Andrew Reader

Andrew Reader

King's College

H-index: 39

North America-United States

About Andrew Reader

Andrew Reader, With an exceptional h-index of 39 and a recent h-index of 23 (since 2020), a distinguished researcher at King's College, specializes in the field of Image Reconstruction, AI, Deep Learning, Machine Learning, PET Imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

Non‐rigid motion‐compensated 3D whole‐heart T2 mapping in a hybrid 3T PET‐MR system

Improvements in longitudinal phase space tomography at PITZ

Deep learned triple-tracer multiplexed PET myocardial image separation

Self-supervised and supervised deep learning for PET image reconstruction

Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling

Deep learning-based PET image denoising and reconstruction: a review

Deep Learned Segmentations of Inflammation for Novel ⁹⁹mTc-maraciclatide Imaging of Rheumatoid Arthritis

AI for PET image reconstruction

Andrew Reader Information

University

Position

Professor

Citations(all)

5758

Citations(since 2020)

1918

Cited By

4538

hIndex(all)

39

hIndex(since 2020)

23

i10Index(all)

105

i10Index(since 2020)

53

Email

University Profile Page

King's College

Google Scholar

View Google Scholar Profile

Andrew Reader Skills & Research Interests

Image Reconstruction

AI

Deep Learning

Machine Learning

PET Imaging

Top articles of Andrew Reader

Title

Journal

Author(s)

Publication Date

Non‐rigid motion‐compensated 3D whole‐heart T2 mapping in a hybrid 3T PET‐MR system

Magnetic Resonance in Medicine

Alina Schneider

Camila Munoz

Alina Hua

Sam Ellis

Sami Jeljeli

...

2024/1/5

Improvements in longitudinal phase space tomography at PITZ

Journal of Physics: Conference Series

Namra Aftab

P Boonpornprasert

G Georgiev

J Good

M Gross

...

2024

Deep learned triple-tracer multiplexed PET myocardial image separation

Frontiers in Nuclear Medicine

Bolin Pan

Paul K Marsden

Andrew J Reader

2024/4/11

Self-supervised and supervised deep learning for PET image reconstruction

AIP Conference Proceedings

Andrew J Reader

2024/3/15

Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling

arXiv preprint arXiv:2403.07818

Iman Islam

Esther Puyol-Antón

Bram Ruijsink

Andrew J Reader

Andrew P King

2024/3/12

Deep learning-based PET image denoising and reconstruction: a review

Fumio Hashimoto

Yuya Onishi

Kibo Ote

Hideaki Tashima

Andrew J Reader

...

2024/2/6

Deep Learned Segmentations of Inflammation for Novel ⁹⁹mTc-maraciclatide Imaging of Rheumatoid Arthritis

Diagnostics

Robert Cobb

Gary JR Cook

Andrew J Reader

2023/10/24

AI for PET image reconstruction

Andrew J Reader

Bolin Pan

2023/10/1

Single-modality supervised joint PET-MR image reconstruction

IEEE Transactions on Radiation and Plasma Medical Sciences

Guillaume Corda-D’Incan

Julia A Schnabel

Alexander Hammers

Andrew J Reader

2023/6/7

Kinetic Model-Informed Deep Learning for Multiplexed PET Image Separation

Bolin Pan

Paul Marsden

AJ Reader

2023/11/4

Dual-Tracer PET image separation by deep learning: A simulation study

Applied Sciences

Bolin Pan

Paul K Marsden

Andrew J Reader

2023/3/23

Comparison of U-Net and Transformer Based Swin-Unet Architectures for Segmenting Inflammation in Gamma Camera 99mTc-Maraciclatide Imaging

RB Cobb

G Cook

AJ Reader

2023/11/4

Synthesised Image Reconstruction for Post-Reconstruction Resolution Recovery

IEEE Transactions on Radiation and Plasma Medical Sciences

Laurence Vass

Andrew J Reader

2023/2/22

Direct Deep-Learned Kinetic Parametric Map Separation for Multiplexed PET

Bolin Pan

Paul Marsden

AJ Reader

2023/11/4

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

IEEE Transactions on Radiation and Plasma Medical Sciences

Joshua Moo

Paul K Marsden

Kunal Vyas

Andrew J Reader

2022/9/27

Pre-training, transfer learning and pretext learning for a convolutional neural network applied to automated assessment of clinical PET image quality

IEEE transactions on radiation and plasma medical sciences

Jessica B Hopson

Radhouene Neji

Joel T Dunn

Colm J McGinnity

Anthime Flaus

...

2022/12/23

Image reconstruction

2022/6/2

Single-Shot Generative Modelling for 99mTc-Maraciclatide Imaging

Robert Cobb

Gary JR Cook

Toby Garrood

Andrew J Reader

2022/11/5

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

Medical physics

Pawel J Markiewicz

Casper da Costa‐Luis

J Dickson

A Barnes

Georgios Krokos

...

2022/5

Self-Supervised Reference-Free Penalty Selection for Regularised PET Image Reconstruction

Sam Ellis

Andrew J Reader

2022/11/5

See List of Professors in Andrew Reader University(King's College)