Se Hyung Kim - researchr alias

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Viewing Publication 1 - 16 from 16

2020

Comparative performance of 3D machine-learning and deep-learning models in the detection of small polyps in dual-energy CT colonographyJanne J. Näppi, Tomoki Uemura, Se Hyung Kim, Hyoungseop Kim, Hiroyuki Yoshida. micad 2020: [doi]

2017

Deep multi-spectral ensemble learning for electronic cleansing in dual-energy CT colonographyRie Tachibana, Janne J. Näppi, Toru Hironaka, Se Hyung Kim, Hiroyuki Yoshida. micad 2017: [doi]

2016

Deep learning for electronic cleansing in dual-energy CT colonographyRie Tachibana, Janne J. Näppi, Toru Hironaka, Se Hyung Kim, Hiroyuki Yoshida. micad 2016: [doi]

2015

Electronic Cleansing in Fecal-Tagging Dual-Energy CT Colonography Based on Material Decomposition and Virtual Colon TaggingWenli Cai, June Goo Lee, Da Zhang, Se Hyung Kim, Michael E. Zalis, Hiroyuki Yoshida. tbe, 62(2):754-765, 2015. [doi]

Electronic cleansing for dual-energy CT colonography based on material decomposition and virtual monochromatic imagingRie Tachibana, Janne J. Näppi, Se Hyung Kim, Hiroyuki Yoshida. micad 2015: [doi]

2014

Fast Three-Material Modeling With Triple Arch Projection for Electronic Cleansing in CTCHyunna Lee, Jeongjin Lee, Bohyung Kim, Se Hyung Kim, Yeong-Gil Shin. tbe, 61(7):2102-2111, 2014. [doi]

2013

2012

2011

Dual-Energy Electronic Cleansing for Artifact-Free Visualization of the Colon in Fecal-Tagging CT ColonographyWenli Cai, June Goo Lee, Se Hyung Kim, Hiroyuki Yoshida. miccai 2012: 8-17 [doi]

A straightforward approach to computer-aided polyp detection using a polyp-specific volumetric feature in CT colonographyJune Goo Lee, Jong Hyo Kim, Se Hyung Kim, Hee Sun Park, Byung Ihn Choi. cbm, 41(9):790-801, 2011. [doi]

2007

A novel algorithm for polyp detection using Eigen decomposition of Hessian-matrix for CT colonography CAD: validation with physical phantom studyJune Goo Lee, Se Hyung Kim, Jong Hyo Kim, Namkug Kim, Jin-Young Choi, Kwanggi Kim, Jong Mo Seo. micad 2007: [doi]

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