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2020 – today
- 2024
[c21]Taeyoon Kwon, Kai Tzu-iunn Ong, Dongjin Kang, Seungjun Moon, Jeong Ryong Lee, Dosik Hwang, Beomseok Sohn, Yongsik Sim, Dongha Lee, Jinyoung Yeo:
Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales. AAAI 2024: 18417-18425- [c20]Kyungwon Kim, Yongmoon Lee, Doohyun Park
, Taejoon Eo, Daemyung Youn, Hyesang Lee, Dosik Hwang:
LLM-Guided Multi-modal Multiple Instance Learning for 5-Year Overall Survival Prediction of Lung Cancer. MICCAI (3) 2024: 239-249 - 2023
- [j19]Suraj Achar, Dosik Hwang, Tim Finkenstaedt, Vadim Malis, Won C. Bae:
Deep-Learning-Aided Evaluation of Spondylolysis Imaged with Ultrashort Echo Time Magnetic Resonance Imaging. Sensors 23(18): 8001 (2023) - [c19]Hyungseob Shin, Hyeongyu Kim, Sewon Kim, Yohan Jun, Taejoon Eo, Dosik Hwang:
SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation. CVPR 2023: 7412-7421 - [c18]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, Jiahao Chang, Ziyang Song, Jiahuan Yu, Tianzhu Zhang, Khanh-Binh Nguyen, Joon-Sung Yang, Andreea Dogaru, Bernhard Egger, Heng Yu, Aarush Gupta, Joel Julin, László A. Jeni, Hyeseong Kim, Jungbin Cho, Dosik Hwang, Deukhee Lee, Doyeon Kim, Dongseong Seo, SeungJin Jeon, YoungDon Choi, Jun Seok Kang, Ahmet Cagatay Seker, Sang Chul Ahn, Ales Leonardis, Stefanos Zafeiriou:
VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads. ICCV (Workshops) 2023: 1113-1120 - [c17]Kai Tzu-iunn Ong, Hana Kim, Minjin Kim, Jinseong Jang, Beomseok Sohn, Yoon Seong Choi, Dosik Hwang, Seong Jae Hwang, Jinyoung Yeo:
Evidence-Empowered Transfer Learning for Alzheimer's Disease. ISBI 2023: 1-5 - [c16]Yunsu Byeon, Hyeseong Kim, Kyungwon Kim, Doohyun Park, Euijoon Choi, Dosik Hwang:
M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography. SEG.A@MICCAI 2023: 1-12 - [c15]Hyeongyu Kim, Yejee Shin, Dosik Hwang:
Position-Encoded Pixel-to-Prototype Contrastive Learning for Aortic Vessel Tree Segmentation. SEG.A@MICCAI 2023: 55-66 - [c14]Hyeongyu Kim, Yejee Shin, Dosik Hwang:
DiMix: Disentangle-and-Mix Based Domain Generalizable Medical Image Segmentation. MICCAI (3) 2023: 242-251 - [i6]Kai Tzu-iunn Ong, Hana Kim, Minjin Kim, Jinseong Jang, Beomseok Sohn, Yoon Seong Choi, Dosik Hwang, Seong Jae Hwang, Jinyoung Yeo:
Evidence-empowered Transfer Learning for Alzheimer's Disease. CoRR abs/2303.01105 (2023) - [i5]Hyungseob Shin, Hyeongyu Kim, Sewon Kim, Yohan Jun, Taejoon Eo, Dosik Hwang:
SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation. CoRR abs/2305.11012 (2023) - [i4]Taeyoon Kwon, Kai Tzu-iunn Ong, Dongjin Kang, Seungjun Moon, Jeong Ryong Lee, Dosik Hwang, Yongsik Sim, Beomseok Sohn, Dongha Lee, Jinyoung Yeo:
Large Language Models are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales. CoRR abs/2312.07399 (2023) - 2022
- [c13]Jinseong Jang, Dosik Hwang:
M3T: three-dimensional Medical image classifier using Multi-plane and Multi-slice Transformer. CVPR 2022: 20686-20697 - [c12]Yejee Shin, Taejoon Eo, Hyeongseop Rha, Dong Jun Oh, Geonhui Son, Jiwoong An, You Jin Kim, Dosik Hwang, Yun Jeong Lim:
Digestive Organ Recognition in Video Capsule Endoscopy Based on Temporal Segmentation Network. MICCAI (8) 2022: 136-146 - [i3]Hyungseob Shin, Hyeongyu Kim, Sewon Kim, Yohan Jun, Taejoon Eo, Dosik Hwang:
COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training. CoRR abs/2203.16557 (2022) - 2021
