Jang-Hwan Choi

25 papers A* 1A 1Journal 14Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
CountSteer: Steering Attention for Object Counting in Diffusion Models.
CoRR
Hyemin Boo, Hyoryung Kim, Myungjin Lee, Seunghyeon Lee, Jiyoung Lee, Jang-Hwan Choi, Hyunsoo Cho
2025 A conf
FMD: Comprehensive Data Compression in Medical Domain via Fused Matching Distillation.
WACV
Juheon Son, Jang-Hwan Choi
2025 J jnl
Low-dose computed tomography perceptual image quality assessment.
Medical Image Anal.
Wonkyeong Lee, Fabian Wagner, Adrian Galdran, Yongyi Shi, Wenjun Xia, Ge Wang, Xuanqin Mou, Md. Atik Ahamed, Abdullah-Al-Zubaer Imran, Ji Eun Oh, Kyungsang Kim, Jong Tak Baek, Dongheon Lee, Boohwi Hong, Philip Tempelman, Donghang Lyu, Adrian Kuiper, Lars van Blokland, Maria Baldeon Calisto, Scott S. Hsieh, Minah Han, Jongduk Baek, Andreas Maier, Adam S. Wang, Garry Evan Gold, Jang-Hwan Choi
2025 — conf
MARSeg: Enhancing Medical Image Segmentation with MAR and Adaptive Feature Fusion.
MICCAI (4)
Jeonghyun Hwang, Seungyeon Rhee, Minjeong Kim, Thanaporn Viriyasaranon, Jang-Hwan Choi
2025 A* conf
Riemannian Geometric-based Meta Learning.
AAAI
Juneyoung Park, YuMi Lee, Tae-Joon Kim, Jang-Hwan Choi
2025 J jnl
Riemannian Geometric-based Meta Learning.
CoRR
Juneyoung Park, YuMi Lee, Tae-Joon Kim, Jang-Hwan Choi
2025 J jnl
Unsupervised motion artifacts reduction for cone-beam CT via enhanced landmark detection.
Expert Syst. Appl.
Thanaporn Viriyasaranon, Serie Ma, Mareike Thies, Andreas Maier, Jang-Hwan Choi
2023 J jnl
A multi-kernel and multi-scale learning based deep ensemble model for predicting recurrence of non-small cell lung cancer.
PeerJ Comput. Sci.
Gihyeon Kim, Young Mi Park, Hyun Jung Yoon, Jang-Hwan Choi
2022 — conf
Deep Denoising Network for X-Ray Fluoroscopic Image Sequences of Moving Objects.
MLMIR@MICCAI
Wonjin Kim, Wonkyeong Lee, Sun-Young Jeon, Nayeon Kang, Geonhui Jo, Jang-Hwan Choi
2022 J jnl
Deep Learning with Multimodal Integration for Predicting Recurrence in Patients with Non-Small Cell Lung Cancer.
Sensors
Gihyeon Kim, Sehwa Moon, Jang-Hwan Choi
2022 J jnl
No-reference perceptual CT image quality assessment based on a self-supervised learning framework.
Mach. Learn. Sci. Technol.
Wonkyeong Lee, Eunbyeol Cho, Wonjin Kim, Hyebin Choi, Kyongmin Sarah Beck, Hyun Jung Yoon, Jongduk Baek, Jang-Hwan Choi
2022 — conf
Performance evaluation of image quality metrics for perceptual assessment of low-dose computed tomography images.
Image Perception, Observer Performance, and Technology Assessment
Wonkyeong Lee, Eunbyeol Cho, Wonjin Kim, Jang-Hwan Choi
2022 J jnl
Rigid and Non-Rigid Motion Compensation in Weight-Bearing CBCT of the Knee Using Simulated Inertial Measurements.
IEEE Trans. Biomed. Eng.
Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Bjoern M. Eskofier, Andreas Maier
2022 J jnl
Unsupervised Domain Adaptation for Low-Dose Computed Tomography Denoising.
IEEE Access
Jaa-Yeon Lee, Wonjin Kim, Yebin Lee, Ji-Yeon Lee, Eunji Ko, Jang-Hwan Choi
2021 J jnl
3D Non-Rigid Alignment of Low-Dose Scans Allows to Correct for Saturation in Lower Extremity Cone-Beam CT.
IEEE Access
Jennifer Maier, Andreas K. Maier, Bjoern M. Eskofier, Rebecca Fahrig, Jang-Hwan Choi
2021 — conf
Abstract: Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee.
Bildverarbeitung für die Medizin
Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Björn M. Eskofier, Andreas Maier
2021 J jnl
Integration of 2D iteration and a 3D CNN-based model for multi-type artifact suppression in C-arm cone-beam CT.
Mach. Vis. Appl.
Dahim Choi, Wonjin Kim, Jiyeon Lee, Mina Han, Jongduk Baek, Jang-Hwan Choi
2021 J jnl
Rigid and non-rigid motion compensation in weight-bearing cone-beam CT of the knee using (noisy) inertial measurements.
CoRR
Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Björn M. Eskofier, Andreas Maier
2020 — conf
Inertial Measurements for Motion Compensation in Weight-Bearing Cone-Beam CT of the Knee.
MICCAI (3)
Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Björn M. Eskofier, Andreas K. Maier
2020 J jnl
Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee.
CoRR
Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Björn M. Eskofier, Andreas K. Maier
2020 — conf
Machine learning-powered prediction of recurrence in patients with non-small cell lung cancer using quantitative clinical and radiomic biomarkers.
Computer-Aided Diagnosis
Sehwa Moon, Dahim Choi, Ji-Yeon Lee, Myoung-Hee Kim, Helen Hong, Bong-Seog Kim, Jang-Hwan Choi
2020 — conf
Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT.
Bildverarbeitung für die Medizin
Jennifer Maier, Luis Carlos Rivera Monroy, Christopher Syben, Yejin Jeon, Jang-Hwan Choi, Mary Elizabeth Hall, Marc E. Levenston, Garry Gold, Rebecca Fahrig, Andreas K. Maier
2020 — conf
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results.
CVPR Workshops
Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar
2020 J jnl
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results.
CoRR
Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yun Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar
2019 — conf
Smooth Ride: Low-Pass Filtering of Manual Segmentations Improves Consensus.
Bildverarbeitung für die Medizin
Jennifer Maier, Marianne S. Black, Mary Elizabeth Hall, Jang-Hwan Choi, Marc E. Levenston, Garry Gold, Rebecca Fahrig, Bjoern M. Eskofier, Andreas K. Maier