All Publications

FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning
Computer Vision and Pattern Recognition (CVPR) Findings
Alina Devkota, Jacob Thrasher, Binod Bhattarai, Prashnna Gyawali
🌐 Project Website

Supervised Pretraining for Material Property Prediction
Nature Communications Materials
Chowdhury Mohammad Abid Rahman, Aldo H. Romero, Prashnna Gyawali
📎 arXiv preprint 🖥️ code

Addressing Bias in VLMs for Glaucoma Detection Without Protected Attribute Supervision
Data Engineering in Medical Imaging @ MICCAI
Ahsan Habib Akash, Greg Murray, Annahita Amireskandari, Joel Palko, Carol Laxson, Binod Bhattarai, Prashnna Gyawali
📎 arXiv preprint

AutoTA: A Dynamic Intent-Based Virtual Teaching Assistant for Students Using Open Source LLMs
IEEE Access
Rajashree Dahal, Greg Murray, Robin Chataut, Mohamed Hefeida, Anurag Srivastava, Prashnna Gyawali
📎 Open Access

CURE: Centroid-guided Unsupervised Representation Erasure for Facial Recognition Systems
IEEE International Joint Conference on Biometrics
FNU Shivam, Nima Najafzadeh, Yenumula Reddy, Prashnna Gyawali
 

Federated Foundation Models for GI Endoscopy Images
under review
Alina Devkota, Annahita Amireskandari, Joel Palko, Shyam Thakkar, Donald Adjeroh, Xiajun Jiang, Binod Bhattarai, Prashnna Gyawali
📎arXiv link

AI analysis for ejection fraction estimation from 12-lead ECG
Nature Scientific Reports
Alina Devkota, Rukesh Prajapati, Amr El-Wakeel, Donald Adjeroh, Brijesh Patel, Prashnna Gyawali
📎Open Access

Enhancing material property prediction with ensemble deep graph convolutional networks
Frontiers in Materials: Computational Materials Science
Chowdhury Mohammad Abid Rahman, Ghadendra Bhandari, Nasser Nasrabadi, Aldo Romero, Prashnna Gyawali
📎arXiv preprint

Multi-task learning for material property prediction
The International Conference on Machine Learning and Applications (ICMLA)
Chowdhury Mohammad Abid Rahman, Nishat Binte Alam, Amr El-Wakeel, JuHyeong Ryu, Prashnna Gyawali
📎arXiv preprint

Segmentation of Maya Hieroglyphs through fine-tuned foundation models
The International Conference on Machine Learning and Applications (ICMLA)
FNU Shivam, Megan Leight, Mary Kate Kelly, Claire Davis, Kelsey Clodfeltler, Jacob Thrasher, Yanumula Reddy, Prashnna Gyawali
📎arXiv preprint

Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques
Data Engineering in Medical Imaging at MICCAI
Jacob Thrasher, Annahita Amireskandari, Prashnna Gyawali
📎arXiv preprint 🖥️ code

TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis
Medical Image Computing and Computer Assisted Intervention
Jacob Thrasher, Alina Devkota, Ahmad Tafti, Binod Bhattarai, Prashnna Gyawali
📎arXiv preprint 🖥️ code

Multimodal Federated Learning in Healthcare: A review
Journal of Healthcare Informatics Research
Jacob Thrasher, Alina Devkota, Prasiddha Siwakoti, Rohit Chivukula, Pranav Poudel, Chaunbo Hu, Binod Bhattarai, Prashnna Gyawali
📎arXiv preprint