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4.
Truthmarker: A tablet-based approach for rapid image annotation
by Christopher, Mark Allen, M.S.  The University of Iowa. 2011: 56 pages; 1505948.
5.
Applications of Operations Research Techniques for Detection of Anatomical Structures in Medical Images
by Balasooriya, Maduka, M.S.  Southern Illinois University at Edwardsville. 2017: 78 pages; 10603509.
7.
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.
8.
Image enhancement using a joint algorithm of white balancing and contrast enhancement
by Avuthu, Lakshmidhar Reddy, M.S.  California State University, Long Beach. 2016: 42 pages; 10111199.
9.
Registration of Pre- and Post-Treatment Brain Images with Missing Correspondences
by Dvornek, Nicha Chitphakdithai, Ph.D.  Yale University. 2012: 161 pages; 3535400.
10.
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.
11.
Near-field holographic display for in-situ merger of real-time tomographic data with direct vision
by Galeotti, John Michael, Ph.D.  Carnegie Mellon University. 2007: 89 pages; 3281229.
13.
Texture Representations for Image Retrieval
by Shafer, Scott A., M.S.  The George Washington University. 2012: 65 pages; 1510228.
14.
Applying Visual Routines in a Cognitive Model of Visual Analysis
by Anderson, Blake, M.S.  University of Missouri - Columbia. 2010: 81 pages; 13849371.
16.
Computer Aided System for Detecting Masses in Mammograms
by Jirari, Mohammed, Ph.D.  Kent State University. 2008: 138 pages; 10631022.
19.
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.
20.
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.
21.
Multimodal Deep Learning to Enhance the Practice of Radiology
by Badgeley, Marcus Alexander, Ph.D.  Icahn School of Medicine at Mount Sinai. 2019: 236 pages; 10974774.
22.
Robust Image-Based Modeling and Simulation in Biomechanics
by Hafez, Omar Mohamed, Ph.D.  University of California, Davis. 2018: 151 pages; 10746888.
23.
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.
24.
Cognitive task analysis for instruction in single-injection ultrasound guided-regional anesthesia
by Gucev, Gligor V., Ed.D.  University of Southern California. 2012: 92 pages; 3513770.
25.
26.
A proposed framework for forensic image enhancement
by Ledesma, Spencer Aguila, M.S.  University of Colorado at Denver. 2015: 109 pages; 1605105.
27.
Registration and segmentation of brain MR images from elderly individuals
by Wu, Minjie, Ph.D.  University of Pittsburgh. 2009: 144 pages; 3400494.
28.
Regional lung function and mechanics using image registration
by Ding, Kai, Ph.D.  The University of Iowa. 2010: 178 pages; 3422235.
29.
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.
30.
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.
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