Dr. Christopher Beaulieu

Professor

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Biography

Christopher F. Beaulieu MD, PhD, is a Professor of Radiology and the Chief of Musculoskeletal Imaging at Stanford University. He received his MD and PhD degrees in Biological Structure from the University of Washington. Following his education, he completed a residency in Radiology at Duke University and a fellowship in Body Imaging at Stanford University. His research focuses on the integration of computer graphics and artificial intelligence in clinical musculoskeletal imaging. He is also known for his YouTube channel, which discusses various clinical topics within Musculoskeletal Imaging. His recent academic contributions include the development of STELLA, an open-source teaching platform launched at Stanford University in 2023. With extensive experience in diagnostic radiology and musculoskeletal imaging, Beaulieu has contributed to advancements in computer-aided diagnosis and machine learning methodologies that enhance the accessibility and utility of medical imaging data.

Research Interests

Experience

Professor

2001-01-01 — Present

Stanford University • Palo Alto, California, USA

Chief Musculoskeletal Imaging, Administrative Appointments

Associate Chair Education

2018-01-01 — Present

Department of Radiology, Stanford University • Palo Alto, California, USA

Oversees educational initiatives within the department.

Awards

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Alpha Omega Alpha

1987-01-01
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Cum Laude Award

1996-01-01
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Hounsfield Award

2000-01-01
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Lauterbur Award

2001-01-01

Courses

RAD 299 RAD 280 RAD 399 RAD 370 RAD 101 RAD 199 RAD 201

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.