| Declutr: Deep contrastive learning for unsupervised textual representations J Giorgi, O Nitski, B Wang, G Bader arXiv preprint arXiv:2006.03659, 2020 | 453 | 2020 |
| Long-term mortality risk stratification of liver transplant recipients: real-time application of deep learning algorithms on longitudinal data O Nitski, A Azhie, FA Qazi-Arisar, X Wang, S Ma, L Lilly, KD Watt, ... The Lancet Digital Health 3 (5), e295-e305, 2021 | 62 | 2021 |
| CDF-Net: Cross-domain fusion network for accelerated MRI reconstruction O Nitski, S Nag, C McIntosh, B Wang International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 14 | 2020 |
| Nemotron-4 15B Technical Report J Parmar, S Prabhumoye, J Jennings, M Patwary, S Subramanian, D Su, ... arXiv preprint arXiv:2402.16819, 2024 | | 2024 |
| InsighTx: A Machine-Learning Model That Accurately Predicts Transplant Outcomes During Ex Vivo Lung Perfusion AT Sage, AA Shamandy, SH Mousavi, BT Chao, O Nitski, X Zhou, ... The Journal of Heart and Lung Transplantation 41 (4), S15, 2022 | | 2022 |
