Prashnna K. Gyawali
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
7
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | Effect of Data Augmentation on Conformal Prediction for Diabetic Retinopathy. | Rizwan Ahamed, Annahita Amireskandari, Joel Palko, Carol Laxson, Binod Bhattarai, Prashnna K. Gyawali |
| 2025 | MICCAI | Addressing Bias in VLMs for Glaucoma Detection Without Protected Attribute Supervision. | Ahsan Habib Akash, Greg Murray, Annahita Amireskandari, Joel Palko, Carol Laxson, Binod Bhattarai, Prashnna K. Gyawali |
| 2025 | MICCAI | NERO: Explainable Out-of-Distribution Detection with Neuron-Level Relevance in Gastrointestinal Imaging. | Anju Chhetri, Jari Korhonen, Prashnna K. Gyawali, Binod Bhattarai |
| 2024 | CVPR | T2FNorm: Train-time Feature Normalization for OOD Detection in Image Classification. | Sudarshan Regmi, Bibek Panthi, Sakar Dotel, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai |
| 2024 | CVPR | ReweightOOD: Loss Reweighting for Distance-based OOD Detection. | Sudarshan Regmi, Bibek Panthi, Yifei Ming, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai |
| 2024 | ICMLA | Multi-Task Learning for Material Property Prediction. | Chowdhury Mohammad Abid Rahman, Nishat B. Alam, Amr S. El-Wakeel, JuHyeong Ryu, Prashnna K. Gyawali |
| 2024 | ICMLA | Segmentation of Maya Hieroglyphs through Fine-Tuned Foundation Models. | FNU Shivam, Megan Leight, Mary Kate Kelly, Claire Davis, Kelsey Clodfelter, Jacob Thrasher, Chowdhury Mohammad Abid Rahman, Yenumula Reddy, Prashnna K. Gyawali |
| 2024 | MICCAI | TTA-OOD: Test-Time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision. | Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Tryphon Lambrou, Prashnna K. Gyawali, Binod Bhattarai |
| 2024 | MICCAI | CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities. | Pranav Poudel, Prashant Shrestha, Sanskar Amgain, Yash Raj Shrestha, Prashnna K. Gyawali, Binod Bhattarai |
| 2024 | MICCAI | Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques. | Jacob Thrasher, Annahita Amireskandari, Prashnna K. Gyawali |
| 2024 | MICCAI | TE-SSL: Time and Event-Aware Self Supervised Learning for Alzheimer's Disease Progression Analysis. | Jacob Thrasher, Alina Devkota, Ahmad P. Tafti, Binod Bhattarai, Prashnna K. Gyawali |
| 2023 | MICCAI | Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. | Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire, Linwei Wang |
| 2022 | MICCAI | Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. | Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang |
| 2021 | BMVC | Latent-optimization based Disease-aware Image Editing for Medical Image Augmentation. | Aakash Saboo, Prashnna K. Gyawali, Ankit Shukla, Manoj Sharma, Neeraj Jain, Linwei Wang |
| 2021 | ETRA | Semi-Supervised Learning for Eye Image Segmentation. | Aayush Kumar Chaudhary, Prashnna K. Gyawali, Linwei Wang, Jeff B. Pelz |
| 2019 | ICDM | Improving Disentangled Representation Learning with the Beta Bernoulli Process. | Prashnna K. Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, B. Milan Horcek, John L. Sapp, Linwei Wang |
| 2018 | AAAI | Learning Disentangled Representation from 12-Lead Electrograms: Application in Localizing the Origin of Ventricular Tachycardia. | Prashnna K. Gyawali, B. Milan Horcek, John L. Sapp, Linwei Wang |