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Jaeil Kim

Showing results (11-20 of 72) with videos related to

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Healthcare Informatics Research|November 1, 2013
Quantitative measurement method for possible rib fractures in chest radiographsJaeil Kim, Sungjun Kim, Young Jae Kim, et al.
Computational Diffusion MRI : MICCAI Workshop|July 19, 2021
Graph-Based Deep Learning for Prediction of Longitudinal Infant Diffusion MRI DataJaeil Kim, Yoonmi Hong, Geng Chen, et al.
IEEE Transactions on Medical Imaging|April 17, 2019
Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial NetworksYoonmi Hong, Jaeil Kim, Geng Chen, et al.
The AAPS Journal|November 19, 2024
Possibilities and Limitations in Substituting anti-Drug Antibody Titers with Signal-to-Noise Ratios: A Comprehensive Comparison Using Two Clinical Trial Datasets of AdalimumabDawon Jang, Jaeil Kim, Youngwon Jo, et al.
Scientific Reports|November 6, 2021
Deep visual domain adaptation and semi-supervised segmentation for understanding wave elevation using wave flume video imagesJinah Kim, Taekyung Kim, Sang-Ho Oh, et al.
Computational Diffusion MRI : MICCAI Workshop|July 19, 2021
Longitudinal Harmonization for Improving Tractography in Baby Diffusion MRIKhoi Minh Huynh, Jaeil Kim, Geng Chen, et al.
Scientific Reports|May 3, 2022
Spatiotemporal neural network with attention mechanism for El Niño forecastsJinah Kim, Minho Kwon, Sung-Dae Kim, et al.
Ultrasonography (Seoul, Korea)|February 10, 2025
Improving breast ultrasonography education: the impact of AI-based decision support on the performance of non-specialist medical professionalsSangwon Lee, Hye Sun Lee, Eunju Lee, et al.
Journal of the Korean Society of Radiology|April 13, 2026
Feasibility of Using an AI System for Breast Ultrasonography Interpretation According to Clinical Expertise: Results of a Pilot StudyJeeyoun Kim, Kyungwha Han, Keum Won Kim, et al.
ACS Applied Materials & Interfaces|February 15, 2023
3D Printable Self-Adhesive and Self-Healing Ionotronic Hydrogels for Wearable Healthcare DevicesMinho Seong, Stalin Kondaveeti, Geonjun Choi, et al.
Pageof 8

Showing results (11-20 of 72) with videos related to

Sort By:
Pageof 8
Healthcare Informatics Research|November 1, 2013
Quantitative measurement method for possible rib fractures in chest radiographsJaeil Kim, Sungjun Kim, Young Jae Kim, et al.
Computational Diffusion MRI : MICCAI Workshop|July 19, 2021
Graph-Based Deep Learning for Prediction of Longitudinal Infant Diffusion MRI DataJaeil Kim, Yoonmi Hong, Geng Chen, et al.
IEEE Transactions on Medical Imaging|April 17, 2019
Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial NetworksYoonmi Hong, Jaeil Kim, Geng Chen, et al.
The AAPS Journal|November 19, 2024
Possibilities and Limitations in Substituting anti-Drug Antibody Titers with Signal-to-Noise Ratios: A Comprehensive Comparison Using Two Clinical Trial Datasets of AdalimumabDawon Jang, Jaeil Kim, Youngwon Jo, et al.
Scientific Reports|November 6, 2021
Deep visual domain adaptation and semi-supervised segmentation for understanding wave elevation using wave flume video imagesJinah Kim, Taekyung Kim, Sang-Ho Oh, et al.
Computational Diffusion MRI : MICCAI Workshop|July 19, 2021
Longitudinal Harmonization for Improving Tractography in Baby Diffusion MRIKhoi Minh Huynh, Jaeil Kim, Geng Chen, et al.
Scientific Reports|May 3, 2022
Spatiotemporal neural network with attention mechanism for El Niño forecastsJinah Kim, Minho Kwon, Sung-Dae Kim, et al.
Ultrasonography (Seoul, Korea)|February 10, 2025
Improving breast ultrasonography education: the impact of AI-based decision support on the performance of non-specialist medical professionalsSangwon Lee, Hye Sun Lee, Eunju Lee, et al.
Journal of the Korean Society of Radiology|April 13, 2026
Feasibility of Using an AI System for Breast Ultrasonography Interpretation According to Clinical Expertise: Results of a Pilot StudyJeeyoun Kim, Kyungwha Han, Keum Won Kim, et al.
ACS Applied Materials & Interfaces|February 15, 2023
3D Printable Self-Adhesive and Self-Healing Ionotronic Hydrogels for Wearable Healthcare DevicesMinho Seong, Stalin Kondaveeti, Geonjun Choi, et al.
Pageof 8