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Andrew Melbourne
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- affiliation: University College London, UK
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2020 – today
- 2025
- [e8]Daphna Link-Sourani, Esra Abaci Turk, Christopher K. Macgowan, Jana Hutter, Andrew Melbourne, Roxane Licandro:
Perinatal, Preterm and Paediatric Image Analysis - 9th International Workshop, PIPPI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 14747, Springer 2025, ISBN 978-3-031-73259-1 [contents] - 2024
- [j15]Hassna Irzan, Michael Hütel, Helen O'Reilly, Sébastien Ourselin, Neil Marlow, Andrew Melbourne:
Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain. Medical Image Anal. 92: 103037 (2024) - [j14]Lucas Fidon, Michael Aertsen, Florian Kofler, Andrea Bink, Anna L. David, Thomas Deprest, Doaa Emam, Frédéric Guffens, András Jakab, Gregor Kasprian, Patric Kienast, Andrew Melbourne, Bjoern H. Menze, Nada Mufti, Ivana Pogledic, Daniela Prayer, Marlene Stuempflen, Esther Van Elslander, Sébastien Ourselin, Jan Deprest, Tom Vercauteren:
A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3784-3795 (2024) - 2023
- [c42]Joanna Chappell, Magdalena J. Sokolska, Rosalind Aughwane, Alys R. Clark, Sébastien Ourselin, Anna L. David, Andrew Melbourne:
Visualization and Quantification of Placental Vasculature Using MRI. PIPPI@MICCAI 2023: 88-97 - [e7]Daphna Link-Sourani, Esra Abaci Turk, Christopher K. Macgowan, Jana Hutter, Andrew Melbourne, Roxane Licandro:
Perinatal, Preterm and Paediatric Image Analysis - 8th International Workshop, PIPPI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Lecture Notes in Computer Science 14246, Springer 2023, ISBN 978-3-031-45543-8 [contents] - 2022
- [e6]Roxane Licandro, Andrew Melbourne, Esra Abaci Turk, Christopher K. Macgowan, Jana Hutter:
Perinatal, Preterm and Paediatric Image Analysis - 7th International Workshop, PIPPI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13575, Springer 2022, ISBN 978-3-031-17116-1 [contents] - [i5]Lucas Fidon, Michael Aertsen, Florian Kofler, Andrea Bink, Anna L. David, Thomas Deprest, Doaa Emam, Frédéric Guffens, András Jakab, Gregor Kasprian, Patric Kienast, Andrew Melbourne, Bjoern H. Menze, Nada Mufti, Ivana Pogledic, Daniela Prayer, Marlene Stuempflen, Esther Van Elslander, Sébastien Ourselin, Jan Deprest, Tom Vercauteren:
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation. CoRR abs/2204.02779 (2022) - [i4]Aya Mutaz Zeidan, Paula Ramirez Gilliland, Ashay Patel, Zhanchong Ou, Dimitra Flouri, Nada Mufti, Kasia Maksym, Rosalind Aughwane, Sébastien Ourselin, Anna L. David, Andrew Melbourne:
PIPPI2021: An Approach to Automated Diagnosis and Texture Analysis of the Fetal Liver & Placenta in Fetal Growth Restriction. CoRR abs/2211.02639 (2022) - 2021
- [j13]Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart H. Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jennings Zhang, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung:
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. Medical Image Anal. 70: 101972 (2021) - [j12]Michael Hütel, Michela Antonelli, Andrew Melbourne, Sébastien Ourselin:
Hemodynamic matrix factorization for functional magnetic resonance imaging. NeuroImage 231: 117814 (2021) - [j11]Hassna Irzan, Erika Molteni, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne:
White matter analysis of the extremely preterm born adult brain. NeuroImage 237: 118112 (2021) - [c41]Beatriz Laureano, Hassna Irzan, Sébastien Ourselin, Neil Marlow, Andrew Melbourne:
Myelination of Preterm Brain Networks at Adolescence. UNSURE/PIPPI@MICCAI 2021: 179-188 - [c40]Aya Mutaz Zeidan, Paula Ramirez Gilliland, Ashay Patel, Zhanchong Ou, Dimitra Flouri, Nada Mufti, Kasia Maksym, Rosalind Aughwane, Sébastien Ourselin, Anna L. David, Andrew Melbourne:
