Jacob Thrasher

According to our database, Jacob Thrasher authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Multimodal Federated Learning in Healthcare: A Review.

Jacob Thrasher, Alina Devkota, Prasiddha Siwakoti, Rohit Chivukula, Pranav Poudel, Chuanbo Hu, Ahmad P. Tafti, Binod Bhattarai, Prashnna Gyawali

J. Heal. Informatics Res., June, 2026

Investigating Trustworthiness of Nonparametric Deep Survival Models for Alzheimer's Disease Progression Analysis.

Jacob Thrasher, Kaitlyn Heintzelman, Peter Martone, David Kotlowski, Binod Bhattarai, Donald Adjeroh, Prashnna Gyawali

CoRR, May, 2026

FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning.

Alina Devkota, Jacob Thrasher, Donald Adjeroh, Binod Bhattarai, Prashnna K. Gyawali

CoRR, February, 2026

2025

Speech pattern disorders in verbally fluent individuals with autism spectrum disorder: a machine learning analysis.

Chuanbo Hu, Jacob Thrasher, Wenqi Li, Mindi Ruan, Xiangxu Yu, Lynn K. Paul, Shuo Wang, Xin Li

Frontiers Neuroinformatics, 2025

2024

TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis.

Jacob Thrasher, Alina Devkota, Ahmed Tafti, Binod Bhattarai, Prashnna K. Gyawali

CoRR, 2024

Segmentation of Maya hieroglyphs through fine-tuned foundation models.

FNU Shivam, Megan Leight, Mary Kate Kelly, Claire Davis, Kelsey Clodfelter, Jacob Thrasher, Yenumula Reddy, Prashnna K. Gyawali

CoRR, 2024

Exploring Speech Pattern Disorders in Autism using Machine Learning.

Chuanbo Hu, Jacob Thrasher, Wenqi Li, Mindi Ruan, Xiangxu Yu, Lynn K. Paul, Shuo Wang, Xin Li

CoRR, 2024

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques.

Jacob Thrasher, Annahita Amireskandari, Prashnna K. Gyawali

Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024

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

Proceedings of the International Conference on Machine Learning and Applications, 2024

2023

Multimodal Federated Learning in Healthcare: a review.

Jacob Thrasher, Alina Devkota, Prasiddha Siwakoti, Rohit Chivukula, Pranav Poudel, Chaunbo Hu, Binod Bhattarai, Prashnna K. Gyawali

CoRR, 2023

UPDExplainer: an Interpretable Transformer-based Framework for Urban Physical Disorder Detection Using Street View Imagery.

Chuanbo Hu, Shan Jia, Fan Zhang, Changjiang Xiao, Mindi Ruan, Jacob Thrasher, Xin Li

CoRR, 2023