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Paul A. Yushkevich, Ph.D.

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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.
Post-Graduate Training
Research Fellow, Radiology, University of Pennsylvania, 2003-2006.
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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.

Selected Publications

Levack Melissa M, Mecozzi Gianclaudio, Jainandunsing Jayant S, Bouma Wobbe, Jassar Arminder S, Pouch Alison M, Yushkevich Paul A, Mariani Massimo A, Jackson Benjamin M, Gorman Joseph H, Gorman Robert C: Quantitative three-dimensional echocardiographic analysis of the bicuspid aortic valve and aortic root: A single modality approach. Journal of cardiac surgery 35(2): 375-382, Feb 2020.

de Flores, R., Berron, D., Ding, S. L., Ittyerah, R., Pluta, J. B., Xie, L., Adler, D. H., Robinson, J. L., Schuck, T., Trojanowski, J. Q., Grossman, M., Liu, W., Pickup, S., Das, S. R., Wolk, D. A., Yushkevich, P. A., Wisse, L. E. M.: Characterization of hippocampal subfields using ex vivo MRI and histology data: Lessons for in vivo segmentation. Hippocampus 30(6): 545-564, 2020.

Xie, L., Wisse, L. E. M., Das, S. R., Vergnet, N., Dong, M., Ittyerah, R., de Flores, R., Yushkevich, P. A., Wolk, D. A., Alzheimer's Disease Neuroimaging, Initiative: Longitudinal atrophy in early Braak regions in preclinical Alzheimer''s disease. Hum Brain Mapp 2020.

Ravikumar, Sadhana, Wisse, Laura EM, Ittyerah, Ranjit, Lim, Sydney, Lavery, Madigan, Xie, Long, Robinson, John L, Schuck, Theresa, Grossman, Murray, Lee, Edward B: Building an Ex Vivo Atlas of the Earliest Brain Regions Affected by Alzheimer''s Disease Pathology. In Proc. IEEE 17th International Symposium on Biomedical Imaging (ISBI) IEEE, Page: 113-117, 2020.

Oguz, I., Yushkevich, N., Pouch, A., Oguz, B. U., Wang, J., Parameshwaran, S., Gee, J., Yushkevich, P. A., Schwartz, N.: Minimally interactive placenta segmentation from three-dimensional ultrasound images. J Med Imaging (Bellingham) 7(1): 014004, 2020.

Meijerink, F., Wijdh-den Hamer, I. J., Bouma, W., Pouch, A. M., Aly, A. H., Lai, E. K., Eperjesi, T. J., Acker, M. A., Yushkevich, P. A., Hung, J., Mariani, M. A., Khabbaz, K. R., Gleason, T. G., Mahmood, F., Gorman, J. H., 3rd, Gorman, R. C.: Intraoperative post-annuloplasty three-dimensional valve analysis does not predict recurrent ischemic mitral regurgitation. J Cardiothorac Surg 15(1): 161, 2020.

MacIntosh, B. J., Shirzadi, Z., Atwi, S., Detre, J. A., Dolui, S., Bryan, R. N., Launer, L. J., Swardfager, W.: Metabolic and vascular risk factors are associated with reduced cerebral blood flow and poorer midlife memory performance. Hum Brain Mapp 41(4): 855-864, 2020.

Lempert, K. M., Mechanic-Hamilton, D. J., Xie, L., Wisse, L. E. M., de Flores, R., Wang, J., Das, S. R., Yushkevich, P. A., Wolk, D. A., Kable, J. W.: Neural and behavioral correlates of episodic memory are associated with temporal discounting in older adults. Neuropsychologia Page: 107549, 2020.

Dolui, S., Li, Z., Nasrallah, I. M., Detre, J. A., Wolk, D. A.: Arterial spin labeling versus (18)F-FDG-PET to identify mild cognitive impairment. Neuroimage Clin 25: 102146, 2020.

de Flores, R., Wisse, L. E. M., Das, S. R., Xie, L., McMillan, C. T., Trojanowski, J. Q., Robinson, J. L., Grossman, M., Lee, E., Irwin, D. J., Yushkevich, P. A., Wolk, D. A.: Contribution of mixed pathology to medial temporal lobe atrophy in Alzheimer''s disease. Alzheimers Dement 16(6): 843-852, 2020.

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Last updated: 09/01/2020
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