Sikang Ren

Deep Learning Pipeline for Automatic Segmentation, Classification, and Molecular Subtyping of Three Pediatric Posterior Fossa Tumors Using T2-Weighted MRI.

BACKGROUND Pediatric posterior fossa tumors vary in malignancy, treatment, and prognosis across tumor types and molecular subtypes, yet noninvasive preoperative differentiation remains challenging. PURPOSE To develop a deep learning (DL) pipeline using T2-weighted (T2w) MR images to automatically segment pediatric po...

A multimodal MRI-based deep learning model for non-invasive diagnosis of pineal region germinoma.