Young Chul Youn

According to our database, Young Chul Youn authored at least 4 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deep learning-based EEG analysis to classify normal, mild cognitive impairment, and dementia: Algorithms and dataset.

Min-jae Kim, Young Chul Youn, Joonki Paik

NeuroImage, May, 2023

2022

Prediction of amyloid PET positivity via machine learning algorithms trained with EDTA-based blood amyloid-β oligomerization data.

Young Chul Youn, Hye Ryoun Kim, Hae Won Shin, Hae-Bong Jeong, Sang-Won Han, Jung-Min Pyun, Nayoung Ryoo, Young Ho Park, Sangyun Kim

BMC Medical Informatics Decis. Mak., 2022

2020

Deep learning for EEG data analytics: A survey.

Gen Li, Chang Ha Lee, Jason J. Jung, Young Chul Youn, David Camacho

Concurr. Comput. Pract. Exp., 2020

2019

Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data.

Min Ju Kang, Sang Yun Kim, Duk L. Na, Byeong C. Kim, Dong Won Yang, Eun-Joo Kim, Hae Ri Na, Hyun Jeong Han, Jae-Hong Lee, Jong Hun Kim, Kee Hyung Park, Kyung Won Park, Seol-Heui Han, Seong Yoon Kim, Soo Jin Yoon, Bora Yoon, Sang Won Seo, So Young Moon, Young-Soon Yang, Yong S. Shim, Min Jae Baek, Jee Hyang Jeong, Seong Hye Choi, Young Chul Youn

BMC Medical Informatics Decis. Mak., 2019