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Mohammadsadegh Saberian
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Deep packet: A novel approach for encrypted traffic classification using deep learning
M Lotfollahi, MJ Siavoshani, RSH Zade, M Saberian
Soft Computing 24 (3), 1999-2012, 2019
10882019
Rxrx1: A dataset for evaluating experimental batch correction methods
M Sypetkowski, M Rezanejad, S Saberian, O Kraus, J Urbanik, J Taylor, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
372023
DEEMD: Drug Efficacy Estimation against SARS-CoV-2 based on cell Morphology with Deep multiple instance learning
MS Saberian, KP Moriarty, AD Olmstead, C Hallgrimson, F Jean, IR Nabi, ...
IEEE Transactions on Medical Imaging 41 (11), 3128-3145, 2022
162022
Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology
O Kraus, K Kenyon-Dean, S Saberian, M Fallah, P McLean, J Leung, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
152024
Masked autoencoders are scalable learners of cellular morphology
O Kraus, K Kenyon-Dean, S Saberian, M Fallah, P McLean, J Leung, ...
arXiv preprint arXiv:2309.16064, 2023
122023
Deep packet: A novel approach for encrypted traffic classification using DL
M Lotfollahi, R Shirali, MJ Siavoshani, M Saberian
CoRR abs/1709.02656, 2017
72017
Deep packet: A novel approach for encrypted traffic classification using deep learning. arXiv 2017
M Lotfollahi, R Shirali, MJ Siavoshani, M Saberian
arXiv preprint arXiv:1709.02656, 0
5
Vitally consistent: Scaling biological representation learning for cell microscopy
K Kenyon-Dean, ZJ Wang, J Urbanik, K Donhauser, J Hartford, ...
arXiv preprint arXiv:2411.02572, 2024
32024
Utilizing masked autoencoder generative models to extract microscopy representation autoencoder embeddings
OZ Kraus, KR Kenyon-Dean, M Saberian, M Fallah, PF McLean, ...
US Patent 12,119,090, 2024
2024
Utilizing masked autoencoder generative models to extract microscopy representation autoencoder embeddings
OZ Kraus, KR Kenyon-Dean, M Saberian, M Fallah, PF McLean, ...
US Patent 12,119,091, 2024
2024
DEEMD: DRUG EFFICACY ESTIMATION AGAINST SARS-COV-2 BASED ON CELL MORPHOLOGY WITH DEEP
MS Saberian, KP Moriarty, AD Olmstead, IR Nabi, F Jean, MW Libbrecht, ...
2021
DEEMD: Drug Efficacy Estimation against SARS-CoV-2 based on cell Morphology with Deep multiple instance learning
M Sadegh Saberian, KP Moriarty, AD Olmstead, C Hallgrimson, F Jean, ...
arXiv e-prints, arXiv: 2105.05758, 2021
2021
Drug Repurposing Efficacy Estimation based on Morphological Analysis of SARS-CoV-2 Infected Cells within a Multiple Instance Learning Framework
MS Saberian, KP Moriarty, AD Olmstead, IR Nabi, F Jean, MW Libbrecht, ...
2020
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