David J. Hawkes

David J. Hawkes, Danail Stoyanov, John H. Hipwell, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Integrating structural and diffusion MR information for optic radiation localisation in focal epilepsy patients

Sébastien Ourselin, Marc Modat, David J. Hawkes, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A hybrid biomechanical model-based image registration method for sliding objects

David J. Hawkes, Lianghao Han, Dean C. Barratt, 2014, Medical Imaging.

Pulmonary Lobe Segmentation With Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior

David J. Hawkes, Joseph Jacob, Jamie R. McClelland, 2017, IEEE Transactions on Medical Imaging.

Reconstruction of a 3D surface from video that is robust to missing data and outliers: Application to minimally invasive surgery using stereo and mono endoscopes

Michael Figl, Daniel Rueckert, Fernando Bello, 2012, Medical Image Anal..

Computer-assisted polyp matching between optical colonoscopy and CT colonography: a phantom study

David J. Hawkes, Holger Roth, Emma Helbren, 2014, Medical Imaging.

Clinical application of a surgical navigation system based on virtual laparoscopy in laparoscopic gastrectomy for gastric cancer

David J. Hawkes, Yuichiro Hayashi, Masahiro Oda, 2016, International Journal of Computer Assisted Radiology and Surgery.

Cadaver validation of intensity-based ultrasound to CT registration

David J. Hawkes, Graeme P. Penney, Dean C. Barratt, 2006, Medical Image Anal..

Model-based blood flow quantification from rotational angiography

David J. Hawkes, Dean C. Barratt, Jörg Bredno, 2008, Medical Image Anal..

A Novel Algorithm for Heart Motion Analysis Based on Geometric Constraints

Michael Figl, Daniel Rueckert, David J. Hawkes, 2008, MICCAI.

A three-component deformation model for image-guided surgery

David J. Hawkes, Derek L. G. Hill, Philip J. Edwards, 1998, Medical Image Anal..

Motion modelling and motion compensated reconstruction of tumours in cone-beam computed tomography

Sébastien Ourselin, David J. Hawkes, James Martin, 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis.

Deformations Incorporating Rigid Structures

David J. Hawkes, Derek L. G. Hill, John A. Little, 1996, Comput. Vis. Image Underst..

Medical image registration using knowledge of adjacency of anatomical structures

David J. Hawkes, Derek L. G. Hill, 1994, Image Vis. Comput..

Image Based Surgical Instrument Pose Estimation with Multi-class Labelling and Optical Flow

Sébastien Ourselin, David J. Hawkes, Danail Stoyanov, 2015, MICCAI.

A novel framework for multi-modal intensity-based similarity measures based on internal similarity

David J. Hawkes, Graeme P. Penney, Andrew P. King, 2008, SPIE Medical Imaging.

Half Fourier Acquisition Applied to Time Series Analysis of Contrast Agent Uptake

David J. Hawkes, Christine Tanner, Carmel Hayes, 2001, MICCAI.

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

David J. Hawkes, Graeme P. Penney, Dean C. Barratt, 2008, Medical Image Anal..

Fast Semi-dense Surface Reconstruction from Stereoscopic Video in Laparoscopic Surgery

David J. Hawkes, Danail Stoyanov, Kurinchi Gurusamy, 2014, IPCAI.

MRI Guided Intranasal Flexible Micro-Endoscopy

David J. Hawkes, Derek L. G. Hill, Michael J. Gleeson, 1996, VBC.

Medical imaging at Guy's Hospital, King's College London

David J. Hawkes, Derek L. G. Hill, D. Hill, 2003, IEEE Transactions on Medical Imaging.

Andrew Melbourne, David J. Hawkes, Gerard R. Ridgway, 2010, Medical Imaging.

A Framework for Image-Guided Breast Surgery

David J. Hawkes, Christine Tanner, William R. Crum, 2006, MIAR.

Diffeomorphic demons using normalized mutual information, evaluation on multimodal brain MR images

Sébastien Ourselin, Marc Modat, Nick C. Fox, 2010, Medical Imaging.

