Bio
Dr. Elima is working with GE Healthcare on developing rapid dual-contrast PET/MRI protocols for staging and assessment of rectal cancer. She is also working on development of AI based segmentation models for muscle and fat separation using pelvic MRI images in pelvic floor disorder patients. This project is undergoing in collaboration with Stanford AIMI center and AWS cloud computation support. Her research interests include translation of quantitative MRI and PET/MRI, radiomics, machine learning for predicting treatment response in rectal cancer, gynecologic malignancies, and inflammatory bowel diseases.
