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ORCIDYoungmin Kim 0004
Person information
- unicode name: 김영민
- affiliation: Korea Advanced Institute of Science and Technology (KAIST), NAIS Lab, Daejeon, South Korea
Other persons with the same name
- Young Min Kim (aka: Young-Min Kim, YoungMin Kim, Youngmin Kim) — disambiguation page
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2020 – today
- 2024
[c9]Guil Jung, Young-Min Kim, Hyeon-Jik Lee, SeokHwan Oh, Myeong-Gee Kim, Hyuksool Kwon, Hyeon-Min Bae:
Myocardium Tissue Characteristics Quantification in Echocardiography. ISBI 2024: 1-5- [c8]Young-Min Kim, Myeong-Gee Kim, SeokHwan Oh, Guil Jung, Hyeon-Jik Lee, Hyuksool Kwon, Hyeon-Min Bae:
Quantitative Ultrasound Imaging Using Conventional Multi-Scanline Beamforming. ISBI 2024: 1-5 - [c7]YoungMin Kim, Myeong-Gee Kim, SeokHwan Oh, Guil Jung, Hyeon-Jik Lee, Sang-Yun Kim, Hyuksool Kwon, Sang-Il Choi, Hyeon-Min Bae:
Quantitative Assessment of Thyroid Nodules Through Ultrasound Imaging Analysis. MICCAI (4) 2024: 711-720 - [c6]SeokHwan Oh, Guil Jung, Sang-Yun Kim, Myeong-Gee Kim, Young-Min Kim, Hyeon-Jik Lee, Hyuksool Kwon, Hyeon-Min Bae:
Uncertainty-Aware Meta-weighted Optimization Framework for Domain-Generalized Medical Image Segmentation. MICCAI (4) 2024: 775-785 - [i1]SeokHwan Oh, Guil Jung, Myeong-Gee Kim, Sang-Yun Kim, Young-Min Kim, Hyeon-Jik Lee, Hyuksool Kwon, Hyeon-Min Bae:
Key-point Guided Deformable Image Manipulation Using Diffusion Model. CoRR abs/2401.08178 (2024) - 2023
- [c5]SeokHwan Oh, Myeong-Gee Kim, Young-Min Kim, Guil Jung, Hyuksool Kwon, Hyeon-Min Bae:
Spatio-Temporal Quantitative Ultrasound Imaging for Breast Cancer Identification. ISBI 2023: 1-5 - 2022
- [c4]SeokHwan Oh, Myeong-Gee Kim, Youngmin Kim
, Guil Jung, Hyuksool Kwon, Hyeon-Min Bae:
Sensor Geometry Generalization to Untrained Conditions in Quantitative Ultrasound Imaging. MICCAI (6) 2022: 780-789 - 2021
- [j1]Myeong-Gee Kim, SeokHwan Oh, Youngmin Kim, Hyuksool Kwon, Hyeon-Min Bae:
Robust Single-Probe Quantitative Ultrasonic Imaging System With a Target-Aware Deep Neural Network. IEEE Trans. Biomed. Eng. 68(12): 3737-3747 (2021) - [c3]SeokHwan Oh, Myeong-Gee Kim, YoungMin Kim, Hyeon-Min Bae:
A Learned Representation For Multi-Variable Ultrasonic Lesion Quantification. ISBI 2021: 1177-1181 - [c2]Myeong-Gee Kim, SeokHwan Oh, Youngmin Kim, Hyuksool Kwon, Hyeon-Min Bae:
Learning-Based Attenuation Quantification in Abdominal Ultrasound. MICCAI (7) 2021: 14-23 - [c1]SeokHwan Oh, Myeong-Gee Kim, Youngmin Kim, Hyuksool Kwon, Hyeon-Min Bae:
A Neural Framework for Multi-variable Lesion Quantification Through B-Mode Style Transfer. MICCAI (6) 2021: 222-231
Coauthor Index
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