Anisotropic behaviour of breast tissue for large compressions

David J. Hawkes, Christine Tanner, Margaret A. Hall-Craggs, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Deformable Vessel-Based Registration Using Landmark-Guided Coherent Point Drift

David J. Hawkes, Dean C. Barratt, Yipeng Hu, 2010, MIAR.

Simulation of long-Cine CT based Internal Target Volume (ITV) coverage of lung tumours at the end of radical radiotherapy with and without gated delivery

David J. Hawkes, Jamie R. McClelland, Stephen W. Hughes, 2010 .

Image guidance for robotic minimally invasive coronary artery bypass

Michael Figl, Daniel Rueckert, Fernando Bello, 2010, Comput. Medical Imaging Graph..

Modelling Vascularity in Breast Cancer and Surrounding Stroma Using Diffusion MRI and Intravoxel Incoherent Motion

David J. Hawkes, John H. Hipwell, Andrew Evans, 2014, Digital Mammography / IWDM.

Robust registration between cardiac MRI images and atlas for segmentation propagation

David Atkinson, Xiahai Zhuang, David J. Hawkes, 2008, SPIE Medical Imaging.

Validation of nonrigid image registration using finite-element methods: application to breast MR images

David J. Hawkes, Derek L. G. Hill, Martin O. Leach, 2003, IEEE Transactions on Medical Imaging.

Classification of breast cancer stroma as a tool for prognosis

David J. Hawkes, John H. Hipwell, Thomy Mertzanidou, 2016, SPIE Medical Imaging.

Breast MRI segmentation for density estimation: Do different methods give the same results and how much do differences matter?

Martin O. Leach, David J. Hawkes, John H. Hipwell, 2017, Medical physics.

Correction of misaligned slices in multi-slice MR cardiac examinations by using slice-to-volume registration

David J. Hawkes, Reza Razavi, Derek L. G. Hill, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Improved Modelling of Tool Tracking Errors by Modelling Dependent Marker Errors

David J. Hawkes, Graeme P. Penney, Prokar Dasgupta, 2013, IEEE Transactions on Medical Imaging.

FAST FLUID REGISTRATION WITH DIRICHLET BOUNDARY CONDITIONS: A TRANSFORM-BASED APPROACH

Nathan D. Cahill, David J. Hawkes, Lawrence A. Ray, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Postoperative Calculation of Acetabular Cup Position Using 2-D–3-D Registration

David J. Hawkes, Graeme P. Penney, John H. Hipwell, 2007, IEEE Transactions on Biomedical Engineering.

Tapering analysis of airways with bronchiectasis

David J. Hawkes, Rebecca J. Shipley, Vasileios Vavourakis, 2018, Medical Imaging.

Onset estimation for dual input DCE-MRI liver data : information criteria used to determine statistical optimality of global or pixel-wise onset estimation

David Atkinson, D-M Koh, David J. Hawkes, 2009 .

A New Validation Method for X-ray Mammogram Registration Algorithms Using a Projection Model of Breast X-ray Compression

David J. Hawkes, John H. Hipwell, Christine Tanner, 2007, IEEE Transactions on Medical Imaging.

Establishing spatial correspondence for the analysis of images from highly deforming anatomy

David Atkinson, David J. Hawkes, Holger Roth, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Portal Delay Estimation from DCE-MRI Liver Tissue Data: Feasibility and Effect on Vascular Parameter Estimates

David Atkinson, David J. Hawkes, Martin O. Leach, 2008 .

Demons algorithms for fluid and curvature registration

Nathan D. Cahill, David J. Hawkes, J. Alison Noble, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Using fractional gradient information in non-rigid image registration: application to breast MRI

Sébastien Ourselin, Marc Modat, Andrew Melbourne, 2012, Medical Imaging.

Feasibility study of a novel technique for constructing respiratory motion models, for use in 4D lung cancer radiotherapy planning

David J. Hawkes, Jamie R. McClelland, J Blackall, 2004 .

A comparison of similarity measures for use in 2-D-3-D medical image registration

Jürgen Weese, David J. Hawkes, Graeme P. Penney, 1998, IEEE Transactions on Medical Imaging.

Establishing Spatial Correspondence between the Inner Colon Surfaces from Prone and Supine CT Colonography

Sébastien Ourselin, Marc Modat, David J. Hawkes, 2010, MICCAI.

