Domestic Conferences

Greedy layer-wise parameter-free weight-sparsity control of DNN for classification of fMRI data

Lustig N, Lee JH

Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Feb/2019
3D convolutional neural network for feature extraction and classification of fMRI volumes

Vu H, Kim HC, Lee JH 

Annual meeting of Organisation for Human Brain Mapping, Korea Chapter, Korean Society for Human Brain Mapping (KHBM), Nov/2018
[Best Poster Award]
DNN with Greedy Layer-Wise Parameter-Free weight sparsity control for fMRI data classification

Lustig N, Lee JH

Annual meeting of Organisation for Human Brain Mapping, Korea Chapter, Korean Society for Human Brain Mapping (KHBM), Nov/2018
Individual identification applying deep neural networks to dynamic functional connectivity patterns

Lee JHyeon, Kim HC, Lee JH 

Annual meeting of Organisation for Human Brain Mapping, Korea Chapter, Korean Society for Human Brain Mapping (KHBM), Nov/2018
[Best Poster Award]
Classification of competitive and collaborative decision-making processes across two reasoning orders: multivoxel pattern analysis of fMRI data

Kim DY, Jung EK, Zhang J, Lee SY, Lee JH

Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Jan/2018
Identification of functional connectivity associated with mindfulness based on mediation analysis in real-time fMRI neurofeedback

Kim HC, Tegethoff M, Meinlschmidt G, Stalujanis E, Belardi A, Jo SM, Lee JHyeon, Heo DW, Kim DY, Yoo SS, Lee JH.

Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Jan/2018
fMRI study of nicotine craving using MR-compatible e-cigarette smoking equipment and machine learning approach

Jo SM, Heo DW, Kim HC, Lustig Niv, Lee JH

Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Jan/2018
Deep neural network based subject identification using dynamic functional connectivity patterns in resting-state

Lee JHyeon, Kim HC, Lee JH 

Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Jan/2018
Classification of mindfulness and mind-wandering states using functional connectivity patterns

Lustig N, Kim HC, Lee JH 

Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Jan/2018
3D convolutional neural networks for feature extraction and classification of fMRI volumes acquied from sensorimotor tasks

Vu H, Kim HC, Lee JH 

Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Jan/2018
[Best Poster Award]