Paul Yushkevich

biography

I am an Assistant Professor in the Department of Radiology at the University of Pennsylvania. My research focuses on developing novel computational methodologies for structure-specific analysis of biomedical imaging data. In my graduate work, performed under the direction of Stephen M. Pizer, Ph.D. at the University of North Carolina, I worked on the problems of finding shape representations suitable for statistical shape analysis with features derived from geometrical skeletons. I have continued this research in my postgraduate work, developing new ways to use differential equations to solve the complex geometrical constraints that arise in skeleton-based shape analysis. I have been applying this methodology to the problems of shape analysis, shape-based normalization of brain structures, detailed structure-specific fMRI analysis, and tract-specific diffusion MRI analysis. As part of this structure-specific framework, I have developed a detailed atlas of the hippocampus and hippocampal subfields, derived from high-field, ultra high-resolution MRI images, along with techniques for leveraging this atlas in the analysis of in vivo MRI. In addition to his work on development, validation and application of structure-specific methodologies, I am extensively involved in efforts to make complex image analysis tools available broadly in the form of software applications. I supervise the development of ITK-SNAP, a mature multi-platform, open-source image segmentation software tool that is used widely in the field.

research overviews

bibliography

For a dynamic listing, see my listings on PubMed and Google Scholar.

Journal Papers
  1. J. Hanson, J. Suh, B. Nacewicz, M. Sutterer, A. Cayo, D. Stodola, C. Burghy, H. Wang, B. Avants, P. Yushkevich, M. Essex, S. Polllak, and R. Davidson, "Robust automated amygdala segmentation via multi-atlas diffeomorphic registration," Frontiers in Neuroscience, vol. 6, iss. 166, 2012. [url]
  2. H. Wang, J. W. Suh, S. R. Das, J. Pluta, C. Craige, and P. A. Yushkevich, "Multi-Atlas Segmentation with Joint Label Fusion," IEEE Trans. on PAMI, to appear. accepted
  3. S. R. Das, J. Pluta, L. Mancuso, D. Kliot, S. Orozco, B. C. Dickerson, P. A. Yushkevich, and D. A. Wolk, "Increased Functional Connectivity within Medial Temporal Lobe in Mild Cognitive Impairment," Hippocampus, 2012. accepted
  4. J. Pluta, P. Yushkevich, S. Das, and D. Wolk, "In vivo Analysis of Hippocampal Subfield Atrophy in Mild Cognitive Impairment via Semi-Automatic Segmentation of T2-Weighted MRI," Journal of Alzheimer's Disease, 2012. accepted
  5. S. R. Das, B. B. Avants, J. Pluta, H. Wang, J. W. Suh, M. W. Weiner, S. G. Mueller, and P. A. Yushkevich, "Measuring Longitudinal Change in the Hippocampal Formation from In Vivo High-Resolution T2-Weighted MRI," Neuroimage, vol. 60, iss. 2, pp. 1266–79, 2012.
  6. A. Pouch, P. Yushkevich, B. Jackson, R. Gorman, and C. Seghal, "Development of a semi-automated method for mitral valve modeling with medial axis representation using 3D ultrasound," Medical Physics, vol. 39, iss. 2, pp. 933–50, 2012. accepted
  7. A. M. Pouch, C. Xu, P. A. Yushkevich, A. S. Jassar, M. Vergnat, I. J.H. Gorman, R. C. Gorman, C. M. Sehgal, and B. M. Jackson, "Semi-Automated Mitral Valve Morphometry and Computational Stress Analysis Using 3D Ultrasound," Journal of Biomechanics, 2012. accepted
  8. C. T. McMillan, C. Brun, S. Siddiqui, M. Churgin, D. Libon, P. Yushkevich, H. Zhang, A. Boller, J. Gee, and M. Grossman, "White matter imaging contributes to the multimodal diagnosis of frontotemporal lobar degeneration." Neurology, 2012. accepted
  9. S. R. Das, D. Mechanic-Hamilton, J. Pluta, M. Korczykowski, J. A. Detre, and P. A. Yushkevich, "Heterogeneity of functional activation during memory encoding across hippocampal subfields in temporal lobe epilepsy," NeuroImage, vol. 58, iss. 4, pp. 1121–1130, 2011. [url]
  10. H. Wang, S. R. Das, J. W. Suh, M. Altinay, J. Pluta, C. Craige, B. B. Avants, and P. A. Yushkevich, "A Learning-Based Wrapper Method to Correct Systematic Errors in Automatic Image Segmentation: Consistently Improved Performance in Hippocampus, Cortex and Brain," Neuroimage, vol. 55, iss. 3, pp. 968–985, 2011.
  11. P. A. Yushkevich, H. Wang, J. Pluta, S. R. Das, C. Craige, B. B. Avants, M. W. Weiner, and S. Mueller, "Nearly Automatic Segmentation of Hippocampal Subfields in In Vivo Focal T2-Weighted MRI," Neuroimage, 2010.
  12. H. Zhang, S. P. Awate, S. R. Das, J. H. Woo, E. R. Melhem, J. C. Gee, and P. A. Yushkevich, "A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features.," Med Image Anal, 2010. [url]
  13. S. P. Awate, P. A. Yushkevich, Z. Song, D. J. Licht, and J. C. Gee, "Cerebral Cortical Folding Analysis with Multivariate Modeling and Testing: Studies on Gender Differences and Neonatal Development," Neuroimage, 2010.
