M. Rajchl, M.C.H. Lee, O. Oktay, K. Kamnitsas, J. Passerat-Palmbach, W. Bai, B. Kainz, D. Rueckert

Publication Year

2016


Amir Alansary, Bernhard Kainz*, Martin Rajchl, Maria Murgasova, Mellisa Damodaram, David F.A. Lloyd, Alice Davidson, Steven G. McDonagh, Mary Rutherford, Joseph V. Hajnal, Daniel Rueckert

Publication Year

2016


Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Sandra Smith, Bernhard Kainz, Daniel Rueckert

Publication Year

"2016"


Amir Alansary, Konstantinos Kamnitsas, Alice Davidson, Rostislav Khlebnikov, Martin Rajchl, Christina Malamateniou, Mary Rutherford, Joseph V Hajnal, Ben Glocker, Daniel Rueckert, others

People
Publication Year

2016


David Lloyd, Bernhard Kainz, Joshua F van Amerom, Maelene Lohezic, Kuberan Pushparajah, John M Simpson, Christina Malamateniou, Joseph V Hajnal, Mary Rutherford, Reza Razavi

Publication Year

2016


Daniel Rueckert, Ben Glocker, Bernhard Kainz

Abstract
"Abstract Over the last decade, research in medical imaging has made significant progress in addressing challenging tasks such as image registration and image segmentation. In particular, the use of model-based approaches has been key in numerous, successful advances in methodology. The advantage of model-based approaches is that they allow the incorporation of prior knowledge acting as a regularisation that favours plausible solutions over implausible ones. More recently, medical imaging has moved away from hand-crafted, and often explicitly designed models towards data-driven, implicit models that are constructed using machine learning techniques. This has led to major improvements in all stages of the medical imaging pipeline, from acquisition and reconstruction to analysis and interpretation. As more and more imaging data is becoming available, e.g., from large population studies, this trend is likely to continue and accelerate. At the same time new developments in machine learning, e.g., deep learning, as well as significant improvements in computing power, e.g., parallelisation on graphics hardware, offer new potential for data-driven, semantic and intelligent medical imaging. This article outlines the work of the BioMedIA group in this area and highlights some of the challenges and opportunities for future work. "
Publication Year

"2016"


Bernhard Kainz, David F.A. Lloyd, Amir Alansary, Maria Kuklisova Murgasova, Rostislav Khlebnikov, Daniel Rueckert, Mary Rutherford, Reza Razavi, Jo V. Hajnal

Publication Year

2016


Konstantinos Kamnitsas, Christian Ledig, Virginia FJ Newcombe, Joanna P Simpson, Andrew D Kane, David K Menon, Daniel Rueckert, Ben Glocker

Martin Rajchl, Matthew CH Lee, Franklin Schrans, Alice Davidson, Jonathan Passerat-Palmbach, Giacomo Tarroni, Amir Alansary, Ozan Oktay, Bernhard Kainz, Daniel Rueckert

People
Publication Year

2016


Ben Glocker, Nikos Paragios, Ramin Zabih

People
Publication Year

2016