Kim, Namkug
Asan Medical Center · University of Ulsan
6 papers on CoChatORCID 0000-0002-3438-2217
Most cited papers
- Verified
Application of deep learning–based computer-aided detection system: detecting pneumothorax on chest radiograph after biopsy
Park, S., Lee, S. M., Kim, N., Choe, J., Cho, Y., Do, K.-H., & Seo, J. B. (2019) · European Radiology
COVID-19 diagnosis using AIRadiomics and Machine Learning in Medical Imaging
Cited by 71
- Verified
Sex differences in amygdala subregions: evidence from subregional shape analysis
Kim, H. J., Kim, N., Kim, S., Hong, S., Park, K., Lim, S., Park, J.-M., Na, B., Chae, Y., Lee, J., et al. (2012) · NeuroImage
Memory and Neural MechanismsNeural and Behavioral Psychology Studies
Cited by 40
- Verified
Preoperative data-based deep learning model for predicting postoperative survival in pancreatic cancer patients
Lee, W., Park, H. J., Lee, H.-J., Jun, E., Song, K. B., Hwang, D. W., Lee, J. H., Lim, K., Kim, N., Lee, S. S., et al. (2022) · International Journal of Surgery
Pancreatic and Hepatic Oncology ResearchRadiomics and Machine Learning in Medical Imaging
Cited by 35
- Verified
Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT
Kyung, S., Shin, K., Jeong, H., Kim, K. D., Park, J., Cho, K., Lee, J. H., Hong, G., & Kim, N. (2022) · Medical Image Analysis
Intracerebral and Subarachnoid Hemorrhage ResearchMedical Image Segmentation Techniques
Cited by 32
- Verified
A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides
Kim, Y.-G., Choi, G., Go, H., Cho, Y., Lee, H., Lee, A.-R., Park, B., & Kim, N. (2019) · Scientific Reports
AI in cancer detectionAdvanced Neural Network Applications
Cited by 29
- Verified
Amygdalar shape analysis method using surface contour aligning, spherical mapping, and probabilistic subregional segmentation
Kim, N., Kim, H. J., Hwang, J., Yoon, S. J., Cho, H. B., Renshaw, P. F., Lyoo, I. K., & Kim, J. E. (2011) · Neuroscience Letters
Medical Image Segmentation TechniquesMorphological variations and asymmetry
Cited by 11
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