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Medical Imaging COBRE

OU Gallogly College of Engineering, Oklahoma COBRE in Cancer Imaging Research, The University of Oklahoma website wordmark

Oklahoma Center of Medical Imaging for Translational Cancer Research

The objective of this COBRE is to establish a new biomedical imaging research center with appropriate infrastructure and research capacity along with a multidisciplinary mentoring team to support the promising research project leaders of junior investigators as they conduct innovative translational cancer research projects. The success of COBRE will ultimately have a high research and clinical impact, leading to a reduced cancer burden both for individual patients and society. 


This COBRE aims to enhance the capability of conducting multidisciplinary medical imaging technology and informatics-related translational cancer research on both the OU Norman and OUHSC campuses.


Promoting close and effective collaboration between biomedical engineering researchers and physician scientists on two OU campuses can significantly increase the efficacy and translational clinical impact of research projects.

Research Themes

In order to improve cancer detection and diagnosis accuracy and/or treatment efficacy using medical imaging and informatics technology, the research topics of the COBRE include but are not limited to:

  • Develop novel investigative medical imaging modalities and technologies to more sensitively detect tumors and monitor tumor response to treatment.
  • Identify and develop new quantitative imaging markers using advanced image processing and AI-based technology.
  • Assess the efficacy of the investigative cancer therapy drugs or procedures using medical imaging methods.
  • Develop new machine learning (ML) based prediction models that fuse both imaging and genomic biomarkers.

Biostatistics Lecture Series

Lecture 1 - Foundations and Basics of Statistical Tools and Data Analysis
Presented by Dr. Lance Ford on Sept. 30, 2022 @ 10 a.m.

View video | View Presentation(PDF)

Lecture 2 - Foundations of Basic Sample Size Calculations 
Presented by Dr. Lance Ford on Oct. 28, 2022.

View video | View Presentation(PDF)

Lecture 3 - Receiver Operating Characteristics (ROC) Analysis and Sample Size Calculation 
Presented by Dr. Kai Ding on Dec. 2, 2022.

View video | View Presentation(PDF)

Lecture 4 - Statistics Power Analysis in Developing and Evaluating Machine Learning Models
Presented by Dr. Chao Xu March 3, 2023 at 10 a.m.
View Presentation (PDF)

Lecture 5 - : Foundations of Simple and Multiple Linear Regression
Presented by Dr. Lance Ford (Left OU in fall of 2023) June 30, 2023 at 10 a.m.

View Video 

Lecture 6 -  Introduction to Classification Methods 
Presented by Dr. Chao Xu on Sept. 22, 2023 at 10 a.m.
 View Video View Presentation(PDF)

Lecture 7 -  Resampling 
Presented by Dr. Kai Ding on Nov, 3, 2023 at 10 a.m.
View Video View Presentation (PDF)

How to Acknowledge COBRE Support

Research reported in this [publication, release] is supported in part by an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences, the National Institutes of Health, under grant number P20 GM135009.

Stephenson Research and Technology Center
Gallogly Hall of Biomedical Engineering

Contact Information

Administration Office Address:

Stephenson Research and Technology Center

101 David L. Boren Blvd, Rm 1160

Norman, OK 73019