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Oren Kraus
Oren Kraus
Senior Machine Learning Scientist, Recursion
Verified email at mail.utoronto.ca
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Cited by
Cited by
Year
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ...
Jama 318 (22), 2199-2210, 2017
29802017
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
6392017
Classifying and segmenting microscopy images with deep multiple instance learning
OZ Kraus, JL Ba, BJ Frey
Bioinformatics 32 (12), i52-i59, 2016
4832016
Automated analysis of high‐content microscopy data with deep learning
OZ Kraus, BT Grys, J Ba, Y Chong, BJ Frey, C Boone, BJ Andrews
Molecular systems biology 13 (4), 924, 2017
2962017
Machine learning and computer vision approaches for phenotypic profiling
BT Grys, DS Lo, N Sahin, OZ Kraus, Q Morris, C Boone, BJ Andrews
Journal of Cell Biology 216 (1), 65-71, 2017
1682017
Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting
AX Lu, OZ Kraus, S Cooper, AM Moses
PLoS computational biology 15 (9), e1007348, 2019
952019
Exploring whole-genome duplicate gene retention with complex genetic interaction analysis
E Kuzmin, B VanderSluis, AN Nguyen Ba, W Wang, EN Koch, M Usaj, ...
Science 368 (6498), eaaz5667, 2020
832020
Computer vision for high content screening
OZ Kraus, BJ Frey
Critical reviews in biochemistry and molecular biology 51 (2), 102-109, 2016
532016
Integrating images from multiple microscopy screens reveals diverse patterns of change in the subcellular localization of proteins
AX Lu, YT Chong, IS Hsu, B Strome, LF Handfield, O Kraus, BJ Andrews, ...
Elife 7, e31872, 2018
292018
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
202023
System and method for classifying and segmenting microscopy images with deep multiple instance learning
O Kraus, BA Jimmy, B Frey
US Patent 10,303,979, 2019
172019
Developing deep learning applications for life science and pharma industry
D Siegismund, V Tolkachev, S Heyse, B Sick, O Duerr, S Steigele
Drug research 68 (06), 305-310, 2018
102018
Rxrx3: Phenomics map of biology
MM Fay, O Kraus, M Victors, L Arumugam, K Vuggumudi, J Urbanik, ...
Biorxiv, 2023.02. 07.527350, 2023
92023
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
72023
Proteome-scale movements and compartment connectivity during the eukaryotic cell cycle
A Litsios, BT Grys, OZ Kraus, H Friesen, C Ross, MPD Masinas, ...
Cell 187 (6), 1490-1507. e21, 2024
22024
Development of a microfluidic platform to investigate effect of dissolved gases on small blood vessel function
OZ Kraus
University of Toronto (Canada), 2012
22012
Learning Biology Through Puzzle-solving: Unbiased Automatic Understanding of Microscopy Images with Self-supervised Learning
A Lu, O Kraus, S Cooper, A Moses
Microscopy and Microanalysis 26 (S2), 690-692, 2020
12020
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
2024
Single-cell imaging of protein dynamics of paralogs reveals mechanisms of gene retention
R Dandage, M Papkov, BM Greco, D Fishman, H Friesen, K Wang, ...
bioRxiv, 2023
2023
System and method for profiling antibodies with high-content screening (hcs)
S Cooper, O Kraus, M London, G Watson, A Nixon, E Koch, Č Dumoulin, ...
US Patent App. 17/918,882, 2023
2023
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