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| Barlow twins: Self-supervised learning via redundancy reduction J Zbontar, L Jing, I Misra, Y LeCun, S Deny International conference on machine learning, 12310-12320, 2021 | 2681 | 2021 |
| Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches J Žbontar, Y LeCun The Journal of Machine Learning Research 17 (65), 1-32, 2016 | 1653 | 2016 |
| Computing the stereo matching cost with a convolutional neural network J Zbontar, Y LeCun Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 982 | 2015 |
| fastMRI: An Open Dataset and Benchmarks for Accelerated MRI J Zbontar, F Knoll, A Sriram, MJ Muckley, M Bruno, A Defazio, M Parente, ... arXiv preprint arXiv:1811.08839, 2018 | 970 | 2018 |
| fastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning F Knoll, J Zbontar, A Sriram, MJ Muckley, M Bruno, A Defazio, M Parente, ... Radiology: Artificial Intelligence 2 (1), e190007, 2020 | 426 | 2020 |
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| Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge F Knoll, T Murrell, A Sriram, N Yakubova, J Zbontar, M Rabbat, A Defazio, ... Magnetic resonance in medicine 84 (6), 3054-3070, 2020 | 240 | 2020 |
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| GrappaNet: Combining parallel imaging with deep learning for multi-coil MRI reconstruction A Sriram, J Zbontar, T Murrell, CL Zitnick, A Defazio, DK Sodickson Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 127 | 2020 |
| Improving the speed of MRI with artificial intelligence PM Johnson, MP Recht, F Knoll Seminars in musculoskeletal radiology 24 (01), 012-020, 2020 | 77 | 2020 |
| Deep learning reconstruction enables prospectively accelerated clinical knee MRI PM Johnson, DJ Lin, J Zbontar, CL Zitnick, A Sriram, M Muckley, JS Babb, ... Radiology 307 (2), e220425, 2023 | 69 | 2023 |
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| Simulating single-coil MRI from the responses of multiple coils M Tygert, J Zbontar Communications in Applied Mathematics and Computational Science 15 (2), 115-127, 2020 | 24 | 2020 |
| Fast incremental learning for off-road robot navigation A Provodin, L Torabi, B Flepp, Y LeCun, M Sergio, LD Jackel, U Muller, ... arXiv preprint arXiv:1606.08057, 2016 | 10 | 2016 |
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| Compressed sensing with a Jackknife, a bootstrap, and visualization A Defazio, M Tygert, R Ward, J Zbontar J Data Sci Stat Vis 2 (4), 2022 | 4 | 2022 |
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| Team ULjubljana’s Solution to the JRS 2012 Data Mining Competition J Žbontar, M Zitnik, M Zidar, G Majcen, M Potocnik, B Zupan Rough Sets and Current Trends in Computing, 471--478, 2012 | 3 | 2012 |
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York Universitycs.nyu.edu의 이메일 확인됨