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1.
Role of circulating T cells in autoimmune kidney disease: Implications for ANCA disease and minimal change disease
by Free, Meghan Elizabeth, Ph.D.  The University of North Carolina at Chapel Hill. 2013: 109 pages; 3562727.
2.
Firmware and classification algorithm development for vehicle classification
by Ravindra, Dilip, M.S.  California State University, Long Beach. 2015: 37 pages; 1603749.
6.
Redefining radiologic response for patients with malignant pleural mesothelioma
by Labby, Zacariah Evan, Ph.D.  The University of Chicago. 2012: 244 pages; 3513653.
7.
Kernel Based Relevance Vector Machine for Classification of Diseases
by Tcheimegni, Elie, D.Sc.  Bowie State University. 2013: 202 pages; 3558597.
8.
Optimized Veterinary Thermographic Image Classification using Support Vector Machines and Noise Mitigation
by Lama, Norsang, M.S.  Southern Illinois University at Edwardsville. 2017: 56 pages; 10616467.
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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.
12.
Electrophysiological Indices of Disease Status in Multiple Sclerosis
by Siegel, Kasey B., Ph.D.  Yeshiva University. 2019: 180 pages; 27794087.
13.
A Probabilistic Biomarker for Alzheimer's Disease
by Ayhan, Murat Seckin, Ph.D.  University of Louisiana at Lafayette. 2015: 103 pages; 10002384.
15.
Various considerations on performance measures for a classification of ordinal data
by Nyongesa, Denis Barasa, M.S.  California State University, Long Beach. 2016: 111 pages; 10133995.
16.
Classification accuracy of logistic regression models under misspecifications
by Zhang, Enhan, Ph.D.  New York University. 2014: 137 pages; 3635317.
17.
Link Discovery through Iterative Link Classification: Towards a Real-Time Analysis of Graph Evolution
by Pusala, Murali Krishna, Ph.D.  University of Louisiana at Lafayette. 2018: 116 pages; 10846556.
18.
High level integration of genomic data for improving prediction, prognostication and classification of breast tumors
by Weigman, Victor John, Jr., Ph.D.  The University of North Carolina at Chapel Hill. 2010: 173 pages; 3428408.
19.
Advanced computer-aided diagnosis and prognosis for breast MRI
by Bhooshan, Neha, Ph.D.  The University of Chicago. 2010: 233 pages; 3432700.
21.
Clustering Methods for Discovering Patterns in the Alzheimer's Disease Neuroimaging Initiative (ADNI) Data
by Fraundorf, Scott, M.S.  Southern Illinois University at Edwardsville. 2019: 213 pages; 13877627.
22.
Using Thermographic Image Analysis in Detection of Canine Anterior Cruciate Ligament Rupture Disease
by Fu, Jiyuan, M.S.  Southern Illinois University at Edwardsville. 2014: 88 pages; 1582920.
23.
Disease Severity and Disability in Persons with Peripheral Arterial Disease
by Widener, Jeanne Malcom, Ph.D.  The Ohio State University. 2008: 153 pages; 10631377.
24.
Acoustic Methods of Pulmonary Disease Diagnosis
by Rao, Adam, Ph.D.  University of California, San Francisco. 2019: 155 pages; 13859752.
25.
Nutrition and Inflammatory Bowel Disease: A curriculum for patients with Crohn's disease and ulcerative colitis
by Barahona, Megan, M.S.  California State University, Long Beach. 2016: 171 pages; 10142988.
26.
A Software Framework for the Detection and Classification of Biological Targets in Bio-Nano Sensing
by Hafeez, Abdul, Ph.D.  Virginia Polytechnic Institute and State University. 2014: 112 pages; 10595350.
27.
Classification of Placental Chorionic Surface Vasculature Network Features Using Machine Learning Techniques
by Hambarsoomian, Hike, M.S.  California State University, Long Beach. 2017: 50 pages; 10603969.
29.
A statistical method for selection, classification, and network construction in genetic systems
by Apitz, Juan Carlos, M.S.  California State University, Long Beach. 2016: 48 pages; 10127023.
30.
Time-resolved fluorescence techniques for atherosclerotic cardiovascular disease characterization
by Phipps, Jennifer Elizabeth, Ph.D.  University of California, Davis. 2011: 118 pages; 3456860.
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