Consistency of parametric registration in serial MRI studies of brain tumor progression

Sébastien Ourselin, H. Rolf Jäger, Marc Modat, 2008, International Journal of Computer Assisted Radiology and Surgery.

Nonrigid image registration with two-sided space-fractional partial differential equations

Sébastien Ourselin, Andrew Melbourne, Nathan D. Cahill, 2013, 2013 IEEE International Conference on Image Processing.

MR to Ultrasound Image Registration for Guiding Prostate Biopsy and Interventions

David J. Hawkes, Dean C. Barratt, Yipeng Hu, 2009, MICCAI.

Spectral Imaging Of Thermal Damage Induced During Microwave Ablation In The Liver*

David J. Hawkes, Danail Stoyanov, Geoffrey Jones, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Minimum slice spacing required to reconstruct 3D shape for serial sections of breast tissue for comparison with medical imaging

David J. Hawkes, John H. Hipwell, Björn Eiben, 2015, Medical Imaging.

Estimating Sparse Deformation Fields Using Multiscale Bayesian Priors and 3-D Ultrasound

David J. Hawkes, Graeme P. Penney, Derek L. G. Hill, 2001, IPMI.

CT colonography: inverse-consistent symmetric registration of prone and supine inner colon surfaces

Sébastien Ourselin, Marc Modat, David J. Hawkes, 2013, Medical Imaging.

Fourier Methods for Nonparametric Image Registration

Nathan D. Cahill, David J. Hawkes, J. Alison Noble, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Using statistical deformation models for the registration of multimodal breast images

David J. Hawkes, John H. Hipwell, Christine Tanner, 2009, Medical Imaging.

Modelling Prostate Motion for Data Fusion During Image-Guided Interventions

David J. Hawkes, Dean C. Barratt, Yipeng Hu, 2011, IEEE Transactions on Medical Imaging.

Validation of Volume-Preserving Non-rigid Registration: Application to Contrast-Enhanced MR-Mammography

David J. Hawkes, Derek L. G. Hill, Martin O. Leach, 2002, MICCAI.

Statistical Motion Mask and Sliding Registration

David J. Hawkes, Björn Eiben, Uwe Oelfke, 2018, WBIR.

David J. Hawkes, Derek L. G. Hill, Tim C. S. Cox, 1999, IEEE Transactions on Medical Imaging.

Breast Conserving Surgery Outcome Prediction: A Patient-Specific, Integrated Multi-modal Imaging and Mechano-Biological Modelling Framework

Jaime S. Cardoso, Thomas Bülow, David J. Hawkes, 2016, Digital Mammography / IWDM.

Registration of Video Images to Tomographic Images by Optimising Mutual Information Using Texture Mapping

Daniel Rueckert, David J. Hawkes, Derek L. G. Hill, 1999, MICCAI.

On pattern selection for laparoscope calibration

Sébastien Ourselin, David J. Hawkes, Danail Stoyanov, 2017, Medical Imaging.

A hybrid patient‐specific biomechanical model based image registration method for the motion estimation of lungs

David J. Hawkes, Lianghao Han, Dean C. Barratt, 2017, Medical Image Anal..

Investigation of intraoperative brain deformation using a 1.5-T interventional MR system: preliminary results

Haiying Liu, Daniel Rueckert, David J. Hawkes, 1998, IEEE Transactions on Medical Imaging.

A Validated Multiscale In-Silico Model for Mechano-sensitive Tumour Angiogenesis and Growth

David J. Hawkes, Rebecca Shipley, Vasileios Vavourakis, 2017, PLoS Comput. Biol..

A Generic Framework for Non-rigid Registration Based on Non-uniform Multi-level Free-Form Deformations

Haiying Liu, Daniel Rueckert, David J. Hawkes, 2001, MICCAI.

Accuracy validation of an image guided laparoscopy system for liver resection

Sébastien Ourselin, David J. Hawkes, Danail Stoyanov, 2015, Medical Imaging.

Fast free-form deformation using graphics processing units

Sébastien Ourselin, Zeike A. Taylor, Marc Modat, 2010, Comput. Methods Programs Biomed..

