Jamie R. McClelland

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 9

Top Topics

Respiratory Motion

Manifold Learning

Image Registration

Top Venues

Medical Image Anal.

Publications

Yuliang Huang, Björn Eiben, Kris Thielemans, Jamie R. McClelland
Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography. CoRR (2024)
Yuliang Huang, Kris Thielemans, Jamie R. McClelland
Surrogate-Driven Motion Model for Motion Compensated Cone-beam CT Reconstruction using Unsorted Projection Data. ISBI (2023)
Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning. CoRR (2018)
Björn Eiben, Elena H. Tran, Martin J. Menten, Uwe Oelfke, David J. Hawkes, Jamie R. McClelland
Statistical Motion Mask and Sliding Registration. WBIR (2018)
Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso
Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning. MICCAI (4) (2018)
Christian F. Baumgartner, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andrew P. King
Autoadaptive motion modelling for MR-based respiratory motion estimation. Medical Image Anal. 35 (2017)
Felix J. S. Bragman, Jamie R. McClelland, Joseph Jacob, John R. Hurst, David J. Hawkes
Pulmonary Lobe Segmentation With Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior. IEEE Trans. Medical Imaging 36 (8) (2017)
Lianghao Han, Hua Dong, Jamie R. McClelland, Liangxiu Han, David J. Hawkes, Dean C. Barratt
A hybrid patient-specific biomechanical model based image registration method for the motion estimation of lungs. Medical Image Anal. 39 (2017)
Felix J. S. Bragman, Jamie R. McClelland, Joseph Jacob, John R. Hurst, David J. Hawkes
Manifold Learning of COPD. MICCAI (3) (2017)
Christian F. Baumgartner, Alberto Gómez, Lisa M. Koch, Richard James Housden, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andy P. King
Self-Aligning Manifolds for Matching Disparate Medical Image Datasets. IPMI (2015)
Christian F. Baumgartner, Christoph Kolbitsch, Daniel R. Balfour, Paul K. Marsden, Jamie R. McClelland, Daniel Rueckert, Andrew P. King
High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment. Medical Image Anal. 18 (7) (2014)
Jamie R. McClelland, Benjamin A. S. Champion, David J. Hawkes
Combining Image Registration, Respiratory Motion Modelling, and Motion Compensated Image Reconstruction. WBIR (2014)
Felix J. S. Bragman, Jamie R. McClelland, Marc Modat, Sébastien Ourselin, John R. Hurst, David J. Hawkes
Multi-scale Analysis of Imaging Features and Its Use in the Study of COPD Exacerbation Susceptible Phenotypes. MICCAI (3) (2014)
Christian F. Baumgartner, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andy P. King
Autoadaptive motion modelling. ISBI (2014)
Holger R. Roth, Jamie R. McClelland, Marc Modat, Thomas Hampshire, Darren Boone, Emma Helbren, Andrew Plumb, Mingxing Hu, Sébastien Ourselin, Steve Halligan, David J. Hawkes
CT colonography: inverse-consistent symmetric registration of prone and supine inner colon surfaces. Medical Imaging: Image Processing (2013)
Jamie R. McClelland, Adam G. Chandler, Jane M. Blackall, S. Ahmad, David B. Landau, David J. Hawkes
4D motion models over the respiratory cycle for use in lung cancer radiotherapy planning. Medical Imaging: Image-Guided Procedures (2005)