Chenjie Ge

Project assistent at Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, Imaging and Image Analysis

Chenjie Ge is a PhD student in signal processing group at the Department of Electrical Engineering. His research areas are computer vision and machine learning methods and applications. Some possible applications include assisted-living for eHealthCare, activity classification and traffic analysis. Professor Irene Gu is his main supervisor and examiner, and Professor Jie Yang at SJTU is the co-supervisor at Chalmers.

Source: chalmers.se

Showing 12 publications

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
Journal article
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
Journal article
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 in proceedings
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. 4 pages-
Paper in proceedings
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
Journal article
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 in proceedings
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 in proceedings
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 in proceedings
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
Journal article
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 in proceedings
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
Journal article
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 in proceedings

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