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Jihoon Kweon
ORCID
Publication Activity (10 Years)
Years Active: 2017-2021
Publications (10 Years): 8
Top Topics
Reinforcement Learning
Ultrasonic Images
Wyner Ziv
Vessel Segmentation
Top Venues
CoRR
IEEE Access
ICONIP (4)
Medical Biol. Eng. Comput.
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Publications
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Jihoon Kweon
,
Kyunghwan Kim
,
Chaehyuk Lee
,
Hwi Kwon
,
Jinwoo Park
,
Kyoseok Song
,
Young In Kim
,
Jeeone Park
,
Inwook Back
,
Jae-Hyung Roh
,
Youngjin Moon
,
Jaesoon Choi
,
Young-Hak Kim
Deep reinforcement learning for guidewire navigation in coronary artery phantom.
CoRR
(2021)
Jihoon Kweon
,
Kyunghwan Kim
,
Chaehyuk Lee
,
Hwi Kwon
,
Jinwoo Park
,
Kyoseok Song
,
Young In Kim
,
Jeeone Park
,
Inwook Back
,
Jae-Hyung Roh
,
Youngjin Moon
,
Jaesoon Choi
,
Young-Hak Kim
Deep Reinforcement Learning for Guidewire Navigation in Coronary Artery Phantom.
IEEE Access
9 (2021)
Tae Joon Jun
,
Jihoon Kweon
,
Young-Hak Kim
,
Daeyoung Kim
T-Net: Nested encoder-decoder architecture for the main vessel segmentation in coronary angiography.
Neural Networks
128 (2020)
Tae Joon Jun
,
Soo-Jin Kang
,
June-Goo Lee
,
Jihoon Kweon
,
Wonjun Na
,
Daeyoun Kang
,
Dohyeun Kim
,
Daeyoung Kim
,
Young-Hak Kim
Automated detection of vulnerable plaque in intravascular ultrasound images.
Medical Biol. Eng. Comput.
57 (4) (2019)
Tae Joon Jun
,
Jihoon Kweon
,
Young-Hak Kim
,
Daeyoung Kim
T-Net: Encoder-Decoder in Encoder-Decoder architecture for the main vessel segmentation in coronary angiography.
CoRR
(2019)
Kyungmin Jo
,
Jihoon Kweon
,
Young-Hak Kim
,
Jaesoon Choi
Segmentation of the Main Vessel of the Left Anterior Descending Artery Using Selective Feature Mapping in Coronary Angiography.
IEEE Access
7 (2019)
Tae Joon Jun
,
Soo-Jin Kang
,
June-Goo Lee
,
Jihoon Kweon
,
Wonjun Na
,
Daeyoun Kang
,
Dohyeun Kim
,
Daeyoung Kim
,
Young-Hak Kim
Automated detection of vulnerable plaque in intravascular ultrasound images.
CoRR
(2018)
Tae Joon Jun
,
Soo-Jin Kang
,
June-Goo Lee
,
Jihoon Kweon
,
Wonjun Na
,
Daeyoun Kang
,
Dohyeun Kim
,
Daeyoung Kim
,
Young-Hak Kim
Thin-Cap Fibroatheroma Detection with Deep Neural Networks.
ICONIP (4)
(2017)