| Voxelmorph: a learning framework for deformable medical image registration G Balakrishnan, A Zhao, MR Sabuncu, J Guttag, AV Dalca IEEE transactions on medical imaging 38 (8), 1788-1800, 2019 | 1567 | 2019 |
| Detecting pulse from head motions in video G Balakrishnan, F Durand, J Guttag Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 807 | 2013 |
| An unsupervised learning model for deformable medical image registration G Balakrishnan, A Zhao, MR Sabuncu, J Guttag, AV Dalca Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 731 | 2018 |
| Data augmentation using learned transformations for one-shot medical image segmentation A Zhao, G Balakrishnan, F Durand, JV Guttag, AV Dalca Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 501 | 2019 |
| Unsupervised learning for fast probabilistic diffeomorphic registration AV Dalca, G Balakrishnan, J Guttag, MR Sabuncu Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 419 | 2018 |
| Synthesizing images of humans in unseen poses G Balakrishnan, A Zhao, AV Dalca, F Durand, J Guttag Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 337 | 2018 |
| Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces AV Dalca, G Balakrishnan, J Guttag, MR Sabuncu Medical image analysis 57, 226-236, 2019 | 317 | 2019 |
| Better aggregation in test-time augmentation D Shanmugam, D Blalock, G Balakrishnan, J Guttag Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 119 | 2021 |
| Towards causal benchmarking of bias in face analysis algorithms G Balakrishnan, Y Xiong, W Xia, P Perona Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August …, 2021 | 83 | 2021 |
| When and why test-time augmentation works D Shanmugam, D Blalock, G Balakrishnan, J Guttag arXiv preprint arXiv:2011.11156 1 (3), 4, 2020 | 60 | 2020 |
| Wire: Wavelet implicit neural representations V Saragadam, D LeJeune, J Tan, G Balakrishnan, A Veeraraghavan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 55 | 2023 |
| Pulse detection from head motions in video G Balakrishnan, JV Guttag, F Durand US Patent 10,638,942, 2020 | 53 | 2020 |
| Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers D Zietlow, M Lohaus, G Balakrishnan, M Kleindessner, F Locatello, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 40 | 2022 |
| Miner: Multiscale implicit neural representation V Saragadam, J Tan, G Balakrishnan, RG Baraniuk, A Veeraraghavan European Conference on Computer Vision, 318-333, 2022 | 38 | 2022 |
| A video-based method for automatically rating ataxia R Jaroensri, A Zhao, G Balakrishnan, D Lo, JD Schmahmann, F Durand, ... Machine Learning for Healthcare Conference, 204-216, 2017 | 18 | 2017 |
| Scalable customization of atrial fibrillation detection in cardiac monitoring devices: Increasing detection accuracy through personalized monitoring in large patient populations KJ Jang, G Balakrishnan, Z Syed, N Verma 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 18 | 2011 |
| Scalable personalization of long-term physiological monitoring: Active learning methodologies for epileptic seizure onset detection G Balakrishnan, Z Syed Artificial Intelligence and Statistics, 73-81, 2012 | 17 | 2012 |
| Visual deprojection: Probabilistic recovery of collapsed dimensions G Balakrishnan, AV Dalca, A Zhao, JV Guttag, F Durand, WT Freeman Proceedings of the IEEE/CVF International Conference on Computer Vision, 171-180, 2019 | 14 | 2019 |
| Splinecam: Exact visualization and characterization of deep network geometry and decision boundaries AI Humayun, R Balestriero, G Balakrishnan, RG Baraniuk Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| Video diff: Highlighting differences between similar actions in videos G Balakrishnan, F Durand, J Guttag ACM Transactions on Graphics (TOG) 34 (6), 1-10, 2015 | 11 | 2015 |
John GuttagVerified email at mit.edu
