Mission

The AYL (A Yang Lab) at Imperial College London is led by Dr Guang Yang, and focuses on the development of artificial intelligence (AI) powered applications for biomedicine, including Smart Imaging, Omics Analysis and AI in Drug Discovery.


News

"Our major obligation is not to mistake slogans for solutions." — Edward R. Murrow

26th UK Conference on Medical Image Understanding and Analysis

Please join us for MIUA’22 @Cambridge

Showcases

"The true sign of intelligence is not knowledge but imagination.” — Albert Einstein

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Deep Learning for Detection of Myocardial Scar Tissue

Goodbye to Gadolinium?

"This study is another important step toward gadolinium-based contrast agent–free cardiac imaging and complements other native techniques such as T1- and T1-rho mapping, feature tracking, and the recently described, highly interesting approach by Baessler et al who studied the ability of texture analysis or radiomics to detect the presence and extent of left ventricle myocardial scar tissue from a single end-diastolic cine imaging frame. It is likely that a combination of both methods—deep learning analysis of cardiac motion as described in the present study as well as analysis of subtle differences in left ventricle myocardial texture—can lead to even better results on a patient level. The authors are also to be commended for making their source code freely available for other investigators.” — by Prof. Tim Leiner

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Research Keywords

Learning is the key ...

I am always looking for collaborators, good students and brilliant ideas!

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Team

"Coming together is a beginning, staying together is progress, and working together is a success." — Henry Ford

Guang Yang

Dr Guang Yang

Head of the Lab
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Yang Nan

PhD Student & RA
2021-now

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Ming Li

PhD Student & RA
2021-now

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Xiaodan Xing

PhD Student & RA
2021-now

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Jiahao Huang

PhD Student
2021-now

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Michael Tanzer

PhD Student
2020-now

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Ke Wen

PhD Student
2021-now

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Yaqing Luo

PhD Student
2021-now

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Dr Yingying Fang

PDRA
2021-now

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Yinzhe Wu

MEng Student
2019-now

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Yutong Chen

UROP Student
2019-now

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Zeyu Tang

UROP Student
2021-now

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Michael Yeung

UROP Student
2021-now

Projects

"If you don't know where you are going. How can you expect to get there?" — Basil S. Walsh

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  • ERC H2020 Funded Project

  • Cancer Imaging

  • Artificial Intelligence

  • Decentralised Data Lake

    Total Awards: €8,784,038.75
    Awards to Imperial College London: €508,951.25
    PI: Dr. Guang Yang

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  • UKRI Funded Project

  • Smart Imaging

  • Super-Resolution

  • Multimodal Data Analysis

    Cardiac MRI

    Awards: £1,471,434
    PI: Dr. Guang Yang

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  • IMI Funded Project

  • COVID-19 Research

  • Data Harmonisation

  • Federated Learning

    Total Awards: €11,381,970.00
    Awards to Imperial College London: €977,778.75
    PI: Dr. Guang Yang

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  • LGE MRI

  • Segmentation

  • Domain Adaptation

  • GAN Based Reconstruction

    Awards: £236,276
    Co-PI: Dr. Guang Yang

SABER
  • COVID-19 Research

  • Prognosis Prediction

  • Multifactorial Analysis

  • Data Synthesis

    Awards: Confidential
    Co-PI: Dr. Guang Yang

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  • Velocity Mapping

  • Segmentation

  • Synthesis

  • Fast Imaging

    Awards: £27,617
    Co-PI: Dr. Guang Yang

Highlights

"Coming together is a beginning, staying together is progress, and working together is a success." — Henry Ford

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Hiring

We are always looking for good colleagues.

If you are interested in medical data analysis, digital healthcare, AI applications please talk to us.

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£4M+

Funding Awards

10+

Team Members

25+

GPUs

130+

Publications

26

H-Index

3000+

Google Citations

Publications

"Publish or perish"

Funders

"I am always ready to learn although I do not always like being taught." – Winston Churchill
UKRI
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