Research Interests
Dr Yang's research interests include:
- Pattern Recognition and Machine Learning
- Dimension Reduction (PCA, ICA)
- Manifold Learning (Laplacian Eigenmaps)
- Classification (Decision Trees, SVM) and Regression (SVR)
- Clustering (k-means, fuzzy clustering, Hierarchical clustering)
- Deep Learning (Auto-encoders, CNN, Reinforcement Learning)
- Medical Image Processing and Analysis
- Image Reconstruction (Optimisation, Regularisation, Compressive Sensing)
- Image Co-registration (Affine, Non-rigid, Free-Form Deformations)
- Image Segmentation (Classification Based, Super-pixel, Conditional Random Field, Graph Cut, Deep Learning)
- Image Super-resolution (Dictionary Learning, Deep Learning, Regression)
- Image Denoising (Wavelet)
- Medical Image Modalities
- Digital Mammography and Digital Breast Tomosynthesis (Reconstruction, Registration)
- CT (Reconstruction, Registration, Segmentation)
- MR Spectroscopy (Classification, Segmentation)
- Diffusion Tensor Imaging (Classification, Segmentation)
- Perfusion MRI (Image Processing)
- Functional MRI (Image Processing)
- Cardiac MRI (Reconstruction, Image Processing, Classification, Segmentation)
- Breast Cancer (Digital Mammography and Digital Breast Tomosynthesis)
- Colon Cancer (CT)
- Brain Tumour (Structural MRI, MR Spectroscopy, Diffusion Tensor Imaging, Perfusion MRI)
- Atrial Fibrillation (MR Angiography, Structural MRI, LGE MRI)
Research Collaborators

Dr. Greg Slabaugh, Senior Lecturer in Computer Science. Department of Computer Science, School of Informatics, City University, London.
Dr. Xujiong Ye, Reader in Computer Science. School of Computer Science, University of Lincoln.
Prof. Xiahai Zhuang, Associate Professor on Medical Image Computing. School of Data Science, Fudan University.
Prof. Guang-Zhong Yang, Director of the Hamlyn Centre. Faculty of Engineering, Department of Computing, Imperial College London.
Prof. Pier Luigi Dragotti, Professor of Signal Processing. Faculty of Engineering, Department of Electrical and Electronic Engineering, Imperial College London.
Prof. Yi-ke Guo, Director of the Data Science Institute. Faculty of Engineering, Department of Computing, Imperial College London.
Prof. Simon Arridge, Professor of Image Processing, Director of the UCL Centre for Inverse Problems, and Head of Vision and Imaging Science Group. Department of Computer Science, Engineering Front Building, Malet Place, University College London
Professional Memberships

Member of the International Society for Optics and Photonics (SPIE)
Member of Institute of Electrical and Electronics Engineers (IEEE)
Member of International Society for Magnetic Resonance in Medicine (ISMRM)
Member of the British Machine Vision Association (BMVA)
Professional Activities

- Associate Editor (Ad-Hoc)
- Medical Physics (American Association of Physicists in Medicine)
- Journals and Conferences Reviewer (Total Referee > 50)
- IEEE Transactions on Medical Imaging (IEEE)
- The British Journal of Radiology (British Institute of Radiology)
- Symmetry (Multidisciplinary Digital Publishing Institute)
- NMR in Biomedicine (Wiley)
- Journal of Cardiovascular Magnetic Resonance (BioMed Central)
- International Journal of Computer Assisted Radiology and Surgery (Springer)
- International Journal of Pattern Recognition and Artificial Intelligence (WSP)
- Pattern Recognition (Elsevier)
- Physics in Medicine and Biology (IOPscience)
- IEEE Journal of Biomedical and Health Informatics (IEEE)
- The Annals of the British Machine Vision Association (The British Machine Vision Association and Society for Pattern Recognition)
- Neuroradiology (Springer)
- Medical Physics (American Association of Physicists in Medicine)
- Physica Medica: European Journal of Medical Physics (Elsevier)
- Magnetic Resonance in Medicine (Wiley)
- PLOS ONE (Public Library of Science)
- Medical Image Analysis and Understanding (MIUA)
- IEEE International Symposium on Biomedical Imaging (ISBI)
- Key Organiser
- International Workshop and Challenge on Multi-Modality Whole Heart Segmentation in conjunction with STACOM and MICCAI 2017
- Conference Chair
- Medical Image Analysis and Understanding (MIUA 2017): Cardiovascular imaging Oral Session
- Technical Committee
- Medical Image Analysis and Understanding (MIUA 2014-now)
Student Co-Supervision

PhD Student: M Soltaninejad (First Supervisor: Dr. Xujiong Ye, University of Lincoln)
PhD Student: N Olliverre (First Supervisor: Dr. Greg Slabaugh, City University London)
Grants

Funder reference: PG/16/78/32402
Funder name: British Heart Foundation
Description: Combined compressed sensing and super-resolution for 3D late enhancement imaging improves scar segmentation and quantification in atrial fibrillation (2017-2019)