Imperial College London

DrGuangYang

Faculty of EngineeringDepartment of Bioengineering

Senior Lecturer
 
 
 
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Contact

 

g.yang Website

 
 
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Location

 

229Sir Michael Uren HubWhite City Campus

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Summary

 

Research Interests



This section is outdated.

Please visit my Linkedin and Twitter (@gyangMedIA) for the most recent information. Group Page: https://www.yanglab.fyi/. Recent publications at my Google Scholar.




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)
    Clinical Questions
    • 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)

ORCID



Research Collaborators

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Please visit my Linkedin and Twitter (@gyangMedIA) for the most recent information. Group Page: https://www.yanglab.fyi/. Recent publications at my Google Scholar.




  • Academic Collaborations

Queen Mary University of London

Prof. Greg Slabaugh, Director of the Digital Environment Research Institute (DERI) and Professor of Computer Vision and AI.

Digital Environment Research Institute, Queen Mary University of London, London, UK, E1 4NS. Tel. 44 (0)20 7882 5555. Email: g.slabaugh@qmul.ac.uk Prof. Slabaugh is a longstanding collaborator and we have worked together since 2014 on multiple projects. Research Outcomes: Olliverre et al. (MICCAI-W 2018), Yang et al. (IEEE TMI 2018), Yang et al. (MIUA 2017), Yang et al. (IEEE TBME 2015) and others. QUML Strength in Places Fund (SIPF) funding application (2020).


University of Oslo

Prof. Evandro Fei Fang, Founder of the NO-Age Network.

Department of Clinical Molecular Biology, Faculty of Medicine, University of Oslo. Tel. 47 (0)6796 3923. Email: fei.fang@medisin.uio.no Collaborated since 2019. Research Outcomes: Aman et al. (Mechanisms of Ageing and Development 2019), Zhou et al. (Frontiers in Aging Neuroscience 2020), and Xie et al. (Nature Biomedical Engineering 2021).


Maastricht University

Prof. Philippe Lambin, Head of the Department of Precision Medicine and Professor in Radiation Oncology.

Department of Precision Medicine, Maastricht University, Minderbroedersberg 4-6, 6211, LK Maastricht, Netherlands. Tel. 31 (0)43 388 2222. Email: philippe.lambin@maastrichtuniversity.nl Collaborated since 2019. Research Outcomes: Primakov et al. (Nature Reviews Clinical Oncology 2021, In Submission) and Bonmatí et al. (Frontiers in Oncology 2021). Multiple joint funding proposals—ERC Innovative Training Networks (2019, Unsuccessful Attempt), IMI DRAGON project (2020, Awarded) and ERC H2020 CHAIMELEON project (2020, Awarded).




  • Industrial Collaborations:

Radiomics.bio

Dr. Wim Vos, Chief Executive Officer.

Radiomics, Clos Chanmurly 13, 4000, Liège, Belgium. Tel. 32 (0)4 229 2280. Email: wim.vos@radiomics.bio Collaborated since 2020 on IMI DRAGON project.


The Medical Cloud Company — MedC2 (Comunicare)

Dr. Brice Van Eeckhout, Co-founder & Managing Director.

Research, Development and Management Office, The Medical Cloud Company MedC2, Clos Chanmurly 13, 4000 Liège, Belgium. Tel. 32 (0)4 778 981 28. Email: b.vaneeckhout@medicalcloudcompany.com Collaborated since 2020 on IMI DRAGON project.


Thirona

Dr. Eva van Rikxoort, Chief Executive Officer & Founder.

Research, Development and Management Office, Thirona, Toernooiveld 300 6525 EC Nijmegen, Netherlands. Tel. 31 (0)6 4714 2838. Email: evavanrikxoort@thirona.eu Collaborated since 2020 on IMI DRAGON project.


QUIBIM

Dr. Ángel Alberich-Bayarri, Chief Executive Officer & Founder.

Research, Development and Management Office, QUIBIM, Avenida Aragón 30 , 12 floor, 12-I 46021 Valencia, Spain. Tel. 34 (0)961 243 225. Email: angel@quibim.com Collaborated since 2020 on ERC H2020 CHAIMELEON project.

Professional Memberships

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Life Member of the International Society for Optics and Photonics (SPIE)
Senior 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

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  • Associate Editor
    • npj Digital Medicine (Nature Portfolio).
    • IEEE Transactions on Medical Imaging (IEEE).
    • IEEE Transactions on Cybernetics (IEEE).
    • IEEE Transactions on Big Data (IEEE).
    • IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE).
    • Neurocomputing (Elsevier).
    • Computers in Biology and Medicine (Elsevier).
    • Computerized Medical Imaging and Graphics (Elsevier).
    • IET Image Processing (IET Digital Library).
    • BMC Medical Imaging (Springer Nature).
    • The International Journal of Imaging Systems and Technology (Wiley).
    • Medical Physics (ad-hoc) (American Association of Physicists in Medicine).
  • Journals and Conferences Reviewer (Total Referee > 250)
    • 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 Supervision

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Please visit my Linkedin and Twitter (@gyangMedIA) for the most recent information. Group Page: https://www.yanglab.fyi/. Recent publications at my Google Scholar.




Currently, 4 PDRAs, 7 PhD students, 6 BSc/MEng (UROP) students, 4 MRes students, and co-supervising 7 additional PhD students with other PIs at the CDTs.

Grants

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This section is outdated.

Please visit my Linkedin and Twitter (@gyangMedIA) for the most recent information. Group Page: https://www.yanglab.fyi/. Recent publications at my Google Scholar.




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)

Teaching

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BIOE70074 - MSc Journal Club 2023-2024

BIOE70074 MSc Journal Club Computational stream


BIOE60008/70036 - Image Processing (Spring 2023-2024)