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

RBHT_Showcase_Poster_GY_2019

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

More Info
UCL_CMIC_LHA_Presentation_GY_07_April_2020

Research Keywords

Learning is the key ...

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

More Info

Team

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

Guang Yang

Guang Yang 🇨🇳

⏣ Ph.D, MS.c,
IEEE Senior Member,
ISMRM, SCMR, BMVC, SPIE & MICCAI Member

⎈ Head of the AYL

⎈ UKRI Future Leaders Fellow,
National Heart and Lung Institute, Imperial College London

⎈ Honorary Senior Lecturer,
School of Biomedical Engineering & Imaging Sciences,
King's College London

⎈ Senior MRI Processing Physicist,
Cardiovascular Research Centre, Royal Brompton Hospital


Fast MRI
Deep Learning
Machine Learning
Federated Learning
Pattern Recognition
Medical Image Analysis
Explainable and Trustworthy AI
placeholder user

Yang Nan 🇨🇳 ⚦

⎈ PhD Student,
National Heart and Lung Institute, Imperial College London

⎈ Research Assistant,
National Heart and Lung Institute, Imperial College London

 2021-now


Data Harmonisation
Unsupervised Segmentation

placeholder user

Ming Li 🇨🇳 ⚦

⎈ PhD Student,
National Heart and Lung Institute, Imperial College London

⎈ Research Assistant,
National Heart and Lung Institute, Imperial College London

 2021-now


Federated Learning
Explainable and Trustyworthy AI

placeholder user

Xiaodan Xing 🇨🇳 ♀︎

⎈ PhD Student,
National Heart and Lung Institute, Imperial College London

⎈ Research Assistant,
National Heart and Lung Institute, Imperial College London

 2021-now


Data Synthesis
Privacy-preserved Learning

placeholder user

Jiahao Huang 🇨🇳 ⚦

⎈ PhD Student,
National Heart and Lung Institute, Imperial College London

 2021-now


Fast MRI
MRI Reconstruction
Generative Adversarial Networks

placeholder user

Michael Tanzer 🇮🇹 ⚦

⎈ PhD Student,
AI4Health CDT,
National Heart and Lung Institute, Imperial College London

 2020-now


Fast MRI
MRI Reconstruction
Diffusion Tensor Cardiac MRI

placeholder user

Ke Wen 🇨🇳 ♀︎

⎈ PhD Student,
KCL-Imperial College Smart Medical Imaging CDT,
National Heart and Lung Institute, Imperial College London

 2021-now


MRI Reconstruction
Diffusion Tensor Cardiac MRI

placeholder user

Yaqing Luo 🇨🇳 ♀︎

⎈ PhD Student,
KCL-Imperial College Smart Medical Imaging CDT,
National Heart and Lung Institute, Imperial College London

 2021-now


MRI Reconstruction
Diffusion Tensor Cardiac MRI

placeholder user

Yingying Fang 🇨🇳 ♀︎

⎈ Postdoc Research Associate,
National Heart and Lung Institute, Imperial College London

 2021-now


Inverse Problems
Multifactorial Analysis
Diagnostic and Prognostic Models 

placeholder user

Yinzhe Wu 🇨🇳 ⚦

⎈ MEng/UROP Student,
Bioengineering Department &
National Heart and Lung Institute, Imperial College London

 2019-now


Vecocity Mapping MRI
Cardiac MRI Segmentation

placeholder user

Yutong Chen 🇨🇳 ⚦

⎈ UROP Student,
Faculty of Biology,
Cambridge University

 2019-now


Fast MRI
MRI Reconstruction

placeholder user

Zeyu Tang 🇨🇳 ⚦

⎈ UROP Student,
Bioengineering Department &
National Heart and Lung Institute, Imperial College London

 2021-now


Vecocity Mapping MRI
Cardiac MRI Segmentation

placeholder user

Michael Yeung 🇬🇧 ⚦

⎈ UROP Student,
Department of Radiology,
Cambridge University

 2021-now


Biomedical Image Segmentation

YY

April Wu 🇨🇳 ♀︎

⎈ UROP Student,
Bioengineering Department &
National Heart and Lung Institute, Imperial College London

