T32 Presentations: Drs. John Colby and Andreas Rauschecker

Date

June 4, 201906/04/2019 12:00pm 06/04/2019 12:00pm T32 Presentations: Drs. John Colby and Andreas Rauschecker 1936 America/Los_Angeles public

Type

Lecture

Time Duration

12pm - 1:00pm

Location

513 Parnassus Ave. 2nd Floor Room: S 257

Notes

Lunch provided on first-come, first-served basis.

Broadcasts to:
China Basin, Large Classroom
Mt. Zion, 1600 Divisadero Street, C250
Mission Bay Hospital, 1975 4th Street, C1719
VAMC Bldg 200 Room 2A-147
ZSFG, Radiology, Room: Minagi Library


Connect via Zoom: https://zoom.us/j/9055865224

Speakers

T32 Program – Biomedical Imaging for Clinician Scientist
UCSF Department of Radiology and Biomedical Imaging

The Department of Radiology and Biomedical Imaging has a long record of excellence in clinical and academic radiology, and has one of the largest research enterprises funded through intra- and extramural funding and private donors. With numerous outstanding basic scientists and clinicians engaged in innovative imaging research across five principal campus units, the department provides a fertile ground for interdisciplinary collaboration. The T32 program exists to jumpstart the academic careers of junior radiologists and nuclear medicine physicians and to provide the essential foundation for developing a research program as an independent investigator.

 

John Colby, MD, PhD
PGY 5 Diagnostic Radiology Resident and T32 Trainee
UCSF Department of Radiology and Biomedical Imaging

Lecture Title: 'How to train your dragon: A Recipe for End-to-End Automated Imaging Quantification at UCSF'

John B. Colby, MD, PhD received his medical degree and PhD from UC Los Angeles. His diagnostic radiology residency at UCSF will be completed in June 2019. He served as a T32 fellow in 2018-2019. Dr. Colby’s research focus is on algorithms development for medical imaging analysis.  Dr. Colby will continue his training at UCSF as a Neuroradiology fellow in July 2019.
 

Andreas Rauschecker, MD, PhD
Clinical Fellow and T32 Trainee
UCSF Department of Radiology and Biomedical Imaging

Lecture Title: 'Artificial Intelligence System for Neuroradiologist-Level Differential Diagnosis on Brain MRI'

Andreas Rauschecker is a clinical fellow in neuroradiology in the UCSF Department of Radiology and Biomedical Imaging.  As a 2018-2019 NIH T-32 scholar, Andreas' research investigations over the past year have focused on developing and testing a system for using artificial intelligence on clinical brain MRIs.  The system uses deep learning and image processing technologies to extract features of interest to radiologists and clinicians, and then it combines these imaging features with clinical features to develop differential diagnoses.