Dr. Feliks Kogan

Assistant Professor

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Biography

Feliks Kogan is an Assistant Professor in the Department of Radiology at Stanford University, specializing in Musculoskeletal Imaging. He earned his Ph.D. in Bioengineering from the University of Pennsylvania in 2013. Following his doctorate, he completed a postdoctoral fellowship in the Radiology Department at Stanford, where he focused on developing early markers of disease through novel imaging methods. Kogan’s research emphasizes translating these methods into actionable information that can positively impact patient outcomes. His expertise includes cutting-edge imaging technologies, particularly multimodal PET-MRI systems, and innovative quantitative imaging biomarkers at ultra-high magnetic fields (7T). Kogan has also delivered lectures in various courses at Stanford and is a junior fellow of the International Society for Magnetic Resonance in Medicine, as well as a member of the Council of Early Investigators in Imaging at the Academy of Radiology & Biomedical Imaging Research.

Research Interests

Musculoskeletal Imaging Quantitative Imaging Technologies Translational Imaging Methods Osteoarthritis Research

Experience

Assistant Professor (Research)

2015-01-01 — Present

Stanford University • Stanford, CA

Assistant Professor specializing in musculoskeletal imaging and research translation.

Awards

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NIBIB Trailblazer Award

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NIH Pathway Independence Award (K99/R00)

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Young Investigator Cum Laude Award

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ISMRM Junior Fellow

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National Institute of Biomedical Imaging and Bioengineering (NIBIB) Training Grant

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HHMI Interfaces Fellowship Imaging Sciences

Courses

BMP 210A RAD 210A BIOE 392 BIOE 391 BMP 399 RAD 399 BMP 210B RAD 210B BMP 211 RAD 211

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.