| 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 | 1150 | 2017 |
| Classifying and segmenting microscopy images with deep multiple instance learning OZ Kraus, JL Ba, BJ Frey Bioinformatics 32 (12), i52-i59, 2016 | 278 | 2016 |
| 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 | 264 | 2017 |
| 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 | 160 | 2017 |
| 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 | 83 | 2017 |
| Corrosion protection properties of inhibitor containing hybrid PEO-epoxy coating on magnesium J Yang, C Blawert, SV Lamaka, D Snihirova, X Lu, S Di, ML Zheludkevich Corrosion Science 140, 99-110, 2018 | 52 | 2018 |
| Computer vision for high content screening OZ Kraus, BJ Frey Critical reviews in biochemistry and molecular biology 51 (2), 102-109, 2016 | 40 | 2016 |
| 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 | 18 | 2019 |
| 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 | 13 | 2018 |
| Exploring whole-genome duplicate gene retention with complex genetic interaction analysis E Kuzmin, B VanderSluis, ANN Ba, W Wang, EN Koch, M Usaj, ... Science 368 (6498), 2020 | 11 | 2020 |
| 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 | 9 | 2019 |
| Development of a microfluidic platform to investigate effect of dissolved gases on small blood vessel function O Kraus | 1 | 2012 |
| 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 | | 2020 |
| 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 |
| A Global Analysis of Molecular Fluctuations Associated with Cell Cycle Progression in Saccharomyces cerevisiae BT Grys PQDT-Global, 2019 | | 2019 |
| Automating High Content Screening with Deep Learning OZ Kraus | | 2018 |
| Exploring the endocytic pathway by combining high-throughput genetics and high-content microscopy MM Usaj, M Usaj, O Kraus, M Zitnik, N Jin, ZY Lin, L Weisman, ... YEAST 32, S194-S195, 2015 | | 2015 |
