Controlled Support MEG imaging. - Srikantan S. Nagarajan; Oleg Portniaguine; Dosik Hwang; Chris Johnson; Kensuke Sekihara (NeuroImage, 2006)

In vivo multi-slice mapping of myelin water content using T2* decay. - Dosik Hwang; Dong-Hyun Kim; Yiping P. Du (NeuroImage, 2010)

SPECT reconstruction with sub-sinogram acquisitions. - Dosik Hwang; Jeong-Whan Lee; Gengsheng L. Zeng (Int. J. Imaging Syst. Technol., 2011)

Toothbrushing Region Detection Using Three-Axis Accelerometer and Magnetic Sensor. - Young-Jae Lee; Pil-Jae Lee; Kyeong-Seop Kim; Wonse Park; Kee-Deog Kim; Dosik Hwang; Jeong-Whan Lee (IEEE Trans. Biomed. Eng., 2012)

An implantable wireless system for muscle afferent recording from the sciatic nerve during functional electrical stimulation. - Kang-Il Song; Ahnsei Shon; Jun-Uk Chu; Kuiwon Choi; Dosik Hwang; Inchan Youn (EMBC, 2013)

Improvement of the SNR and resolution of susceptibility-weighted venography by model-based multi-echo denoising. - Ung Jang; Yoonho Nam; Dong-Hyun Kim; Dosik Hwang (NeuroImage, 2013)

A tissue-relaxation-dependent neighboring method for robust mapping of the myelin water fraction. - Ohin Kwon; Eung Je Woo; Yiping P. Du; Dosik Hwang (NeuroImage, 2013)

Phase mask enhancement for multi-echo MR images using a novel denoising method based on tissue relaxation properties. - Taejoon Eo; Younguk Kim; Jinseong Jang; Dosik Hwang (ICEIC, 2014)

Medical image matching using variable randomized undersampling probability pattern in data acquisition. - Jinseong Jang; Taejoon Eo; Min-Oh Kim; Narae Choi; Dongyup Han; Dong-Hyun Kim; Dosik Hwang (ICEIC, 2014)

Comparision study of stereoscopy in computed tomography : Projection versus MIP. - Younguk Kim; Jinseong Jang; Taejoon Eo; Dosik Hwang (ICEIC, 2014)

An implantable wireless optogenetic stimulation system for peripheral nerve control. - Kang-Il Song; Sunghee E. Park; Myoung-Soo Kim; Chulmin Joo; Yong-Jun Kim; Jun-Kyo Francis Suh; Dosik Hwang; Inchan Youn (EMBC, 2015)

Improved estimation of myelin water fraction using complex model fitting. - Yoonho Nam; Jongho Lee 003; Dosik Hwang; Dong-Hyun Kim (NeuroImage, 2015)

Metal Artifact Reduction for Polychromatic X-ray CT Based on a Beam-Hardening Corrector. - Hyoung Suk Park; Dosik Hwang; Jin Keun Seo (IEEE Trans. Medical Imaging, 2016)

Localization of ultrasound waveform for low intensity ultrasound-induced neuromodulation in a mouse model. - Kang-Il Song; Seul Lee; Sunghee E. Park; Dosik Hwang; Hyungmin Kim 001; Inchan Youn (EMBC, 2017)

Ankle-Angle Estimation from Blind Source Separated Afferent Activity in the Sciatic Nerve for Closed-Loop Functional Neuromuscular Stimulation System. - Kang-Il Song; Jun-Uk Chu; Sunghee E. Park; Dosik Hwang; Inchan Youn (IEEE Trans. Biomed. Eng., 2017)

Translation of 1D Inverse Fourier Transform of K-space to an Image Based on Deep Learning for Accelerating Magnetic Resonance Imaging. - Taejoon Eo; Hyungseob Shin; Taeseong Kim; Yohan Jun; Dosik Hwang (MICCAI (1), 2018)

Inverse Tone Mapping Operator Using Sequential Deep Neural Networks Based on the Human Visual System. - Hanbyol Jang; Kihun Bang; Jinseong Jang; Dosik Hwang (IEEE Access, 2018)