Texture-Based Analysis of Fetal Organs in Fetal Growth Restriction. UNSURE/PIPPI@MICCAI 2021: 253-262 - [c39]Lucas Fidon, Michael Aertsen, Nada Mufti, Thomas Deprest, Doaa Emam, Frédéric Guffens, Ernst Schwartz, Michael Ebner, Daniela Prayer, Gregor Kasprian, Anna L. David, Andrew Melbourne, Sébastien Ourselin, Jan Deprest, Georg Langs, Tom Vercauteren:
Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI. UNSURE/PIPPI@MICCAI 2021: 263-273 - [c38]Lucas Fidon, Michael Aertsen, Doaa Emam, Nada Mufti, Frédéric Guffens, Thomas Deprest, Philippe Demaerel, Anna L. David, Andrew Melbourne, Sébastien Ourselin, Jan Deprest, Tom Vercauteren:
Label-Set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation. MICCAI (2) 2021: 647-657 - [e5]Carole H. Sudre, Roxane Licandro, Christian F. Baumgartner, Andrew Melbourne, Adrian V. Dalca, Jana Hutter, Ryutaro Tanno, Esra Abaci Turk, Koen Van Leemput, Jordina Torrents-Barrena, William M. Wells III, Christopher K. Macgowan:
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021 Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 12959, Springer 2021, ISBN 978-3-030-87734-7 [contents] - [i3]Lucas Fidon, Michael Aertsen, Doaa Emam, Nada Mufti, Frédéric Guffens, Thomas Deprest, Philippe Demaerel, Anna L. David, Andrew Melbourne, Sébastien Ourselin, Jan Deprest, Tom Vercauteren:
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation. CoRR abs/2107.03846 (2021) - [i2]Lucas Fidon, Michael Aertsen, Nada Mufti, Thomas Deprest, Doaa Emam, Frédéric Guffens, Ernst Schwartz, Michael Ebner, Daniela Prayer, Gregor Kasprian, Anna L. David, Andrew Melbourne, Sébastien Ourselin, Jan Deprest, Georg Langs, Tom Vercauteren:
Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI. CoRR abs/2108.04175 (2021) - 2020
- [j10]Michael Ebner, Guotai Wang, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane, Andrew Melbourne, Tom Doel, Steven Dymarkowski, Paolo De Coppi, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI. NeuroImage 206 (2020) - [c37]Hassna Irzan, Lucas Fidon, Tom Vercauteren, Sébastien Ourselin, Neil Marlow, Andrew Melbourne:
Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth. UNSURE/GRAIL@MICCAI 2020: 164-173 - [c36]Hassna Irzan, Helen O'Reilly, Sébastien Ourselin, Neil Marlow, Andrew Melbourne:
Brain Volume and Neuropsychological Differences in Extremely Preterm Adolescents. ASMUS/PIPPI@MICCAI 2020: 315-323 - [e4]Yipeng Hu, Roxane Licandro, J. Alison Noble, Jana Hutter, Stephen R. Aylward, Andrew Melbourne, Esra Abaci Turk, Jordina Torrents-Barrena:
Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis - First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12437, Springer 2020, ISBN 978-3-030-60333-5 [contents] - [i1]Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung:
Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge. CoRR abs/2006.03611 (2020)
2010 – 2019
- 2019
- [c35]Hassna Irzan, Helen O'Reilly, Sébastien Ourselin, Neil Marlow, Andrew Melbourne:
A Framework For Memory Performance Prediction From Brain Volume In Preterm-Born Adolescents. ISBI 2019: 400-403 - [c34]Premal A. Patel, Dimitra Flouri, Adam Rennie, Fergus Robertson, Lauren Davies, Vijeya Ganesan, Sanjay Bhate, Paolo De Coppi, Tom Vercauteren, Andrew Melbourne:
Quantifying the Intra-Operative Hemodynamic Effects of Glue Embolization in Vein of Galen Malformations. ISBI 2019: 754-758 - [c33]Michael Hütel, Michela Antonelli, Jinendra Ekanayake, Sébastien Ourselin, Andrew Melbourne:
Hemodynamic Matrix Factorization for Functional Magnetic Resonance Imaging. CNI@MICCAI 2019: 117-125 - [c32]Dimitra Flouri, David Owen, Rosalind Aughwane, Nada Mufti, Magdalena J. Sokolska, David Atkinson, Giles S. Kendall, Alan Bainbridge, Tom Vercauteren, Anna L. David, Sébastien Ourselin, Andrew Melbourne:
Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling. MICCAI (3) 2019: 609-616 - [e3]Qian Wang, Alberto Gómez, Jana Hutter, Kristin McLeod, Veronika A. M. Zimmer, Oliver Zettinig, Roxane Licandro, Emma C. Robinson, Daan Christiaens, Esra Abaci Turk, Andrew Melbourne:
Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis - First International Workshop, SUSI 2019, and 4th International Workshop, PIPPI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. Lecture Notes in Computer Science 11798, Springer 2019, ISBN 978-3-030-32874-0 [contents] - 2018
- [j9]Sebastiano Ferraris, Johannes L. van der Merwe, Lennart Van Der Veeken, Ferran Prados, Juan Eugenio Iglesias, Andrew Melbourne, Marco Lorenzi, Marc Modat, Willy Gsell, Jan Deprest, Tom Vercauteren:
A magnetic resonance multi-atlas for the neonatal rabbit brain. NeuroImage 179: 187-198 (2018) - [c31]David Owen, Andrew Melbourne, Zach Eaton-Rosen, David L. Thomas, Neil Marlow, Jonathan D. Rohrer, Sébastien Ourselin:
Deep Convolutional Filtering for Spatio-Temporal Denoising and Artifact Removal in Arterial Spin Labelling MRI. MICCAI (1) 2018: 21-29 - [c30]Catherine J. Scott, Jieqing Jiao, M. Jorge Cardoso, Kerstin Kläser, Andrew Melbourne, Pawel J. Markiewicz, Jonathan M. Schott, Brian F. Hutton, Sébastien Ourselin:
Short Acquisition Time PET/MR Pharmacokinetic Modelling Using CNNs. MICCAI (1) 2018: 48-56 - [c29]Michael Hütel, Andrew Melbourne, Sébastien Ourselin:
Neural Activation Estimation in Brain Networks During Task and Rest Using BOLD-fMRI. MICCAI (3) 2018: 215-222 - [c28]Michael Hütel, Andrew Melbourne, David L. Thomas, Sébastien Ourselin:
Cardiac Cycle Estimation for BOLD-fMRI. MICCAI (3) 2018: 267-274 - [c27]Michael Ebner, Guotai Wang, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane, Andrew Melbourne, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI. MICCAI (1) 2018: 313-320 - [c26]Rosalind Aughwane, Magdalena J. Sokolska, Alan Bainbridge, David Atkinson, Giles S. Kendall, Jan Deprest, Tom Vercauteren, Anna L. David, Sébastien Ourselin, Andrew Melbourne:
MRI Measurement of Placental Perfusion and Fetal Blood Oxygen Saturation in Normal Pregnancy and Placental Insufficiency. MICCAI (2) 2018: 913-920 - [e2]Andrew Melbourne, Roxane Licandro, Matthew D. DiFranco, Paolo Rota, Melanie Gau, Martin Kampel, Rosalind Aughwane, Pim Moeskops, Ernst Schwartz, Emma C. Robinson, Antonios Makropoulos:
Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis - First International Workshop, DATRA 2018 - and - Third International Workshop, PIPPI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Lecture Notes in Computer Science 11076, Springer 2018, ISBN 978-3-030-00806-2 [contents] - 2017
- [j8]Zach Eaton-Rosen, Benoît Scherrer, Andrew Melbourne, Sébastien Ourselin, Jeffrey J. Neil, Simon K. Warfield:
Investigating the maturation of microstructure and radial orientation in the preterm human cortex with diffusion MRI. NeuroImage 162: 65-72 (2017) - [c25]David Owen, Andrew Melbourne, Zach Eaton-Rosen, David Thomas, Neil Marlow, Jonathan D. Rohrer, Sébastien Ourselin:
Anatomy-Driven Modelling of Spatial Correlation for Regularisation of Arterial Spin Labelling Images. MICCAI (2) 2017: 190-197 - [c24]Catherine J. Scott, Jieqing Jiao, M. Jorge Cardoso, Andrew Melbourne, Enrico De Vita, David Thomas, Ninon Burgos, Pawel Markiewicz, Jonathan M. Schott, Brian F. Hutton, Sébastien Ourselin:
Short Acquisition Time PET Quantification Using MRI-Based Pharmacokinetic Parameter Synthesis. MICCAI (2) 2017: 737-744 - [e1]M. Jorge Cardoso, Tal Arbel, Andrew Melbourne, Hrvoje Bogunovic, Pim Moeskops, Xinjian Chen, Ernst Schwartz, Mona Kathryn Garvin, Emma C. Robinson, Emanuele Trucco, Michael Ebner, Yanwu Xu, Antonios Makropoulos, Adrien E. Desjardins, Tom Vercauteren:
