Dr. Andreas Loening

Associate Professor

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Biography

Andreas Loening is an Associate Professor in the Department of Radiology at Stanford University, specializing in Body MRI. His clinical practice and research focus on advancing magnetic resonance imaging (MRI) techniques to enhance the evaluation and treatment of lymphatic diseases and prostate cancer. His clinical research endeavors include refining MR lymphangiography techniques and applying new MR sequences to improve diagnostic capabilities. As a dedicated researcher, he explores novel contrast mechanisms in MRI to create targeted imaging strategies for better cancer stratification and lymphatic system evaluation. Dr. Loening holds numerous accolades, including grants and fellowships that support his ongoing research initiatives. He actively participates in various professional organizations geared towards advancing the field of radiology and MRI technology. With a robust educational background and several years of experience, he is committed to training new professionals in the field.

Research Interests

Patents

Self-illuminating quantum dot systems methods of use thereof

8,518,713 2013-08-27

Luciferases methods of making and using

8,378,086 2013-02-19

Self-illuminating quantum dot systems methods of use thereof

8,263,417 2012-09-11

Luciferases methods of making and using

8,258,277 2012-09-04

Luciferases methods of making and using

8,173,791 2012-08-08

Polynucleotide encoding luciferase

7,939,649 2011-10-01

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.