Paul A. Yushkevich, Ph.D.

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Professor of Radiology
Department: Radiology
Graduate Group Affiliations

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.
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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

André C, Kuhn E, Rehel S, Ourry V, Demeilliez-Servouin S, Palix C, Felisatti F, Champetier P, Dautricourt S, Yushkevich P, Vivien D, de La Sayette V, Chételat G, de Flores R, Rauchs G; Medit-Ageing Research Group.: Association of Sleep-Disordered Breathing and Medial Temporal Lobe Atrophy in Cognitively Unimpaired Amyloid-Positive Older Adults. Neurology 101: e370-e385, Jul 2023.

Xie L, Das SR, Wisse LEM, Ittyerah R, de Flores R, Shaw LM, Yushkevich PA, Wolk DA; Alzheimer’s Disease Neuroimaging Initiative.: Baseline structural MRI and plasma biomarkers predict longitudinal structural atrophy and cognitive decline in early Alzheimer's disease. Alzheimers Res Ther 15: 79, Apr 2023.

Villavisanis DF, Khandelwal P, Zapatero ZD, Wagner CS, Blum JD, Cho DY, Swanson JW, Taylor JA, Yushkevich PA, Bartlett SP.: Developing a Craniofacial Soft Tissue Anthropomorphic Database with Magnetic Resonance Imaging and Unbiased Diffeomorphic Registration. Plast Reconstr Surg Apr 2023.

Insausti R, Insausti AM, Muñoz López M, Medina Lorenzo I, Arroyo-Jiménez MDM, Marcos Rabal MP, de la Rosa-Prieto C, Delgado-González JC, Montón Etxeberria J, Cebada-Sánchez S, Raspeño-García JF, Iñiguez de Onzoño MM, Molina Romero FJ, Benavides-Piccione R, Tapia-González S, Wisse LEM, Ravikumar S, Wolk DA, DeFelipe J, Yushkevich P, Artacho-Pérula E.: Ex vivo, in situ perfusion protocol for human brain fixation compatible with microscopy, MRI techniques, and anatomical studies. Front Neuroanat 17: 1149674, Mar 2023.

Alper J, Feng R, Verma G, Rutter S, Huang KH, Xie L, Yushkevich P, Jacob Y, Brown S, Kautz M, Schneider M, Lin HM, Fleysher L, Delman BN, Hof PR, Murrough JW, Balchandani P.: Stress-related reduction of hippocampal subfield volumes in major depressive disorder: A 7-Tesla study. Front Psychiatry 14: 1060770, Feb 2023.

Taghvaei M, Cook P, Sadaghiani S, Shakibajahromi B, Tackett W, Dolui S, De D, Brown C, Khandelwal P, Yushkevich P, Das S, Wolk DA, Detre JA.: Young versus older subject diffusion magnetic resonance imaging data for virtual white matter lesion tractography. Hum Brain Mapp 2023.

Xie L, Wisse LEM, Wang J, Ravikumar S, Khandelwal P, Glenn T, Luther A, Lim S, Wolk DA, Yushkevich PA.: Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation. Med Image Anal 2023.

Sadaghiani S, Trotman W, Lim SA, Chung E, Ittyerah R, Ravikumar S, Khandelwal P, Prabhakaran K, Lavery ML, Ohm DT, Gabrielyan M, Das SR, Schuck T, Capp N, Peterson CS, Migdal E, Artacho-Pérula E, Jiménez MDMA, Rabal MDPM, Sánchez SC, Prieto CR, Parada MC, Insausti R, Robinson JL, McMillan C, Grossman M, Lee EB, Detre JA, Xie SX, Trojanowski JQ, Tisdall MD, Wisse LEM, Irwin DJ, Wolk DA, Yushkevich PA.: Associations of phosphorylated tau pathology with whole-hemisphere ex vivo morphometry in 7 tesla MRI. Alzheimers Dement Dec 2022.

Perez SD, Phillips JS, Norise C, Kinney NG, Vaddi P, Halpin A, Rascovsky K, Irwin DJ, McMillan CT, Xie L, Wisse LEM, Yushkevich PA, Kallogjeri D, Grossman M, Cousins KAQ.: Neuropsychological and Neuroanatomical Features of Patients with Behavioral/Dysexecutive Variant Alzheimer's disease (AD): A Comparison to Behavioral Variant Frontotemporal Dementia and Amnestic AD Groups. J Alzheimers Dis Aug 2022.

Arezoumandan S, Xie SX, Cousins KAQ, Mechanic-Hamilton DJ, Peterson CS, Huang CY, Ohm DT, Ittyerah R, McMillan CT, Wolk DA, Yushkevich P, Trojanowski JQ, Lee EB, Grossman M, Phillips JS, Irwin DJ.: Regional distribution and maturation of tau pathology among phenotypic variants of Alzheimer's disease. Acta Neuropathol Jul 2022.

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Last updated: 08/25/2023
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