| Semi-supervised medical image classification with global latent mixing PK Gyawali, S Ghimire, P Bajracharya, Z Li, L Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 51 | 2020 |
| Semi-supervised learning by disentangling and self-ensembling over stochastic latent space PK Gyawali, Z Li, S Ghimire, L Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 30 | 2019 |
| Generative modeling and inverse imaging of cardiac transmembrane potential S Ghimire, J Dhamala, PK Gyawali, JL Sapp, M Horacek, L Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 29 | 2018 |
| High-dimensional bayesian optimization of personalized cardiac model parameters via an embedded generative model J Dhamala, S Ghimire, JL Sapp, BM Horáček, L Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 21 | 2018 |
| Bayesian optimization on large graphs via a graph convolutional generative model: Application in cardiac model personalization J Dhamala, S Ghimire, JL Sapp, BM Horáček, L Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 17 | 2019 |
| Noninvasive reconstruction of transmural transmembrane potential with simultaneous estimation of prior model error S Ghimire, JL Sapp, BM Horáček, L Wang IEEE transactions on medical imaging 38 (11), 2582-2595, 2019 | 16 | 2019 |
| Improving disentangled representation learning with the beta bernoulli process P Gyawali, Z Li, C Knight, S Ghimire, BM Horacek, J Sapp, L Wang 2019 IEEE International Conference on Data Mining (ICDM), 1078-1083, 2019 | 13 | 2019 |
| Improving generalization of deep networks for inverse reconstruction of image sequences S Ghimire, PK Gyawali, J Dhamala, JL Sapp, M Horacek, L Wang Information Processing in Medical Imaging: 26th International Conference …, 2019 | 13 | 2019 |
| Learning geometry-dependent and physics-based inverse image reconstruction X Jiang, S Ghimire, J Dhamala, Z Li, PK Gyawali, L Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 11 | 2020 |
| Overcoming barriers to quantification and comparison of electrocardiographic imaging methods: A community-based approach S Ghimire, J Dhamala, J Coll-Font, JD Tate, MS Guillem, DH Brooks, ... 2017 Computing in Cardiology (CinC), 1-4, 2017 | 10 | 2017 |
| Reliable estimation of kl divergence using a discriminator in reproducing kernel hilbert space S Ghimire, A Masoomi, J Dy Advances in Neural Information Processing Systems 34, 10221-10233, 2021 | 8 | 2021 |
| Learning invariant feature representation to improve generalization across chest x-ray datasets S Ghimire, S Kashyap, JT Wu, A Karargyris, M Moradi Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020 | 8 | 2020 |
| A variational approach to sparse model error estimation in cardiac electrophysiological imaging S Ghimire, JL Sapp, M Horacek, L Wang Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017 | 8 | 2017 |
| Geometry of score based generative models S Ghimire, J Liu, A Comas, D Hill, A Masoomi, O Camps, J Dy arXiv preprint arXiv:2302.04411, 2023 | 7 | 2023 |
| Enhancing mixup-based semi-supervised learningwith explicit lipschitz regularization P Gyawali, S Ghimire, L Wang 2020 IEEE International Conference on Data Mining (ICDM), 1046-1051, 2020 | 7 | 2020 |
| Deep generative model and analysis of cardiac transmembrane potential S Ghimire, L Wang 2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018 | 6 | 2018 |
| Explanation uncertainty with decision boundary awareness D Hill, A Masoomi, S Ghimire, M Torop, J Dy | 5 | 2022 |
| Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space S Ghimire, PK Gyawali, L Wang arXiv preprint arXiv:2002.11187, 2020 | 5 | 2020 |
| Machine learning for health (ML4H) workshop at NeurIPS 2018 N Antropova, AL Beam, BK Beaulieu-Jones, I Chen, C Chivers, A Dalca, ... arXiv preprint arXiv:1811.07216, 2018 | 5 | 2018 |
| Inferring relational potentials in interacting systems A Comas, Y Du, CF Lopez, S Ghimire, M Sznaier, JB Tenenbaum, ... International Conference on Machine Learning, 6364-6383, 2023 | 3 | 2023 |
Linwei WangRochester Institute of Technology在 rit.edu 的电子邮件经过验证
