P. Edwards

发表

Automatic Segmentation of Different Pathologies from Cardiac Cine MRI Using Registration and Multiple Component EM Estimation

Daniel Rueckert, Sébastien Ourselin, Xiahai Zhuang, 2011, FIMH.

A System for Microscope-Assisted Guided Interventions

R. P. Gaston, D. Hill, D. Hawkes, 2000, Stereotactic and Functional Neurosurgery.

Image-guided robotic interventions for prostate cancer

A. Darzi, P. Pratt, Guang-Zhong Yang, 2013, Nature Reviews Urology.

Locking acrylic resin dental stent for image-guided surgery.

A. Jusczyzck, P. Edwards, A. King, 2000, The Journal of prosthetic dentistry (Print).

Augmentation of reality using an operating microscope for otolaryngology and neurosurgical guidance.

D. Hill, D. Hawkes, P. Edwards, 1995, Journal of image guided surgery.

Visual Tracking vs Optical Tracking in Computer-Assisted Intervention

D. Stoyanov, J. Barreto, P. Edwards, 2018 .

Registration of a 4 D Cardiac Motion Model to Endoscopic Video for Augmented Reality Image Guidance of Robotic Coronary Artery Bypass

M. Figl, D. Rueckert, D. Hawkes, 2008 .

Proceedings of the Third international conference on Medical Imaging and Augmented Reality

Guang-Zhong Yang, Yong Fan, Hongen Liao, 2006 .

The Challenge of Augmented Reality in Surgery

D. Stoyanov, P. Edwards, M. Chand, 2020 .

Medical Imaging and Augmented Reality

Hongen Liao, Xiaochuan Pan, Yong Fan, 2004 .

3D Reconstruction of Internal Organ Surfaces for Minimal Invasive Surgery

Michael Figl, David J. Hawkes, Graeme P. Penney, 2007, MICCAI.

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

Florian Jung, Christos Davatzikos, Dean C. Barratt, 2014, Medical Image Anal..

Augmented Reality Image Guidance in Minimally Invasive Prostatectomy

Guang-Zhong Yang, Dongbin Chen, Daniel Cohen, 2010, Prostate Cancer Imaging.

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

Kawal S. Rhode, David J. Hawkes, Graeme P. Penney, 2005, Medical Image Anal..

On mixed reality environments for minimally invasive therapy guidance: Systems architecture, successes and challenges in their implementation from laboratory to clinic

Nassir Navab, Terry M. Peters, Richard A. Robb, 2013, Comput. Medical Imaging Graph..

Real-Time Dense Stereo Reconstruction Using Convex Optimisation with a Cost-Volume for Image-Guided Robotic Surgery

Danail Stoyanov, Andrew J. Davison, Philip J. Edwards, 2013, MICCAI.

Image-guided navigation in oral and maxillofacial surgery.

D Hawkes, D. Hawkes, P. Edwards, 2005, The British journal of oral & maxillofacial surgery.

A Stochastic Iterative Closest Point Algorithm (stochastICP)

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

A three-component deformation model for image-guided surgery

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

Intelligent viewpoint selection for efficient CT to video registration in laparoscopic liver surgery

David J. Hawkes, Danail Stoyanov, Maria Robu, 2017, International Journal of Computer Assisted Radiology and Surgery.

2D/3D Registration of a Preoperative Model with Endoscopic Video Using Colour-Consistency

Dongbin Chen, Daniel Cohen, Philip J. Edwards, 2011, AE-CAI.

A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration

Sébastien Ourselin, Kawal S. Rhode, Daniel Rueckert, 2012, IEEE Transactions on Medical Imaging.

Implicit domain adaptation with conditional generative adversarial networks for depth prediction in endoscopy

Danail Stoyanov, Anita Rau, Mirek Janatka, 2019, International Journal of Computer Assisted Radiology and Surgery.

Stereo Augmented Reality in the Surgical Microscope

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

Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery

Danail Stoyanov, Emanuele Colleoni, Philip Edwards, 2020, MICCAI.

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

David J. Hawkes, Subhash Chandra, Derek L. G. Hill, 1999, IEEE Transactions on Medical Imaging.

Deep residual networks for automatic segmentation of laparoscopic videos of the liver

David J. Hawkes, Dean C. Barratt, Eli Gibson, 2017, 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.

Sample Sufficiency and PCA Dimension for Statistical Shape Models

Michael Figl, Daniel Rueckert, Ara Darzi, 2008, ECCV.

