Dr. Debra Ikeda

Professor

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Biography

Debra M. Ikeda, M.D., is a Professor Emeritus of Radiology at Stanford University, specializing in breast imaging. With a comprehensive career spanning over three decades, she has contributed significantly to the fields of breast cancer detection, imaging technology, and biopsy techniques. Dr. Ikeda served as the Breast Imaging Fellowship Director from 2015 to 2019 and as Section Chief of the Breast Imaging Section from 1992 to 2016. Recognized for her exceptional teaching, she was awarded Teacher of the Year by Stanford Radiology in 1997 and has been honored as a Fellow by both the Society of Breast Imaging and the American College of Radiology. Dr. Ikeda's ongoing research involves developing new imaging techniques using artificial intelligence and deep learning to improve breast cancer diagnosis and treatment outcomes. Her leadership roles in the California Breast Imaging Information Group reflect her commitment to enhancing breast imaging practices and policies. Dr. Ikeda continues to actively publish and participate in scholarly activities that focus on evolving technologies and methodologies in breast imaging, contributing to optimal health outcomes for women. With her wealth of expertise, she remains a crucial figure in the academic and clinical realms of radiology and breast cancer research.

Research Interests

Experience

Professor Emeritus-Hourly

— Present

Stanford University • Stanford, CA

Professor Emeritus of Radiology focusing on breast imaging and cancer.

Breast Imaging Fellowship Director

— Present

Stanford University School of Medicine • Stanford, CA

Directed fellowship program for breast imaging.

Breast Imaging Section Chief

— Present

Stanford University Breast Imaging Section • Stanford, CA

Led breast imaging section, developing clinical and educational protocols.

Courses

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

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.