Andrew Reader

King’s College London

United Kingdom

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Articles (20)

Clinical and Deep-Learned Evaluation of MR-Guided Self-Supervised PET Reconstruction

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Year:

2025

Likelihood-Scheduled Score-Based Generative Modeling for Fully 3D PET Image Reconstruction

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Year:

2025

Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction

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Year:

2025

Self-supervised parametric map estimation for multiplexed PET with a deep image prior

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Year:

2025

Kinetic model-informed deep learning for multiplexed PET image separation

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Year:

2024

Deep learned triple-tracer multiplexed PET myocardial image separation

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Year:

2024

Diffusion models for medical image reconstruction

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Year:

2024

Deep Convolutional Backbone Comparison for Automated PET Image Quality Assessment

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Year:

2024

Non-rigid Motion-compensated 3D Whole-heart T2 mapping in a hybrid 3T PET-MR system

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Year:

2024

AI for PET image reconstruction

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Year:

2023

AI for PET image reconstruction

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Year:

2023

Synthesized Image Reconstruction for Post-Reconstruction Resolution Recovery

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Year:

2023

Pre-Training, Transfer Learning and Pretext Learning for a Convolutional Neural Network Applied to Automated Assessment of Clinical PET Image Quality

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Year:

2023

Real-Time Deep-Learned Reconstruction for a Scanning Intraoperative Probe

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Year:

2023

Single-Modality Supervised Joint PET-MR Image Reconstruction

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Year:

2023

Dual-Tracer PET Image Separation by Deep Learning: A Simulation Study

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Year:

2023

Advanced quantitative evaluation of PET systems using the ACR phantom and NiftyPET software

Article Link

Year:

2022

Memory-Efficient Training for Fully Unrolled Deep Learned PET Image Reconstruction With Iteration-Dependent Targets

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Year:

2022

Deep Learning Signal Discrimination for Improved Sensitivity at High Specificity for CMOS Intraoperative Probes

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Year:

2022

Artificial intelligence for PET image reconstruction

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Year:

2021

Collaborators (16)

Yuya Mizuno

King's College London

UNITED KINGDOM

Georgios Krokos

King’s College London

UNITED KINGDOM

anna barnes

King's College London

UNITED KINGDOM

Colm McGinnity

King’s College London

UNITED KINGDOM

Julia Anne Schnabel

King’s College London

UNITED KINGDOM

Radhouene Neji

Senior Lecturer in MR Physics and Computing

King's College London

UNITED KINGDOM

Andrew King

King’s College London

UNITED KINGDOM

Eliana Reyes

King’s College London

UNITED KINGDOM

Alexander Hammers

King’s College London

UNITED KINGDOM

Joel Dunn

King’s College London

UNITED KINGDOM

Georg Schramm

Professor at KU Leuven

KU Leuven

BELGIUM

Kunal Vyas

Head of Research

UNITED KINGDOM

Pawel J. Markiewicz

Senior Lecturer

London South Bank University

UNITED KINGDOM

Paul Marsden

Professor

King's College London

UNITED KINGDOM

Julian Matthews

The University of Manchester

UNITED KINGDOM

Karl Herholz

University of Sheffield

UNITED KINGDOM

Andrew Reader

Research Interests

Explore related searches

Contact this professor

Articles (20)

Clinical and Deep-Learned Evaluation of MR-Guided Self-Supervised PET Reconstruction

Likelihood-Scheduled Score-Based Generative Modeling for Fully 3D PET Image Reconstruction

Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction

Self-supervised parametric map estimation for multiplexed PET with a deep image prior

Kinetic model-informed deep learning for multiplexed PET image separation

Deep learned triple-tracer multiplexed PET myocardial image separation

Diffusion models for medical image reconstruction

Deep Convolutional Backbone Comparison for Automated PET Image Quality Assessment

Non-rigid Motion-compensated 3D Whole-heart T2 mapping in a hybrid 3T PET-MR system

AI for PET image reconstruction

AI for PET image reconstruction

Synthesized Image Reconstruction for Post-Reconstruction Resolution Recovery

Pre-Training, Transfer Learning and Pretext Learning for a Convolutional Neural Network Applied to Automated Assessment of Clinical PET Image Quality

Real-Time Deep-Learned Reconstruction for a Scanning Intraoperative Probe

Single-Modality Supervised Joint PET-MR Image Reconstruction

Dual-Tracer PET Image Separation by Deep Learning: A Simulation Study

Advanced quantitative evaluation of PET systems using the ACR phantom and NiftyPET software

Memory-Efficient Training for Fully Unrolled Deep Learned PET Image Reconstruction With Iteration-Dependent Targets

Deep Learning Signal Discrimination for Improved Sensitivity at High Specificity for CMOS Intraoperative Probes

Artificial intelligence for PET image reconstruction

Collaborators (16)

Yuya Mizuno

Georgios Krokos

anna barnes

Colm McGinnity

Julia Anne Schnabel

Radhouene Neji

Andrew King

Eliana Reyes

Alexander Hammers

Joel Dunn

Georg Schramm

Kunal Vyas

Pawel J. Markiewicz

Paul Marsden

Julian Matthews

Karl Herholz

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