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Hongyoon Choi
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2020 – today
- 2021
- [j2]Seung Kwan Kang, Hongyoon Choi
, Jae Sung Lee, Alzheimer's Disease Neuroimaging Initiative:
Translating amyloid PET of different radiotracers by a deep generative model for interchangeability. NeuroImage 232: 117890 (2021)
2010 – 2019
- 2019
- [c3]Hyekyoung Lee, Moo K. Chung, Hongyoon Choi
, Hyejin Kang, Seunggyun Ha, Yu Kyeong Kim, Dong Soo Lee:
Harmonic Holes as the Submodules of Brain Network and Network Dissimilarity. CTIC 2019: 110-122 - [c2]Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Hongyoon Choi
, Seunggyun Ha, Youngmin Huh, Eunkyung Kim
, Dong Soo Lee:
Coidentification of Group-Level Hole Structures in Brain Networks via Hodge Laplacian. MICCAI (4) 2019: 674-682 - [i3]Teaghan O'Briain, Kyong Hwan Jin, Hongyoon Choi, Erika Chin, Magdalena Bazalova-Carter, Kwang Moo Yi:
Reducing the Human Effort in Developing PET-CT Registration. CoRR abs/1911.10657 (2019) - 2018
- [c1]Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Hongyoon Choi
, Yu Kyeong Kim, Dong Soo Lee:
Abnormal hole detection in brain connectivity by kernel density of persistence diagram and Hodge Laplacian. ISBI 2018: 20-23 - 2017
- [i2]Hongyoon Choi, Kyong Hwan Jin:
Predicting Cognitive Decline with Deep Learning of Brain Metabolism and Amyloid Imaging. CoRR abs/1704.06033 (2017) - [i1]Hongyoon Choi:
Functional connectivity patterns of autism spectrum disorder identified by deep feature learning. CoRR abs/1707.07932 (2017) - 2014
- [j1]Hongyoon Choi
, Yu Kyeong Kim, Hyejin Kang, Hyekyoung Lee, Hyung Jun Im, Do Won Hwang, E. Edmund Kim, June-Key Chung, Dong Soo Lee:
Abnormal metabolic connectivity in the pilocarpine-induced epilepsy rat model: A multiscale network analysis based on persistent homology. NeuroImage 99: 226-236 (2014)
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