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1.
Deep Learning for Segmented Medical Image Analysis
by Cheong, Vincent K., M.S.  California State University, Long Beach. 2019: 53 pages; 13858079.
2.
Deep Learning Methods for Medical Image Computing
by Liao, Haofu, Ph.D.  University of Rochester. 2019: 237 pages; 27737049.
4.
Kidney segmentat ion and image analysis in autosomal dominant polycystic kidney disease
by Warner, Joshua Dale, Ph.D.  College of Medicine - Mayo Clinic. 2016: 267 pages; 10111486.
5.
Registration of Pre- and Post-Treatment Brain Images with Missing Correspondences
by Dvornek, Nicha Chitphakdithai, Ph.D.  Yale University. 2012: 161 pages; 3535400.
8.
Thermographic Image Analysis with Gabor Filters
by Alvandipour, Mehrdad, M.S.  Southern Illinois University at Edwardsville. 2017: 42 pages; 10616514.
9.
Characterization and Biomechanical Analysis of Pulmonary Disease Using Varifold-Based CT Image Registration
by Pan, Yue, Ph.D.  The University of Iowa. 2020: 169 pages; 28157315.
11.
Image segmentation and paired shapes asymmetry quantification: An application in a Drosophila wing image set
by Young, Gregory D., M.S.  California State University, Long Beach. 2015: 81 pages; 1589666.
12.
Graphical User Interface for the CVIP MATLAB Toolbox with Application to Syrinx Detection in Veterinary Thermographic Images
by Cuellar Buritica, Julian Rene, M.S.  Southern Illinois University at Edwardsville. 2019: 132 pages; 13900325.
13.
Image-based tissue growth modeling and prediction
by Nordquist, Andrew L., M.S.  The University of Texas at San Antonio. 2013: 120 pages; 1550349.
16.
Surface-based image segmentation using application-specific priors
by Veni, Gopalkrishna, Ph.D.  The University of Utah. 2016: 122 pages; 10248529.
17.
Development of PET Radiotracers to Image Bacterial Infection and Novel Antibacterial Agents
by Li, Yong, Ph.D.  State University of New York at Stony Brook. 2020: 194 pages; 28091106.
18.
Analysis of retinal vessel networks using quantitative descriptors of vascular morphology
by Joshi, Vinayak Shivkumar, Ph.D.  The University of Iowa. 2012: 181 pages; 3526985.
19.
Longitudinal Tissue Segmentation Methods for the Aging Brain
by Schwarz, Christopher George, Ph.D.  University of California, Davis. 2012: 148 pages; 3540732.
20.
High-throughput Visual Knowledge Analysis and Retrieval in Big Data Ecosystems
by Cao, Hongfei, Ph.D.  University of Missouri - Columbia. 2015: 121 pages; 13877134.
21.
Thermographic Image Analysis as a Pre-Screening Tool for the Detection of Canine Bone Cancer
by Subedi, Samrat, M.S.  Southern Illinois University at Edwardsville. 2014: 131 pages; 1583211.
23.
3D Image Registration of Dental Cone Beam Computed Tomography (CBCT) for Dental Treatment Recovery
by Rannulu, Chinthaka, M.S.  Southern Illinois University at Edwardsville. 2019: 82 pages; 13866151.
25.
Image analysis for realistic electromagnetic imaging systems
by Ramirez-Velez, Mabel Delice, Ph.D.  University of Colorado at Boulder. 2009: 172 pages; 3366658.
26.
Prediction of tumor deformation for Image Guided Radiation Therapy
by Hoog Antink, Christoph Bernhard, M.S.  State University of New York at Buffalo. 2011: 166 pages; 1495438.
27.
3d Modeling and Analysis of Cardiac Adipose Tissue Using Echocardiographic Images: A Feasibility Study
by Daysal, Elif, M.S.  Southern Illinois University at Edwardsville. 2020: 45 pages; 27744503.
28.
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.
30.
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.
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