Dr. Martin A. Styner
Associate Professor at Univ of North Carolina at Chapel Hill
SPIE Involvement:
Conference Program Committee | Conference Chair | Author | Editor | Instructor
Area of Expertise:
Medical Image Analysis , Shape Analysis , Diffusion Tensor Imaging
Websites:
Profile Summary

Martin Styner is an assistant professor in the Department of Psychiatry with a joint appointment in the Department of Computer Science at the University of North Carolina at Chapel Hill (UNC). As co-director of the UNC Neuro Image Research and Analysis Laboratory and associate director of the Developmental Neuroimaging Core in the Carolina Institute for Developmental Disabilities at UNC, he oversees medical imaging research projects in the field of neurodevelopment. Dr. Styner began his research in the field of medical image analysis in 1994 as a graduate student at the Swiss Federal Institute of Technology ETH Zurich, Switzerland. He received his Masters in 1997 from ETH Zurich and subsequently his Ph.D. in 2001 from UNC. From 2001-2002, Dr. Styner held the position of project leader at the Duke Image Analysis Laboratory in Durham, NC. From 2002 to 2004, he founded and headed a thriving research group in Medical Image Analysis for 2 years at the M.E. Müller Research Center, University of Bern, Switzerland. In 2004, Dr. Styner joined the faculty at the University of North Carolina. He has participated in leading positions in several national and international projects with close interdisciplinary cooperation with researchers in the fields of medicine, engineering, industry and computer science. Dr. Styner has co-authored 28 papers in peer reviewed journals and 64 papers in peer reviewed conferences. He is on the editorial board of “Medical Image Analysis”, the premier journal in the field of medical image analysis. His main field of expertise is in medical image processing and analysis. He has an extensive background in anatomical structure and tissue segmentation, structural brain morphometry, modeling, atlas building, diffusion tensor imaging, small animal and primate imaging, as well as intra and inter-modality registration.
Publications (71)

Proceedings Article | 15 March 2019
Proc. SPIE. 10953, Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging
KEYWORDS: Image fusion, Visualization, Tissues, Magnetic resonance imaging, Image segmentation, Mercury, Image registration, Optical inspection, Neuroimaging, Brain

Proceedings Article | 15 March 2019
Proc. SPIE. 10949, Medical Imaging 2019: Image Processing
KEYWORDS: Statistical analysis, Data modeling, 3D modeling, Motion models, Statistical modeling, Amygdala

Proceedings Article | 15 March 2019
Proc. SPIE. 10953, Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging
KEYWORDS: Statistical analysis, Data modeling, Visualization, Data storage, Databases, Shape analysis, Dentistry, Data centers, 3D image processing, Data analysis

Proceedings Article | 15 March 2019
Proc. SPIE. 10953, Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging
KEYWORDS: Medical image reconstruction, Shape analysis, Optimization (mathematics)

Proceedings Article | 13 March 2019
Proc. SPIE. 10950, Medical Imaging 2019: Computer-Aided Diagnosis
KEYWORDS: Diffusion, Bone, Neural networks, Shape analysis, Machine learning, Dentistry, Evolutionary algorithms

Proceedings Article | 12 March 2018
Proc. SPIE. 10578, Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging
KEYWORDS: Data modeling, Image segmentation, 3D modeling, Bone, Neural networks, Shape analysis, Computed tomography, Biological research, Spherical lenses, Arthritis

Showing 5 of 71 publications
Conference Committee Involvement (13)
Image Processing
15 February 2020 | Houston, Texas, United States
Image Processing
19 February 2019 | San Diego, California, United States
Image Processing
11 February 2018 | Houston, Texas, United States
Image Processing
12 February 2017 | Orlando, Florida, United States
Image Processing Posters
12 February 2017 | Orlando, FL, United States
Showing 5 of 13 published special sections
Course Instructor
SC1065: Exploring Brain Connectivity in-vivo: from Theory to Practice
The development of Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) has opened up the possibility of studying the complex organization of the brain's white matter in-vivo. By measuring the diffusion of water molecules in tissues, the technique gives insights into the structure and orientation of major white matter pathways, and DT-MRI findings have the potential to play a critical role in the extraction of meaningful information for diagnosis, prognosis and following of treatment response. The course will guide participants through the fundamental aspects of DT-MRI data analysis, as well as the challenges of transferring cutting-edge DT-MRI techniques to clinical routine. The format will include a series of hands-on sessions with the participants running DT-MRI analysis on their own laptops, to provide a practical experience of extracting useful clinical information from Diffusion MR images. Participants will be guided through an integrated workflow for exploring the brain white matter in a series of datasets that will be provided as part of the course. The hands-on sessions will use DT-MRI tools from the NA-MIC toolkit, which include the 3DSlicer software, an open-source platform for medical image processing and 3D visualization used in biomedical and clinical research. This event is part of the on-going effort of the NIH-funded National Alliance for Medical Image Computing (NA-MIC) to transfer the latest advances in biomedical image analysis to the scientific and clinical community. <i>This course is intended as a companion to SC1063, Diffusion Imaging. Attendees will benefit maximally by attending both courses.</i>
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