Fetal, Infant and Ophthalmic Medical Image Analysis - International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10554, Springer 2017, ISBN 978-3-319-67560-2 [contents] - 2016
- [j7]Andrew Melbourne, Nicolas Toussaint, David Owen, Ivor J. A. Simpson, Thanasis Anthopoulos, Enrico De Vita, David Atkinson, Sébastien Ourselin:
NiftyFit: a Software Package for Multi-parametric Model-Fitting of 4D Magnetic Resonance Imaging Data. Neuroinformatics 14(3): 319-337 (2016) - [c23]Eliza Orasanu, Pierre-Louis Bazin, Andrew Melbourne, Marco Lorenzi, Hervé Lombaert, Nicola J. Robertson, Giles S. Kendall, Nikolaus Weiskopf, Neil Marlow, Sébastien Ourselin:
Longitudinal Analysis of the Preterm Cortex Using Multi-modal Spectral Matching. MICCAI (1) 2016: 255-263 - [c22]Catherine J. Scott, Jieqing Jiao, Andrew Melbourne, Jonathan M. Schott, Brian F. Hutton, Sébastien Ourselin:
ASL-incorporated Pharmacokinetic Modelling of PET Data With Reduced Acquisition Time: Application to Amyloid Imaging. MICCAI (3) 2016: 406-413 - [c21]David Owen, Andrew Melbourne, David Thomas, Enrico De Vita, Jonathan D. Rohrer, Sébastien Ourselin:
Optimisation of Arterial Spin Labelling Using Bayesian Experimental Design. MICCAI (3) 2016: 511-518 - [c20]Zach Eaton-Rosen, Andrew Melbourne, M. Jorge Cardoso, Neil Marlow, Sébastien Ourselin:
Beyond the Resolution Limit: Diffusion Parameter Estimation in Partial Volume. MICCAI (3) 2016: 605-612 - [c19]Zach Eaton-Rosen, Manuel Jorge Cardoso, Andrew Melbourne, Eliza Orasanu, Alan Bainbridge, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
Fitting parametric models of diffusion MRI in regions of partial volume. Image Processing 2016: 97843E - 2015
- [j6]Ivana Isgum, Manon J. N. L. Benders, Brian B. Avants, Manuel Jorge Cardoso, Serena J. Counsell, Elda Fischi Gomez, Laura Gui, Petra S. Hüppi, Karina J. Kersbergen, Antonios Makropoulos, Andrew Melbourne, Pim Moeskops, Christian P. Mol, Maria Kuklisova-Murgasova, Daniel Rueckert, Julia A. Schnabel, Vedran Srhoj-Egekher, Jue Wu, Siying Wang, Linda S. de Vries, Max A. Viergever:
Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge. Medical Image Anal. 20(1): 135-151 (2015) - [j5]Zach Eaton-Rosen, Andrew Melbourne, Eliza Orasanu, Manuel Jorge Cardoso, Marc Modat, Alan Bainbridge, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI. NeuroImage 111: 580-589 (2015) - [j4]Manuel Jorge Cardoso, Marc Modat, Robin Wolz, Andrew Melbourne, David M. Cash, Daniel Rueckert, Sébastien Ourselin:
Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion. IEEE Trans. Medical Imaging 34(9): 1976-1988 (2015) - [c18]Andrew Melbourne, Zach Eaton-Rosen, David Owen, M. Jorge Cardoso, Joanne Beckmann, David Atkinson, Neil Marlow, Sébastien Ourselin:
Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI. MICCAI (3) 2015: 72-79 - 2014
- [j3]Valentin Hamy, Nikolaos Dikaios, Shonit Punwani, Andrew Melbourne, Arash Latifoltojar, Jesica Makanyanga, Manil Chouhan, Emma Helbren, Alex Menys, Stuart Taylor, David Atkinson:
Respiratory motion correction in dynamic MRI using robust data decomposition registration - Application to DCE-MRI. Medical Image Anal. 18(2): 301-313 (2014) - [j2]Andrew Melbourne, Giles S. Kendall, Manuel Jorge Cardoso, Roxanna Gunney, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
Preterm birth affects the developmental synergy between cortical folding and cortical connectivity observed on multimodal MRI. NeuroImage 89: 23-34 (2014) - [c17]Eliza Orasanu, Andrew Melbourne, Herve Lombaert, Manuel Jorge Cardoso, Stian Flage Johnsen, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
Prefrontal Cortical Folding of the Preterm Brain: A Longitudinal Analysis of Preterm-Born Neonates. STIA 2014: 3-12 - [c16]Andrew Melbourne, Zach Eaton-Rosen, Enrico De Vita, Alan Bainbridge, Manuel Jorge Cardoso, David Price, Ernest Cady, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
