Chenjie Ge

Visar 19 publikationer

2021

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

Roger Alves De Oliveira, Chenjie Ge, Irene Yu-Hua Gu et al
Konferensbidrag (offentliggjort, men ej förlagsutgivet)
2021

Deep Feature Clustering for Seeking Patterns in Daily Harmonic Variations

Chenjie Ge, Roger Alves De Oliveira, Irene Yu-Hua Gu et al
IEEE Transactions on Instrumentation and Measurement. Vol. 70
Artikel i vetenskaplig tidskrift
2021

Introduction to Deep Learning in Clinical Neuroscience (accepted)

Eddie de Dios, Muhaddisa Barat Ali, Irene Yu-Hua Gu et al
Machine Learning in Clinical Neuroscience: Foundations and Applications (to appear, in Springer Nature book)
Kapitel i bok
2021

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

Chenjie Ge, Roger Alves De Oliveira, Irene Yu-Hua Gu et al
Electric Power Systems Research. Vol. 194
Artikel i vetenskaplig tidskrift
2021

Deep Feature Clustering for Seeking Patterns in Daily Harmonic Variations

Chenjie Ge, Roger Alves de Oliverra, Irene Yu-Hua Gu et al
IEEE Transactions on Instrumentation and Measurement. Vol. 70, p. 1-10
Artikel i vetenskaplig tidskrift
2020

Deep semi-supervised learning for brain tumor classification

Chenjie Ge, Irene Yu-Hua Gu, Asgeir Store Jakola et al
BMC Medical Imaging. Vol. 20 (1)
Artikel i vetenskaplig tidskrift
2020

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

Chenjie Ge, Irene Yu-Hua Gu, Asgeir Store Jakola et al
IEEE Access. Vol. 8 (1), p. 22560-22570
Artikel i vetenskaplig tidskrift
2019

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

Chenjie Ge, Qixun Qu, Irene Yu-Hua Gu et al
Neurocomputing. Vol. 350, p. 60-69
Artikel i vetenskaplig tidskrift
2019

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

Chenjie Ge, Irene Yu-Hua Gu, Asgeir Store Jakola et al
Proceedings - International Conference on Image Processing, ICIP. Vol. September, p. 559-563
Paper i proceeding
2019

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

Chenjie Ge, Qixun Qu, Irene Yu-Hua Gu et al
Proceedings - International Conference on Image Processing, ICIP, p. 789-793
Paper i proceeding
2019

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

Chenjie Ge, Irene Yu-Hua Gu, Jie Yang
Internationa Research Journal of Engineering and Technology (IRJET). Vol. 6 (9), p. 993-1000
Artikel i vetenskaplig tidskrift
2018

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

Chenjie Ge, Irene Yu-Hua Gu, Asgeir Jakola et al
, p. 5894-5897
Paper i proceeding
2018

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

Chenjie Ge, Qixun Qu, Irene Yu-Hua Gu et al
2018 IEEE International Conference on Image Processing: Proceedings, p. 141-145
Paper i proceeding
2018

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

Chenjie Ge, Irene Yu-Hua Gu, Jie Yang
, p. 1572-1575
Paper i proceeding
2017

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

Chenjie Ge, Nikola Kasabov, Zhi Liu et al
Information Sciences. Vol. 399 (August 2017), p. 30-42
Artikel i vetenskaplig tidskrift
2017

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

Chenjie Ge, Irene Yu-Hua Gu, Jie Yang
IEEE International workshop on Machine learning for signal processing (MLSP 2017), p. 6-
Paper i proceeding
2016

Co-saliency detection via inter and intra saliency propagation

Chenjie Ge, Keren Fu, Fanghui Liu et al
Signal Processing: Image Communication. Vol. 44, p. 69-83
Artikel i vetenskaplig tidskrift
2015

Co-saliency detection via similarity-based saliency propagation

Chenjie Ge, Keren Fu, Yijun Li et al
2015 IEEE International Conference on Image Processing (ICIP), p. 1845 - 1849
Paper i proceeding

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