Paul A. Yushkevich

faculty photo
Associate Professor of Radiology
Department: Radiology

Contact information
Penn Image Computing and Science Laboratory
Richards Building, 6th Floor, D605
3700 Hamilton Walk
Philadelphia, PA 19104
Office: 215-746-6924
B.S. (Computer Science and Mathematics)
University of North Carolina at Charlotte, 1996.
M.S. (Computer Science)
University of North Carolina Chapel Hill, 2000.
Ph.D. (Computer Science)
University of North Carolina Chapel Hill, 2003.
Permanent link

Description of Research Expertise

My research portfolio combines theoretical work on statistical shape characterization using a symmetry-based representation of shape with applied and translational research in multiple areas of biomedical image analysis. I am particularly interested in analysis techniques that are tailored to specific anatomical structures. My key work in this area involves automatic segmentation and morphometry of the hippocampal formation (HF) in magnetic resonance imaging (MRI). The HF plays a central role in memory function and is a site of early neurodegeneration in Alzheimer’s disease. In a broad effort to develop more detailed imaging-based biomarkers for Alzheimer’s disease, my team has developed a first of its kind detailed computational atlas of the HF from postmortem MRI microscopy. With NIH R01 funding, we are now integrating this atlas with histology, leveraging it for the analysis of the HF and its subfields in in vivo MRI, and evaluating MRI-derived subfield-specific as alternative imaging biomarkers in dementia. We recently published a pioneering technique for automatic segmentation of HF subfields in high-resolution, HF-focused T2-weighted in vivo MRI, showing excellent agreement with manual segmentation. Concurrently, we developed and evaluated a strategy for improving the accuracy of general-purpose segmentation techniques using machine learning as a corrective wrapper method. Other recent publications include a surface-based tract-specific strategy for diffusion MRI analysis, for which open-source software is currently being developed, and an automatic cardiac MRI segmentation method with an explicit prior on heart wall thickness.

Description of Itmat Expertise

Biomedical Image Analysis

Selected Publications

Das Sandhitsu R, Xie Long, Wisse Laura E M, Ittyerah Ranjit, Tustison Nicholas J, Dickerson Bradford C, Yushkevich Paul A, Wolk David A: Longitudinal and cross-sectional structural magnetic resonance imaging correlates of AV-1451 uptake. Neurobiology of aging 66: 49-58, Jun 2018.

Adler Daniel H, Wisse Laura E M, Ittyerah Ranjit, Pluta John B, Ding Song-Lin, Xie Long, Wang Jiancong, Kadivar Salmon, Robinson John L, Schuck Theresa, Trojanowski John Q, Grossman Murray, Detre John A, Elliott Mark A, Toledo Jon B, Liu Weixia, Pickup Stephen, Miller Michael I, Das Sandhitsu R, Wolk David A, Yushkevich Paul A: Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology. Proceedings of the National Academy of Sciences of the United States of America 115(16): 4252-4257, Apr 2018.

Shah Preya, Bassett Danielle S, Wisse Laura E M, Detre John A, Stein Joel M, Yushkevich Paul A, Shinohara Russell T, Pluta John B, Valenciano Elijah, Daffner Molly, Wolk David A, Elliott Mark A, Litt Brian, Davis Kathryn A, Das Sandhitsu R: Mapping the structural and functional network architecture of the medial temporal lobe using 7T MRI. Human brain mapping 39(2): 851-865, Feb 2018.

Davatzikos, C., Rathore, S., Bakas, S., Pati, S., Bergman, M., Kalarot, R., Sridharan, P., Gastounioti, A., Jahani, N., Cohen, E. and Akbari, H.: Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome. Journal of Medical Imaging 5(1), 2018.

Xie Long, Das Sandhitsu R, Wisse Laura E M, Ittyerah Ranjit, Yushkevich Paul A, Wolk David A: Early Tau Burden Correlates with Higher Rate of Atrophy in Transentorhinal Cortex. Journal of Alzheimer's disease : JAD 62(1): 85-92, 2018.

Wisse L E M, Das S R, Davatzikos C, Dickerson B C, Xie S X, Yushkevich P A, Wolk D A: Defining SNAP by cross-sectional and longitudinal definitions of neurodegeneration. NeuroImage. Clinical 18: 407-412, 2018.

Mueller Susanne G, Yushkevich Paul A, Das Sandhitsu, Wang Lei, Van Leemput Koen, Iglesias Juan Eugenio, Alpert Kate, Mezher Adam, Ng Peter, Paz Katrina, Weiner Michael W: Systematic comparison of different techniques to measure hippocampal subfield volumes in ADNI2. NeuroImage. Clinical 17: 1006-1018, 2018.

Xie Long, Shinohara Russell T, Ittyerah Ranjit, Kuijf Hugo J, Pluta John B, Blom Kim, Kooistra Minke, Reijmer Yael D, Koek Huiberdina L, Zwanenburg Jaco J M, Wang Hongzhi, Luijten Peter R, Geerlings Mirjam I, Das Sandhitsu R, Biessels Geert Jan, Wolk David A, Yushkevich Paul A, Wisse Laura E M: Automated Multi-Atlas Segmentation of Hippocampal and Extrahippocampal Subregions in Alzheimer's Disease at 3T and 7T: What Atlas Composition Works Best? Journal of Alzheimer's disease : JAD 63(1): 217-225, 2018.

Pouch Alison M, Aly Ahmed H, Lai Eric K, Yushkevich Natalie, Stoffers Rutger H, Gorman Joseph H, Cheung Albert T, Gorman Joseph H, Gorman Robert C, Yushkevich Paul A: Spatiotemporal Segmentation and Modeling of the Mitral Valve in Real-Time 3D Echocardiographic Images. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention 10433: 746-754, Sep 2017.

Pecheva Diliana, Yushkevich Paul, Batalle Dafnis, Hughes Emer, Aljabar Paul, Wurie Julia, Hajnal Joseph V, Edwards A David, Alexander Daniel C, Counsell Serena J, Zhang Hui: A tract-specific approach to assessing white matter in preterm infants. NeuroImage 157: 675-694, Apr 2017.

back to top
Last updated: 05/09/2018
The Trustees of the University of Pennsylvania