Multi-modal Measurement of the Myelin-to-Axon Diameter g-ratio in Preterm-born Neonates and Adult Controls. MICCAI (2) 2014: 268-275 - [c15]Zach Eaton-Rosen, Andrew Melbourne, Eliza Orasanu, Marc Modat, Manuel Jorge Cardoso, Alan Bainbridge, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
Longitudinal Measurement of the Developing Thalamus in the Preterm Brain Using Multi-modal MRI. MICCAI (2) 2014: 276-283 - [c14]Valentin Hamy, Marc Modat, Rebecca Shipley, Nikolaos Dikaios, Jon O. Cleary, Shonit Punwani, Sébastien Ourselin, David Atkinson, Andrew Melbourne:
Multi-modal pharmacokinetic modelling for DCE-MRI: using diffusion weighted imaging to constrain the local arterial input function. Image Processing 2014: 90340R - 2013
- [j1]Manuel Jorge Cardoso, Andrew Melbourne, Giles S. Kendall, Marc Modat, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
AdaPT: An adaptive preterm segmentation algorithm for neonatal brain MRI. NeuroImage 65: 97-108 (2013) - [c13]Clarissa C. Garvey, Nathan D. Cahill, Andrew Melbourne, Christine Tanner, Sébastien Ourselin, David J. Hawkes:
Nonrigid image registration with two-sided space-fractional partial differential equations. ICIP 2013: 747-751 - [c12]Andrew Melbourne, Zach Eaton-Rosen, Alan Bainbridge, Giles S. Kendall, Manuel Jorge Cardoso, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
Measurement of Myelin in the Preterm Brain: Multi-compartment Diffusion Imaging and Multi-component T2 Relaxometry. MICCAI (2) 2013: 336-344 - 2012
- [c11]Andrew Melbourne, Giles S. Kendall, Manuel Jorge Cardoso, Roxanna Gunney, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
Radial Structure in the Preterm Cortex; Persistence of the Preterm Phenotype at Term Equivalent Age? MICCAI (3) 2012: 256-263 - [c10]David M. Cash, Andrew Melbourne, Marc Modat, Manuel Jorge Cardoso, Matthew J. Clarkson, Nick C. Fox, Sébastien Ourselin:
Cortical Folding Analysis on Patients with Alzheimer's Disease and Mild Cognitive Impairment. MICCAI (3) 2012: 289-296 - [c9]Andrew Melbourne, Nathan D. Cahill, Christine Tanner, Marc Modat, David J. Hawkes, Sébastien Ourselin:
Using fractional gradient information in non-rigid image registration: application to breast MRI. Image Processing 2012: 83141Z - 2011
- [c8]Andrew Melbourne, Nathan D. Cahill, Christine Tanner, David J. Hawkes:
Image registration using an extendable quadratic regulariser. ISBI 2011: 557-560 - [c7]Y. Jafar, John H. Hipwell, Christine Tanner, Andrew Melbourne, David J. Hawkes:
Discretisation of 3D deformation fields: Implications for establishing correspondence between 2D X-ray mammographic projections. ISBI 2011: 1998-2001 - [c6]Manuel Jorge Cardoso, Andrew Melbourne, Giles S. Kendall, Marc Modat, Cornelia F. Hagmann, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
Adaptive Neonate Brain Segmentation. MICCAI (3) 2011: 378-386 - 2010
- [c5]Andrew Melbourne, David J. Hawkes, David Atkinson:
Data driven groupwise registration of diffusion weighted images. ISBI 2010: 352-355 - [c4]Andrew Melbourne, John H. Hipwell, David J. Hawkes:
The Effect of Motion Correction on Pharmacokinetic Parameter Estimation. Digital Mammography / IWDM 2010: 744-751 - [c3]Andrew Melbourne, Gerard R. Ridgway, David J. Hawkes:
Image similarity metrics in image registration. Image Processing 2010: 762335
2000 – 2009
- 2009
- [c2]Andrew Melbourne, David J. Hawkes, David Atkinson:
Image Registration Using Uncertainty Coefficients. ISBI 2009: 951-954 - 2008
- [c1]Andrew Melbourne, David Atkinson, David J. Hawkes:
Influence of Organ Motion and Contrast Enhancement on Image Registration. MICCAI (2) 2008: 948-955
Coauthor Index
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