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2020 – today
- 2024
[c2]Jacob Thrasher, Annahita Amireskandari, Prashnna K. Gyawali:
Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques. DEMI@MICCAI 2024: 134-143- [c1]Jacob Thrasher, Alina Devkota, Ahmad P. Tafti, Binod Bhattarai, Prashnna K. Gyawali:
TE-SSL: Time and Event-Aware Self Supervised Learning for Alzheimer's Disease Progression Analysis. MICCAI (12) 2024: 324-333 - [i6]Chuanbo Hu, Jacob Thrasher, Wenqi Li, Mindi Ruan, Xiangxu Yu, Lynn K. Paul, Shuo Wang, Xin Li:
Exploring Speech Pattern Disorders in Autism using Machine Learning. CoRR abs/2405.05126 (2024) - [i5]FNU Shivam, Megan Leight, Mary Kate Kelly, Claire Davis, Kelsey Clodfelter, Jacob Thrasher, Yenumula Reddy, Prashnna K. Gyawali:
Segmentation of Maya hieroglyphs through fine-tuned foundation models. CoRR abs/2405.16426 (2024) - [i4]Jacob Thrasher, Alina Devkota, Ahmed Tafti, Binod Bhattarai, Prashnna K. Gyawali:
TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis. CoRR abs/2407.06852 (2024) - [i3]Jacob Thrasher, Annahita Amireskandari, Prashnna K. Gyawali:
Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques. CoRR abs/2407.15293 (2024) - 2023
- [i2]Chuanbo Hu, Shan Jia, Fan Zhang, Changjiang Xiao, Mindi Ruan, Jacob Thrasher, Xin Li:
UPDExplainer: an Interpretable Transformer-based Framework for Urban Physical Disorder Detection Using Street View Imagery. CoRR abs/2305.02911 (2023) - [i1]Jacob Thrasher, Alina Devkota, Prasiddha Siwakotai, Rohit Chivukula, Pranav Poudel, Chaunbo Hu, Binod Bhattarai, Prashnna K. Gyawali:
Multimodal Federated Learning in Healthcare: a review. CoRR abs/2310.09650 (2023)
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