Daniel S. Cho

Ph.D. Candidate

Short biography

Daniel ChoI received a bachelor’s degree in biomedical computing at the Queen’s University, and a M.E.Sc degree in biomedical engineering at the University of Western Ontario. I am a current PhD student at the University of Waterloo. 

Supervisors

Alexander WongDavid A. Clausi

Research interests

My research interests are in image processing, medical image registration and reconstruction and I am currently working on computer-aided melanoma (one type of skin cancer) diagnosis through the modeling of physiological characteristics of skin lesions using multi-spectral imagery.

Research topics

Biomedical Imaging

Computer Vision

Image Segmentation/Classification

Research demos

Enhanced Low-dose Computed Tomography

Skin Cancer Detection

Publications

Journal articles

Boroomand, A.A. Wong, E. Li, D. Cho, B. Ni, and K. Bizheva, "Multi-penalty conditional random field approach to super-resolved reconstruction of optical coherence tomography images", Biomedical Optics Express, Accepted.Details

Cho, D.A. WongD. A. Clausi, J. Callaghan, and J. Yates, "Markov-Chain Monte Carlo based Image Reconstruction for Streak Artifact Reduction on Contrast Enhanced Computed Tomography", Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Accepted. Details

Lui, D.A. Cameron, A. Modhafar, D. Cho, and A. Wong, "Low-dose computed tomography via Spatially-adaptive Monte Carlo reconstruction", Computerized Medical Imaging and Graphics, vol. 37, issue 7-8, pp. 438 - 449, October, 2013. Details

Conference papers

Cho, D.S. HaiderR. AmelardA. Wong, and D. A. Clausi, "Physiological Characterization of Skin Lesion using Non-linear Random Forest Regression Model", 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sheraton Chicago Hotel and Towers Chicago, IL, USA, pp. 3349-3352, September, 2014. Details

Haider, S.D. ChoR. AmelardA. Wong, and D. A. Clausi, "Enhanced classification of malignant melanoma lesions via the integration of physiological features from dermatological photographspdf", 36th Annual International IEEE Engineering in Medicine and Biology Society Conference, Sheraton Chicago Hotel and Towers Chicago, IL, USA, pp. 6455-6458, September, 2014. Details

Affiliation: 
University of Waterloo

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