Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data
Min Ju Kang(Seoul National University), Young Chul Youn(Chung-Ang University Hospital), Byeong C. Kim(Chonnam National University Hospital), Jee Hyang Jeong(Ewha Womans University), Duk L. Na(Samsung Medical Center), Min Jae Baek(Seoul National University Bundang Hospital), Bora Yoon(Konyang University), So Young Moon(Ajou University), Hae Ri Na(Bobath memorial hospital), Kyung Won Park(Dong-A University), Kee Hyung Park(Deleted Institution), Seong Yoon Kim(Ulsan College), Sang Won Seo(Sungkyunkwan University), Hyun Jeong Han(Kyungdong University), Jong Hun Kim(National Health Insurance Service), Eun‐Joo Kim(Pusan National University Hospital), Jae‐Hong Lee(Asan Medical Center), Soo Jin Yoon(Eulji University), Seol‐Heui Han(Chungbuk National University), YoungSoon Yang(Veterans Health Service Medical Center), Seong Hye Choi(Inha University), SangYun Kim(University of Minnesota), Yong S. Shim(The Catholic University of Korea Seoul St. Mary's Hospital), Dong Won Yang(St. Mary's Hospital)
Cited by 71
Related Papers
World‐Wide FINGERS Network: A global approach to risk reduction and prevention of dementia
|Alzheimer s & Dementia|2020|516
Regional analysis of FDG and PIB-PET images in normal aging, mild cognitive impairment, and Alzheimer’s disease
|European Journal of Nuclear Medicine and Molecular Imaging|2008|277
Endovascular Treatment and the Outcomes of Atherosclerotic Intracranial Stenosis in Patients With Hyperacute Stroke
|Neurosurgery|2015|179
Ensembles of Patch-Based Classifiers for Diagnosis of Alzheimer Diseases
|IEEE Access|2019|150