Chenjie Ge

Introduction to Deep Learning in Clinical Neuroscience

VISUALIZING THE RESULTS FROM UNSUPERVISED DEEP LEARNING FOR THE ANALYSIS OF POWER-QUALITY DATA

2021

Unsupervised Deep Learning and Analysis of Harmonic Variation Patterns using Big Data from Multiple Locations

Deep Feature Clustering for Seeking Patterns in Daily Harmonic Variations

2020

Machine Learning Methods for Image Analysis in Medical Applications, from Alzheimer's Disease, Brain Tumors, to Assisted Living

2020

Deep semi-supervised learning for brain tumor classification

2020

Enlarged Training Dataset by Pairwise GANs for Molecular-Based Brain Tumor Classification

Multi-Stream Multi-Scale Deep Convolutional Networks for Alzheimer's Disease Detection using MR Images

Cross-Modality Augmentation of Brain MR Images Using a Novel Pairwise Generative Adversarial Network for Enhanced Glioma Classification

Multiscale Deep Convolutional Networks for Characterization and Detection of Alzheimer's Disease using MR Images

Human Fall Detection using Co-Saliency-Enhanced Deep Recurrent Convolutional Neural Networks

Deep Learning and Multi-Sensor Fusion for Glioma Classification Using Multistream 2D Convolutional Networks

3D Multi-Scale Convolutional Networks for Glioma Grading Using MR Images

Co-Saliency-Enhanced Deep Recurrent Convolutional Networks for Human Fall Detection in E-Healthcare

A spiking neural network model for obstacle avoidance in simulated prosthetic vision

Human fall detection using segment-level CNN features and sparse dictionary learning

Co-saliency detection via inter and intra saliency propagation

Co-saliency detection via similarity-based saliency propagation