Radiomics: Getting Our ‘Omics from Imaging @ MSOB Conference Room X275
Presenter: Hugo Aerts, PhD Assistant Professor Harvard Medical School Dr. Aerts is an Assistant Professor at Dana-Farber Cancer Institute, Brigham and Women’s Hospital, and Harvard Medical School, and is the lead of a group of[...]
ID Lecture Series - "Coccidioidomycosis" @ LK205/206
Presenter: Shanthi Kappagoda, MD Clinical Assistant Professor  (Infectious Diseases & Geographic Medicine)
ID Grand Rounds - "Bacteriophages and Chronic Infections" @ Lane Bldg.,Suite L154, Room L151
Presenter: Paul Bollyky, Assistant Professor of Medicine of Infectious Diseases and of Microbiology and Immunology | Member of Academic Council.
Sep 20 @ 8:00 am – 9:00 am
ID Lecture Series - "Meningitis" @ LK209
– Presenter: Brian Blackburn, MD. Clinical Associate Professor, Infectious Diseases and Geographic Medicine
Center for Population Health Sciences: Stanford Federal Research Data Center [FSRDC] @ Li Ka Shing Center, Berg Hall A | Stanford | California | United States
“Conducting Research using Restricted-Access Data through the Stanford Federal Statistical Research Data Center” Event Information and Registration The Stanford Federal Statistical Research Data Center (FSRDC) allows qualified researchers to securely use restricted-access data from the[...]
BMIR Research Colloquium: Sandy Napel  “Radiomics: Tools and Techniques” @ MSOB, Conference Room X-275 | Palo Alto | California | United States
Sandy Napel, PhD, Professor of Radiology,Co-Division-Chief, Integrative Biomedical Imaging Informatics at Stanford (IBIIS)Co-Director, Radiology 3DQ Lab Abstract: Radiomics is a process that extracts a feature vector of quantitative metrics to describe an image or a part[...]
BMIR Research in Progress: Martin Vallières, PhD  “Radiomics: the Image Biomarker Standardisation Initiative (IBSI)” @ MSOB Conference Room X275
Martin Vallières, PhD Postdoctoral Fellow, Medical Physics Unit, McGill University, Cedar Cancer Centre, Montréal Canada ABSTRACT: It is now recognized that intratumoral heterogeneity is associated with more aggressive tumor phenotypes leading to poor patient outcomes. Medical[...]