Validation of PET Imaging by Alignment to Histology Slices

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

Deformation for Image Guided Interventions Using a Three Component Tissue Model

David J. Hawkes, Derek L. G. Hill, Philip J. Edwards, 1997, IPMI.

Automatical vessel wall detection in intravascular coronary OCT

Daniel Rueckert, Philip J. Edwards, Kai-Pin Tung, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

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

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

Robust Real-Time Visual Odometry for Stereo Endoscopy Using Dense Quadrifocal Tracking

Danail Stoyanov, Andrew J. Davison, Philip J. Edwards, 2014, IPCAI.

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..

Cadaver validation of intensity-based ultrasound to CT registration

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

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.

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

David J. Hawkes, Graeme P. Penney, Dean C. Barratt, 2004, 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..

Principles and Practice of Image-guided Neurosurgery

Anthony J. Strong, Philip J. Edwards, Kristian Aquilina, 2006 .

3D Medical Imaging

Philip Batchelor, Andrew P. King, P. J. “Eddie” Edwards, 2012, 3D Imaging, Analysis and Applications.

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.

Segmentation of cardiac MR and CT image sequences using model-based registration of a 4D statistical model

Daniel Rueckert, Raad Mohiaddin, Dimitrios Perperidis, 2007, SPIE Medical Imaging.

4D motion modeling of the coronary arteries from CT images for robotic assisted minimally invasive surgery

Daniel Rueckert, Philip J. Edwards, Dong Ping Zhang, 2009, Medical Imaging.

Multi-scale feature learning on pixels and super-pixels for seminal vesicles MRI segmentation

Daniel Rueckert, Tong Tong, Akshay Asthana, 2014, Medical Imaging.

Registration and tracking to integrate X-ray and MR images in an XMR Facility

Kawal S. Rhode, Daniel Rueckert, John H. Hipwell, 2003, IEEE Transactions on Medical Imaging.

Automatic Cardiac Motion Tracking Using Both Untagged and 3D Tagged MR Images

Sébastien Ourselin, Daniel Rueckert, Haiyan Wang, 2011, STACOM.

A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation

Sébastien Ourselin, Daniel Rueckert, Haiyan Wang, 2011, STACOM.

Simultaneous Reconstruction of 4-D Myocardial Motion from Both Tagged and Untagged MR Images Using Nonrigid Image Registration

Daniel Rueckert, Maria Murgasova, Philip J. Edwards, 2010, MIAR.

Surface transparency makes stereo overlays unpredictable: the implications for augmented reality.

David Hawkes, Laura G Johnson, Philip Edwards, 2003, Studies in health technology and informatics.

Self-Calibrating Ultrasound-to-CT Bone Registration

David J. Hawkes, Graeme P. Penney, Dean C. Barratt, 2005, MICCAI.

Depth perception of stereo overlays in image-guided surgery

Philip J. Edwards, Lewis D. Griffin, David J. Hawkes, 2004, SPIE Medical Imaging.

The Limits of Transparent Depth Perception with Restricted Field of View: Application in an Augmented Reality Surgical Microscope

Leila Eadie, Laura Johnson, Philip Edwards, 2001 .

Multi-atlas based neointima segmentation in intravascular coronary OCT

Daniel Rueckert, Haiyan Wang, Tong Tong, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Modeling of the bony pelvis from MRI using a multi-atlas AE-SDM for registration and tracking in image-guided robotic prostatectomy

Daniel Rueckert, Guang-Zhong Yang, Ara Darzi, 2013, Comput. Medical Imaging Graph..

Statistical shape modelling: How many modes should be retained?

Michael Figl, Daniel Rueckert, Ara Darzi, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Freehand Cocalibration of Optical and Electromagnetic Trackers for Navigated Bronchoscopy

Guang-Zhong Yang, F. Deligianni, P. Edwards, 2004, MIAR.

Visual kinematic force estimation in robot-assisted surgery – application to knot tying

Danail Stoyanov, P. J. “ Eddie” Edwards, Emanuele Colleoni, 2020, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Sample Sufficiency and Number of Modes to Retain in Statistical Shape Modelling

Michael Figl, Daniel Rueckert, Ara Darzi, 2008, MICCAI.

Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images

Daniel Rueckert, Yipeng Hu, Akshay Asthana, 2014, 2014 22nd International Conference on Pattern Recognition.

Clinical Experience and Perception in Stereo Augmented Reality Surgical Navigation

David J. Hawkes, Anthony J. Strong, Michael J. Gleeson, 2004, MIAR.