World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5966
World Ranking
10256
National Ranking
644

Overview

Andrew P. King is affiliated with King's College London in the United Kingdom. Their research predominantly spans the field of Medicine, with significant contributions in related subfields such as Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Artificial Intelligence, Biomedical Engineering, and Pulmonary and Respiratory Medicine.

Their scholarly output includes research on multiple topics within medical imaging and cardiovascular science. Major topics of their work include:

  • Cardiac Imaging and Diagnostics
  • Radiomics and Machine Learning in Medical Imaging
  • Cardiovascular Function and Risk Factors
  • Advanced MRI Techniques and Applications
  • Medical Imaging Techniques and Applications
  • Artificial Intelligence in Healthcare and Education
  • Head and Neck Cancer Studies

Andrew P. King has coauthored extensively with several researchers, including Esther Puyol-Antón, Bram Ruijsink, Reza Razavi, Teresa Guerrero Urbano, and Paul Aljabar.

Their recent papers demonstrate a focus on deep learning applications, cardiovascular imaging, and computational methods related to medical physics. Selected recent publications include:

  • "A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-Based Segmentation," 2022, Frontiers in Cardiovascular Medicine
  • "Active training of physics-informed neural networks to aggregate and interpolate parametric solutions to the Navier-Stokes equations," 2021, Journal of Computational Physics
  • "A multi-scale variational neural network for accelerating motion-compensated whole-heart 3D coronary MR angiography," 2020, Magnetic Resonance Imaging
  • "Environmental and genetic predictors of human cardiovascular ageing," 2023, Nature Communications

Frequent publication venues where this researcher contributes include arXiv (Cornell University), Radiotherapy and Oncology, European Heart Journal, Lecture Notes in Computer Science, and bioRxiv (Cold Spring Harbor Laboratory).

Best Publications

  • Respiratory motion models: a review.

    Jamie McClelland;David J. Hawkes;Tobias Schaeffter;Tobias Schaeffter;Andrew P. King;Andrew P. King

  • Semi-supervised learning for network-based cardiac MR image segmentation

    Wenjia Bai;Ozan Oktay;Matthew Sinclair;Hideaki Suzuki

  • Design and evaluation of a system for microscope-assisted guided interventions (MAGI)

    P.J. Edwards;A.P. King;C.R. Maurer;D.A. De Cunha

  • A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology.

    James Clough;Nicholas Byrne;Ilkay Oksuz;Veronika A. Zimmer

  • Fully Automated, Quality-Controlled Cardiac Analysis From CMR: Validation and Large-Scale Application to Characterize Cardiac Function.

    Bram Ruijsink;Bram Ruijsink;Esther Puyol-Antón;Ilkay Oksuz;Matthew Sinclair

  • Left-Ventricle Quantification Using Residual U-Net

    Eric Kerfoot;James R. Clough;Ilkay Öksüz;Jack Lee

  • Thoracic respiratory motion estimation from MRI using a statistical model and a 2-D image navigator.

    Andrew P. King;Christian Buerger;Christian Buerger;Charalampos Tsoumpas;Charalampos Tsoumpas;Paul K. Marsden;Paul K. Marsden

  • Alignment of sparse freehand 3-D ultrasound with preoperative images of the liver using models of respiratory motion and deformation

    J.M. Blackall;G.P. Penney;A.P. King;D.J. Hawkes

  • Hierarchical adaptive local affine registration for fast and robust respiratory motion estimation.

    Christian Buerger;Tobias Schaeffter;Andrew P. King

  • Fast generation of 4D PET-MR data from real dynamic MR acquisitions

    Charalampos Tsoumpas;Christian Buerger;Andrew King;P. Mollet

  • A subject-specific technique for respiratory motion correction in image-guided cardiac catheterisation procedures

    Andrew P. King;Andrew P. King;Redha Boubertakh;Redha Boubertakh;Kawal S. Rhode;Kawal S. Rhode;YingLiang Ma;YingLiang Ma

  • Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.

    Ilkay Öksüz;Bram Ruijsink;Esther Puyol-Antón;James R. Clough

  • Estimation of passive and active properties in the human heart using 3D tagged MRI

    Liya Asner;Myrianthi Hadjicharalambous;Radomir Chabiniok;Devis Peresutti

  • Simultaneous PET-MR acquisition and MR-derived motion fields for correction of non-rigid motion in PET.

    Charalampos Tsoumpas;Jane E. Mackewn;Philip Halsted;Andrew P. King

  • Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation.

    Esther Puyol-Antón;Bram Ruijsink;Stefan K. Piechnik;Stefan Neubauer

  • A system for microscope-assisted guided interventions.

    A.P. King;P.J. Edwards;C.R. Maurer;D.A. de Cunha

  • Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation

    Ilkay Oksuz;James R. Clough;Bram Ruijsink;Esther Puyol Anton

  • Nonrigid Motion Modeling of the Liver From 3-D Undersampled Self-Gated Golden-Radial Phase Encoded MRI

    C. Buerger;R. E. Clough;A. P. King;T. Schaeffter

  • A Stochastic Iterative Closest Point Algorithm (stochastICP)

    Graeme P. Penney;Philip J. Edwards;Andrew P. King;Jane M. Blackall

  • Stereo Augmented Reality in the Surgical Microscope

    A. P. King;P. J. Edwards;C. R. Maurer;D. A. de Cunha

  • Information Processing in Medical Imaging (IPMI)

    Christian Baumgartner;Christoph Kolbitsch;Jamie McClelland;Daniel Rueckert

  • Design and Evaluation of a System for Microscope-Assisted Guided Interventions (MAGI)

    Philip J. Edwards;Andrew P. King;Calvin R. Maurer;Darryl A. de Cunha

Frequent Co-Authors

Daniel Rueckert
Daniel Rueckert Technical University of Munich
Julia A. Schnabel
Julia A. Schnabel King's College London
Kawal Rhode
Kawal Rhode King's College London
Graeme P. Penney
Graeme P. Penney King's College London
Claudia Prieto
Claudia Prieto Pontificia Universidad Católica de Chile
David J. Hawkes
David J. Hawkes University College London
Wenjia Bai
Wenjia Bai Imperial College London
Paul Aljabar
Paul Aljabar King's College London
Derek L. G. Hill
Derek L. G. Hill Panoramic Digital Health
Marc Pollefeys
Marc Pollefeys ETH Zurich

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