Prashnna K. Gyawali

63 papers A* 1A 1B 1C 3Journal 32Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Data Engineering in Medical Imaging - Third MICCAI Workshop, DEMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings DEMI@MICCAI Binod Bhattarai, Anita Rau, Razvan Caramalau, Annika Reinke, Anh Nguyen, Ana Namburete, Prashnna K. Gyawali, Danail Stoyanov
2026	J	`jnl`	FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning. CoRR Alina Devkota, Jacob Thrasher, Donald Adjeroh, Binod Bhattarai, Prashnna K. Gyawali
2026	J	`jnl`	Med-MMFL: A Multimodal Federated Learning Benchmark in Healthcare. CoRR Aavash Chhetri, Bibek Niroula, Pratik Shrestha, Yash Raj Shrestha, Lesley A. Anderson, Prashnna K. Gyawali, Loris Bazzani, Binod Bhattarai
2025	—	`conf`	Addressing Bias in VLMs for Glaucoma Detection Without Protected Attribute Supervision. DEMI@MICCAI Ahsan Habib Akash, Greg Murray, Annahita Amireskandari, Joel Palko, Carol Laxson, Binod Bhattarai, Prashnna K. Gyawali
2025	J	`jnl`	Addressing Bias in VLMs for Glaucoma Detection Without Protected Attribute Supervision. CoRR Ahsan Habib Akash, Greg Murray, Annahita Amireskandari, Joel Palko, Carol Laxson, Binod Bhattarai, Prashnna K. Gyawali
2025	J	`jnl`	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 K. Gyawali
2025	B	`conf`	CURE: Centroid-guided Unsupervised Representation Erasure for Facial Recognition Systems. IJCB FNU Shivam, Nima Najafzadeh, Yenumula Reddy, Prashnna K. Gyawali
2025	J	`jnl`	CURE: Centroid-guided Unsupervised Representation Erasure for Facial Recognition Systems. CoRR FNU Shivam, Nima Najafzadeh, Yenumula Reddy, Prashnna K. Gyawali
2025	—	`ed.`	Data Engineering in Medical Imaging - Second MICCAI Workshop, DEMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings DEMI@MICCAI Binod Bhattarai, Sharib Ali, Anita Rau, Razvan Caramalau, Anh Nguyen, Prashnna K. Gyawali, Ana I. L. Namburete, Danail Stoyanov
2025	—	`conf`	Effect of Data Augmentation on Conformal Prediction for Diabetic Retinopathy. DEMI@MICCAI Rizwan Ahamed, Annahita Amireskandari, Joel Palko, Carol Laxson, Binod Bhattarai, Prashnna K. Gyawali
2025	J	`jnl`	Effect of Data Augmentation on Conformal Prediction for Diabetic Retinopathy. CoRR Rizwan Ahamed, Annahita Amireskandari, Joel Palko, Carol Laxson, Binod Bhattarai, Prashnna K. Gyawali
2025	C	`conf`	Explainable AI for Interpretable and Model-Agnostic Energy Consumption Prediction. IAS Cosmas Ifeanyi Nwakanma, Love Allen Chijioke Ahakonye, Judith Nkechinyere Njoku, Prashnna K. Gyawali, Anurag K. Srivastava
2025	J	`jnl`	Federated Foundation Model for GI Endoscopy Images. CoRR Alina Devkota, Annahita Amireskandari, Joel Palko, Shyam Thakkar, Donald Adjeroh, Xiajun Jiang, Binod Bhattarai, Prashnna K. Gyawali
2025	J	`jnl`	Local K-Similarity Constraint for Federated Learning with Label Noise. CoRR Sanskar Amgain, Prashant Shrestha, Bidur Khanal, Alina Devkota, Yash Raj Shrestha, Seungryul Baek, Prashnna K. Gyawali, Binod Bhattarai
2025	J	`jnl`	Multimodal Federated Learning With Missing Modalities through Feature Imputation Network. CoRR Pranav Poudel, Aavash Chhetri, Prashnna K. Gyawali, Georgios Leontidis, Binod Bhattarai
2025	—	`conf`	Multimodal Federated Learning with Missing Modalities Through Feature Imputation Network. MIUA (1) Pranav Poudel, Aavash Chhetri, Prashnna K. Gyawali, Georgios Leontidis, Binod Bhattarai
2025	—	`conf`	NERO: Explainable Out-of-Distribution Detection with Neuron-Level Relevance in Gastrointestinal Imaging. MICCAI (10) Anju Chhetri, Jari Korhonen, Prashnna K. Gyawali, Binod Bhattarai
2025	J	`jnl`	NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance. CoRR Anju Chhetri, Jari Korhonen, Prashnna K. Gyawali, Binod Bhattarai
2025	—	`conf`	Out-of-Distribution Detection in Gastrointestinal Vision by Estimating Nearest Centroid Distance Deficit. MIUA (2) Sandesh Pokhrel, Sanjay Bhandari, Sharib Ali, Tryphon Lambrou, Anh Nguyen, Yash Raj Shrestha, Angus Watson, Danail Stoyanov, Prashnna K. Gyawali, Binod Bhattarai
2025	J	`jnl`	Supervised Pretraining for Material Property Prediction. CoRR Chowdhury Mohammad Abid Rahman, Aldo H. Romero, Prashnna K. Gyawali
