Harish RaviPrakash

This study develops machine learning models using CT radiomics and clinical data to predict survival in metastatic NSCLC patients on durvalumab, showing improved accuracy compared to PD-L1 status.

This study develops a multimodal fusion pipeline that improves survival prediction in cancer patients by outperforming unimodal models using The Cancer Genome Atlas data.

This study develops a computational pipeline to differentiate chess masters from amateurs using functional and morphometric brain connectivity features, identifying distinct network differences.

This study develops a deep learning algorithm for ECoG-based functional language mapping, achieving 83.05% accuracy comparable to ESM, improving upon conventional ECoG-FM by 23%.