UCSF Renal Mass CT Dataset

This BIDS-formatted dataset provides multimodal brain MRI data from 150 patients with primary central nervous system lymphoma (PCNSL), including T1-weighted, contrast-enhanced T1-weighted, FLAIR, and ADC sequences. The dataset includes expert-annotated lesion segmentations with radiomic features, along with anonymized clinical data including demographics, diagnosis history, and medications.

The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) dataset is a public, clinical, multimodal brain MRI dataset consisting of 560 brain MRIs from 412 patients with expert annotations of 5136 brain metastases. Data consists of registered and skull stripped T1 post-contrast, T1 pre-contrast, FLAIR and subtraction (T1 pre-contrast - T1 post-contrast) images and voxelwise segmentations of enhancing brain metastases in NifTI format.

The IDL Data on AWS contain the metadata, documents, and extracted text for all of the documents in the UCSF Industry Documents Library, a growing corpus of internal corporate records and other documents arising from the tobacco, opioids, chemical, drug, food, fossil fuel industries.

This dataset contains the training data for the Machine learning for Optimal detection of iNflammatory cells in the KidnEY or MONKEY challenge. The MONKEY challenge focuses on the automated detection and classification of inflammatory cells, specifically monocytes and lymphocytes, in kidney transplant biopsies using Periodic acid-Schiff (PAS) stained whole-slide images (WSI). It contains 80 WSI, collected from 4 different pathology institutes, with annotated regions of interest. For each WSI up to 3 different PAS scans and one IHC slide scan are available. This dataset and challenge support the development of AI models that can aid in the diagnostic process, reduce pathologists’ workload, and improve patient outcomes in renal transplantation.