Dr. Hansang Lee Profile

Dr. Hansang Lee

at KAIST

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Publications (4)

Proceedings Article | 16 March 2020 Paper

Survival prediction of liver cancer patients from CT images using deep learning and radiomic feature-based regression

Hansang Lee, Helen Hong, Jinsil Seong, Jin Sung Kim, Junmo Kim

Proceedings Volume 11314, 113143L (2020) https://doi.org/10.1117/12.2551349

KEYWORDS: Computed tomography, Tumors, Feature extraction, Binary data, Liver cancer, Machine learning, Radiotherapy, Cancer, Oncology, Statistical analysis

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Proceedings Article | 3 March 2017 Presentation + Paper

Contextual convolutional neural networks for lung nodule classification using Gaussian-weighted average image patches

Haeil Lee, Hansang Lee, Minseok Park, Junmo Kim

Proceedings Volume 10134, 1013423 (2017) https://doi.org/10.1117/12.2253978

KEYWORDS: Convolutional neural networks, Lung, Computer aided diagnosis and therapy, Neural networks, Lung cancer, Computed tomography, Image classification, Chest, Cancer, Classification systems, 3D image processing, Databases

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Proceedings Article | 3 March 2017 Presentation + Paper

Cephalometric landmark detection in dental x-ray images using convolutional neural networks

Hansang Lee, Minseok Park, Junmo Kim

Proceedings Volume 10134, 101341W (2017) https://doi.org/10.1117/12.2255870

KEYWORDS: X-ray imaging, Neural networks, Computer-aided diagnosis, Computer aided diagnosis and therapy, Image analysis, Convolutional neural networks, Image classification, CAD systems, Detection and tracking algorithms, Machine learning, Image segmentation, Medical imaging

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Proceedings Article | 24 March 2016 Paper

Multi-atlas segmentation of the cartilage in knee MR images with sequential volume- and bone-mask-based registrations

Han Sang Lee, Hyeun Kim, Hyeonjin Kim, Helen Hong, Young Cheol Yoon, Junmo Kim

Proceedings Volume 9785, 97853H (2016) https://doi.org/10.1117/12.2216630

KEYWORDS: Data communications, Image segmentation, Cartilage, Bone, Image registration, Magnetic resonance imaging, Visualization, Tissues, Affine motion model, Visual process modeling

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