World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5405
World Ranking
13032
National Ranking
833

Overview

Matthew J. Clarkson is affiliated with University College London in the United Kingdom. Their research spans multiple intersecting fields, primarily focusing on computer science, medicine, and engineering. This multidisciplinary approach underpins a substantial body of work across areas related to medical imaging, surgical technologies, and artificial intelligence.

The main fields of study in which they have published include:

  • Computer Science
  • Medicine
  • Engineering

Within these fields, their subfields of focus comprise:

  • Computer Vision and Pattern Recognition
  • Surgery
  • Biomedical Engineering
  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence

Key topics of their research work cover:

  • Surgical Simulation and Training
  • Medical Image Segmentation Techniques
  • Augmented Reality Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Robotics and Sensor-Based Localization
  • Anatomy and Medical Technology
  • 3D Shape Modeling and Analysis

Matthew J. Clarkson has frequently published in venues including:

  • arXiv (Cornell University)
  • International Journal of Computer Assisted Radiology and Surgery
  • Medical Image Analysis
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Medical Imaging

Their recent publications include:

  • Gesture Recognition in Robotic Surgery: A Review (2021), published in IEEE Transactions on Biomedical Engineering
  • Utility of optical see-through head mounted displays in augmented reality-assisted surgery: A systematic review (2022), published in Medical Image Analysis
  • Comparison of manual and semi-automatic registration in augmented reality image-guided liver surgery: a clinical feasibility study (2020), published in Surgical Endoscopy
  • Automatic, global registration in laparoscopic liver surgery (2021), published in International Journal of Computer Assisted Radiology and Surgery
  • DeepReg: a deep learning toolkit for medical image registration (2020), published in The Journal of Open Source Software

Frequent co-authors in their research collaborations include:

  • Yipeng Hu
  • Danail Stoyanov
  • Dean C. Barratt
  • Brian R Davidson
  • Shaheer U. Saeed

Best Publications

  • Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks

    Eli Gibson;Francesco Giganti;Yipeng Hu;Ester Bonmati

  • Head size, age and gender adjustment in MRI studies: a necessary nuisance?

    Josephine Barnes;Gerard R. Ridgway;Gerard R. Ridgway;Jonathan W. Bartlett;Susie M. D. Henley

  • Progressive logopenic/phonological aphasia: erosion of the language network.

    Jonathan D. Rohrer;Gerard R. Ridgway;Sebastian J. Crutch;Julia Hailstone

  • An event-based model for disease progression and its application in familial Alzheimer's disease and Huntington's disease

    Hubert M. J. Fonteijn;Hubert M. J. Fonteijn;Marc Modat;Matthew J. Clarkson;Matthew J. Clarkson;Josephine Barnes

  • Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease

    Kelvin K. Leung;Josephine Barnes;Gerard R. Ridgway;Jonathan W. Bartlett

  • Non-rigid registration using higher-order mutual information

    Daniel Rueckert;Matthew J. Clarkson;Derek L. G. Hill;David John Hawkes

  • A comparison of voxel and surface based cortical thickness estimation methods

    Matthew J. Clarkson;Manuel Jorge Cardoso;Gerard R. Ridgway;Gerard R. Ridgway;Marc Modat

  • Robust atrophy rate measurement in Alzheimer's disease using multi-site serial MRI: tissue-specific intensity normalization and parameter selection.

    Kelvin K. Leung;Matthew J. Clarkson;Jonathan W. Bartlett;Shona Clegg

  • Utility of optical see-through head mounted displays in augmented reality-assisted surgery: A systematic review

    Unknown

  • Gesture Recognition in Robotic Surgery: A Review

    Beatrice van Amsterdam;Matthew J. Clarkson;Danail Stoyanov

  • Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhancing MR Breast Images

    Christine Tanner;Julia A. Schnabel;D. Chung;Matthew J. Clarkson

  • LoAd: A locally adaptive cortical segmentation algorithm

    Manuel Jorge Cardoso;Matthew J. Clarkson;Gerard R. Ridgway;Gerard R. Ridgway;Marc Modat

  • NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics

    Stian Flage Johnsen;Zeike A. Taylor;Matthew J. Clarkson;John H. Hipwell

  • Using photo-consistency to register 2D optical images of the human face to a 3D surface model

    M.J. Clarkson;D. Rueckert;D.L.G. Hill;D.J. Hawkes

  • Generating Large Labeled Data Sets for Laparoscopic Image Processing Tasks Using Unpaired Image-to-Image Translation

    Micha Pfeiffer;Isabel Funke;Maria R. Robu;Sebastian Bodenstedt

  • Comparison of phantom and registration scaling corrections using the ADNI cohort

    Matthew J. Clarkson;Sébastien Ourselin;Casper Nielsen;Kelvin K. Leung

  • Stereo Augmented Reality in the Surgical Microscope

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

  • Towards image-guided pancreas and biliary endoscopy: Automatic multi-organ segmentation on abdominal CT with dense dilated networks

    Eli Gibson;Francesco Giganti;Francesco Giganti;Yipeng Hu;Ester Bonmati

  • Identification and removal of laser-induced noise in photoacoustic imaging using singular value decomposition.

    Emma R. Hill;Wenfeng Xia;Matthew J. Clarkson;Adrien E. Desjardins

  • Comparison of manual and semi-automatic registration in augmented reality image-guided liver surgery: a clinical feasibility study.

    C. Schneider;S. Thompson;J. Totz;Y. Song

  • Global rigid registration of CT to video in laparoscopic liver surgery.

    Maria R. Robu;João Ramalhinho;Stephen A. Thompson;Kurinchi Gurusamy

  • The NifTK software platform for image-guided interventions: platform overview and NiftyLink messaging.

    Matthew J. Clarkson;Gergely Zombori;Steve Thompson;Johannes Totz

  • Hand–eye calibration for rigid laparoscopes using an invariant point

    Stephen A. Thompson;Danail Stoyanov;Crispin Schneider;Kurinchi Gurusamy

Frequent Co-Authors

Sebastien Ourselin
Sebastien Ourselin King's College London
David J. Hawkes
David J. Hawkes University College London
Danail Stoyanov
Danail Stoyanov University College London
Dean C. Barratt
Dean C. Barratt University College London
Marc Modat
Marc Modat King's College London
Josephine Barnes
Josephine Barnes University College London
Jonathan D. Rohrer
Jonathan D. Rohrer University College London
Tom Vercauteren
Tom Vercauteren King's College London
Martin N. Rossor
Martin N. Rossor University College London
Jason D. Warren
Jason D. Warren University College London

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