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Chengtao Ji

  • room number: 487 (Bernoulliborg, building 5161)
  • e-mail: c.ji rug.nl

Research

Chengtao Ji is working on a research project on the visualization of brain connectomics data.

Supervised by

His research is sponsored by the China Scholarship Council (CSC).

Research interests

  • Data Visualization/Analysis
  • Complex Network Analysis
  • Image Processing

Chengtao's recent publications

(For more publications go to Chengtao's publications page.)

2019

2018

Chengtao Ji. Visualization and exploration of multichannel EEG coherence networks. PhD thesis, University of Groningen, 2018.   url
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Chengtao Ji, Natasha M. Maurits, and Jos B. T. M Roerdink. Visual Analysis of Evolution of EEG Coherence Networks employing Temporal Multidimensional Scaling. In Eurographics Workshop on Visual Computing for Biology and Medicine. The Eurographics Association, 2018.   doi
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Chengtao Ji, Natasha M. Maurits, and Jos B. T. M Roerdink. Comparison of Brain Connectivity Networks Using Local Structure Analysis. In The 7th International Conference on Complex Networks & Their Applications. 2018. accepted.   bib
Chengtao Ji, Natasha M. Maurits, and Jos B. T. M Roerdink. Data-Driven Visualization of Multichannel EEG Coherence Networks Based on Community Structure Analysis. Applied Network Science, 3(1), 2018.   bib
Chengtao Ji, Jasper J. van de Gronde, Natasha M. Maurits, and Jos B. T. M Roerdink. Visual Exploration of Dynamic Multichannel EEG Coherence Networks. Computer Graphics Forum, 2018. invited paper, accepted.   bib