Matthew McKenna
Last active: 4/21/2016


I am interested in mathematical modeling approaches to improve cancer therapy. Currently, I am developing image-based tumor models that leverage MRI and fluorescence microscopy data to predict therapeutic response. I am in my fourth year of the Medical Scientist Training Program in the Department of Biomedical Engineering. Long-term, I aspire to serve cancer patients as an oncologist-engineer, developing and translating methods that integrate cancer biology knowledge into mathematical models to optimize therapy.


The following timeline graph is generated from all co-authored publications.

Featured publications are shown below:

  1. Strategies for improved interpretation of computer-aided detections for CT colonography utilizing distributed human intelligence. McKenna MT, Wang S, Nguyen TB, Burns JE, Petrick N, Summers RM (2012) Med Image Anal 16(6): 1280-92
    › Primary publication · 22705287 (PubMed) · PMC3443285 (PubMed Central)
  2. Seeing is believing: video classification for computed tomographic colonography using multiple-instance learning. Wang S, McKenna MT, Nguyen TB, Burns JE, Petrick N, Sahiner B, Summers RM (2012) IEEE Trans Med Imaging 31(5): 1141-53
    › Primary publication · 22552333 (PubMed) · PMC3480731 (PubMed Central)
  3. Distributed human intelligence for colonic polyp classification in computer-aided detection for CT colonography. Nguyen TB, Wang S, Anugu V, Rose N, McKenna M, Petrick N, Burns JE, Summers RM (2012) Radiology 262(3): 824-33
    › Primary publication · 22274839 (PubMed) · PMC3285221 (PubMed Central)