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2020 – today
- 2024
[c10]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
- [c9]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 - [i3]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) - 2022
- [c8]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 - [i2]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
- [j2]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) - [c7]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 - [c6]Jeong Ryong Lee, Sewon Kim, Inyong Park, Taejoon Eo, Dosik Hwang:
Relevance-CAM: Your Model Already Knows Where To Look. CVPR 2021: 14944-14953 - [c5]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 - [i1]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
- [j1]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)
2010 – 2019
- 2018
- [c4]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 - 2014
- [c3]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 - [c2]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 - [c1]Younguk Kim, Jinseong Jang, Taejoon Eo, Dosik Hwang:
Comparision study of stereoscopy in computed tomography : Projection versus MIP. ICEIC 2014: 1-2
Coauthor Index
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