  14. P. A. Yushkevich, B. B. Avants, S. R. Das, J. Pluta, M. Altinay, C. Craige, and A. D. N. Initiative, "Bias in estimation of hippocampal atrophy using deformation-based morphometry arises from asymmetric global normalization: an illustration in ADNI 3 T MRI data.," Neuroimage, vol. 50, iss. 2, pp. 434–445, 2010.
  15. N. J. Tustison, B. B. Avants, P. A. Cook, A. Egan, Y. Zheng, P. A. Yushkevich, and J. C. Gee, "N4ITK: Improved N3 Bias Correction," IEEE Transactions on Medical Imaging, vol. 29, iss. 6, pp. 1310–1320, 2010.
  16. P. A. Yushkevich, B. B. Avants, J. Pluta, S. R. Das, D. Minkoff, D. Mechanic-Hamilton, S. Glynn, S. Pickup, W. Liu, J. C. Gee, M. Grossman, and J. A. Detre, "A high-resolution computational atlas of the human hippocampus from postmortem magnetic resonance imaging at 9.4 T," NeuroImage, vol. 44, iss. 2, pp. 385–398, 2009.
  17. P. A. Yushkevich, "Continuous medial representation of brain structures using the biharmonic PDE.," Neuroimage, vol. 45, iss. 1 Suppl, p. s99–110, 2009. [url]
  18. B. Avants, P. Yushkevich, J. Pluta, D. Minkoff, M. Korczykowski, J. Detre, and J. Gee, "The optimal template effect in hippocampus studies of diseased populations.," NeuroImage, 2009.
  19. D. Mechanic-Hamilton, M. Korczykowski, P. A. Yushkevich, K. Lawler, J. Pluta, S. Glynn, J. I. Tracy, R. L. Wolf, M. R. Sperling, J. A. French, and others, "Hippocampal volumetry and functional MRI of memory in temporal lobe epilepsy," Epilepsy and Behavior, vol. 16, iss. 1, pp. 128–138, 2009.
  20. S. R. Das, D. Mechanic-Hamilton, M. Korczykowski, J. Pluta, S. Glynn, B. B. Avants, J. A. Detre, and P. A. Yushkevich, "Structure specific analysis of the hippocampus in temporal lobe epilepsy." Hippocampus, vol. 19, iss. 6, pp. 517–25, 2009.
  21. P. A. Yushkevich, H. Zhang, T. J. Simon, and J. C. Gee, "Structure-specific statistical mapping of white matter tracts," NeuroImage, vol. 41, iss. 2, pp. 448–461, 2008.
  22. P. A. Yushkevich, J. A. Detre, D. Mechanic-Hamilton, M. A. Fernández-Seara, K. Z. Tang, A. Hoang, M. Korczykowski, H. Zhang, and J. C. Gee, "Hippocampus-specific fMRI group activation analysis using the continuous medial representation," NeuroImage, vol. 35, iss. 4, pp. 1516–1530, 2007.
  23. H. Zhang, B. B. Avants, P. A. Yushkevich, J. Woo, S. Wang, L. F. McCluskey, L. B. Elman, E. R. Melhem, and J. C. Gee, "High-dimensional spatial normalization of diffusion tensor images improves the detection of white matter differences: an example study using amyotrophic lateral sclerosis," IEEE Transactions on Medical Imaging, vol. 26, iss. 11, pp. 1585–1597, 2007.
  24. H. Sun, P. A. Yushkevich, H. Zhang, P. A. Cook, J. T. Duda, T. J. Simon, and J. C. Gee, "Shape-based normalization of the corpus callosum for (DTI) connectivity analysis," IEEE Transactions on Medical Imaging, vol. 26, iss. 9, pp. 1166–1178, 2007.
  25. L. Ng, S. Pathak, C. Kuan, C. Lau, H. Dong, A. Sodt, C. Dang, B. B. Avants, P. A. Yushkevich, J. C. Gee, D. R. Haynor, E. Lein, A. Jones, and M. Hawrylycz, "Neuroinformatics for genome-wide 3D gene expression mapping in the mouse brain," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 4, iss. 3, pp. 382–393, 2007.
  26. P. A. Yushkevich, H. Zhang, and J. C. Gee, "Continuous medial representation for anatomical structures," IEEE Transactions on Medical Imaging, vol. 25, iss. 12, pp. 1547–1564, 2006.
  27. P. A. Yushkevich, J. Piven, H. Hazlett, R. Smith, S. Ho, J. C. Gee, and G. Gerig, "User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability," NeuroImage, vol. 31, iss. 3, pp. 1116–1128, 2006. 6th most cited paper for 2006 (of 772)
  28. H. Zhang, P. A. Yushkevich, D. C. Alexander, and J. C. Gee, "Deformable registration of diffusion tensor MR images with explicit orientation optimization," Medical Image Analysis, vol. 10, iss. 5, pp. 764–785, 2006. Second most cited paper for 2006 (of 69)
  29. P. A. Yushkevich, A. Dubb, Z. Xie, R. C. Gur, R. E. Gur, and J. C. Gee, "Regional structural characterization of the brain of schizophrenia patients," Academic Radiology, vol. 12, iss. 10, pp. 1250–1261, 2005.
  30. P. A. Yushkevich, T. P. Fletcher, S. Joshi, A. Thall, and S. M. Pizer, "Continuous medial representations for geometric object modeling in 2D and 3D," Image and Vision Computing, vol. 21, iss. 1, pp. 17–27, 2003.
  31. S. M. Pizer, T. P. Fletcher, S. Joshi, A. Thall, J. Z. Chen, Y. Fridman, D. S. Fritsch, G. A. Gash, J. M. Glotzer, M. R. Jiroutek, C. Lu, K. E. Muller, G. Tracton, and P. A. Y, "Deformable \it M-reps for 3D medical image segmentation," International Journal of Computer Vision, vol. 55, iss. 2, pp. 85–106, 2003. [url] [PDF]
  32. S. Joshi, S. M. Pizer, T. P. Fletcher, P. A. Yushkevich, A. Thall, and J. Marron, "Multiscale deformable model segmentation and statistical shape analysis using medial descriptions," IEEE Transactions on Medical Imaging, vol. 21, iss. 5, pp. 538–550, 2002.
  33. S. M. Pizer, D. S. Fritsch, P. A. Yushkevich, V. E. Johnson, and E. L. Chaney, "Segmentation, registration, and measurement of shape variation via image object shape," IEEE Transactions on Medical Imaging, vol. 18, iss. 10, pp. 851–865, 1999.


