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Jun Pyo Kim

Showing results (41-50 of 129) with videos related to

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Genetics|March 7, 2007
Comparative physical mapping between Oryza sativa (AA genome type) and O. punctata (BB genome type)HyeRan Kim, Phillip San Miguel, William Nelson, et al.
Clinical Nuclear Medicine|December 4, 2023
Clinical and Pathological Validation of CT-Based Regional Harmonization Methods of Amyloid PETSoo-Jong Kim, Hyemin Jang, Heejin Yoo, et al.
Frontiers in Aging Neuroscience|October 8, 2025
Regional CSF volume quantification using deep learning for comparative analysis of brain atrophy in frontotemporal dementia subtypesKyoung Yoon Lim, Soyeon Yoon, Seongbeom Park, et al.
Scientific Reports|June 14, 2026
Scalable CT-based prognostic modeling of dementia conversion in mild cognitive impairmentSeongbeom Park, Jehyun Ahn, Duk L Na, et al.
Scientific Reports|March 27, 2021
Predicting amyloid positivity in patients with mild cognitive impairment using a radiomics approachJun Pyo Kim, Jonghoon Kim, Hyemin Jang, et al.
Scientific Reports|January 23, 2020
Frontal-executive dysfunction affects dementia conversion in patients with amnestic mild cognitive impairmentYoung Hee Jung, Seongbeom Park, Hyemin Jang, 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.
Langmuir : the ACS Journal of Surfaces and Colloids|April 8, 2010
Rigiflex lithography-based nanodot arrays for localized surface plasmon resonance biosensorsDong Kyu Park, Hye In Kim, Jun Pyo 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.
Pageof 13

Showing results (41-50 of 129) with videos related to

Sort By:
Pageof 13
Genetics|March 7, 2007
Comparative physical mapping between Oryza sativa (AA genome type) and O. punctata (BB genome type)HyeRan Kim, Phillip San Miguel, William Nelson, et al.
Clinical Nuclear Medicine|December 4, 2023
Clinical and Pathological Validation of CT-Based Regional Harmonization Methods of Amyloid PETSoo-Jong Kim, Hyemin Jang, Heejin Yoo, et al.
Frontiers in Aging Neuroscience|October 8, 2025
Regional CSF volume quantification using deep learning for comparative analysis of brain atrophy in frontotemporal dementia subtypesKyoung Yoon Lim, Soyeon Yoon, Seongbeom Park, et al.
Scientific Reports|June 14, 2026
Scalable CT-based prognostic modeling of dementia conversion in mild cognitive impairmentSeongbeom Park, Jehyun Ahn, Duk L Na, et al.
Scientific Reports|March 27, 2021
Predicting amyloid positivity in patients with mild cognitive impairment using a radiomics approachJun Pyo Kim, Jonghoon Kim, Hyemin Jang, et al.
Scientific Reports|January 23, 2020
Frontal-executive dysfunction affects dementia conversion in patients with amnestic mild cognitive impairmentYoung Hee Jung, Seongbeom Park, Hyemin Jang, 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.
Langmuir : the ACS Journal of Surfaces and Colloids|April 8, 2010
Rigiflex lithography-based nanodot arrays for localized surface plasmon resonance biosensorsDong Kyu Park, Hye In Kim, Jun Pyo 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.
Pageof 13