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Computer Science

D-Index
52
Citations
28870
World Ranking
4943
National Ranking
2297

Overview

Paul A. Yushkevich is affiliated with the University of Pennsylvania in the United States. Their research primarily spans the fields of Medicine and Neuroscience, with a focus on several subfields including Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental Health, Physiology, Cognitive Neuroscience, and Neurology.

The scientist's work addresses multiple main topics, such as:

  • Dementia and Cognitive Impairment Research
  • Advanced Neuroimaging Techniques and Applications
  • Alzheimer's disease research and treatments
  • Functional Brain Connectivity Studies
  • Neurological Disease Mechanisms and Treatments
  • Medical Image Segmentation Techniques
  • Advanced MRI Techniques and Applications

Paul A. Yushkevich has contributed extensively to various publication venues, most frequently appearing in:

  • Alzheimer s & Dementia
  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Human Brain Mapping
  • Neurology

Among their recent papers are:

  • Early stages of tau pathology and its associations with functional connectivity, atrophy and memory, 2021, Brain
  • ANHIR: Automatic Non-Rigid Histological Image Registration Challenge, 2020, IEEE Transactions on Medical Imaging
  • Hippocampal subfield volumetry from structural isotropic 1 mm3MRI scans: A note of caution, 2020, Human Brain Mapping
  • Contribution of mixed pathology to medial temporal lobe atrophy in Alzheimer's disease, 2020, Alzheimer s & Dementia
  • The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview, 2020, Lecture notes in computer science

Collaborations have been a significant aspect of their career, with frequent coauthors including:

  • Sandhitsu R. Das
  • David A. Wolk
  • Laura E.M. Wisse
  • Long Xie
  • David J. Irwin

Best Publications

  • User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability

    Paul A. Yushkevich;Joseph Piven;Heather Cody Hazlett;Rachel Gimpel Smith

  • N4ITK: Improved N3 Bias Correction

    Nicholas J Tustison;Brian B Avants;Philip A Cook;Yuanjie Zheng

  • Multi-Atlas Segmentation with Joint Label Fusion

    Hongzhi Wang;J. W. Suh;S. R. Das;J. B. Pluta

  • The optimal template effect in hippocampus studies of diseased populations

    Brian B. Avants;Paul A. Yushkevich;John Pluta;David Minkoff

  • Automated Volumetry and Regional Thickness Analysis of Hippocampal Subfields and Medial Temporal Cortical Structures in Mild Cognitive Impairment

    Paul A. Yushkevich;John B. Pluta;Hongzhi Wang;Long Xie

  • ITK-SNAP: An interactive tool for semi-automatic segmentation of multi-modality biomedical images

    Paul A. Yushkevich;Yang Gao;Guido Gerig

  • Deformable registration of diffusion tensor MR images with explicit orientation optimization.

    Hui Zhang;Paul A Yushkevich;Daniel C Alexander;James C Gee

  • Deformable M-Reps for 3D Medical Image Segmentation

    Stephen M. Pizer;P. Thomas Fletcher;Sarang Joshi;Andrew Thall

  • Segmentation, registration, and measurement of shape variation via image object shape

    S.M. Pizer;D.S. Fritsch;P.A. Yushkevich;V.E. Johnson

  • Quantitative Comparison of 21 Protocols for Labeling Hippocampal Subfields and Parahippocampal Subregions in In Vivo MRI: Towards a Harmonized Segmentation Protocol

    Paul A. Yushkevich;Robert S C Amaral;Jean C. Augustinack;Andrew R. Bender

  • High-Dimensional Spatial Normalization of Diffusion Tensor Images Improves the Detection of White Matter Differences: An Example Study Using Amyotrophic Lateral Sclerosis

    Hui Zhang;B.B. Avants;P.A. Yushkevich;J.H. Woo

  • Nearly Automatic Segmentation of Hippocampal Subfields in In Vivo Focal T2-Weighted MRI

    Paul A. Yushkevich;Hongzhi Wang;John Pluta;Sandhitsu R. Das

  • Multi-atlas segmentation with joint label fusion and corrective learning—an open source implementation

    Hongzhi Wang;Paul A. Yushkevich

  • A learning-based wrapper method to correct systematic errors in automatic image segmentation: consistently improved performance in hippocampus, cortex and brain segmentation.

    Hongzhi Wang;Sandhitsu R. Das;Jung Wook Suh;Murat Altinay

  • Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome

    Christos Davatzikos;Saima Rathore;Spyridon Bakas;Sarthak Pati

  • Structure-specific statistical mapping of white matter tracts.

    Paul A. Yushkevich;Hui Zhang;Tony J. Simon;James C. Gee

  • Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology.

    Daniel H Adler;Laura E M Wisse;Ranjit Ittyerah;John B Pluta

  • A high-resolution computational atlas of the human hippocampus from postmortem magnetic resonance imaging at 9.4 T.

    Paul A. Yushkevich;Brian B. Avants;John Pluta;Sandhitsu R. Das

  • Multiscale deformable model segmentation and statistical shape analysis using medial descriptions

    S. Joshi;S. Pizer;P.T. Fletcher;P. Yushkevich

  • User-Guided Segmentation of Multi-modality Medical Imaging Datasets with ITK-SNAP

    Paul A. Yushkevich;Artem Pashchinskiy;Ipek Oguz;Suyash Mohan

  • Continuous Medial Representation for Anatomical Structures

    P.A. Yushkevich;Hui Zhang;J.C. Gee

  • Histology-derived volumetric annotation of the human hippocampal subfields in postmortem MRI

    Daniel H. Adler;John Pluta;Salmon Kadivar;Caryne Craige

  • Deformable registration of diffusion tensor MR images with explicit orientation optimization

    Hui Zhang;Paul A. Yushkevich;James C. Gee

Frequent Co-Authors

James C. Gee
James C. Gee University of Pennsylvania
David A. Wolk
David A. Wolk University of Pennsylvania
Brian B. Avants
Brian B. Avants University of Virginia
Murray Grossman
Murray Grossman University of Pennsylvania
Susanne G. Mueller
Susanne G. Mueller University of California, San Francisco
Songlin Ding
Songlin Ding RMIT University
Corey T. McMillan
Corey T. McMillan University of Pennsylvania
Lei Wang
Lei Wang Northwestern University
John Q. Trojanowski
John Q. Trojanowski University of Pennsylvania
Russell T. Shinohara
Russell T. Shinohara University of Pennsylvania

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