- [j18]Yohan Jun, Hyungseob Shin, Taejoon Eo, Taeseong Kim, Dosik Hwang:
Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method. Medical Image Anal. 70: 102017 (2021) - [j17]Sewon Kim, Hanbyol Jang, Seokjun Hong, Yeong Sang Hong, Won C. Bae, Sungjun Kim, Dosik Hwang:
Fat-saturated image generation from multi-contrast MRIs using generative adversarial networks with Bloch equation-based autoencoder regularization. Medical Image Anal. 73: 102198 (2021) - [j16]Junsik Eom, In Yong Park, Sewon Kim, Hanbyol Jang, Sanggeon Park, Yeowool Huh, Dosik Hwang:
Deep-learned spike representations and sorting via an ensemble of auto-encoders. Neural Networks 134: 131-142 (2021) - [j15]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, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll:
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. IEEE Trans. Medical Imaging 40(9): 2306-2317 (2021) - [c11]Yohan Jun, Hyungseob Shin, Taejoon Eo, Dosik Hwang:
Joint Deep Model-Based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI. CVPR 2021: 5270-5279 - [c10]Jeong Ryong Lee, Sewon Kim, Inyong Park, Taejoon Eo, Dosik Hwang:
Relevance-CAM: Your Model Already Knows Where To Look. CVPR 2021: 14944-14953 - [c9]Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Daniel Rueckert, Jingu Lee, Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Franciscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Marius Staring, Eric Z. Chen, Puyang Wang, Xiao Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun, Hyungseob Shin, Yohan Jun, Taejoon Eo, Sewon Kim, Taeseong Kim, Dosik Hwang, Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling, Matthew J. Muckley, Florian Knoll:
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. MLMIR@MICCAI 2021: 25-34 - [i2]Hyungseob Shin, Hyeongyu Kim, Sewon Kim, Yohan Jun, Taejoon Eo, Dosik Hwang:
Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation. CoRR abs/2109.10674 (2021) - 2020
- [j14]Hanbyol Jang, Kihun Bang, Jinseong Jang, Dosik Hwang:
Dynamic Range Expansion Using Cumulative Histogram Learning for High Dynamic Range Image Generation. IEEE Access 8: 38554-38567 (2020) - [j13]Taejoon Eo, Hyungseob Shin, Yohan Jun, Taeseong Kim, Dosik Hwang:
Accelerating Cartesian MRI by domain-transform manifold learning in phase-encoding direction. Medical Image Anal. 63: 101689 (2020) - [i1]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, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll:
State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge. CoRR abs/2012.06318 (2020)
2010 – 2019
- 2019
- [c8]Junsik Eom, Hanbyol Jang, Sewon Kim, Jinseong Jang, Dosik Hwang:
Study on discrimination of Alzheimer's disease states using an ensemble neural network's model. Medical Imaging: Computer-Aided Diagnosis 2019: 1095029 - 2018
- [j12]Hanbyol Jang, Kihun Bang, Jinseong Jang, Dosik Hwang:
Inverse Tone Mapping Operator Using Sequential Deep Neural Networks Based on the Human Visual System. IEEE Access 6: 52058-52072 (2018) - [j11]Young Han Lee, Sewon Kim, Jin-Suck Suh, Dosik Hwang:
Learning Radiologist's Step-by-Step Skill for Cervical Spinal Injury Examination: Line Drawing, Prevertebral Soft Tissue Thickness Measurement, and Swelling Detection. IEEE Access 6: 55492-55500 (2018) - [j10]Yujin Lee, Dosik Hwang:
Periodicity-based nonlocal-means denoising method for electrocardiography in low SNR non-white noisy conditions. Biomed. Signal Process. Control. 39: 284-293 (2018) - [c7]Taejoon Eo, Hyungseob Shin, Taeseong Kim, Yohan Jun, Dosik Hwang:
Translation of 1D Inverse Fourier Transform of K-space to an Image Based on Deep Learning for Accelerating Magnetic Resonance Imaging. MICCAI (1) 2018: 241-249 - 2017
- [j9]Kang-Il Song, Jun-Uk Chu, Sunghee E. Park, Dosik Hwang, Inchan Youn:
Ankle-Angle Estimation from Blind Source Separated Afferent Activity in the Sciatic Nerve for Closed-Loop Functional Neuromuscular Stimulation System. IEEE Trans. Biomed. Eng. 64(4): 834-843 (2017) - [c6]Kang-Il Song, Seul Lee, Sunghee E. Park, Dosik Hwang, Hyungmin Kim, Inchan Youn:
Localization of ultrasound waveform for low intensity ultrasound-induced neuromodulation in a mouse model. EMBC 2017: 1122-1125 - 2016
- [j8]Hyoung Suk Park, Dosik Hwang, Jin Keun Seo:
Metal Artifact Reduction for Polychromatic X-ray CT Based on a Beam-Hardening Corrector. IEEE Trans. Medical Imaging 35(2): 480-487 (2016) - 2015
- [j7]Yoonho Nam, Jongho Lee, Dosik Hwang, Dong-Hyun Kim:
Improved estimation of myelin water fraction using complex model fitting. NeuroImage 116: 214-221 (2015) - [c5]Kang-Il Song, Sunghee E. Park, Myoung-Soo Kim, Chulmin Joo, Yong-Jun Kim, Jun-Kyo Francis Suh, Dosik Hwang, Inchan Youn:
An implantable wireless optogenetic stimulation system for peripheral nerve control. EMBC 2015: 1033-1036 - 2014
- [c4]Taejoon Eo, Younguk Kim, Jinseong Jang, Dosik Hwang:
Phase mask enhancement for multi-echo MR images using a novel denoising method based on tissue relaxation properties. ICEIC 2014: 1-2 - [c3]Jinseong Jang, Taejoon Eo, Min-Oh Kim, Narae Choi, Dongyup Han, Dong-Hyun Kim, Dosik Hwang:
Medical image matching using variable randomized undersampling probability pattern in data acquisition. ICEIC 2014: 1-2 - [c2]Younguk Kim, Jinseong Jang, Taejoon Eo, Dosik Hwang:
Comparision study of stereoscopy in computed tomography : Projection versus MIP. ICEIC 2014: 1-2 - 2013
- [j6]Ung Jang, Yoonho Nam, Dong-Hyun Kim, Dosik Hwang:
Improvement of the SNR and resolution of susceptibility-weighted venography by model-based multi-echo denoising. NeuroImage 70: 308-316 (2013) - [j5]Ohin Kwon, Eung Je Woo, Yiping P. Du, Dosik Hwang:
A tissue-relaxation-dependent neighboring method for robust mapping of the myelin water fraction. NeuroImage 74: 12-21 (2013) - [c1]Kang-Il Song, Ahnsei Shon, Jun-Uk Chu, Kuiwon Choi, Dosik Hwang, Inchan Youn:
An implantable wireless system for muscle afferent recording from the sciatic nerve during functional electrical stimulation. EMBC 2013: 3610-3613 - 2012
- [j4]Young-Jae Lee, Pil-Jae Lee, Kyeong-Seop Kim, Wonse Park, Kee-Deog Kim, Dosik Hwang, Jeong-Whan Lee:
Toothbrushing Region Detection Using Three-Axis Accelerometer and Magnetic Sensor. IEEE Trans. Biomed. Eng. 59(3): 872-881 (2012) - 2011
- [j3]Dosik Hwang, Jeong-Whan Lee, Gengsheng L. Zeng:
SPECT reconstruction with sub-sinogram acquisitions. Int. J. Imaging Syst. Technol. 21(3): 247-252 (2011) - 2010
- [j2]Dosik Hwang, Dong-Hyun Kim, Yiping P. Du:
In vivo multi-slice mapping of myelin water content using T2* decay. NeuroImage 52(1): 198-204 (2010)
2000 – 2009
- 2006
- [j1]Srikantan S. Nagarajan, Oleg Portniaguine, Dosik Hwang, Chris Johnson, Kensuke Sekihara:
Controlled Support MEG imaging. NeuroImage 33(3): 878-885 (2006)
Coauthor Index
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