 2021-now


Fast MRI
MRI Reconstruction

Avatar_ML

Weixun Luo 🇨🇳 ⚦

⎈ UROP Student,
Bioengineering Department &
National Heart and Lung Institute, Imperial College London

 2021-now


Denoising
Super-Resolution

JH_MRes

Jonathan Hewlett 
🇬🇧 ⚦

⎈ MRes Student,
Department of Computing,
Imperial College London
 
2021-now


GAN Based Fast DT-CMR

CO

Chibudom Onuorah 🇬🇧 ♀︎

⎈ MRes Student,
Department of Computing,
Imperial College London
 
2021-now


Long/Short-term COVID Prognosis

Collaborators

We are standing on the shoulders of giants
cmih white
Radiomics
MC2
QUIBIM
Thirona
CDISC
GE
Siemens_Healthineers_logo

Call for Collaborations

We are always looking for collaborators to work together on UKRI Networking grant, ERC Horizon Europe grant,
National Natural Science Foundation of China international programme grant and other collaborative grant proposals. 

Projects

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

placeholder image
  • ERC H2020 Funded Project
    H2020-SC1-FA-DTS-2019-1 952172

  • Cancer Imaging

  • Artificial Intelligence

  • Decentralised Data Lake

    Total Awards: €8,784,038.75

    Awards to Imperial College London: €508,951.25

    2020-2024

    PI: Dr. Guang Yang

placeholder image
  • UKRI Funded Future Leaders Fellowship
    MR/V023799/1

  • Smart Imaging

  • Super-Resolution

  • Multimodal Data Analysis

    Cardiac MRI

    Total Awards (fEC): £1,707,214.21

    2021-2025

    PI: Dr. Guang Yang

placeholder image
  • IMI Funded Project
    H2020-JTI-IMI2
    101005122

  • COVID-19 Research

  • Data Harmonisation

  • Federated Learning

    Total Awards: €11,381,970.00

    Awards to Imperial College London (fEC): £1,156,258.91

    2020-2023

    PI: Dr. Guang Yang

BHF_Logo_Lockup_Vertical_BHF_Red_RGB@4x
  • BHF Funded Project
    PG/16/78/32402

    LGE MRI

  • Segmentation

  • Domain Adaptation

  • GAN Based Reconstruction

    Total Awards (fEC): £356,950.61

    2017-2020

    Co-PI: Dr. Guang Yang

SABER
  • Boehringer Ingelheim Funded Project

    Data Synthesis

  • COVID-19 Research

  • Prognosis Prediction

  • Multifactorial Analysis

    Total Awards (fEC): £1,339,284.44

    2021-2023

    Co-PI: Dr. Guang Yang

BHF_Logo_Lockup_Vertical_BHF_Red_RGB@4x
  • BHF Funded Project
    TG/18/5/34111

    Synthesis

  • Segmentation

  • Fast Imaging

  • Velocity Mapping

    Awards: £27,617

    2021-2022

    Co-PI: Dr. Guang Yang

MRC
  • Multicentre Validation

  • Detection/Classification

  • LGE CMR Data Analysis

  • Total Awards (fEC): £53,718.00

    2021-2022

    PI: Dr. Guang Yang

Nvidia
  • Data Harmonisation

  • Whole Heart Segmentation

  • Motion Abnormality Detection

  • Total Awards: £7,416.13

    2016, 2017, 2021

    PI: Dr. Guang Yang

Highlights

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

watch screen

Hiring

We are always looking for good colleagues.

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

New Opening: Research Associate (Closing date 23 November 2021)

More Info

£5M+

Funding Awards

10+

Team Members

25+

GPUs

150+

Publications

27

H-Index

4000+

Google Citations

Publications

"Publish or perish"

Funders

"I am always ready to learn although I do not always like being taught." – Winston Churchill
UKRI
facebook
stripe
yahoo
BHF_Logo_Lockup_Vertical_BHF_Red_RGB@4x
IIAT
Boehringer_Ingelheim_Logo
Animal_Free
MRC2
Nvidia2
MSIT
NRF

Development

GithubiOS

Follow Us

TwitterLinkedIn

Connect