Prashnna K. Gyawali

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 30

Top Topics

Reproducing Kernel

Atrial Fibrillation

Medical Image Segmentation

False Discoveries

Top Venues

Publications

Jacob Thrasher, Alina Devkota, Ahmed Tafti, Binod Bhattarai, Prashnna K. Gyawali
TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis. CoRR (2024)
FNU Shivam, Megan Leight, Mary Kate Kelly, Claire Davis, Kelsey Clodfelter, Jacob Thrasher, Yenumula Reddy, Prashnna K. Gyawali
Segmentation of Maya hieroglyphs through fine-tuned foundation models. CoRR (2024)
Pranav Poudel, Prashant Shrestha, Sanskar Amgain, Yash Raj Shrestha, Prashnna K. Gyawali, Binod Bhattarai
CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities. CoRR (2024)
Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Tryphon Lambrou, Prashnna K. Gyawali, Binod Bhattarai
TTA-OOD: Test-time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision. CoRR (2024)
Chowdhury Mohammad Abid Rahman, Ghadendra Bhandari, Nasser M. Nasrabadi, Aldo H. Romero, Prashnna K. Gyawali
Enhancing material property prediction with ensemble deep graph convolutional networks. CoRR (2024)
Jacob Thrasher, Annahita Amireskandari, Prashnna K. Gyawali
Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques. CoRR (2024)
Sudarshan Regmi, Bibek Panthi, Sakar Dotel, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai
T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection. CoRR (2023)
Jacob Thrasher, Alina Devkota, Prasiddha Siwakotai, Rohit Chivukula, Pranav Poudel, Chaunbo Hu, Binod Bhattarai, Prashnna K. Gyawali
Multimodal Federated Learning in Healthcare: a review. CoRR (2023)
Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire, Linwei Wang
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. CoRR (2023)
Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire, Linwei Wang
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. MICCAI (2) (2023)
Prashnna K. Gyawali, Xiaoxia Liu, James Zou, Zihuai He
Ensembling improves stability and power of feature selection for deep learning models. MLCB (2022)
Prashnna K. Gyawali, Yann Le Guen, Xiaoxia Liu, Hua Tang, James Zou, Zihuai He
Improving genetic risk prediction across diverse population by disentangling ancestry representations. CoRR (2022)
Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. MICCAI (8) (2022)
Prashnna K. Gyawali, Jaideep Vitthal Murkute, Maryam Toloubidokhti, Xiajun Jiang, B. Milan Horácek, John L. Sapp, Linwei Wang
Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic Data. IEEE Trans. Biomed. Eng. 69 (2) (2022)
Prashnna K. Gyawali, Xiaoxia Liu, James Zou, Zihuai He
Ensembling improves stability and power of feature selection for deep learning models. CoRR (2022)
Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. CoRR (2022)
Aayush K. Chaudhary, Prashnna K. Gyawali, Linwei Wang, Jeff B. Pelz
Semi-Supervised Learning for Eye Image Segmentation. CoRR (2021)
Maryam Toloubidokhti, Prashnna K. Gyawali, Omar A. Gharbia, Xiajun Jiang, Jaume Coll-Font, Jake A. Bergquist, Brian Zenger, Wilson W. Good, Dana H. Brooks, Rob S. MacLeod, Linwei Wang
Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction. FIMH (2021)
Aakash Saboo, Prashnna K. Gyawali, Ankit Shukla, Manoj Sharma, Neeraj Jain, Linwei Wang
Latent-optimization based Disease-aware Image Editing for Medical Image Augmentation. BMVC (2021)
Aayush Kumar Chaudhary, Prashnna K. Gyawali, Linwei Wang, Jeff B. Pelz
Semi-Supervised Learning for Eye Image Segmentation. ETRA Short Papers (2021)
Sandesh Ghimire, Prashnna K. Gyawali, Linwei Wang
Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space. CoRR (2020)
Ryan Missel, Prashnna K. Gyawali, Jaideep Vitthal Murkute, Zhiyuan Li, Shijie Zhou, Amir AbdelWahab, Jason Davis, James Warren, John L. Sapp, Linwei Wang
A hybrid machine learning approach to localizing the origin of ventricular tachycardia using 12-lead electrocardiograms. Comput. Biol. Medicine 126 (2020)
Prashnna K. Gyawali, Rudra Saha, Linwei Wang, V. S. R. Veeravasarapu, Maneesh Singh
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models. CoRR (2019)
Prashnna K. Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, B. Milan Horácek, John L. Sapp, Linwei Wang
Improving Disentangled Representation Learning with the Beta Bernoulli Process. ICDM (2019)
Prashnna K. Gyawali, B. Milan Horácek, John L. Sapp, Linwei Wang
Learning Disentangled Representation from 12-Lead Electrograms: Application in Localizing the Origin of Ventricular Tachycardia. AAAI Workshops (2018)
Prashnna K. Gyawali, B. Milan Horácek, John L. Sapp, Linwei Wang
Learning disentangled representation from 12-lead electrograms: application in localizing the origin of Ventricular Tachycardia. CoRR (2018)
Prashnna K. Gyawali, Cameron Knight, Sandesh Ghimire, B. Milan Horácek, John L. Sapp, Linwei Wang
Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors. CoRR (2018)
Shuhang Chen, Prashnna K. Gyawali, Huafeng Liu, B. Milan Horácek, John L. Sapp, Linwei Wang
Disentangling inter-subject variations: Automatic localization of ventricular tachycardia origin from 12-lead electrocardiograms. ISBI (2017)
Prashnna K. Gyawali, Shuhang Chen, Huafeng Liu, B. Milan Horácek, John L. Sapp, Linwei Wang
Automatic Coordinate Prediction of the Exit of Ventricular Tachycardia from 12-Lead Electrocardiogram. CinC (2017)
Erin Coppola, Prashnna K. Gyawali, Nihar Vanjara, Daniel Giaime, Linwei Wang
Atrial Fibrillation Classification from a Short Single Lead ECG Recording Using Hierarchical Classifier. CinC (2017)