Conference Papers (Peer-Reviewed)
  1. P. A. Yushkevich and H. Wang, "Deformable Modeling Using a 3D Boundary Representation with Quadratic Constraints on the Branching Structure of the Blum Skeleton," in Proc. Information Processing in Medical Imaging, 2013, accepted
  2. H. Wang, A. Pouch, M. Takabe, B. Jackson, J. Gorman, R. Gorman, and P. A. Yushkevich, "Multi-Atlas Segmentation with Robust Label Transfer and Label Fusion," in Proc. Information Processing in Medical Imaging, 2013, accepted
  3. A. M. Pouch, H. Wang, P. A. Yushkevich, M. Takabe, B. M. Jackson, J. H. Gorman III, R. C. Gorman, and C. M. Sehgal, "Fully automatic segmentation of the open mitral leaflets in 3D transesophageal echocardiographic images using multi-atlas label fusion and deformable medial modeling," in Proc. IEEE International Ultrasonics Symposium, 2012,
  4. H. Wang and P. A. Yushkevich, "Guiding Automatic Segmentation with Multiple Manual Segmentations," in Proc. MICCAI, 2012,
  5. P. A. Yushkevich, H. Wang, J. Pluta, and B. B. Avants, "From label fusion to correspondence fusion: a new approach to unbiased groupwise registration," in Proc. IEEE International Conference on Computer Vision and Pattern Recognition, 2012,
  6. H. Wang and P. Yushkevich, "Spatial Bias in Multi-Atlas Based Segmentation," in Proc. IEEE International Conference on Computer Vision and Pattern Recognition, 2012,
  7. D. Adler, A. Liu, J. Pluta, S. Kadivar, S. Orozco, H. Wang, J. Gee, B. Avants, and P. Yushkevich, "Reconstruction of the Human Hippocampus in 3D from Histology and High-Resolution Ex-Vivo MRI," in Proc. IEEE International Symposium on Biomedical Imaging, 2012,
  8. H. Wang and P. A. Yushkevich, "Dependency Prior for Multi-Atlas Label Fusion," in Proc. Proc. IEEE International Symposium on Biomedical Imaging (ISBI), 2012,
  9. H. Wang, J. W. Suh, J. Pluta, M. Altinay, and P. Yushkevich, "Computing Optimal Weights for Label Fusion based Multi-Atlas Segmentation," in Proc. Information Processing in Medical Imaging (IPMI), 2011,
  10. H. Wang, J. W. Suh, S. R. Das, J. Pluta, M. Altinay, and P. A. Yushkevich, "Regression-Based Label Fusion for Multi-Atlas Segmentation," in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011,
  11. H. Wang, J. W. Suh, S. R. Das, J. Pluta, M. Altinay, and P. A. Yushkevich, "Hippocampus segmentation using a stable maximum likelihood classifier ensemble algorithm," in Proc. IEEE International Symposium on Biomedical Imaging (ISBI), 2011,
  12. H. Sun, A. F. Frangi, H. Wang, F. M. Sukno, C. Tobon-Gomez, and P. A. Yushkevich, "Automatic Cardiac MRI Segmentation Using a Biventricular Deformable Medial Model," in Proc. Medical Image Computing and Computer-Assisted Intervention, 2010,
  13. H. Wang, S. R. Das, J. Pluta, C. Craige, M. Altinay, B. Avants, M. Weiner, S. Mueller, and P. A. Yushkevich, "Standing on the Shoulders of Giants: Improving Medical Image Segmentation via Bias Correction," in Proc. Medical Image Computing and Computer-Assisted Intervention, 2010,
  14. H. Wang, S. R. Das, J. Pluta, C. Craige, M. Altinay, M. W. Weiner, S. Mueller, and P. A. Yushkevich, "Shape-Based Semi-Automatic Hippocampal Subfield Segmentation with Learning-Based Bias Removal," in Proc. IEEE International Symposium on Biomedical Imaging, 2010,
  15. C. Tobon-Gomez, C. Butakoff, P. A. Yushkevich, M. Huguet, and A. F. Frangi, "3D Mesh Based Wall Thickness Measurement: Identification of Left Ventricular Hypertrophy Phenotypes," in Proc. Engineering in Medicine and Biology Conference, 2010,
