Wonsik Jung's Projects
Inter-Regional High-level Relation Learning from Functional Connectivity via Self-Supervision - PyTorch Implementation (MICCAI 2021)
collection of awesome research in brain decoding, including interaction with multi-modalities, theories, and foundation models.
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
A collection of resources on applications of Transformers in Medical Imaging.
Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
Configurable Pipeline for the Analysis of Connectomes
Deep Recurrent Model for Individualized Prediction of Alzheimer’s Disease Progression - PyTorch Implementation (NeuroImage 2021)
demun의 깃헙페이지
technology blog
(Reproducibility) Identifying Resting-State Effective Connectivity Abnormalities in Drug-Naïve Major Depressive Disorder Diagnosis via Graph Convolutional Networks - TensorFlow Implementation (Human Brain Mapping, 2020)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
MRI brain extraction tool
A quicker, cleaner way to get started blogging with Hydejack.
Analysis Code for Paper "Moving Beyond Processing and Analysis-Related Variation in Neuroscience"
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Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
StarGAN - Official PyTorch Implementation (CVPR 2018)
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)