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Yeshin Kim

Showing results (21-30 of 81) with videos related to

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Biomedical Engineering Online|April 29, 2023
Machine learning application for classification of Alzheimer's disease stages using <sup>18</sup>F-flortaucipir positron emission tomographySang Won Park, Na Young Yeo, Jinsu Lee, et al.
Neuroimage. Clinical|June 27, 2020
Dynamic association between AT(N) profile and cognition mediated by cortical thickness in Alzheimer's continuumJae-Won Jang, Yeshin Kim, Seongheon Kim, et al.
European Journal of Nuclear Medicine and Molecular Imaging|June 29, 2020
Correction to: Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomesJun Pyo Kim, Jeonghun Kim, Yeshin Kim, et al.
Dementia and Neurocognitive Disorders|November 8, 2024
Korea-Registries to Overcome Dementia and Accelerate Dementia Research (K-ROAD): A Cohort for Dementia Research and Ethnic-Specific InsightsHyemin Jang, Daeun Shin, Yeshin Kim, et al.
European Journal of Nuclear Medicine and Molecular Imaging|February 11, 2020
Correction to: Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomesJun Pyo Kim, Jeonghun Kim, Yeshin Kim, et al.
Frontiers in Aging Neuroscience|March 20, 2023
Clinical outcomes of increased focal amyloid uptake in individuals with subthreshold global amyloid levelsJaeho Kim, Yeong Sim Choe, Yuhyun Park, et al.
European Journal of Nuclear Medicine and Molecular Imaging|December 30, 2019
Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomesJun Pyo Kim, Jeonghun Kim, Yeshin Kim, et al.
Scientific Reports|July 12, 2018
Social Event Memory Test (SEMT): A Video-based Memory Test for Predicting Amyloid Positivity for Alzheimer's DiseaseKo Woon Kim, Jong Doo Choi, Hyejoo Lee, et al.
Brain : a Journal of Neurology|February 17, 2019
Functional connectivity associated with tau levels in ageing, Alzheimer's, and small vessel diseaseNicolai Franzmeier, Anna Rubinski, Julia Neitzel, et al.
Scientific Reports|August 30, 2022
Machine learning-based automatic estimation of cortical atrophy using brain computed tomography imagesJae-Won Jang, Jeonghun Kim, Sang-Won Park, et al.
Pageof 9

Showing results (21-30 of 81) with videos related to

Sort By:
Pageof 9
Biomedical Engineering Online|April 29, 2023
Machine learning application for classification of Alzheimer's disease stages using <sup>18</sup>F-flortaucipir positron emission tomographySang Won Park, Na Young Yeo, Jinsu Lee, et al.
Neuroimage. Clinical|June 27, 2020
Dynamic association between AT(N) profile and cognition mediated by cortical thickness in Alzheimer's continuumJae-Won Jang, Yeshin Kim, Seongheon Kim, et al.
European Journal of Nuclear Medicine and Molecular Imaging|June 29, 2020
Correction to: Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomesJun Pyo Kim, Jeonghun Kim, Yeshin Kim, et al.
Dementia and Neurocognitive Disorders|November 8, 2024
Korea-Registries to Overcome Dementia and Accelerate Dementia Research (K-ROAD): A Cohort for Dementia Research and Ethnic-Specific InsightsHyemin Jang, Daeun Shin, Yeshin Kim, et al.
European Journal of Nuclear Medicine and Molecular Imaging|February 11, 2020
Correction to: Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomesJun Pyo Kim, Jeonghun Kim, Yeshin Kim, et al.
Frontiers in Aging Neuroscience|March 20, 2023
Clinical outcomes of increased focal amyloid uptake in individuals with subthreshold global amyloid levelsJaeho Kim, Yeong Sim Choe, Yuhyun Park, et al.
European Journal of Nuclear Medicine and Molecular Imaging|December 30, 2019
Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomesJun Pyo Kim, Jeonghun Kim, Yeshin Kim, et al.
Scientific Reports|July 12, 2018
Social Event Memory Test (SEMT): A Video-based Memory Test for Predicting Amyloid Positivity for Alzheimer's DiseaseKo Woon Kim, Jong Doo Choi, Hyejoo Lee, et al.
Brain : a Journal of Neurology|February 17, 2019
Functional connectivity associated with tau levels in ageing, Alzheimer's, and small vessel diseaseNicolai Franzmeier, Anna Rubinski, Julia Neitzel, et al.
Scientific Reports|August 30, 2022
Machine learning-based automatic estimation of cortical atrophy using brain computed tomography imagesJae-Won Jang, Jeonghun Kim, Sang-Won Park, et al.
Pageof 9