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1.
Longitudinal Tissue Segmentation Methods for the Aging Brain
by Schwarz, Christopher George, Ph.D.  University of California, Davis. 2012: 148 pages; 3540732.
2.
Tissue segmentation and classification of diffusion tensor MRI data: From models to man
by Freidlin, Raisa Z., D.Sc.  The George Washington University. 2008: 152 pages; 3304085.
3.
Registration and segmentation of brain MR images from elderly individuals
by Wu, Minjie, Ph.D.  University of Pittsburgh. 2009: 144 pages; 3400494.
4.
Revealing Brain Microstructure with Time-Dependent Diffusion MRI
by Lee, Hong-Hsi, Ph.D.  New York University. 2019: 245 pages; 22585437.
5.
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.
6.
Registration of Pre- and Post-Treatment Brain Images with Missing Correspondences
by Dvornek, Nicha Chitphakdithai, Ph.D.  Yale University. 2012: 161 pages; 3535400.
7.
Segmentation of Epicardial Adipose Tissue in Cardiac MRI Using Deep Learning
by Fulton, Miranda, M.S.  Southern Illinois University at Edwardsville. 2020: 54 pages; 27957747.
9.
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.
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Characterization of Structural Dynamics of the Human Head Using Magnetic Resonance Elastography
by Badachhape, Andrew A., Ph.D.  Washington University in St. Louis. 2017: 148 pages; 10687152.
16.
Postnatal maturation of the rhesus macaque brain: A longitudinal structural MRI study
by Scott, Julia Apelian, Ph.D.  University of California, Davis. 2010: 86 pages; 3404966.
17.
Automatic Real-Time Targeting of Single-Voxel Magnetic Resonance Spectroscopy
by Storrs, Judd, Ph.D.  University of Cincinnati. 2010: 118 pages; 3432351.
18.
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.
19.
The Pathophysiology of Chronic Stroke Infarcts: What Happens After Brain Tissue Dies?
by Likens, Jacob Andrew, M.S.  The University of Arizona. 2018: 50 pages; 10813111.
20.
Computational Conformal Geometry and Its Applications in Medical Imaging
by Peng, Hao, Ph.D.  State University of New York at Stony Brook. 2018: 90 pages; 13425128.
22.
Gray Matter Surface-Based Spatial Statistics in Neuroimaging Studies
by Parvathaneni, Prasanna, Ph.D.  Vanderbilt University. 2019: 171 pages; 13810802.
23.
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.
24.
Surface-based image segmentation using application-specific priors
by Veni, Gopalkrishna, Ph.D.  The University of Utah. 2016: 122 pages; 10248529.
25.
Image-guided intraoperative brain deformation recovery
by DeLorenzo, Christine, Ph.D.  Yale University. 2007: 145 pages; 3293403.
26.
Brain encoding of saltatory velocity-scaled somatosensory array in glabrous hand among neurotypical adults
by Oh, Hyuntaek, Ph.D.  The University of Nebraska - Lincoln. 2016: 151 pages; 10173006.
27.
Image-based tissue growth modeling and prediction
by Nordquist, Andrew L., M.S.  The University of Texas at San Antonio. 2013: 120 pages; 1550349.
28.
Multi-Modal Optical Methods for Intra-Procedural Evaluation of Breast Specimens
by Wilson, Rebecca Anne, Ph.D.  University of Rochester. 2012: 302 pages; 3543334.
29.
Deep Learning for Digital Histopathology across Multiple Scales
by Hou, Le, Ph.D.  State University of New York at Stony Brook. 2019: 177 pages; 27670274.
30.
A computational model for traumatic brain injury based on an axonal injury criterion
by Wright, Rika Marie, Ph.D.  The Johns Hopkins University. 2012: 257 pages; 3528810.
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