A Comparison of Simularity Measures for use in 2D-3D Medical Image Registration

Jürgen Weese, David J. Hawkes, Graeme P. Penney, 1998, MICCAI.

Does registration improve the performance of a computer aided diagnosis system for dynamic contrast-enhanced MR mammography?

David J. Hawkes, Christine Tanner, Martin O. Leach, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Constructing Patient Specific Models for Correcting Intraoperative Brain Deformation

Haiying Liu, David J. Hawkes, Derek L. G. Hill, 2001, MICCAI.

Augmented reality needle ablation guidance tool for irreversible electroporation in the pancreas

David J. Hawkes, Danail Stoyanov, Neil Clancy, 2018, Medical Imaging.

Early image representation using regions defined by maximum gradient paths between singular points

David J. Hawkes, Paul L. Rosin, Alan C. F. Colchester, 1992, Pattern Recognit..

Design and Evaluation of Image Guidance Systems for RARP

David J. Hawkes, Prokar Dasgupta, S Thompson, 2012 .

Intensity-Based MRI to X-ray Mammography Registration with an Integrated Fast Biomechanical Transformation

Nico Karssemeijer, Zeike A. Taylor, David J. Hawkes, 2012, Digital Mammography / IWDM.

Intensity-based 2-D - 3-D registration of cerebral angiograms

Kawal S. Rhode, David J. Hawkes, Graeme P. Penney, 2003, IEEE Transactions on Medical Imaging.

Diffusion anisotropy in breast cancer tissue corresponds to spatial patterns of collagen alignment from structure tensor analysis of histology

David J. Hawkes, John H. Hipwell, Daniel C. Alexander, 2017 .

Validation of Non-rigid Registration Using Finite Element Methods

David J. Hawkes, Derek L. G. Hill, Martin O. Leach, 2001, IPMI.

A technique for respiratory motion correction in image guided cardiac catheterisation procedures

YingLiang Ma, Kawal S. Rhode, David J. Hawkes, 2008, SPIE Medical Imaging.

A Comparison of 2D-3D Intensity-Based Registration and Feature-Based Registration for Neurointerventions

David J. Hawkes, John H. Hipwell, Robert A. McLaughlin, 2002, MICCAI.

Development and Phantom Validation of a 3-D-Ultrasound-Guided System for Targeting MRI-Visible Lesions During Transrectal Prostate Biopsy

David J. Hawkes, Dean C. Barratt, Yipeng Hu, 2017, IEEE Transactions on Biomedical Engineering.

Registration-Based Interpolation Using a High-Resolution Image for Guidance

Daniel Rueckert, David J. Hawkes, Graeme P. Penney, 2004, MICCAI.

The effect of image colour distortion on evaluation of donor liver suitability for transplantation

David J. Hawkes, John L. Barbur, Leila Eadie, 2004, Comput. Biol. Medicine.

The effect of motion correction on pharmacokinetic parameter estimation in dynamic-contrast-enhanced MRI

Andrew Melbourne, David J. Hawkes, John H. Hipwell, 2010, Digital Mammography / IWDM.

Measuring and Modeling Soft Tissue Deformation for Image Guided Interventions

David J. Hawkes, Graeme P. Penney, Dean C. Barratt, 2003, IS4TH.

A Stochastic Iterative Closest Point Algorithm (stochastICP)

David J. Hawkes, Graeme P. Penney, Jane M. Blackall, 2001, MICCAI.

Image registration using an extendable quadratic regulariser

Andrew Melbourne, Nathan D. Cahill, David J. Hawkes, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Methods for Inverting Dense Displacement Fields: Evaluation in Brain Image Registration

David J. Hawkes, Oscar Camara, William R. Crum, 2007, MICCAI.

Evaluation of the limits of visual detection of image misregistration in a brain fluorine-18 fluorodeoxyglucose PET MRI study

Colin Studholme, David J. Hawkes, Joseph C. H. Wong, 1997, European Journal of Nuclear Medicine.

Effects of Respiratory Liver Motion on Heating for Gated and Model-Based Motion-Compensated High-Intensity Focused Ultrasound Ablation

David J. Hawkes, Dean C. Barratt, Erik-Jan Rijkhorst, 2011, MICCAI.

