Taejoon Eo

According to our database, Taejoon Eo authored at least 14 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

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

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, 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

Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

Relevance-CAM: Your Model Already Knows Where To Look.

Jeong Ryong Lee, Sewon Kim, Inyong Park, Taejoon Eo, Dosik Hwang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Joint Deep Model-Based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI.

Yohan Jun, Hyungseob Shin, Taejoon Eo, Dosik Hwang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

2018

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2014

Comparision study of stereoscopy in computed tomography : Projection versus MIP.

Younguk Kim, Jinseong Jang, Taejoon Eo, Dosik Hwang

Proceedings of the International Conference on Electronics, Information and Communications, 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

Proceedings of the International Conference on Electronics, Information and Communications, 2014

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

Proceedings of the International Conference on Electronics, Information and Communications, 2014