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Oren Kraus
Oren Kraus
Senior Machine Learning Scientist, Recursion
Verified email at mail.utoronto.ca
Title
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
28792017
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
6132017
Classifying and segmenting microscopy images with deep multiple instance learning
OZ Kraus, JL Ba, BJ Frey
Bioinformatics 32 (12), i52-i59, 2016
4762016
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
2902017
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
1652017
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
922019
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
822020
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
282018
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
172023
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
82023
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
32023
Development of a microfluidic platform to investigate effect of dissolved gases on small blood vessel function
OZ Kraus
University of Toronto (Canada), 2012
22012
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
12024
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
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
DISSECTING FIBROBLAST-MACROPHAGE COMMUNICATION IN THE FIBROTIC NICHE
R Schuster, O Kraus, S Cooper, B Hinz
Wound Repair and Regeneration 28 (2), A4-A4, 2020
2020
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