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
Reimplement of the Brain Captioning: Decoding human brain activity into images and text (arXiv 2023)
Reimplement of the Natural scene reconstruction from fMRI signals using generative latent diffusion (Scientific Reports, 2023)
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.
Reimplement of the Reconstructing the Mind’s Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors (NeurIPS 2024)
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)