Artificial intelligence in surgery: promises and perils DA Hashimoto, G Rosman, D Rus, OR Meireles Annals of surgery 268 (1), 70-76, 2018 | 928 | 2018 |
Artificial intelligence in anesthesiology: current techniques, clinical applications, and limitations DA Hashimoto, E Witkowski, L Gao, O Meireles, G Rosman Anesthesiology 132 (2), 379-394, 2020 | 343 | 2020 |
Computer vision analysis of intraoperative video: automated recognition of operative steps in laparoscopic sleeve gastrectomy DA Hashimoto, G Rosman, ER Witkowski, C Stafford, ... Annals of surgery 270 (3), 414-421, 2019 | 228 | 2019 |
Duckietown: an open, inexpensive and flexible platform for autonomy education and research L Paull, J Tani, H Ahn, J Alonso-Mora, L Carlone, M Cap, YF Chen, ... 2017 IEEE International Conference on Robotics and Automation (ICRA), 1497-1504, 2017 | 227 | 2017 |
Variational end-to-end navigation and localization A Amini, G Rosman, S Karaman, D Rus 2019 International Conference on Robotics and Automation (ICRA), 8958-8964, 2019 | 140 | 2019 |
Rgbd-fusion: Real-time high precision depth recovery R Or-El, G Rosman, A Wetzler, R Kimmel, AM Bruckstein Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 130 | 2015 |
Computer vision in surgery TM Ward, P Mascagni, Y Ban, G Rosman, N Padoy, O Meireles, ... Surgery 169 (5), 1253-1256, 2021 | 116 | 2021 |
Uncertainty-aware driver trajectory prediction at urban intersections X Huang, SG McGill, BC Williams, L Fletcher, G Rosman 2019 International conference on robotics and automation (ICRA), 9718-9724, 2019 | 90 | 2019 |
Patch‐collaborative spectral point‐cloud denoising G Rosman, A Dubrovina, R Kimmel Computer Graphics Forum 32 (8), 1-12, 2013 | 88 | 2013 |
Variational autoencoder for end-to-end control of autonomous driving with novelty detection and training de-biasing A Amini, W Schwarting, G Rosman, B Araki, S Karaman, D Rus 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 86 | 2018 |
A mixture of manhattan frames: Beyond the manhattan world J Straub, G Rosman, O Freifeld, JJ Leonard, JW Fisher Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 85 | 2014 |
DiversityGAN: Diversity-aware vehicle motion prediction via latent semantic sampling X Huang, SG McGill, JA DeCastro, L Fletcher, JJ Leonard, BC Williams, ... IEEE Robotics and Automation Letters 5 (4), 5089-5096, 2020 | 82* | 2020 |
Nonlinear dimensionality reduction by topologically constrained isometric embedding G Rosman, MM Bronstein, AM Bronstein, R Kimmel International Journal of Computer Vision 89 (1), 56-68, 2010 | 80 | 2010 |
Machine learning and coresets for automated real-time video segmentation of laparoscopic and robot-assisted surgery M Volkov, DA Hashimoto, G Rosman, OR Meireles, D Rus 2017 IEEE international conference on robotics and automation (ICRA), 754-759, 2017 | 70 | 2017 |
Denoising medical images E Bar-Aviv, Z Devir, E Dahan, T Kenig, G Rosman US Patent 8,605,970, 2013 | 69 | 2013 |
Reinforcement learning based control of imitative policies for near-accident driving Z Cao, E Bıyık, WZ Wang, A Raventos, A Gaidon, G Rosman, D Sadigh arXiv preprint arXiv:2007.00178, 2020 | 64 | 2020 |
The Manhattan frame model—Manhattan world inference in the space of surface normals J Straub, O Freifeld, G Rosman, JJ Leonard, JW Fisher IEEE transactions on pattern analysis and machine intelligence 40 (1), 235-249, 2017 | 64 | 2017 |
Automated operative phase identification in peroral endoscopic myotomy TM Ward, DA Hashimoto, Y Ban, DW Rattner, H Inoue, KD Lillemoe, ... Surgical endoscopy 35, 4008-4015, 2021 | 60 | 2021 |
Noise reduction of images E Bar-Aviv, E Dahan, Z Devir, T Kenig, G Rosman US Patent 8,582,916, 2013 | 59 | 2013 |
Coresets for k-segmentation of streaming data G Rosman, M Volkov, D Feldman, JW Fisher III, D Rus Advances in neural information processing systems 27, 2014 | 55 | 2014 |