Jang Hwan Choi

23 papers A* 1B 2Journal 13Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Overall Survival Prediction of Brain Tumor Patients with Multimodal MRI using Swin Unetr.
ISBI
Gihyeon Kim, Fangxu Xing, Hyoun-Joong Kong, Emiliano Santarnecchi, Helen A. Shih, Thomas Bortfeld, Georges El Fakhri, Xiaofeng Liu, Jang Hwan Choi, Jonghye Woo
2025 J jnl
SeqDA-HLA: Language Model and Dual Attention-Based Network to Predict Peptide-HLA Class I Binding.
IEEE Trans. Comput. Biol. Bioinform.
Gihyeon Kim, Geonhui Jo, Minjeong Kim, Soo Young Cho, Jang Hwan Choi
2025 J jnl
Unsupervised Training of a Dynamic Context-Aware Deep Denoising Framework for Low-Dose Fluoroscopic Imaging.
IEEE Trans. Instrum. Meas.
Sun-Young Jeon, Sen Wang, Adam S. Wang, Garry E. Gold, Jang Hwan Choi
2024 A* conf
D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification.
ICDM
Minhee Jang, Juheon Son, Thanaporn Viriyasaranon, Junho Kim, Jang Hwan Choi
2024 J jnl
D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification.
CoRR
Minhee Jang, Juheon Son, Thanaporn Viriyasaranon, Junho Kim, Jang Hwan Choi
2024 J jnl
Efficient Deep-Detector Image Quality Assessment Based on Knowledge Distillation.
IEEE Trans. Instrum. Meas.
Wonkyeong Lee, Garry E. Gold, Jang Hwan Choi
2024 — conf
GeoRefineNet: A Multistage Framework for Enhanced Cephalometric Landmark Detection in CBCT Images Using 3D Geometric Information.
ACCV (2)
Thanaporn Viriyasaranon, Serie Ma, Jang Hwan Choi
2024 J jnl
Unsupervised Training of a Dynamic Context-Aware Deep Denoising Framework for Low-Dose Fluoroscopic Imaging.
CoRR
Sun-Young Jeon, Sen Wang, Adam S. Wang, Garry E. Gold, Jang Hwan Choi
2023 — conf
Anatomical Landmark Detection Using a Multiresolution Learning Approach with a Hybrid Transformer-CNN Model.
MICCAI (6)
Thanaporn Viriyasaranon, Serie Ma, Jang Hwan Choi
2023 — conf
Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising.
IPMI
Fabian Wagner, Mareike Thies, Laura Pfaff, Noah Maul, Sabrina Pechmann, Mingxuan Gu, Jonas Utz, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Jang Hwan Choi, Andreas Maier
2023 J jnl
Unsupervised Visual Representation Learning Based on Segmentation of Geometric Pseudo-Shapes for Transformer-Based Medical Tasks.
IEEE J. Biomed. Health Informatics
Thanaporn Viriyasaranon, Sang Myung Woo, Jang Hwan Choi
2022 J jnl
Noise2Contrast: Multi-Contrast Fusion Enables Self-Supervised Tomographic Image Denoising.
CoRR
Fabian Wagner, Mareike Thies, Laura Pfaff, Noah Maul, Sabrina Pechmann, Mingxuan Gu, Jonas Utz, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Jang Hwan Choi, Andreas K. Maier
2019 J jnl
Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT.
CoRR
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
2018 B conf
Precision Learning: Towards Use of Known Operators in Neural Networks.
ICPR
Andreas K. Maier, Frank Schebesch, Christopher Syben, Tobias Würfl, Stefan Steidl, Jang Hwan Choi, Rebecca Fahrig
2018 J jnl
Real-Time Tumor Motion Tracking in 3D Using Planning 4D CT Images during Image-Guided Radiation Therapy.
Algorithms
Jang Hwan Choi, Sooyeul Lee
2017 J jnl
Comparison of Different Approaches for Measuring Tibial Cartilage Thickness.
J. Integr. Bioinform.
Jennifer Maier, Marianne S. Black, Serena Bonaretti, Bastian Bier, Bjoern M. Eskofier, Jang Hwan Choi, Marc E. Levenston, Garry Gold, Rebecca Fahrig, Andreas K. Maier
2017 J jnl
Fully automated nipple detection in digital breast tomosynthesis.
Comput. Methods Programs Biomed.
Seung-Hoon Chae, Ji-Wook Jeong, Jang Hwan Choi, Eun Young Chae, Hak Hee Kim, Young-Wook Choi, Sooyeul Lee
2017 J jnl
Precision Learning: Towards Use of Known Operators in Neural Networks.
CoRR
Andreas K. Maier, Frank Schebesch, Christopher Syben, Tobias Würfl, Stefan Steidl, Jang Hwan Choi, Rebecca Fahrig
2016 — conf
Bridge to real data: Empirical multiple material calibration for learning-based material decomposition.
ISBI
Yanye Lu, Martin Berger, Michael Manhart, Jang Hwan Choi, Martin Hoheisel, Markus Kowarschik, Rebecca Fahrig, Qiushi Ren, Joachim Hornegger, Andreas K. Maier
2016 J jnl
Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems.
Int. J. Biomed. Imaging
Johannes Rausch, Andreas K. Maier, Rebecca Fahrig, Jang Hwan Choi, Waldo Hinshaw, Frank Schebesch, Sven Haase, Jakob Wasza, Joachim Hornegger, Christian Riess
2015 B conf
Image-based compensation for involuntary motion in weight-bearing C-arm cone-beam CT scanning of knees.
Image Processing
Mathias Unberath, Jang Hwan Choi, Martin Berger, Andreas K. Maier, Rebecca Fahrig
2015 — conf
Projection-Based Denoising Method for Photon-Counting Energy-Resolving Detectors.
Bildverarbeitung für die Medizin
Yanye Lu, Michael Manhart, Oliver Taubmann, Tobias Zobel, Qiao Yang, Jang Hwan Choi, Meng Wu, Arnd Doerfler, Rebecca Fahrig, Qiushi Ren, Joachim Hornegger, Andreas K. Maier
2014 — conf
Automatic Removal of Externally Attached Fiducial Markers in Cone Beam C-Arm CT.
Bildverarbeitung für die Medizin
Martin Berger, Christoph Forman, Chris Schwemmer, Jang Hwan Choi, Kerstin Müller, Andreas K. Maier, Joachim Hornegger, Rebecca Fahrig