2024	—	`conf`	CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities. MICCAI (10) Pranav Poudel, Prashant Shrestha, Sanskar Amgain, Yash Raj Shrestha, Prashnna K. Gyawali, Binod Bhattarai
2024	J	`jnl`	CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities. CoRR Pranav Poudel, Prashant Shrestha, Sanskar Amgain, Yash Raj Shrestha, Prashnna K. Gyawali, Binod Bhattarai
2024	—	`conf`	Enhancing Phishing Detection with AI: A Novel Dataset and Comprehensive Analysis Using Machine Learning and Large Language Models. UEMCON Robin Chataut, Yusuf Usman, Chowdhury Mohammad Abid Rahman, Sohan Gyawali, Prashnna K. Gyawali
2024	—	`conf`	Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques. DEMI@MICCAI Jacob Thrasher, Annahita Amireskandari, Prashnna K. Gyawali
2024	J	`jnl`	Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques. CoRR Jacob Thrasher, Annahita Amireskandari, Prashnna K. Gyawali
2024	J	`jnl`	Enhancing material property prediction with ensemble deep graph convolutional networks. CoRR Chowdhury Mohammad Abid Rahman, Ghadendra Bhandari, Nasser M. Nasrabadi, Aldo H. Romero, Prashnna K. Gyawali
2024	J	`jnl`	Is Generative AI the Next Tactical Cyber Weapon For Threat Actors? Unforeseen Implications of AI Generated Cyber Attacks. CoRR Yusuf Usman, Aadesh Upadhyay, Prashnna K. Gyawali, Robin Chataut
2024	C	`conf`	Multi-Task Learning for Material Property Prediction. ICMLA Chowdhury Mohammad Abid Rahman, Nishat B. Alam, Amr S. El-Wakeel, JuHyeong Ryu, Prashnna K. Gyawali
2024	J	`jnl`	NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision. CoRR Sandesh Pokhrel, Sanjay Bhandari, Sharib Ali, Tryphon Lambrou, Anh Nguyen, Yash Raj Shrestha, Angus Watson, Danail Stoyanov, Prashnna K. Gyawali, Binod Bhattarai
2024	—	`conf`	ReweightOOD: Loss Reweighting for Distance-based OOD Detection. CVPR Workshops Sudarshan Regmi, Bibek Panthi, Yifei Ming, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai
2024	C	`conf`	Segmentation of Maya Hieroglyphs through Fine-Tuned Foundation Models. ICMLA FNU Shivam, Megan Leight, Mary Kate Kelly, Claire Davis, Kelsey Clodfelter, Jacob Thrasher, Chowdhury Mohammad Abid Rahman, Yenumula Reddy, Prashnna K. Gyawali
2024	J	`jnl`	Segmentation of Maya hieroglyphs through fine-tuned foundation models. CoRR FNU Shivam, Megan Leight, Mary Kate Kelly, Claire Davis, Kelsey Clodfelter, Jacob Thrasher, Yenumula Reddy, Prashnna K. Gyawali
2024	—	`conf`	Spam No More: A Cross-Model Analysis of Machine Learning Techniques and Large Language Model Efficacies. CSNet Robin Chataut, Aadesh Upadhyay, Yusuf Usman, Mary Nankya, Prashnna K. Gyawali
2024	—	`conf`	T2FNorm: Train-time Feature Normalization for OOD Detection in Image Classification. CVPR Workshops Sudarshan Regmi, Bibek Panthi, Sakar Dotel, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai
2024	—	`conf`	TE-SSL: Time and Event-Aware Self Supervised Learning for Alzheimer's Disease Progression Analysis. MICCAI (12) Jacob Thrasher, Alina Devkota, Ahmad P. Tafti, Binod Bhattarai, Prashnna K. Gyawali
2024	J	`jnl`	TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis. CoRR Jacob Thrasher, Alina Devkota, Ahmed Tafti, Binod Bhattarai, Prashnna K. Gyawali
2024	—	`conf`	TTA-OOD: Test-Time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision. DEMI@MICCAI Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Tryphon Lambrou, Prashnna K. Gyawali, Binod Bhattarai
2024	J	`jnl`	TTA-OOD: Test-time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision. CoRR Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Tryphon Lambrou, Prashnna K. Gyawali, Binod Bhattarai
2024	—	`conf`	The Dark Side of AI: Large Language Models as Tools for Cyber Attacks on Vehicle Systems. UEMCON Yusuf Usman, Prashnna K. Gyawali, Sohan Gyawali, Robin Chataut
2023	—	`conf`	Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. MICCAI (2) Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire, Linwei Wang
2023	J	`jnl`	Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. CoRR Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire, Linwei Wang
