Daniel S. Cho
Daniel S. Cho
Ph.D student, Systems Design Engineering, University of Waterloo
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Cited by
Cited by
Accuracy considerations in image-guided cardiac interventions: experience and lessons learned
CA Linte, P Lang, ME Rettmann, DS Cho, DR Holmes III, RA Robb, ...
International journal of computer assisted radiology and surgery 7 (1), 13-25, 2012
Enhanced classification of malignant melanoma lesions via the integration of physiological features from dermatological photographs
S Haider, D Cho, R Amelard, A Wong, DA Clausi
Multi-penalty conditional random field approach to super-resolved reconstruction of optical coherence tomography images
A Boroomand, A Wong, E Li, DS Cho, B Ni, K Bizheva
Biomedical optics express 4 (10), 2032-2050, 2013
Numerical demultiplexing of color image sensor measurements via non-linear random forest modeling
J Deglint, F Kazemzadeh, D Cho, DA Clausi, A Wong
Scientific reports 6 (1), 1-9, 2016
Physiological characterization of skin lesion using non-linear random forest regression model
DS Cho, S Haider, R Amelard, A Wong, D Clausi
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014
Low-dose computed tomography via spatially adaptive Monte–Carlo reconstruction
D Lui, A Cameron, A Modhafar, DS Cho, A Wong
Computerized Medical Imaging and Graphics 37 (7), 438-449, 2013
Predicting target vessel location on robot-assisted coronary artery bypass graft using CT to ultrasound registration
DS Cho, C Linte, ECS Chen, D Bainbridge, C Wedlake, J Moore, J Barron, ...
Medical physics 39 (3), 1579-1587, 2012
Estimating heart shift and morphological changes during minimally invasive cardiac interventions
CA Linte, M Carias, DS Cho, DF Pace, J Moore, C Wedlake, D Bainbridge, ...
SPIE Medical Imaging, 762509-762509-11, 2010
Predicting target vessel location for improved planning of robot-assisted CABG procedures
DS Cho, CA Linte, E Chen, C Wedlake, J Moore, J Barron, R Patel, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010, 205-212, 2010
Dermal radiomics for melanoma screening
D Cho, D Clausi, A Wong
Journal of Computational Vision and Imaging Systems 1 (1), 2015
Quantitative features for computer-aided melanoma classification using spatial heterogeneity of eumelanin and pheomelanin concentrations
DS Cho, S Haider, R Amelard, A Wong, DA Clausi
Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, 59-62, 2015
Prostate DWI Co-Registration via Maximization of Hybrid Statistical Likelihood and Cross-Correlation for Improved ADC and Computed Ultra-High b-value DWI Calculation
DS Cho, F Khalvati, A Wong, MA Haider
Proceedings of International Society for Magnetic Resonance in Medicine …, 2015
A machine learning-driven approach to computational physiological modeling of skin cancer
DS Cho, F Khalvati, DA Clausi, A Wong
International Conference Image Analysis and Recognition, 79-86, 2017
Investigating Perioperative Heart Migration During Robot-Assisted Coronary Artery Bypass Grafting Interventions
CA Linte, DS Cho, C Wedlake, J Moore, E Chen, D Bainbridge, R Patel, ...
Innovations: Technology and Techniques in Cardiothoracic and Vascular …, 2011
Markov-chain Monte Carlo-based image reconstruction for streak artefact reduction on contrast-enhanced computed tomography
DS Cho, A Wong, JP Callaghan, J Yates, DA Clausi
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2014
Estimating heart movement and morphological changes during robot-assisted coronary artery bypass graft interventions
MA Carias, CA Linte, DS Cho, TM Peters
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