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2dpca-image-representation

adaptively-connected-neural-networks

A re-implementation of our CVPR 2019 paper "Adaptively Connected Neural Networks"

ar-dcc_residual_analysis

autoregressive-dynamic conditional correlation model with residual analysis, Designed for fMRI analysis(Dynamic Functional Connectivity), useful for other applications too.

autism_connectivity_phd

Source files for my PhD thesis "Brain functional connectivity and its aberrations in mouse models of autism"

basisexp_tmi2016

Matlab code for simulation section from "Basis Expansions Approaches for Regularized Sequential Dictionary Learning Algorithms with Enforced Sparsity for fMRI Data Analysis" paper.

cnn-3d-images-tensorflow

3D image classification using CNN (Convolutional Neural Network)

double-fusion

A Bayesian Double Fusion Model for Resting-State Brain Connectivity Using Joint Functional and Structural Data

face-recognition-based-on-pca-and-svm

基于PCA和SVM的人脸识别

hf-fcn-for-robust-building-extraction

Hierarchically Fused Fully Convolutional Network for Robust Building Extraction ACCV 2016

ml-basic-artificial-neural-networks-algorithms

PCA/SVM/Hopfield/ Kohonen/ Perceptron/Competitive / XOR_BP/Genetic algorithms

models

Models built with TensorFlow

network-diffusion-model

Linear network diffusion model for functional connectivity from fMRI data. Model is informed by the Laplacian of the underlying structural network from dMRI.

neural-network-sparse-connectivity

A Neural Network Model for Predictive Sparse Connectivity Patterns in rs-fMRI

scplearn

This software generates Sparse Connectivity Patterns from resting state fmri connectivity data.

sparse-connectivity-patterns-fmri

Modelling sparse connectivity and network extraction using generative-discriminative methods

sparse-representation-based-method

H. Cao, J. Duan, D. Lin, YY Shugart, V. Calhoun, and Y. Wang, Sparse Representation Based Biomarker Seleletion for Schizophrenia with Integrated Analysis of fMRI and SNPs, NeuroImage (2014), http://dx.doi.org/10.1016j.neuroimage.2014.01.021 H. Cao, J. Duan, D. Lin, V. Calhoun, and Y. Wang, Integrating fMRI and SNP data for biomarker identification for Schizophrenia with a sparse representation based variable selection method, BMC Medical Genomics, Nov.2013, 6(3):S2, doi:10.1186/1755-8794-6-S3-S2.

svm_pca_face_detection

PCA+SVM+KFold方法人脸识别（Face Detection using PCA+SVM）

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-image-classification

CNN for multi-class image recognition in tensorflow

tensorflow-tutorial

Tensorflow tutorial from basic to hard

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos