Mr. Hao Peng Profile

Hao Peng

at Stony Brook Univ

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Author

Publications (4)

Proceedings Article | 24 March 2016 Paper

Maximal area and conformal welding heuristics for optimal slice selection in splenic volume estimation

Ievgeniia Gutenko, Hao Peng, Xianfeng Gu, Mathew Barish, Arie Kaufman

Proceedings Volume 9785, 97853V (2016) https://doi.org/10.1117/12.2216533

KEYWORDS: Commercial off the shelf technology, Spleen, CAD systems, Current controlled current source, Shape analysis, Lymphoma, Neodymium, Biological research, Computed tomography, Statistical analysis, Leukemia

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Proceedings Article | 24 March 2014 Paper

An adaptive approach to centerline extraction for CT colonography using MAP-EM segmentation and distance field

Hao Peng, Lihong Li, Huafeng Wang, Hao Han, Perry Pickhardt, Zhengrong Liang

Proceedings Volume 9035, 903510 (2014) https://doi.org/10.1117/12.2043956

KEYWORDS: Colon, Intestine, Image segmentation, Expectation maximization algorithms, Photovoltaics, Tissues, Image processing algorithms and systems, Virtual colonoscopy, Tomography, Algorithm development

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Proceedings Article | 20 March 2014 Paper

Automated polyp measurement based on colon structure decomposition for CT colonography

Huafeng Wang, Lihong Li, Hao Han, Hao Peng, Bowen Song, Xinzhou Wei, Zhengrong Liang

Proceedings Volume 9035, 90350B (2014) https://doi.org/10.1117/12.2043648

KEYWORDS: Colon, Expectation maximization algorithms, Computer aided diagnosis and therapy, Colorectal cancer, Virtual colonoscopy, Computed tomography, 3D modeling, Volume rendering, Detection and tracking algorithms, Cancer

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Proceedings Article | 18 March 2014 Paper

A novel colonic polyp volume segmentation method for computer tomographic colonography

Huafeng Wang, Lihong Li, Hao Han, Bowen Song, Hao Peng, Yunhong Wang, Lihua Wang, Zhengrong Liang

Proceedings Volume 9035, 90352W (2014) https://doi.org/10.1117/12.2043556

KEYWORDS: Image segmentation, Colon, Computer aided diagnosis and therapy, Volume rendering, Tomography, Colorectal cancer, Cancer, Environmental sensing, Tissues, Medical imaging

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