Machine Intelligence Laboratory
Machine Intelligence Laboratory @ Korea University
510, Science Library, Korea University 145 Anam-Ro, Seongbuk-Gu, Seoul 02841, Korea
Pinned Repositories
CE_SCST
Pytorch implementation of "Enhancing Contextual Encoding with Stage-confusion and Stage-transition Estimation for EEG-based Sleep Staging"
DeepLearningTutorial
Deep Learning tutorial
EAG-RS
EAG-RS: A Novel Explainability-guided ROI Selection Framework for ASD diagnosis via Inter-regional Relation Learning - PyTorch Implementation (IEEE-TMI 2023)
LEAR
Tensorflow implementation of "Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model"
LiCoL
MGICNN
Implementation of "Multi-scale Gradual Itegration Convolutional Neural Network for False Positive Reduction in Pulmonary Nodule Detection"
PL-FC
rDNN
Implementation of "Toward an Interpretable Alzheimer's Disease Diagnostic Model with Regional Abnormality Representation via Deep Learning"
TransSleep
A source code for deep learning-based autonomous sleep staging.
V-RIN
Implementation of "Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series"
Machine Intelligence Laboratory's Repositories
ku-milab/LEAR
Tensorflow implementation of "Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model"
ku-milab/PL-FC
ku-milab/EAG-RS
EAG-RS: A Novel Explainability-guided ROI Selection Framework for ASD diagnosis via Inter-regional Relation Learning - PyTorch Implementation (IEEE-TMI 2023)
ku-milab/LiCoL
ku-milab/CE_SCST
Pytorch implementation of "Enhancing Contextual Encoding with Stage-confusion and Stage-transition Estimation for EEG-based Sleep Staging"
ku-milab/Deep-Efficient-Continuous-Manifold-Learning
ku-milab/GMBA
Pytorch implementation of "Age-Aware Guidance via Masking-Based Attention in Face Aging" [CIKM 2023]
ku-milab/PG-BrainBagNet
ku-milab/TransSleep
A source code for deep learning-based autonomous sleep staging.
ku-milab/XADLiME
We propose a novel deep-learning approach through eXplainable AD Likelihood Map Estimation (XADLiME) for AD progression modeling over 3D sMRIs using clinically-guided prototype learning
ku-milab/Deep-Geometric-AD
ku-milab/ENGINE
A deep learning framework for imaging genetics
ku-milab/FIESTA
ku-milab/FMM
Frequency Mixup Manipulation based Unsupervised Domain Adaptation for Brain Disease Identification
ku-milab/GCN_Informative_Regional_Relation_Representation
ku-milab/learnable-counter-condition-FC
What if patients were recovered? A learnable counter-condition analysis framework for functional connectivity-based ASD diagnosis
ku-milab/MoANA
Pytorch implementation of "MoANA: Module of Axis-based Nexus Attention for Weakly Supervised Object Localization and Semantic Segmentation"
ku-milab/RSTNN
Implementation of "Deep recurrent spatio-temporal neural network for motor imagery based BCI"
ku-milab/UHF-guided_segmentation
PyTorch implementation of "Transferring Ultra-high Field Representations for Intensity-Guided Brain Segmentation of Low Field MRI"
ku-milab/ADT2R
Pytorch implementation of "Adaptive Decision Transformer for Dynamic Treatment Regimes in Sepsis"
ku-milab/BrainWaveNet
Official implementation of "BrainWaveNet: Wavelet-based Transformer for Autism Spectrum Disorder Diagnosis" (MICCAI 2024)
ku-milab/Counterfactual-Inference-in-Diffusion-Models
ku-milab/DIPNet
Repo for Dual Information Pathways Network (DIPNet) which developed to represent unarticulated speech EEG
ku-milab/ESTA
ku-milab/IdenBAT
ku-milab/Meta-Modulation-GenM
ku-milab/MSNN
Implementation of "Multi-Scale Neural Network for EEG Representation Learning in BCI"
ku-milab/RL_BCI
Implementation of "A Novel RL-assisted Deep Learninng Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs"
ku-milab/SFCNR
ku-milab/SGDAL