Chen Chen

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University of Sheffield

United Kingdom

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Recent Grants

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SmartHeart: Next-generation cardiovascular healthcare via integrated image acquisition, reconstruction, analysis and learning

Open Date: 2016-09-30

Close Date: 2022-09-29

Articles (12)

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2025

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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2020

Collaborators (13)

Johannes C. Paetzold

Weill Cornell Medicine

UNITED STATES

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Wenjia Bai

Imperial College London

UNITED KINGDOM

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Hongwei Li

Harvard University

UNITED STATES

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Esther Puyol Anton

King’s College London

UNITED KINGDOM

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Andrew King

King’s College London

UNITED KINGDOM

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Víctor Manuel Campello

Valencian International University

SPAIN

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Chen Qin

Lecturer (eq. Assistant Professor)

Imperial College London

UNITED KINGDOM

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Daniel Rueckert

Director, Alexander von Humboldt Professor for AI

Technical University of Munich

GERMANY

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Kelly Payette

King’s College London

UNITED KINGDOM

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Vicente Grau

University of Oxford

UNITED KINGDOM

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Niccolo McConnell

University College London

UNITED KINGDOM

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Konstantinos Kamnitsas

Associate Professor

University of Oxford

UNITED KINGDOM

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Ben Glocker

Professor in Machine Learning for Imaging

Imperial College London

UNITED KINGDOM

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Chen Chen

Research Interests

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Recent Grants

Articles (12)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results

Large Language Model-Informed ECG Dual Attention Network for Heart Failure Risk Prediction

Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations

Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images

Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation

Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior

Context Label Learning: Improving Background Class Representations in Semantic Segmentation

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge

Enhancing MR image segmentation with realistic adversarial data augmentation

Self-Supervised Learning for Few-Shot Medical Image Segmentation

A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging

Contrast CT classification of asymptomatic and symptomatic carotids in stroke and transient ischaemic attack with deep learning and interpretability

Collaborators (13)

Johannes C. Paetzold

Wenjia Bai

Hongwei Li

Esther Puyol Anton

Andrew King

Víctor Manuel Campello

Chen Qin

Daniel Rueckert

Kelly Payette

Vicente Grau

Niccolo McConnell

Konstantinos Kamnitsas

Ben Glocker

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