John M. Gauch
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Also affiliated: University of North Carolina at Chapel Hill (1988–2002); Northeastern University (1991–2003); North Carolina State University (2002–2005); University of Kansas (1994–2007); University of Kansas Medical Center (2002)
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
John M. Gauch's research has focused on image processing and analysis, with applications in areas such as medical imaging and remote sensing. His work has involved developing and comparing algorithms for image segmentation, noise removal, and feature detection across various image types and color spaces. He has investigated multiresolution analysis techniques for identifying structures within grey-scale images, including applications in analyzing topographical data from glaciers and ice sheets.
In the medical domain, Gauch's research includes the analysis of retinal images, specifically focusing on the location of the preferred retinal locus relative to the fovea in scanning laser ophthalmoscope images. This work is supported by his expertise in medical imaging techniques and applications. His publications also touch upon broader educational constructs, such as e-learning and programmatic research in future educational environments, reflecting an interest in research and education methodologies.
Gauch's scholarly contributions are evidenced by a substantial publication record of 85 works, accumulating over 1,500 citations and an h-index of 20. He has collaborated with several colleagues at the University of Arkansas at Fayetteville, including Reeshad Khan, Pha Nguyen, Ukash Nakarmi, and David Fredrick, on shared publications.
Metrics
- h-index: 20
- Publications: 85
- Citations: 1,581
Selected Publications
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Adaptive Extensions of Unbiased Risk Estimators for Unsupervised Magnetic Resonance Image Denoising (2026)
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Beyond Bayer: Task-Optimal Sensor Co-Design for Robust Autonomous-Driving Segmentation (2026)arXiv (Cornell University) OpenAlex
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TinyBEV: Cross-Modal Knowledge Distillation for Efficient Multi-Task Bird's-Eye-View Perception and Planning (2025)
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From Noise Estimation to Restoration: A Unified Diffusion and Bayesian Risk Approach for Unsupervised Denoising (2025)
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OrthoNets: Orthogonal Channel Attention Networks (2023)
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Transfer Learning Methods for Extracting, Classifying and Searching Large Collections of Historical Images and Their Captions (2021)
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Detecting Gestures Through a Gesture-Based Interface to Teach Introductory Programming Concepts (2020)
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Ransac Based Motion Compensated Restoration for Colonoscopy Images (2019)
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An Automated Technique to Recognize and Extract Images from Scanned Archaeological Documents (2019)
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Ransac Based Motion Compensated Restoration for Colonoscopy Images (2019)
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Motion Compensated Restoration of Colonoscopy Images (2019)
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Teaching Introductory Programming Concepts Through a Gesture-Based Interface (2018)
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Terahertz Imaging of Three-Dimensional Dehydrated Breast Cancer Tumors (2017)
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Adaptive enhancement and visualization techniques for 3D THz images of breast cancer tumors (2016)
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Time of flight THz imaging of 3D ex-vivo breast cancer tumor tissues (2015)
Collaboration Network
Top Collaborators
- Social Network Analysis of Virtual Worlds
- Supporting data collection in virtual worlds
- Supporting Distributed Search in Virtual Worlds
- Social Network Analysis of Virtual Worlds
- Supporting data collection in virtual worlds
- Supporting Distributed Search in Virtual Worlds
- Terahertz Imaging of Three-Dimensional Dehydrated Breast Cancer Tumors
- Time of flight THz imaging of 3D ex-vivo breast cancer tumor tissues
- Adaptive enhancement and visualization techniques for 3D THz images of breast cancer tumors
- Terahertz Imaging of Three-Dimensional Dehydrated Breast Cancer Tumors
- Time of flight THz imaging of 3D ex-vivo breast cancer tumor tissues
- Adaptive enhancement and visualization techniques for 3D THz images of breast cancer tumors
- Terahertz Imaging of Three-Dimensional Dehydrated Breast Cancer Tumors
- Time of flight THz imaging of 3D ex-vivo breast cancer tumor tissues
- Adaptive enhancement and visualization techniques for 3D THz images of breast cancer tumors
- Motion Compensated Restoration of Colonoscopy Images
- Ransac Based Motion Compensated Restoration for Colonoscopy Images
- Ransac Based Motion Compensated Restoration for Colonoscopy Images
- From Noise Estimation to Restoration: A Unified Diffusion and Bayesian Risk Approach for Unsupervised Denoising
- TinyBEV: Cross-Modal Knowledge Distillation for Efficient Multi-Task Bird's-Eye-View Perception and Planning
- Adaptive Extensions of Unbiased Risk Estimators for Unsupervised Magnetic Resonance Image Denoising
- Terahertz Imaging of Three-Dimensional Dehydrated Breast Cancer Tumors
- Time of flight THz imaging of 3D ex-vivo breast cancer tumor tissues
- Supporting data collection in virtual worlds
- Supporting Distributed Search in Virtual Worlds
- Teaching Introductory Programming Concepts Through a Gesture-Based Interface
- Detecting Gestures Through a Gesture-Based Interface to Teach Introductory Programming Concepts
- An Automated Technique to Recognize and Extract Images from Scanned Archaeological Documents
- Transfer Learning Methods for Extracting, Classifying and Searching Large Collections of Historical Images and Their Captions
- An Automated Technique to Recognize and Extract Images from Scanned Archaeological Documents
- Transfer Learning Methods for Extracting, Classifying and Searching Large Collections of Historical Images and Their Captions
- An Automated Technique to Recognize and Extract Images from Scanned Archaeological Documents
- Transfer Learning Methods for Extracting, Classifying and Searching Large Collections of Historical Images and Their Captions
- From Noise Estimation to Restoration: A Unified Diffusion and Bayesian Risk Approach for Unsupervised Denoising
- Adaptive Extensions of Unbiased Risk Estimators for Unsupervised Magnetic Resonance Image Denoising
- Social Network Analysis of Virtual Worlds
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