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Prashnna K Gyawali
Prashnna K Gyawali
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Deep learning based large scale handwritten Devanagari character recognition
S Acharya, AK Pant, PK Gyawali
2015 9th International conference on software, knowledge, information …, 2015
1632015
Semi-supervised medical image classification with global latent mixing
PK Gyawali, S Ghimire, P Bajracharya, Z Li, L Wang
International Conference on Medical Image Computing and Computer-Assisted …, 2020
252020
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
222019
Progressive learning and disentanglement of hierarchical representations
Z Li, JV Murkute, PK Gyawali, L Wang
International Conference on Learning Representations (ICLR), 2020
192020
Generative modeling and inverse imaging of cardiac transmembrane potential
S Ghimire, J Dhamala, PK Gyawali, JL Sapp, M Horacek, L Wang
International Conference on Medical Image Computing and Computer-Assisted …, 2018
192018
Semi-supervised learning by disentangling and self-ensembling over stochastic latent space
PK Gyawali, Z Li, S Ghimire, L Wang
International Conference on Medical Image Computing and Computer-Assisted …, 2019
182019
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
132017
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
122017
Improving generalization of deep networks for inverse reconstruction of image sequences
S Ghimire, PK Gyawali, J Dhamala, JL Sapp, M Horacek, L Wang
International Conference on Information Processing in Medical Imaging, 153-166, 2019
102019
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
82019
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
62015
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
52021
Learning geometry-dependent and physics-based inverse image reconstruction
X Jiang, S Ghimire, J Dhamala, Z Li, PK Gyawali, L Wang
International Conference on Medical Image Computing and Computer-Assisted …, 2020
52020
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
42021
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
4*2020
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
42020
Automatic coordinate prediction of the exit of ventricular tachycardia from 12-lead electrocardiogram
PK Gyawali, S Chen, H Liu, BM Horacek, JL Sapp, L Wang
2017 Computing in Cardiology (CinC), 1-4, 2017
42017
Reliable estimation of kullback-leibler divergence by controlling discriminator complexity in the reproducing kernel hilbert space
S Ghimire, PK Gyawali, L Wang
32020
A Final Year Project Report on Vehicle Over Speed Detection and Recognition
PK Gyawali
Doctoral dissertation, Tribhuvan University, Kirtipur, Nepal, 2014
32014
Improving genetic risk prediction across diverse population by disentangling ancestry representations
PK Gyawali, YL Guen, X Liu, H Tang, J Zou, Z He
arXiv preprint arXiv:2205.04673, 2022
22022
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Articles 1–20