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2020 – today
- 2022
[j3]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:
Prediction of amyloid PET positivity via machine learning algorithms trained with EDTA-based blood amyloid-β oligomerization data. BMC Medical Informatics Decis. Mak. 22(1): 286 (2022)
2010 – 2019
- 2019
- [j2]Sankaraleengam Alagapan
, Caroline Lustenberger, Eldad Hadar, Hae Won Shin, Flavio Fröhlich:
Low-frequency direct cortical stimulation of left superior frontal gyrus enhances working memory performance. NeuroImage 184: 697-706 (2019) - 2016
- [j1]Khosro Bahrami, Feng Shi, Xiaopeng Zong, Hae Won Shin, Hongyu An, Dinggang Shen:
Reconstruction of 7T-Like Images From 3T MRI. IEEE Trans. Medical Imaging 35(9): 2085-2097 (2016) - 2015
- [c2]Khosro Bahrami, Feng Shi, Xiaopeng Zong, Hae Won Shin, Hongyu An, Dinggang Shen:
Hierarchical Reconstruction of 7T-like Images from 3T MRI Using Multi-level CCA and Group Sparsity. MICCAI (2) 2015: 659-666 - 2014
- [c1]Tim Pluta, Roman Bernardo, Hae Won Shin, Danilo R. Bernardo:
Unsupervised learning of electrocorticography motifs with binary descriptors of wavelet features and hierarchical clustering. EMBC 2014: 2657-2660
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