Machine Intelligence Laboratory

LEAR

Tensorflow implementation of "Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model"

PL-FC

EAG-RS

EAG-RS: A Novel Explainability-guided ROI Selection Framework for ASD diagnosis via Inter-regional Relation Learning - PyTorch Implementation (IEEE-TMI 2023)

LiCoL

GMBA

Pytorch implementation of "Age-Aware Guidance via Masking-Based Attention in Face Aging" [CIKM 2023]

MIAM

Pytorch implementation of "Multi-view Integration Learning for Irregularly-sampled Clinical Time Series" (Under review, JBHI)

PG-BrainBagNet

TransSleep

A source code for deep learning-based autonomous sleep staging.

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

CE_SCST

Pytorch implementation of "Enhancing Contextual Encoding with Stage-confusion and Stage-transition Estimation for EEG-based Sleep Staging"

Deep-Efficient-Continuous-Manifold-Learning

Deep-Geometric-AD

ENGINE

A deep learning framework for imaging genetics

FIESTA

FMM

Frequency Mixup Manipulation based Unsupervised Domain Adaptation for Brain Disease Identification

GCN_Informative_Regional_Relation_Representation

learnable-counter-condition-FC

What if patients were recovered? A learnable counter-condition analysis framework for functional connectivity-based ASD diagnosis

MoANA

Pytorch implementation of "MoANA: Module of Axis-based Nexus Attention for Weakly Supervised Object Localization and Semantic Segmentation"

RSTNN

Implementation of "Deep recurrent spatio-temporal neural network for motor imagery based BCI"

UHF-guided_segmentation

PyTorch implementation of "Transferring Ultra-high Field Representations for Intensity-Guided Brain Segmentation of Low Field MRI"

ADT2R

Pytorch implementation of "Adaptive Decision Transformer for Dynamic Treatment Regimes in Sepsis"

DIPNet

Repo for Dual Information Pathways Network (DIPNet) which developed to represent unarticulated speech EEG

ESTA

IdenBAT

MedicalTransformer

Meta-Modulation-GenM

MSNN

Implementation of "Multi-Scale Neural Network for EEG Representation Learning in BCI"

RL_BCI

Implementation of "A Novel RL-assisted Deep Learninng Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs"

SFCNR

SGDAL