2023	J	`jnl`	Multimodal Federated Learning in Healthcare: a review. CoRR Jacob Thrasher, Alina Devkota, Prasiddha Siwakotai, Rohit Chivukula, Pranav Poudel, Chaunbo Hu, Binod Bhattarai, Prashnna K. Gyawali
2023	J	`jnl`	T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection. CoRR Sudarshan Regmi, Bibek Panthi, Sakar Dotel, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai
2022	—	`conf`	Ensembling improves stability and power of feature selection for deep learning models. MLCB Prashnna K. Gyawali, Xiaoxia Liu, James Zou, Zihuai He
2022	J	`jnl`	Ensembling improves stability and power of feature selection for deep learning models. CoRR Prashnna K. Gyawali, Xiaoxia Liu, James Zou, Zihuai He
2022	J	`jnl`	Improving genetic risk prediction across diverse population by disentangling ancestry representations. CoRR Prashnna K. Gyawali, Yann Le Guen, Xiaoxia Liu, Hua Tang, James Zou, Zihuai He
2022	—	`conf`	Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. MICCAI (8) Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang
2022	J	`jnl`	Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. CoRR Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang
2022	J	`jnl`	Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic Data. IEEE Trans. Biomed. Eng. Prashnna K. Gyawali, Jaideep Vitthal Murkute, Maryam Toloubidokhti, Xiajun Jiang, B. Milan Horácek, John L. Sapp, Linwei Wang
2021	—	`conf`	Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction. FIMH 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
2021	A	`conf`	Latent-optimization based Disease-aware Image Editing for Medical Image Augmentation. BMVC Aakash Saboo, Prashnna K. Gyawali, Ankit Shukla, Manoj Sharma, Neeraj Jain, Linwei Wang
2021	—	`conf`	Semi-Supervised Learning for Eye Image Segmentation. ETRA Short Papers Aayush Kumar Chaudhary, Prashnna K. Gyawali, Linwei Wang, Jeff B. Pelz
2021	J	`jnl`	Semi-Supervised Learning for Eye Image Segmentation. CoRR Aayush K. Chaudhary, Prashnna K. Gyawali, Linwei Wang, Jeff B. Pelz
2020	J	`jnl`	A hybrid machine learning approach to localizing the origin of ventricular tachycardia using 12-lead electrocardiograms. Comput. Biol. Medicine Ryan Missel, Prashnna K. Gyawali, Jaideep Vitthal Murkute, Zhiyuan Li, Shijie Zhou, Amir AbdelWahab, Jason Davis, James Warren, John L. Sapp, Linwei Wang
2020	J	`jnl`	Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space. CoRR Sandesh Ghimire, Prashnna K. Gyawali, Linwei Wang
2019	A*	`conf`	Improving Disentangled Representation Learning with the Beta Bernoulli Process. ICDM Prashnna K. Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, B. Milan Horácek, John L. Sapp, Linwei Wang
2019	J	`jnl`	Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models. CoRR Prashnna K. Gyawali, Rudra Saha, Linwei Wang, V. S. R. Veeravasarapu, Maneesh Singh
2018	J	`jnl`	Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors. CoRR Prashnna K. Gyawali, Cameron Knight, Sandesh Ghimire, B. Milan Horácek, John L. Sapp, Linwei Wang
2018	—	`conf`	Learning Disentangled Representation from 12-Lead Electrograms: Application in Localizing the Origin of Ventricular Tachycardia. AAAI Workshops Prashnna K. Gyawali, B. Milan Horácek, John L. Sapp, Linwei Wang
2018	J	`jnl`	Learning disentangled representation from 12-lead electrograms: application in localizing the origin of Ventricular Tachycardia. CoRR Prashnna K. Gyawali, B. Milan Horácek, John L. Sapp, Linwei Wang
2017	—	`conf`	Atrial Fibrillation Classification from a Short Single Lead ECG Recording Using Hierarchical Classifier. CinC Erin Coppola, Prashnna K. Gyawali, Nihar Vanjara, Daniel Giaime, Linwei Wang
2017	—	`conf`	Automatic Coordinate Prediction of the Exit of Ventricular Tachycardia from 12-Lead Electrocardiogram. CinC Prashnna K. Gyawali, Shuhang Chen, Huafeng Liu, B. Milan Horácek, John L. Sapp, Linwei Wang
2017	—	`conf`	Disentangling inter-subject variations: Automatic localization of ventricular tachycardia origin from 12-lead electrocardiograms. ISBI Shuhang Chen, Prashnna K. Gyawali, Huafeng Liu, B. Milan Horácek, John L. Sapp, Linwei Wang