Parameter Efficient Fine-tuning of Transformer-based Masked Autoencoder Enhances Resource Constrained Neuroimage Analysis
Nikhil J. Dhinagar, Saket S. Ozarkar, Ketaki U. Buwa, Sophia I. Thomopoulos, Conor Owens‐Walton, Emily Laltoo, Chirag Jagad, Yao-Liang Chen, Philip A. Cook, Corey T. McMillan, Chih‐Chien Tsai, J-J Wang, Yih‐Ru Wu, Paul M. Thompson
This study evaluates parameter-efficient fine-tuning methods for vision transformers in neuroimaging, showing they outperform full fine-tuning and training from scratch with fewer parameters.
SPIE Medical Imaging: Computer-Aided Diagnosis · Apr 4, 2025Peer-reviewedNeuroscience