  16. H. Zhang, S. P. Awate, S. R. Das, J. H. Woo, E. R. Melhem, J. C. Gee, and P. A. Yushkevich, "A Tract-Specific Framework for White Matter Morphometry Combining Macroscopic and Microscopic Tract Features," in Proc. Medical Image Computing and Computer-Assisted Intervention, 2009, pp. 141–149. [url]
  17. H. Zhang, P. A. Yushkevich, D. Rueckert, and J. C. Gee, "Tensor-Based Morphometry of Fibrous Structures with Application to Human Brain White Matter," in Proc. Medical Image Computing and Computer-Assisted Intervention, 2009, pp. 466–473. [url]
  18. S. P. Awate, P. Yushkevich, D. Licht, and J. C. Gee, "Gender Differences in Cerebral Cortical Folding: Multivariate Complexity-Shape Analysis with Insights into Handling Brain-Volume Differences," in Proc. Medical Image Computing and Computer-Assisted Intervention, 2009, pp. 200–207. [url]
  19. S. P. Awate, P. Yushkevich, Z. Song, D. Licht, and J. C. Gee, "Multivariate High-Dimensional Cortical Folding Analysis, Combining Complexity and Shape, in Neonates with Congenital Heart Disease," in Proc. Information Processing in Medical Imaging, 2009, p. 563. [url]
  20. P. A. Yushkevich, J. Pluta, B. B. Avants, D. Minkoff, S. Pickup, W. Liu, J. A. Detre, M. Grossman, and J. C. Gee, "Shape-Based Alignment of Hippocampal Subfields: Evaluation in Postmortem MRI," in Proc. Medical Image Computing and Computer-Assisted Intervention, Heidelberg, 2008, pp. 510–517.
  21. H. Sun, B. B. Avants, A. F. Frangi, F. Sukno, J. C. Gee, and P. A. Yushkevich, "Cardiac Medial Modeling and Time-Course Heart Wall Thickness Analysis," in Proc. Medical Image Computing and Computer-Assisted Intervention, Heidelberg, 2008, pp. 766–773.
  22. S. P. Awate, L. Win, P. A. Yushkevich, R. Schultz, and J. C. Gee, "3D cerebral cortical morphometry in autism: increased folding in frontal, parietal, and temporal lobes in children and adolescents," in Proc. Medical Image Computing and Computer-Assisted Intervention, Heidelberg, 2008, pp. 559–567.
  23. P. A. Yushkevich, B. B. Avants, J. Pluta, D. Minkoff, S. Pickup, W. Liu, J. A. Detre, M. Grossman, and J. C. Gee, "Building an atlas of hippocampal subfields using postmortem MRI," in Proc. IEEE International Symposium on Biomedical Imaging, Piscataway, 2008,
  24. S. R. Das, D. Mechanic-Hamilton, M. Korczykowski, B. B. Avants, J. A. Detre, J. C. Gee, and P. A. Yushkevich, "Spatial Correspondence Based Asymmetry Analysis in fMRI," in Proc. IEEE International Symposium on Biomedical Imaging, Piscataway, 2008,
  25. H. Sun, B. B. Avants, A. F. Frangi, S. Ordas, J. C. Gee, and P. A. Yushkevich, "Branching medial models for cardiac shape representation," in Proc. IEEE International Symposium on Biomedical Imaging, Piscataway, 2008, pp. 1485–1488.
  26. H. Zhang, P. A. Yushkevich, T. J. Simon, and J. C. Gee, "Surface-Based Modeling of White Matter Fasciculi with Orientation Encoding," in Proc. IEEE International Symposium on Biomedical Imaging, Piscataway, 2008, pp. 708–711.
  27. P. A. Yushkevich, J. A. Detre, and J. C. Gee, "Non-uniform smoothing in hippocampus-specific group fMRI analysis," in Proc. IEEE International Symposium on Biomedical Imaging, Piscataway, 2007, pp. 420–423.
