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Yongnan Ji
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Role: |
Marie Curie Fellow |
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Qualifications: |
BSc, MSc, PhD |
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Office: |
n/a |
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Telephone: |
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Email: |
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Homepage: |
http://www.ima.ac.uk/ |
CV and Current Research
I received my Bachelor's Degree of Engineering from Harbin Institute of Technology with the major of Electronic Information Engineering in 2003. After that I graduated with the degree of Master of Science in Technology from Helsinki University of Technology, Finland.
Currently I am working on novel multi-subject human brain parcellation methods based on fMRI signals. The methods could facilitate the research for relation between human brain function and structure.
I am also interested in machine learning algorithms and the application to different problems.
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Teaching & Supervision
My PhD Supervisors are Alain Pitiot, Uwe Aickelin, and Bai Li
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Conference Papers |
| Author(s) |
Title |
Publisher |
Page |
Year |
| Yongnan Ji, Pierre-Yves Herve, Uwe Aickelin, Alain Pitiot |
Parcellation of fMRI Datasets with ICA and PLS-A Data Driven Approach |
Proceedings of the 12th International Conference of Medical Image Computing and Computer-Assisted Intervention (MICCAI 2009), Part I, Lecture Notes in Computer Science 5761, London, UK |
984 - 991 |
2009 |
| Yongnan Ji, Bai Li |
Short-Term Habituation Detection in fMRI with EM algorithm |
The 12th Annual Conference on Medical Image Understanding and Analysis, Dundee, UK |
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2008 |
Research Reports |
| Author(s) |
Title |
Publisher |
Page |
Year |
| Yongnan Ji |
Data-driven fMRI data analysis based on parcellation |
PhD Thesis, School of Computer Science, University of Nottingham |
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2011 |
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Intelligent Modelling and Analysis Research Group, School of Computer Science, The University of Nottingham, Jubilee Campus, Nottingham, NG8 1BB, UK.
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