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Brandon Chan
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Journal Articles
- 2020
- [j3]Brandon Chan, John F. Rudan, Parvin Mousavi, Manuela Kunz:
Intraoperative integration of structured light scanning for automatic tissue classification: a feasibility study. Int. J. Comput. Assist. Radiol. Surg. 15(4): 641-649 (2020) - 2016
- [j2]Brandon Chan, Jason Auyeung, John F. Rudan, Randy E. Ellis, Manuela Kunz:
Intraoperative application of hand-held structured light scanning: a feasibility study. Int. J. Comput. Assist. Radiol. Surg. 11(6): 1101-1108 (2016) - 2013
- [j1]Jonathan Lazar, Brian Wentz, Abdulelah Almalhem, Alexander Catinella, Catalin Antonescu, Yeveniy Aynbinder, Michael Bands, Edward Bastress, Brandon Chan, Brian Chelden, Darin Feustel, Nabin Gautam, Whitney Gregg, Michael Heppding, Cory Householder, Alex Libby, Corey Melton, Jack Olgren, Loren Palestino, Morgan Ricks, Scott Rinebold, Matthew Seidel:
A longitudinal study of state government homepage accessibility in Maryland and the role of web page templates for improving accessibility. Gov. Inf. Q. 30(3): 289-299 (2013)
Conference and Workshop Papers
- 2020
- [c4]Fausto Vega, Eric Hwang, Luke Park, Brandon Chan, Paul Y. Oh:
Service Robot Navigation and Computer Vision Application in a Banquet Hall Setting. CCWC 2020: 918-923 - 2019
- [c3]Brandon Chan, Alireza Sedghi, Philip Laird, David Maslove, Parvin Mousavi:
Prediction of Patient-specific Acute Hypotensive Episodes in ICU Using Deep Models. EMBC 2019: 566-569 - [c2]Brandon Chan, Alireza Sedghi, Philip Laird, David Maslove, Parvin Mousavi:
Predictive Modeling using Intensive Care Unit Data: Considerations for Data Pre-processing and Analysis. EMBC 2019: 3429-3432 - [c1]Brandon Chan, Jason Auyeung, John F. Rudan, Parvin Mousavi, Manuela Kunz:
Tissue classification using machine learning to aid in intraoperative registration: a pilot study. Medical Imaging: Image-Guided Procedures 2019: 1095136
Informal and Other Publications
- 2020
- [i1]Jevgenij Gamper, Brandon Chan, Yee-Wah Tsang, David R. J. Snead, Nasir M. Rajpoot:
Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images. CoRR abs/2003.03109 (2020)
Coauthor Index
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