  28. H. Zhang, P. A. Yushkevich, D. Rueckert, and J. C. Gee, "Unbiased white matter atlas construction using diffusion tensor images," in Proc. Medical Image Computing and Computer-Assisted Intervention, Heidelberg, 2007, pp. 211–218.
  29. H. Sun, P. A. Yushkevich, H. Zhang, P. A. Cook, J. T. Duda, T. J. Simon, and J. C. Gee, "Evaluation of shape-based normalization in the corpus callosum for white matter connectivity analysis," in Proc. Medical Image Computing and Computer-Assisted Intervention, Heidelberg, 2007, pp. 777–784.
  30. P. A. Yushkevich, J. A. Detre, K. Z. Tang, A. Hoang, D. Mechanic-Hamilton, M. A. Fernández-Seara, M. Korczykowski, H. Zhang, and J. C. Gee, "Hippocampus-specific fMRI group activation analysis with continuous M-Reps," in Proc. Medical Image Computing and Computer-Assisted Intervention, Heidelberg, 2006, pp. 284–291.
  31. P. A. Yushkevich, H. Zhang, and J. C. Gee, "Statistical modeling of shape and appearance using the continuous medial representation," in Proc. Medical Image Computing and Computer-Assisted Intervention, Heidelberg, 2005, pp. 725–732.
  32. P. A. Cook, H. Zhang, B. B. Avants, P. A. Yushkevich, D. C. Alexander, J. C. Gee, O. Ciccarelli, and A. J. Thompson, "An automated approach to connectivity-based partitioning of brain structures," in Proc. Medical Image Computing and Computer-Assisted Intervention, Heidelberg, 2005, pp. 164–171.
  33. H. Zhang, P. A. Yushkevich, and J. C. Gee, "Deformable registration of diffusion tensor MR images with explicit orientation optimization," in Proc. Medical Image Computing and Computer-Assisted Intervention, Heidelberg, 2005, pp. 172–179. [url]
  34. P. A. Yushkevich, H. Zhang, and J. C. Gee, "Parametric medial shape representation in 3-D via the Poisson partial differential equation with non-linear boundary conditions," in Proc. Information Processing in Medical Imaging, Heidelberg, 2005, pp. 162–173.
  35. H. Zhang, P. A. Yushkevich, and J. C. Gee, "Towards diffusion profile image registration," in Proc. IEEE International Symposium on Biomedical Imaging, Piscataway, 2004, pp. 324–327. [url] [PDF]
  36. H. Zhang, P. A. Yushkevich, and J. C. Gee, "Registration of diffusion tensor images," in Proc. Computer Vision and Pattern Recognition, Los Alamitos, 2004, pp. 842–847. [url]
  37. P. A. Yushkevich, S. Joshi, S. M. Pizer, J. Csernansky, and L. E. Wang, "Feature selection for shape-based classification of biological objects," Information Processing in Medical Imaging, vol. 2732, pp. 114–125, 2003.
  38. P. A. Yushkevich, S. M. Pizer, S. Joshi, and J. Marron, "Intuitive, Localized Analysis of Shape Variability," in Proc. Information Processing in Medical Imaging, Heidelberg, 2001, pp. 402–408.
Workshop Papers (Peer-Reviewed)
  1. P. A. Yushkevich, H. Zhang, T. J. Simon, and J. C. Gee, "Structure-Specific Statistical Mapping of White Matter Tracts using the Continuous Medial Representation," in Proc. Mathematical Methods in Biomedical Image Analysis, Piscataway, 2007, pp. 1–8.
  2. P. A. Yushkevich, B. B. Avants, L. Ng, M. Hawrylycz, P. D. Burstein, H. Zhang, and J. C. Gee, "3D Mouse Brain Reconstruction from Histology Using a Coarse-To-Fine Approach," in Proc. Biomedical Image Registration, Heidelberg, 2006, pp. 230–237.
  3. H. Sun, P. A. Yushkevich, H. Zhang, J. C. Gee, and T. J. Simon, "Efficient Generation of Shape-Based Reference Frames for the Corpus Callosum for DTI-based Connectivity Analysis," in Proc. Mathematical Methods in Biomedical Image Analysis, Piscataway, 2006, pp. 87–87.

