University of Southern California

A reinforcement-learning-trained medical vision-language model for generalizable reasoning across eight imaging modalities and five clinical question types.

An EEG foundation model pairing a convolutional encoder with a GPT pretrained by masked-segment reconstruction on the TUH EEG Corpus to improve low-data BCI decoding.