Magnetic resonance virtual histology for embryos: 3D atlases for automated high-throughput phenotyping

Marc Modat, Sébastien Ourselin, David J. Hawkes, 2011, NeuroImage.

Using Photo-Consistency to Register 2D Optical Images of the Human Face to a 3D Surface Model

Daniel Rueckert, David J. Hawkes, Derek L. G. Hill, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

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

David J. Hawkes, Graeme P. Penney, Jane M. Blackall, 2005, IEEE Transactions on Medical Imaging.

Revisiting overlap invariance in medical image alignment

Nathan D. Cahill, David J. Hawkes, J. Alison Noble, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

External Clinical Validation of Prone and Supine CT Colonography Registration

David J. Hawkes, Holger Roth, Thomas Hampshire, 2012, Abdominal Imaging.

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

David J. Hawkes, Graeme P. Penney, Dean C. Barratt, 2006, IEEE Transactions on Medical Imaging.

Visualisation of Multimodal Images for Neurosurgical Planning and Guidance

David J. Hawkes, Cliff F. Ruff, Alan C. F. Colchester, 1995, CVRMed.

Medical Image Registration Using Knowledge of Adjacency of Anatomical Structures

David J. Hawkes, Derek L. G. Hill, D. Hill, 1994, BMVC.

Breathing motion compensated registration of laparoscopic liver ultrasound to CT

David J. Hawkes, Dean C. Barratt, Maria Robu, 2017, Medical Imaging.

MOTION AND BIOMECHANICAL MODELS FOR IMAGE-GUIDED INTERVENTIONS

David Atkinson, David J. Hawkes, Graeme P. Penney, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Registration of Untracked 2D Laparoscopic Ultrasound Liver Images to CT Using Content-Based Retrieval and Kinematic Priors

David J. Hawkes, Dean C. Barratt, Kurinchi Gurusamy, 2019, SUSI/PIPPI@MICCAI.

Coronary Motion Modelling for Augmented Reality Guidance of Endoscopic Coronary Artery Bypass

Michael Figl, Daniel Rueckert, Fernando Bello, 2008, ISBMS.

Integrating biological knowledge, novel imaging modalities, and modeling in breast cancer diagnosis

Nico Karssemeijer, Gábor Székely, David J. Hawkes, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Assessment of Intraoperative Brain Deformation Using Interventional MR Imaging

Daniel Rueckert, David J. Hawkes, Derek L. G. Hill, 1999, MICCAI.

Influence of Organ Motion and Contrast Enhancement on Image Registration

David Atkinson, Andrew Melbourne, David J. Hawkes, 2008, MICCAI.

In vivo estimation of target registration errors during augmented reality laparoscopic surgery

Sébastien Ourselin, David J. Hawkes, Kurinchi Gurusamy, 2018, International Journal of Computer Assisted Radiology and Surgery.

Endoluminal surface registration for CT colonography using haustral fold matching☆

David J. Hawkes, Holger Roth, Thomas Hampshire, 2013, Medical Image Anal..

Quantification of Blood Flow from Rotational Angiography

David J. Hawkes, Dean C. Barratt, Jörg Bredno, 2007, MICCAI.

Breast Shapes on Real and Simulated Mammograms

Gábor Székely, David J. Hawkes, John H. Hipwell, 2010, Digital Mammography / IWDM.

VERDICT prostate parameter estimation with AMICO

David Atkinson, David J. Hawkes, Daniel C. Alexander, 2018 .

Characterizing Breast Phenotype with a Novel Measure of Fibroglandular Structure

Andy Evans, David J. Hawkes, John H. Hipwell, 2012, Digital Mammography / IWDM.

Ultrasound calibration using intensity-based image registration: for application in cardiac catheterization procedures

Kawal S. Rhode, David J. Hawkes, Graeme P. Penney, 2008, SPIE Medical Imaging.

X-Ray Mammogram Registration: A Novel Validation Method

David J. Hawkes, John H. Hipwell, Christine Tanner, 2006, Digital Mammography / IWDM.

Editorial

Mads Nielsen, David J. Hawkes, 2007, Medical Image Anal..

