Research Interest: Medical Imaging
| Name | PhD Program | Research Interest | Publications |
|---|---|---|
| Yap, Pew-Thian WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Dr. Pew-Thian Yap is a Professor of the Department of Radiology and the Director of the Image Analysis Core of the Biomedical Research Imaging Center (BRIC) at the University of North Carolina at Chapel Hill. He leads a wide range of research spanning image acquisition, reconstruction, quality control, harmonization, processing, and analysis with applications in neuroscience, disease diagnosis, and surgical planning. |
| Carmichael, Iain WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
My lab builds data driven, computational systems to analyze high-resolution histology images of diseased tissue as well as other clinical data sources to improve clinical decision making and advance basic scientific investigation of disease processes. Keywords: Artificial intelligence, computer vision/medical image analysis, natural language processing, deep-learning, open-source software, multi-omic analysis, digital pathology, multiplex immunofluorescence, spatial transcriptomics, cancer |
| Stanley, Natalie WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
We are a computational biology lab jointly located between the department of computer science and the computational medicine program. We develop new methods for automated, efficient, and unbiased analysis of immune profiling data, such as, flow cytometry, mass cytometry, and imaging mass cytometry. Our work specifically seeks to link particular immune cell-types and their functional responses to clinical or experimental phenotypes. Application areas of interest include, vaccine development, T-cell differentiation and designing more effective immunotherapies, neurodegenerative diseases, sexually transmitted diseases, and pregnancy. To design scalable and automated tools for these data, we develop and apply new methods using machine learning and graph signal processing. |
| Hwang, Janice PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
My group is interested in understanding the effects of obesity and diabetes on the brain, particularly related to cerebral function and energetics. We conduct physiology based, mechanistic human and rodent studies to investigate fundamental questions such as how does the brain sense various nutrients (sugar, fat, etc), how does metabolic disease, sleep, aging impact brain function and metabolism? Using classic human metabolic techniques including hyperinsulinemic and hyper/hypoglycemic clamps coupled with advanced neuroimaging modalities including 1H and 13C magnetic resonance spectroscopy, functional MRI, and PET-CT imaging, my group has shown that glucose transport capacity into the human brain can be modified by factors such as obesity and insulin resistance as well as hyperglycemia, hypoglycemia and glycemic variability. We also have interests in using novel human imaging modalities to understand how obesity and diabetes impact neuroinflammation and neurodegeneration. |