| 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 | 52 | 2020 |
| Embedding high-dimensional bayesian optimization via generative modeling: parameter personalization of cardiac electrophysiological models J Dhamala, P Bajracharya, HJ Arevalo, JL Sapp, BM Horácek, KC Wu, ... Medical image analysis 62, 101670, 2020 | 26 | 2020 |
| Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning MS Zaman, J Dhamala, P Bajracharya, JL Sapp, BM Horácek, KC Wu, ... Frontiers in Physiology 12, 740306, 2021 | 9 | 2021 |
| Feasibility study on active learning of smart surrogates for scientific simulations P Bajracharya, JQ Toledo-Marín, G Fox, S Jha, L Wang arXiv preprint arXiv:2407.07674, 2024 | 1 | 2024 |
| Parameter Estimation for Personalized Cardiac Models via Active Learning P Bajracharya, AJ Prassl, K Gillette, G Plank, L Wang 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
| Indoor Odometry and Point Cloud Mapping PS Ligal, B Acharya, P Bajracharya, P Shrestha, P Pokharel, SK Ghimire | | 2017 |
| Active learning based Cardiac Tissue Parameter Estimation for Personalized model exploiting predictive uncertainty P Bajracharya, L Wang | | |