grants

Active

R01-AG037376-01 (PI)
05/01/09 - 04/30/14
NIH/NIA
Novel Imaging Biomarkers for Treatment Evaluation in Neurodegenerative Disorders

R01-EB014346 (PI)
09/01/11 - 08/31/15
NIH/NIBIB
Continued Development and Maintenance of ITK-SNAP 3D Image Segmentation Software

Recently Completed

K25-AG027785-01 (PI)
04/01/07-01/31/12
NIH/NIA
Computational methods for regional hippocampal morphometry in AD

Penn-Pfizer Alliance Grant 10295 (PI)
01/01/09 – 12/31/10
Pfizer, Inc.
Feasibility of Subfield-Specific Biomarkers of Hippocampal Atrophy in AD and MCI.

R01 NS065347-01A1 (Co-Inv; PI: James Gee)
09/15/2009 - 08/31/2011
NIH/NINDS
Tract-Specific Analysis of Brain White Matter

R21 NS061111-01 (PI)
12/01/07-11/30/09
NIH/NINDS
Object-Centric Computational Model for Imaging Analysis

R03 EB008200 (PI)
10/01/07-09/30/08
NIH/NIBIB
Accessibility Enhancements for ITK-SNAP 3D Medical Image Segmentation Software.

K25-AG027785-01S1 (PI)
09/15/09-08/31/11
NIH/NIA
ARRA supplement to parent grant

degrees

  • PhD in Computer Science, April 2003, UNC Chapel Hill
  • MS in Computer Science, December 2000, UNC Chapel Hill
  • BS in Computer Science & Mathematics, December 1996, UNC Charlotte

current position

Assistant Professor
Department of Radiology

member since

October 2003

teaching

Biomedical Image Analysis (CIS 537)

research interests

software tools

curriculum vitae

contact information

PICSL, Department of Radiology
University of Pennsylvania School of Medicine
3600 Market Street, Suite 370
Philadelphia, PA 19104-2644
TEL: +1 215 349 8020
FAX: +1 215 615 3681
email