rohban, S Kasaei
2009 Fourth International Conference on Digital Telecommunications, 59-64, 2009
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
Efficient distributed topic modeling with provable guarantees
W Ding, M Rohban, P Ishwar, V Saligrama
Artificial Intelligence and Statistics, 167-175, 2014
A bayesian approach to the data description problem
A Ghasemi, HR Rabiee, MT Manzuri, MH Rohban
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 907-913, 2012
Minimax optimal sparse signal recovery with Poisson statistics
MH Rohban, V Saligrama, DM Vaziri
IEEE Transactions on Signal Processing 64 (13), 3495-3508, 2016
Active one-class learning by kernel density estimation
A Ghasemi, MT Manzuri, HR Rabiee, MH Rohban, S Haghiri
2011 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2011
The system can't perform the operation now. Try again later.
Articles 1–20