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1.
Redefining radiologic response for patients with malignant pleural mesothelioma
by Labby, Zacariah Evan, Ph.D.  The University of Chicago. 2012: 244 pages; 3513653.
2.
Registration and segmentation of brain MR images from elderly individuals
by Wu, Minjie, Ph.D.  University of Pittsburgh. 2009: 144 pages; 3400494.
3.
Partial meniscectomy and osteoarthritis: Evaluation with quantitative magnetic resonance imaging
by Bowers, Megan E., Ph.D.  Brown University. 2010: 205 pages; 3430161.
4.
Scientific visualization techniques for volume fraction data and function fields
by Anderson, John Carl, Ph.D.  University of California, Davis. 2009: 84 pages; 3369921.
5.
Longitudinal Tissue Segmentation Methods for the Aging Brain
by Schwarz, Christopher George, Ph.D.  University of California, Davis. 2012: 148 pages; 3540732.
6.
3D Modeling and Regional Assessment of Cardiac Adipose Tissue Distribution Based on Cardiac MRI Images
by Naz, Mete, M.S.  Southern Illinois University at Edwardsville. 2019: 38 pages; 13878254.
7.
Computerized segmentation and measurement of pleural disease
by Sensakovic, William F., Ph.D.  The University of Chicago. 2010: 253 pages; 3408665.
10.
A framework for computer aided diagnosis and analysis of the neuro-vasculature
by Chowriappa, Ashirwad, Ph.D.  State University of New York at Buffalo. 2014: 203 pages; 3612958.
11.
Surface-based image segmentation using application-specific priors
by Veni, Gopalkrishna, Ph.D.  The University of Utah. 2016: 122 pages; 10248529.
12.
Surface wrapping: A deformable mesh approach to semi-automatic 3D volume segmentation
by Carlson, James A., Ph.D.  University of Colorado at Boulder. 2010: 142 pages; 3404043.
13.
Development and Validation of Adipose Tissue Segmentation Algorithms in Dixon MRI and Echocardiography Scans
by Elliott, Addison, M.S.  Southern Illinois University at Edwardsville. 2019: 111 pages; 10788679.
15.
Development of a protocol for 3-D reconstruction of brain aneurysms from volumetric image data
by Welch, David Michael, M.S.  The University of Iowa. 2010: 100 pages; 1499566.
16.
Towards Temporal Semantic Scene Understanding
by Ghafarianzadeh, Mahsa, Ph.D.  University of Colorado at Boulder. 2017: 152 pages; 10271366.
17.
Lung CT Radiomics: An Overview of Using Images as Data
by Hawkins, Samuel Hunt, Ph.D.  University of South Florida. 2017: 102 pages; 10633857.
19.
Machine Learning Methods for 3D Object Classification and Segmentation
by Le, Truc Duc, Ph.D.  University of Missouri - Columbia. 2018: 158 pages; 13877153.
21.
Hybrid deformable image registration - with application to brains, pelvises, and statistical atlases
by Ellingsen, Lotta Maria, Ph.D.  The Johns Hopkins University. 2008: 196 pages; 3309813.
22.
Automated Quantification of Biological Microstructures Using Unbiased Stereology
by Bonam, Om Pavithra, M.S.C.S.  University of South Florida. 2011: 68 pages; 1496759.
23.
The image torque operator for mid-level vision: Theory and experiment
by Nishigaki, Morimichi, Ph.D.  University of Maryland, College Park. 2012: 142 pages; 3553456.
24.
Contour trees and cross-sections of multiphase segmentations
by Dillard, Scott Edward, Ph.D.  University of California, Davis. 2009: 143 pages; 3369925.
25.
Importance-driven transfer function design for volume visualization of medical images
by Lile, Cai, Ph.D.  National University of Singapore (Singapore). 2015: 119 pages; 10005977.
26.
Computation of three-dimensional implant coordinates for prostate brachytherapy
by Jain, Ameet Kumar, Ph.D.  The Johns Hopkins University. 2008: 320 pages; 3288604.
27.
New Deep Learning Based Approaches for Biomedical Image Segmentation and Related Problems
by Yang, Lin, Ph.D.  University of Notre Dame. 2018: 129 pages; 13836469.
28.
Variational image segmentation based on pixel pairwise similarities
by Bertelli, Luca, Ph.D.  University of California, Santa Barbara. 2009: 192 pages; 3350379.
29.
Addressing informality in processing Chinese microtext
by Wang, Aobo, Ph.D.  National University of Singapore (Singapore). 2015: 108 pages; 10006095.
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