UPDExplainer: an Interpretable Transformer-based Framework for Urban Physical Disorder Detection Using Street View Imagery. - Chuanbo Hu; Shan Jia; Fan Zhang 011; Changjiang Xiao; Mindi Ruan; Jacob Thrasher; Xin Li 005 (CoRR, 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)

Segmentation of Maya Hieroglyphs through Fine-Tuned Foundation Models. - FNU Shivam; Megan Leight; Mary Kate Kelly; Claire Davis 003; Kelsey Clodfelter; Jacob Thrasher; Chowdhury Mohammad Abid Rahman; Yenumula Reddy; Prashnna K. Gyawali (ICMLA, 2024)

Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques. - Jacob Thrasher; Annahita Amireskandari; Prashnna K. Gyawali (DEMI@MICCAI, 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 (MICCAI (12), 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 016; Xin Li 005 (CoRR, 2024)

Segmentation of Maya hieroglyphs through fine-tuned foundation models. - FNU Shivam; Megan Leight; Mary Kate Kelly; Claire Davis 003; Kelsey Clodfelter; Jacob Thrasher; Yenumula Reddy; Prashnna K. Gyawali (CoRR, 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)