Towards Spatial Correspondence between Specimen and In-vivo Breast Imaging

Nico Karssemeijer, David J. Hawkes, John H. Hipwell, 2014, Digital Mammography / IWDM.

Manifold Learning of COPD

David J. Hawkes, Joseph Jacob, Jamie McClelland, 2017, MICCAI.

Stereo Augmented Reality in the Surgical Microscope

David J. Hawkes, Derek L. G. Hill, Tim C. S. Cox, 2000, Presence: Teleoperators & Virtual Environments.

Extending the quadratic taxonomy of regularizers for nonparametric registration

Nathan D. Cahill, David J. Hawkes, J. Alison Noble, 2010, Medical Imaging.

Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method

David J. Hawkes, Holger Roth, Thomas Hampshire, 2012, Abdominal Imaging.

Validation of PET Imaging by Alignment to Histology Slices

David J. Hawkes, Michael R. Fenlon, Philip J. Edwards, 2005, MICCAI.

Re-localisation of a biopsy site in endoscopic images and characterisation of its uncertainty

Sébastien Ourselin, David J. Hawkes, Laurence B. Lovat, 2012, Medical Image Anal..

Determining material properties of the breast for image-guided surgery

David J. Hawkes, Christine Tanner, Timothy J. Carter, 2009, Medical Imaging.

Cylindrical affine transformation model for image registration

Gábor Székely, David J. Hawkes, Christine Tanner, 2010, Medical Imaging.

A Geometric Model for the Lumen of Blood Vessels in X-ray Angiography

David J. Hawkes, Alan C. F. Colchester, Charles R. Hardingham, 1989, Alvey Vision Conference.

2D-3D Intensity Based Registration of DSA and MRA - A Comparison of Similarity Measures

David J. Hawkes, Graeme P. Penney, John H. Hipwell, 2002, MICCAI.

Automatic Estimation of Error in Voxel-Based Registration

David J. Hawkes, William R. Crum, Lewis D. Griffin, 2004, MICCAI.

Combined 2D and 3D tracking of surgical instruments for minimally invasive and robotic-assisted surgery

Sébastien Ourselin, David J. Hawkes, Danail Stoyanov, 2016, International Journal of Computer Assisted Radiology and Surgery.

A comparison of a similarity-based and a feature-based 2-D-3-D registration method for neurointerventional use

David J. Hawkes, John H. Hipwell, Robert A. McLaughlin, 2005, IEEE Transactions on Medical Imaging.

Accounting for changing overlap in variational image registration

Nathan D. Cahill, David J. Hawkes, J. Alison Noble, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Reproducibility of an airway tapering measurement in computed tomography with application to bronchiectasis

David J. Hawkes, Rebecca J. Shipley, Joseph Jacob, 2019, Journal of medical imaging.

Bayesian Estimation of Intra-operative Deformation for Image-Guided Surgery Using 3-D Ultrasound

David J. Hawkes, Graeme P. Penney, Derek L. G. Hill, 2000, MICCAI.

Quantitative assessment of colonic movement between prone and supine patient positions during CTC

David J. Hawkes, Shonit Punwani, Sa Taylor, 2008 .

Registration Methodology: Introduction

David J. Hawkes, David J. Hawkes, 2001 .

Myocardial delineation via registration in a polar coordinate system1

Marcel Breeuwer, David J. Hawkes, Reza Razavi, 2003 .

Modelling Prostate Gland Motion for Image-Guided Interventions

David J. Hawkes, Dean C. Barratt, Yipeng Hu, 2008, ISBMS.

Log-Euclidean free-form deformation

Sébastien Ourselin, Marc Modat, David J. Hawkes, 2011, Medical Imaging.

A Statistical Model of Respiratory Motion and Deformation of the Liver

David J. Hawkes, Graeme P. Penney, Jane M. Blackall, 2001, MICCAI.

Augmented reality image guidance for minimally invasive coronary artery bypass

Michael Figl, Daniel Rueckert, Fernando Bello, 2008, SPIE Medical Imaging.

Volume estimation from sparse planar images using deformable models

David J. Hawkes, Cliff F. Ruff, S. W. Hughes, 1999, Image Vis. Comput..