Learning Radiologist's Step-by-Step Skill for Cervical Spinal Injury Examination: Line Drawing, Prevertebral Soft Tissue Thickness Measurement, and Swelling Detection. - Young Han Lee; Sewon Kim; Jin-Suck Suh; Dosik Hwang (IEEE Access, 2018)

Periodicity-based nonlocal-means denoising method for electrocardiography in low SNR non-white noisy conditions. - Yujin Lee; Dosik Hwang (Biomed. Signal Process. Control., 2018)

Study on discrimination of Alzheimer's disease states using an ensemble neural network's model. - Junsik Eom; Hanbyol Jang; Sewon Kim; Jinseong Jang; Dosik Hwang (Computer-Aided Diagnosis, 2019)

Dynamic Range Expansion Using Cumulative Histogram Learning for High Dynamic Range Image Generation. - Hanbyol Jang; Kihun Bang; Jinseong Jang; Dosik Hwang (IEEE Access, 2020)

State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge. - Matthew J. Muckley; Bruno Riemenschneider; Alireza Radmanesh; Sunwoo Kim; Geunu Jeong; Jingyu Ko; Yohan Jun; Hyungseob Shin; Dosik Hwang; Mahmoud Mostapha; Simon Arberet; Dominik Nickel; et al. (CoRR, 2020)

Accelerating Cartesian MRI by domain-transform manifold learning in phase-encoding direction. - Taejoon Eo; Hyungseob Shin; Yohan Jun; Taeseong Kim; Dosik Hwang (Medical Image Anal., 2020)

Joint Deep Model-Based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI. - Yohan Jun; Hyungseob Shin; Taejoon Eo; Dosik Hwang (CVPR, 2021)

Relevance-CAM: Your Model Already Knows Where To Look. - Jeong Ryong Lee; Sewon Kim; Inyong Park; Taejoon Eo; Dosik Hwang (CVPR, 2021)

Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. - Patricia M. Johnson; Geunu Jeong; Kerstin Hammernik; Jo Schlemper; Chen Qin; Jinming Duan 001; Daniel Rueckert; Jingu Lee; Nicola Pezzotti; Elwin de Weerdt; Sahar Yousefi; Mohamed S. Elmahdy; et al. (MLMIR@MICCAI, 2021)

Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation. - Hyungseob Shin; Hyeongyu Kim; Sewon Kim; Yohan Jun; Taejoon Eo; Dosik Hwang (CoRR, 2021)

Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method. - Yohan Jun; Hyungseob Shin; Taejoon Eo; Taeseong Kim; Dosik Hwang (Medical Image Anal., 2021)

Fat-saturated image generation from multi-contrast MRIs using generative adversarial networks with Bloch equation-based autoencoder regularization. - Sewon Kim; Hanbyol Jang; Seokjun Hong; Yeong Sang Hong; Won C. Bae; Sungjun Kim; Dosik Hwang (Medical Image Anal., 2021)

Deep-learned spike representations and sorting via an ensemble of auto-encoders. - Junsik Eom; In Yong Park; Sewon Kim; Hanbyol Jang; Sanggeon Park; Yeowool Huh; Dosik Hwang (Neural Networks, 2021)

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. - Matthew J. Muckley; Bruno Riemenschneider; Alireza Radmanesh; Sunwoo Kim; Geunu Jeong; Jingyu Ko; Yohan Jun; Hyungseob Shin; Dosik Hwang; Mahmoud Mostapha; Simon Arberet; Dominik Nickel; et al. (IEEE Trans. Medical Imaging, 2021)

M3T: three-dimensional Medical image classifier using Multi-plane and Multi-slice Transformer. - Jinseong Jang; Dosik Hwang (CVPR, 2022)

Digestive Organ Recognition in Video Capsule Endoscopy Based on Temporal Segmentation Network. - Yejee Shin; Taejoon Eo; Hyeongseop Rha; Dong Jun Oh; Geonhui Son; Jiwoong An; You Jin Kim; Dosik Hwang; Yun Jeong Lim (MICCAI (8), 2022)

COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training. - Hyungseob Shin; Hyeongyu Kim; Sewon Kim; Yohan Jun; Taejoon Eo; Dosik Hwang (CoRR, 2022)

SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation. - Hyungseob Shin; Hyeongyu Kim; Sewon Kim; Yohan Jun; Taejoon Eo; Dosik Hwang (CVPR, 2023)

VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads. - Youngkyoon Jang; Jiali Zheng; Jifei Song; Helisa Dhamo; Eduardo Pérez-Pellitero; Thomas Tanay; Matteo Maggioni; Richard Shaw; Sibi Catley-Chandar; Yiren Zhou; Jiankang Deng; Ruijie Zhu 002; et al. (ICCV (Workshops), 2023)

Evidence-Empowered Transfer Learning for Alzheimer's Disease. - Kai Tzu-iunn Ong; Hana Kim; Minjin Kim; Jinseong Jang; Beomseok Sohn; Yoon Seong Choi; Dosik Hwang; Seong Jae Hwang; Jinyoung Yeo (ISBI, 2023)

M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography. - Yunsu Byeon; Hyeseong Kim; Kyungwon Kim; Doohyun Park; Euijoon Choi; Dosik Hwang (SEG.A@MICCAI, 2023)

DiMix: Disentangle-and-Mix Based Domain Generalizable Medical Image Segmentation. - Hyeongyu Kim; Yejee Shin; Dosik Hwang (MICCAI (3), 2023)

Position-Encoded Pixel-to-Prototype Contrastive Learning for Aortic Vessel Tree Segmentation. - Hyeongyu Kim; Yejee Shin; Dosik Hwang (SEG.A@MICCAI, 2023)

Deep-Learning-Aided Evaluation of Spondylolysis Imaged with Ultrashort Echo Time Magnetic Resonance Imaging. - Suraj Achar; Dosik Hwang; Tim Finkenstaedt; Vadim Malis; Won C. Bae (Sensors, 2023)

Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales. - Taeyoon Kwon; Kai Tzu-iunn Ong; Dongjin Kang; Seungjun Moon; Jeong Ryong Lee; Dosik Hwang; Beomseok Sohn; Yongsik Sim; Dongha Lee 003; Jinyoung Yeo (AAAI, 2024)

LLM-Guided Multi-modal Multiple Instance Learning for 5-Year Overall Survival Prediction of Lung Cancer. - Kyungwon Kim; Yongmoon Lee; Doohyun Park; Taejoon Eo; Daemyung Youn; Hyesang Lee; Dosik Hwang (MICCAI (3), 2024)

AeSPa : Attention-guided Self-supervised Parallel Imaging for MRI Reconstruction. - Jinho Joo; Hyeseong Kim; Hyeyeon Won; Deukhee Lee; Taejoon Eo; Dosik Hwang (CVPR, 2025)

Diffusion Bridge: Leveraging Diffusion Model to Reduce the Modality Gap Between Text and Vision for Zero-Shot Image Captioning. - Jeong Ryong Lee; Yejee Shin; Geonhui Son; Dosik Hwang (CVPR, 2025)

Anatomical Consistency and Adaptive Prior-informed Transformation for Multi-contrast MR Image Synthesis via Diffusion Model. - Yejee Shin; Yeeun Lee; Hanbyol Jang; Geonhui Son; Hyeongyu Kim; Dosik Hwang (CVPR, 2025)

MinT: Magnetic resonance image unsupervised translation via decoupling anatomical structure and contrast. - Hanbyol Jang; Hyeongyu Kim; Sewon Kim; Dosik Hwang (Comput. Biol. Medicine, 2025)

Ensemble and low-frequency mixing with diffusion models for accelerated MRI reconstruction. - Yejee Shin; Geonhui Son; Dosik Hwang; Taejoon Eo (Medical Image Anal., 2025)

Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomas. - Yunsu Byeon; Yae Won Park; Soohyun Lee; Doohyun Park; Hyungseob Shin; Kyunghwa Han; Jong Hee Chang; Se Hoon Kim; Seung-Koo Lee; Sungsoo Ahn; Dosik Hwang (npj Digit. Medicine, 2025)