김재훈 (성균관대학교 의과대학, 삼성서울병원)님 | 한빛사연구자 > 한빛사

성균관대학교 의과대학, 삼성서울병원

최종업데이트 2024.02.22.

Comprehensive deep learning-based assessment of living liver donor CT angiography: from vascular segmentation to volumetric analysis
- Int. J. Surg., Jun 13 2024, | https://doi.org/10.1097/JS9.0000000000001829
- 2024-06
- 의약학
- 한빛사논문
3D auto-segmentation of biliary structure of living liver donors using magnetic resonance cholangiopancreatography for enhanced preoperative planning
- Int. J. Surg., January 11, 2024. | DOI: 10.1097/JS9.0000000000001067
- 2024-01
- 의약학
- 한빛사논문
Breast Cancer Heterogeneity: MR Imaging Texture Analysis and Survival Outcomes
- Radiology, 2017 Mar;282(3):665-675 | https://doi.org/10.1148/radiol.2016160261
- 2017-03
- 상위피인용논문
Defining functional SMA and pre-SMA subregions in human MFC using resting state fMRI: Functional connectivity-based parcellation method
- Neuroimage, Volume 49, Issue 3, 1 February 2010, Pages 2375-2386 | https://doi.org/10.1016/j.neuroimage.2009.10.016
- 2010-02
- 상위피인용논문

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