Using Registration to Quantify the Consistency of Whole Liver Position during Patient Breath-hold in Dynamic Contrast-Enhanced MRI

David Atkinson, Andrew Melbourne, David J. Hawkes, 2007 .

Respiratory motion models: a review.

David J. Hawkes, Tobias Schaeffter, Andrew P. King, 2013 .

An Atlas-Based Segmentation Propagation Framework Using Locally Affine Registration - Application to Automatic Whole Heart Segmentation

Simon R. Arridge, Sébastien Ourselin, Kawal S. Rhode, 2008, MICCAI.

Measures of folding applied to the development of the human fetal brain

David J. Hawkes, Derek L. G. Hill, Tim C. S. Cox, 2002, IEEE Transactions on Medical Imaging.

Accurate Localization of Optic Radiation During Neurosurgery in an Interventional MRI Suite

Sébastien Ourselin, Marc Modat, David J. Hawkes, 2012, IEEE Transactions on Medical Imaging.

Automatic phase point determination for cardiac CT imaging

Michael Grass, David J. Hawkes, Thomas Köhler, 2004, SPIE Medical Imaging.

Using Points and Surfaces to Improve Voxel-Based Non-rigid Registration

Haiying Liu, David J. Hawkes, Derek L. G. Hill, 2002, MICCAI.

Registration of Temporally Separated CT Colonography Cases

David J. Hawkes, Holger Roth, Thomas Hampshire, 2013, Abdominal Imaging.

Alignment of dynamic contrast-enhanced MR volumes of the breast for a multicenter trial: an exemplar grid application

David J. Hawkes, Yalin Zheng, Derek L. G. Hill, 2004, SPIE Medical Imaging.

Joint Registration and Limited-Angle Reconstruction of Digital Breast Tomosynthesis

Guang Yang, Simon R. Arridge, David J. Hawkes, 2012, Digital Mammography / IWDM.

Tracking alignment of sparse ultrasound with preoperative images of the liver and an interventional plan using models of respiratory motion and deformation

David J. Hawkes, Graeme P. Penney, Jane M. Blackall, 2004, Medical Imaging: Image-Guided Procedures.

Microstructural characterisation of normal and malignant human prostate tissue with VERDICT-MRI

David Atkinson, David J. Hawkes, Daniel C. Alexander, 2014 .

Combined Reconstruction and Registration of Digital Breast Tomosynthesis

Guang Yang, Simon R. Arridge, Sébastien Ourselin, 2010, Digital Mammography / IWDM.

Pitfalls in Comparing Functional Magnetic Resonance Imaging and Invasive Electrophysiology Recordings

David J. Hawkes, Derek L. G. Hill, Tim C. S. Cox, 1998, MICCAI.

David J. Hawkes, Torsten Rohlfing, Derek L. G. Hill, 2000, IEEE Trans. Medical Imaging.

Hand–eye calibration for rigid laparoscopes using an invariant point

Sébastien Ourselin, David J. Hawkes, Danail Stoyanov, 2016, International Journal of Computer Assisted Radiology and Surgery.

A hybrid fem-based method for aligning prone and supine images for image guided breast surgery

Sébastien Ourselin, Marc Modat, David J. Hawkes, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Breast deformation modelling: comparison of methods to obtain a patient specific unloaded configuration

Cristian Lorenz, Sven Kabus, Thomas Bülow, 2014, Medical Imaging.

Contrast-enhancement simulation using principal components for registration of Dynamic Contrast-Enhanced MRI

David Atkinson, Andrew Melbourne, David J. Hawkes, 2007 .

Toward Detection and Localization of Instruments in Minimally Invasive Surgery

Sébastien Ourselin, David J. Hawkes, Danail Stoyanov, 2013, IEEE Transactions on Biomedical Engineering.

Measurement and analysis of brain deformation during neurosurgery

Haiying Liu, David J. Hawkes, Derek L. G. Hill, 2003, IEEE Transactions on Medical Imaging.

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

Sébastien Ourselin, David J. Hawkes, Steve Thompson, 2014, International Journal of Computer Assisted Radiology and Surgery.

MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters

Nico Karssemeijer, Sébastien Ourselin, Zeike A. Taylor, 2014, Medical Image Anal..

