Jason Crane, PhD

Director Computational Core & Infrastructure

[email protected]

UCSF Bridge: https://bridge.ucsf.edu/

UCSF Information Commons: https://informationcommons.ucsf.edu/

Center For Intelligent Imaging: https://intelligentimaging.ucsf.edu/

SIVIC Software Project: https://sourceforge.net/projects/sivic/

SIVIC Github: https://github.com/SIVICLab/sivic

Publications

NIMG-25. CLINICAL FEASIBILITY OF AI-BASED T2 FLAIR SEGMENTATION FOR DETECTION OF PROGRESSION IN NON-ENHANCING LOWER GRADE GLIOMA.

Implementation and prospective real-time evaluation of a generalized system for in-clinic deployment and validation of machine learning models in radiology.

Interactive Effects of Molecular, Therapeutic, and Patient Factors on Outcome of Diffuse Low-Grade Glioma.

Utilizing a Digital Swarm Intelligence Platform to Improve Consensus Among Radiologists and Exploring Its Applications.

Improving the Automatic Classification of Brain MRI Acquisition Contrast with Machine Learning.

Federated learning for predicting clinical outcomes in patients with COVID-19.

Federated Learning used for predicting outcomes in SARS-COV-2 patients.

NIMG-44. INTEGRATING AUTOMATED LESION SEGMENTATIONS FROM SINGLE-IMAGES INTO ROUTINE CLINICAL WORKFLOW FOR VOLUMETRIC RESPONSE ASSESSMENT.

SURG-18. THE IMPACT OF NEUROLOGIC IMPAIRMENTS ON THE RELATIVE BENEFIT OF MAXIMAL EXTENT OF RESECTION IN NEWLY DIAGNOSED IDH-WILD TYPE GLIOBLASTOMA.

Association of Maximal Extent of Resection of Contrast-Enhanced and Non-Contrast-Enhanced Tumor With Survival Within Molecular Subgroups of Patients With Newly Diagnosed Glioblastoma.

Hyperpolarized 13 C MRI data acquisition and analysis in prostate and brain at University of California, San Francisco.

Kinetic Modeling of Hyperpolarized Carbon-13 Pyruvate Metabolism in the Human Brain.