World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6064
World Ranking
11187
National Ranking
710

Overview

Dean C. Barratt is affiliated with University College London in the United Kingdom. Their research primarily spans the fields of Medicine, Computer Science, and Engineering.

The scientist has contributed extensively to several subfields of study, including:

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

Their work focuses on key topics such as:

  • Medical Image Segmentation Techniques
  • Prostate Cancer Diagnosis and Treatment
  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging and Analysis
  • Advanced Neural Network Applications
  • AI in cancer detection
  • Photoacoustic and Ultrasonic Imaging

Dean C. Barratt has authored several recent papers, including:

  • Comparison of manual and semi-automatic registration in augmented reality image-guided liver surgery: a clinical feasibility study (2020, Surgical Endoscopy)
  • Interactive 3D U-net for the segmentation of the pancreas in computed tomography scans (2020, Physics in Medicine and Biology)
  • Image quality assessment for machine learning tasks using meta-reinforcement learning (2022, Medical Image Analysis)
  • DeepReg: a deep learning toolkit for medical image registration (2020, The Journal of Open Source Software)
  • Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study (2022, Medical Image Analysis)

The scientist frequently collaborates with a group of co-authors, notable among them are:

  • Yipeng Hu
  • Shaheer U. Saeed
  • Qianye Yang
  • Zachary M. C. Baum
  • Matthew J. Clarkson

Dean C. Barratt's work is published predominantly in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Medical Image Analysis
  • Physics in Medicine and Biology
  • IEEE Transactions on Medical Imaging

Best Publications

  • Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge.

    Geert J. S. Litjens;Robert Toth;Wendy J. M. van de Ven;Caroline Hoeks

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

    Eli Gibson;Francesco Giganti;Yipeng Hu;Ester Bonmati

  • NiftyNet: a deep-learning platform for medical imaging

    Eli Gibson;Wenqi Li;Carole H. Sudre;Lucas Fidon

  • Weakly-supervised convolutional neural networks for multimodal image registration.

    Yipeng Hu;Yipeng Hu;Marc Modat;Eli Gibson;Wenqi Li

  • MR to ultrasound registration for image-guided prostate interventions

    Yipeng Hu;Hashim Uddin Ahmed;Zeike A. Taylor;Clare Allen

  • Instantiation and registration of statistical shape models of the femur and pelvis using 3D ultrasound imaging.

    Dean C. Barratt;Carolyn S.K. Chan;Carolyn S.K. Chan;Philip J. Edwards;Philip J. Edwards;Graeme P. Penney;Graeme P. Penney

  • Application of soft tissue modelling to image-guided surgery.

    Timothy J. Carter;Maxime Sermesant;David M. Cash;Dean C. Barratt

  • Self-calibrating 3D-ultrasound-based bone registration for minimally invasive orthopedic surgery

    D.C. Barratt;G.P. Penney;C.S.K. Chan;M. Slomczykowski

  • Label-driven weakly-supervised learning for multimodal deformarle image registration

    Yipeng Hu;Marc Modat;Eli Gibson;Nooshin Ghavami

  • Apparatus and method for registering two medical images

    Dean Barratt;Yipeng Hu

  • Tissue deformation and shape models in image-guided interventions: a discussion paper.

    David J. Hawkes;Dean C. Barratt;Jane M. Blackall;Carolyn S. K. Chan

  • The SmartTarget Biopsy Trial: A Prospective, Within-person Randomised, Blinded Trial Comparing the Accuracy of Visual-registration and Magnetic Resonance Imaging/Ultrasound Image-fusion Targeted Biopsies for Prostate Cancer Risk Stratification.

    Sami Hamid;Sami Hamid;Ian A. Donaldson;Ian A. Donaldson;Yipeng Hu;Rachael Rodell

  • The Accuracy of Different Biopsy Strategies for the Detection of Clinically Important Prostate Cancer: A Computer Simulation

    Emilie Lecornet;Hashim Uddin Ahmed;Hashim Uddin Ahmed;Yipeng Hu;Caroline M. Moore;Caroline M. Moore

  • A Nonlinear Biomechanical Model Based Registration Method for Aligning Prone and Supine MR Breast Images

    Lianghao Han;John H. Hipwell;Bjorn Eiben;Dean Barratt

  • Accuracy and reproducibility of CFD predicted wall shear stress using 3D ultrasound images

    A. D. Augst;D. C. Barratt;A. D. Hughes;F. P. Glor

  • Cadaver validation of intensity-based ultrasound to CT registration

    Graeme P. Penney;Graeme P. Penney;Dean C. Barratt;Dean C. Barratt;Carolyn S. K. Chan;Mike Slomczykowski

  • Image-based carotid flow reconstruction: a comparison between MRI and ultrasound

    F P Glor;B Ariff;A D Hughes;L A Crowe

  • Optimisation and evaluation of an electromagnetic tracking device for high-accuracy three-dimensional ultrasound imaging of the carotid arteries.

    Dean C. Barratt;Alun H. Davies;Alun D. Hughes;Simon A. Thom

  • MR Navigated Breast Surgery: Method and Initial Clinical Experience

    Timothy Carter;Christine Tanner;Nicolas Beechey-Newman;Dean Barratt

  • Adversarial deformation regularization for training image registration neural networks

    Yipeng Hu;Eli Gibson;Nooshin Ghavami;Ester Bonmati

  • Modelling Prostate Motion for Data Fusion During Image-Guided Interventions

    Yipeng Hu;T. J. Carter;H. U. Ahmed;M. Emberton

  • Prostate Cancer Risk Inflation as a Consequence of Image-targeted Biopsy of the Prostate: A Computer Simulation Study

    Nicola L. Robertson;Yipeng Hu;Hashim U. Ahmed;Alex Freeman

  • Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration.

    Nooshin Ghavami;Yipeng Hu;Eli Gibson;Ester Bonmati

  • Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning

    Eli Gibson;Yipeng Hu;Nooshin Ghavami;Hashim Uddin Ahmed

  • Cadaver Validation of the Use of Ultrasound for 3D Model Instantiation of Bony Anatomy in Image Guided Orthopaedic Surgery

    Carolyn S. K. Chan;Dean C. Barratt;Philip J. Edwards;Philip J. Edwards;Graeme P. Penney

  • Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks

    Yipeng Hu;Eli Gibson;Li-Lin Lee;Weidi Xie

Frequent Co-Authors

David J. Hawkes
David J. Hawkes University College London
Tom Vercauteren
Tom Vercauteren King's College London
Graeme P. Penney
Graeme P. Penney King's College London
Matthew J. Clarkson
Matthew J. Clarkson University College London
J. Alison Noble
J. Alison Noble University of Oxford
Anant Madabhushi
Anant Madabhushi Emory University
Marc Modat
Marc Modat King's College London
Stéphane Cotin
Stéphane Cotin French Institute for Research in Computer Science and Automation - INRIA
Gabor Fichtinger
Gabor Fichtinger Queen's University
Claudia A. M. Wheeler-Kingshott
Claudia A. M. Wheeler-Kingshott University College London

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