Non-rigid Reconstruction of the Beating Heart Surface for Minimally Invasive Cardiac Surgery

Michael Figl, Daniel Rueckert, Fernando Bello, 2009, MICCAI.

Anatomical landmark image registration: validation and comparison

David J. Hawkes, Johannes Buurman, Karel C. Strasters, 1997, CVRMed.

Non-rigid Registration of Breast MR Images Using Mutual Information

Daniel Rueckert, Colin Studholme, David J. Hawkes, 1998, MICCAI.

Quantifying blood flowdivision at bifurcations from rotational angiography

David J. Hawkes, Dean C. Barratt, Jörg Bredno, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

VTK CISG Registration Toolkit: An Open Source Software Package for Affine and Nonrigid Registration of Single- and Multimodal 3D images

Daniel Rueckert, David J. Hawkes, Derek L. G. Hill, 2002, Bildverarbeitung für die Medizin.

A comparative study of breast surface reconstruction for aesthetic outcome assessment pdf

David J. Hawkes, Danail Stoyanov, John H. Hipwell, 2017, MICCAI.

Medical Ultrasound Image Similarity Measurement by Human Visual System (HVS) Modelling

Benjamin Adams, David J. Hawkes, Darryl A. de Cunha, 2002, Biologically Motivated Computer Vision.

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

David J. Hawkes, Derek L. G. Hill, Anthony J. Strong, 2000 .

3D ultrasound simulation based on a biomechanical model of prone MRI in breast cancer imaging

David J. Hawkes, John H. Hipwell, Björn Eiben, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Automatic Prone to Supine Haustral Fold Matching in CT Colonography Using a Markov Random Field Model

David J. Hawkes, Holger Roth, Thomas Hampshire, 2011, MICCAI.

Anisotropic Wave Propagation and Apparent Conductivity Estimation in a Fast Electrophysiological Model: Application to XMR Interventional Imaging

YingLiang Ma, Simon R. Arridge, Kawal S. Rhode, 2007, MICCAI.

AcouStick: An Optically Tracked A-Mode Ultrasonography System for Registration in Image-Guided Neurosurgery

David J. Hawkes, Ronald P. Gaston, Michael R. Fenlon, 1999, Stereotactic and Functional Neurosurgery.

2 D-3 D Pose Tracking of Rigid Instruments in Minimally Invasive Surgery

Sébastien Ourselin, David J. Hawkes, Danail Stoyanov, 2014 .

Blood flow measurements using 3D distance-concentration functions derived from digital x-ray angiograms

David J. Hawkes, Alexander M. Seifalian, Christopher F. Bladin, 1996 .

Constructing and solving variational image registration problems

David J. Hawkes, 2009 .

Real-time 3D surface imaging for patient positioning in radiotherapy

David J. Hawkes, Laura Johnson, M. Bidmead, 2003 .

Registration of preoperative MR to intraoperative ultrasound images for guiding minimally invasive prostate interventions

David J. Hawkes, Dean C. Barratt, Dominic Morgan, 2007 .

Registered High Resolution Images In The Interpretation Of Radionuclide Scans

Eldon D. Lehmann, David J. Hawkes, Derek L. G. Hill, 1990, [1990] Proceedings of the Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Designing Grid-enabled Image Registration Services for MIAKT

David J. Hawkes, Yalin Zheng, Derek L. G. Hill, 2004 .

Modelling vasculature and cellular restriction in breast tumours using diffusion MRI

David J. Hawkes, John H. Hipwell, Daniel C. Alexander, 2014 .

An accurate parametrisation of the x-ray attenuation coefficient.

David J. Hawkes, Daphne F. Jackson, 1980 .

Registration and display of the combined bone scan and radiograph in the diagnosis and management of wrist injuries

David J. Hawkes, Michael N. Maisey, D. Hawkes, 2004, European Journal of Nuclear Medicine.

MEDICAL IMAGING 2008

David Atkinson, Xiahai Zhuang, David J. Hawkes, 2008 .

X-ray attenuation coefficients of elements and mixtures

David J. Hawkes, Daphne F. Jackson, D. F. Jackson, 1981 .