Prashnna K. Gyawali
Orcid: 0000-0003-1201-6993
According to our database1,
Prashnna K. Gyawali
authored at least 42 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Is Generative AI the Next Tactical Cyber Weapon For Threat Actors? Unforeseen Implications of AI Generated Cyber Attacks.
CoRR, 2024
Enhancing material property prediction with ensemble deep graph convolutional networks.
CoRR, 2024
TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis.
CoRR, 2024
TE-SSL: Time and Event-Aware Self Supervised Learning for Alzheimer's Disease Progression Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques.
Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024
CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
TTA-OOD: Test-Time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision.
Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024
2023
CoRR, 2023
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic Data.
IEEE Trans. Biomed. Eng., 2022
Improving genetic risk prediction across diverse population by disentangling ancestry representations.
CoRR, 2022
Ensembling improves stability and power of feature selection for deep learning models.
Proceedings of the Machine Learning in Computational Biology, 21-22 November 2022, Online, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021
Proceedings of the 2021 Symposium on Eye Tracking Research and Applications, 2021
Latent-optimization based Disease-aware Image Editing for Medical Image Augmentation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Sequential Factorized Autoencoder for Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms.
IEEE Trans. Biomed. Eng., 2020
Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space.
CoRR, 2020
A hybrid machine learning approach to localizing the origin of ventricular tachycardia using 12-lead electrocardiograms.
Comput. Biol. Medicine, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
2019
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models.
CoRR, 2019
Semi-supervised Learning by Disentangling and Self-ensembling over Stochastic Latent Space.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences.
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
2018
Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors.
CoRR, 2018
Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential.
CoRR, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Learning Disentangled Representation from 12-Lead Electrograms: Application in Localizing the Origin of Ventricular Tachycardia.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Disentangling inter-subject variations: Automatic localization of ventricular tachycardia origin from 12-lead electrocardiograms.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Automatic Coordinate Prediction of the Exit of Ventricular Tachycardia from 12-Lead Electrocardiogram.
Proceedings of the Computing in Cardiology, 2017
Atrial Fibrillation Classification from a Short Single Lead ECG Recording Using Hierarchical Classifier.
Proceedings of the Computing in Cardiology, 2017
2016
2015
Proceedings of the 9th International Conference on Software, 2015