Prof. Bennett A. Landman
Professor and Chair at Vanderbilt Univ
SPIE Involvement:
Board of Editors | Conference Program Committee | Editor-in-Chief: Journal of Medical Imaging | Author | Editor
Area of Expertise:
diffusion weighted MRI , harmonization , qualitative imaging , brain imaging , lung screening , integrative informatics
Websites:
Profile Summary

Bennett A. Landman, Ph.D. is Professor and Department Chair of Electrical and Computer Engineering at Vanderbilt University, with appointments in Computer Science, Biomedical Engineering, Radiology and Radiological Sciences, Psychiatry and Behavioral Sciences, Biomedical Informatics, and Neurology. He graduated with a bachelor of science (’01) and master of engineering (’02) in electrical engineering and computer science from the Massachusetts Institute of Technology, Cambridge, MA. After graduation, he worked in an image processing startup company and a private medical imaging research firm before returning for a doctorate in biomedical engineering (‘08) from Johns Hopkins University School of Medicine, Baltimore, MD. From 2010 to 2021, he severed on the Faculty of the Electrical Engineering and Computer Science Department, Vanderbilt University, Nashville, TN. In July 2021, he joined and became the first chair of the newly formed Electrical and Computer Engineering Department. His research concentrates on applying image-processing technologies to leverage large-scale imaging studies to improve understanding of individual anatomy and personalize medicine.
Publications (171)

SPIE Journal Paper | 17 April 2024 Open Access
Michael Kim, Chenyu Gao, Leon Cai, Qi Yang, Nancy Newlin, Karthik Ramadass, Angela Jefferson, Derek Archer, Niranjana Shashikumar, Kimberly Pechman, Katherine Gifford, Timothy Hohman, Lori Beason-Held, Susan Resnick, Stefan Winzeck, Kurt Schilling, Panpan Zhang, Daniel Moyer, Bennett Landman
JMI, Vol. 11, Issue 02, 024011, (April 2024) https://doi.org/10.1117/12.10.1117/1.JMI.11.2.024011
KEYWORDS: Silver, Diffusion tensor imaging, Error analysis, Diffusion, Statistical analysis, Biological samples, Reliability, Data modeling, Magnetic resonance imaging, Voxels

Proceedings Article | 3 April 2024 Presentation + Paper
Proceedings Volume 12933, 1293314 (2024) https://doi.org/10.1117/12.3006675
KEYWORDS: Connective tissue, Plasma, Visualization, Diseases and disorders, Biopsy, Spatial analysis, Medicine, Biological samples, Tissues, Image segmentation

Proceedings Article | 3 April 2024 Presentation + Paper
Proceedings Volume 12933, 129330F (2024) https://doi.org/10.1117/12.3006237
KEYWORDS: Machine learning, Colon, Pathology, Multiplexing, Human physiology, Clinical research, Biological imaging, Artificial intelligence

Proceedings Article | 2 April 2024 Presentation + Paper
Proceedings Volume 12926, 1292607 (2024) https://doi.org/10.1117/12.3006901
KEYWORDS: Data modeling, Deep learning, Diffusion magnetic resonance imaging, White matter

Proceedings Article | 2 April 2024 Presentation + Paper
Ema Topolnjak, Chenyu Gao, Lori Beason-Held, Susan Resnick, Kurt Schilling, Bennett Landman
Proceedings Volume 12926, 129261B (2024) https://doi.org/10.1117/12.3006633
KEYWORDS: Head, Diffusion weighted imaging, Motion analysis, Magnetic resonance imaging, Brain, Diffusion magnetic resonance imaging, Neuroimaging, Motion measurement