| Deep learning based large scale handwritten Devanagari character recognition S Acharya, AK Pant, PK Gyawali 2015 9th International conference on software, knowledge, information …, 2015 | 230 | 2015 |
| Progressive learning and disentanglement of hierarchical representations Z Li, JV Murkute, PK Gyawali, L Wang International Conference on Learning Representations (ICLR), 2020 | 51 | 2020 |
| 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 |
| A deep-learning algorithm to classify skin lesions from mpox virus infection AH Thieme, Y Zheng, G Machiraju, C Sadee, M Mittermaier, M Gertler, ... Nature medicine 29 (3), 738-747, 2023 | 45 | 2023 |
| Sequential factorized autoencoder for localizing the origin of ventricular activation from 12-lead electrocardiograms PK Gyawali, BM Horacek, JL Sapp, L Wang IEEE Transactions on Biomedical Engineering 67 (5), 1505-1516, 2019 | 34 | 2019 |
| 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 |
| Atrial Fibrillation Classification from a Short Single Lead ECG Recording Using Hierarchical Classifier EE Coppola, PK Gyawali, N Vanjara, D Giaime, L Wang Computing in Cardiology 2017 44, 2017 | 22 | 2017 |
| A hybrid machine learning approach to localizing the origin of ventricular tachycardia using 12-lead electrocardiograms R Missel, PK Gyawali, JV Murkute, Z Li, S Zhou, A AbdelWahab, J Davis, ... Computers in biology and medicine 126, 104013, 2020 | 19 | 2020 |
| 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 |
| Disentangling inter-subject variations: Automatic localization of ventricular tachycardia origin from 12-lead electrocardiograms S Chen, PK Gyawali, H Liu, BM Horacek, JL Sapp, L Wang 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 13 | 2017 |
| Automatic Nepali number plate recognition with support vector machines AK Pant, PK Gyawali, S Acharya Proceedings of the 9th international conference on software, knowledge …, 2015 | 13 | 2015 |
| Learning to disentangle inter-subject anatomical variations in electrocardiographic data PK Gyawali, JV Murkute, M Toloubidokhti, X Jiang, BM Horacek, JL Sapp, ... IEEE Transactions on Biomedical Engineering 69 (2), 860-870, 2021 | 11 | 2021 |
| Semi-supervised learning for eye image segmentation AK Chaudhary, PK Gyawali, L Wang, JB Pelz ACM symposium on eye tracking research and applications, 1-7, 2021 | 11 | 2021 |
| 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 |
| 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 | 10* | 2020 |
| GhostKnockoff inference empowers identification of putative causal variants in genome-wide association studies Z He, L Liu, ME Belloy, Y Le Guen, A Sossin, X Liu, X Qi, S Ma, ... Nature communications 13 (1), 7209, 2022 | 9 | 2022 |
| Vela pulsar: single pulses analysis with machine learning techniques CO Lousto, R Missel, H Prajapati, V Sosa Fiscella, FGL Armengol, ... Monthly Notices of the Royal Astronomical Society 509 (4), 5790-5808, 2022 | 9 | 2022 |
| Improving genetic risk prediction across diverse population by disentangling ancestry representations PK Gyawali, Y Le Guen, X Liu, ME Belloy, H Tang, J Zou, Z He Communications Biology 6 (1), 964, 2023 | 8 | 2023 |
Linwei WangRochester Institute of Technology在 rit.edu 的电子邮件经过验证
