Dr. Sandy Napel

Professor

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Biography

Sandy Napel is a Professor of Radiology at Stanford Medicine, with a courtesy appointment in the Department of Medicine (Medical Informatics) and the Department of Electrical Engineering. His primary research interests focus on developing diagnostic and therapy-planning applications that utilize strategies for the acquisition, visualization, and quantitation of multi-dimensional medical imaging data. His work includes the creation of three-dimensional images of blood vessels using CT and complex flow visualizations using MR, along with computer-aided detection and characterization of lesions like colonic polyps and pulmonary nodules from cross-sectional image data. Additionally, he is involved in visualizing automated assessments of 4D ultrasound data and the fusion of images acquired through different modalities, such as CT and MR. He explores techniques for virtual endoscopy and quantitative structure parameters, addressing challenges such as the 'data explosion' associated with modern imaging technologies. Furthermore, Sandy co-directs the Radiology 3D Quantitative Imaging Lab, providing clinical services to the Stanford community, and co-leads the IBIIS, which focuses on advancing the integration of clinical and molecular data in radiology.

Research Interests

Experience

Professor

2005-01-01 — Present

Stanford University • Stanford, CA

Professor of Radiology focusing on medical imaging and informatics.

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.