Jacob Thrasher

According to our database, Jacob Thrasher authored at least 7 papers between 2023 and 2024.

Collaborative distances:

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

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

2023

Multimodal Federated Learning in Healthcare: a review.

Jacob Thrasher, Alina Devkota, Prasiddha Siwakotai, 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