Daniel Rueckert

Daniel Rueckert (born January 1969) is professor of visual information processing and former head of the Department of Computing at Imperial College London.

He received a diploma in computer science from Technische Universität Berlin and a PhD in computer science from Imperial College London entitled ''Segmentation and tracking in cardiovascular images using geometrically deformable models and templates''.

He is a Fellow of the Royal Academy of Engineering, a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), and a Fellow of the Academy of Medical Sciences.

He has an h-index of 111.

Since May 2023, Rueckert is a director of the Munich Center for Machine Learning. He was elected a Fellow of the Royal Society in 2025. In 2025, he received the Gottfried Wilhelm Leibniz Prize. Provided by Wikipedia
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  1. 1
    Evaluating normative representation learning in generative AI for robust anomaly detection in brain imaging

    Evaluating normative representation learning in generative AI for robust anomaly detection in brain imaging by Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel

    Published 2025-02-01
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  2. 2
    The Use of Artificial Intelligence and Wearable Inertial Measurement Units in Medicine: Systematic Review

    The Use of Artificial Intelligence and Wearable Inertial Measurement Units in Medicine: Systematic Review by Ricardo Smits Serena, Florian Hinterwimmer, Rainer Burgkart, Rudiger von Eisenhart-Rothe, Daniel Rueckert

    Published 2025-01-01
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  3. 3
    AI-driven preclinical disease risk assessment using imaging in UK biobank

    AI-driven preclinical disease risk assessment using imaging in UK biobank by Dmitrii Seletkov, Sophie Starck, Tamara T. Mueller, Yundi Zhang, Lisa Steinhelfer, Daniel Rueckert, Rickmer Braren

    Published 2025-07-01
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  4. 4
    Correction: Brain Extraction Using Label Propagation and Group Agreement: Pincram.

    Correction: Brain Extraction Using Label Propagation and Group Agreement: Pincram. by Rolf A Heckemann, Christian Ledig, Katherine R Gray, Paul Aljabar, Daniel Rueckert, Joseph V Hajnal, Alexander Hammers

    Published 2015-01-01
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  5. 5
    Testing the sensitivity of Tract-Based Spatial Statistics to simulated treatment effects in preterm neonates.

    Testing the sensitivity of Tract-Based Spatial Statistics to simulated treatment effects in preterm neonates. by Gareth Ball, James P Boardman, Tomoki Arichi, Nazakat Merchant, Daniel Rueckert, A David Edwards, Serena J Counsell

    Published 2013-01-01
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  6. 6
    Brain Extraction Using Label Propagation and Group Agreement: Pincram.

    Brain Extraction Using Label Propagation and Group Agreement: Pincram. by Rolf A Heckemann, Christian Ledig, Katherine R Gray, Paul Aljabar, Daniel Rueckert, Joseph V Hajnal, Alexander Hammers

    Published 2015-01-01
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  7. 7
    Deep learning biomarker of chronometric and biological ischemic stroke lesion age from unenhanced CT

    Deep learning biomarker of chronometric and biological ischemic stroke lesion age from unenhanced CT by Adam Marcus, Grant Mair, Liang Chen, Charles Hallett, Claudia Ghezzou Cuervas-Mons, Dylan Roi, Daniel Rueckert, Paul Bentley

    Published 2024-12-01
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  8. 8
    Classification and lateralization of temporal lobe epilepsies with and without hippocampal atrophy based on whole-brain automatic MRI segmentation.

    Classification and lateralization of temporal lobe epilepsies with and without hippocampal atrophy based on whole-brain automatic MRI segmentation. by Shiva Keihaninejad, Rolf A Heckemann, Ioannis S Gousias, Joseph V Hajnal, John S Duncan, Paul Aljabar, Daniel Rueckert, Alexander Hammers

    Published 2012-01-01
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  9. 9
    Development of the Corticospinal and Callosal Tracts from Extremely Premature Birth up to 2 Years of Age.

    Development of the Corticospinal and Callosal Tracts from Extremely Premature Birth up to 2 Years of Age. by Rodrigo M Braga, Elise Roze, Gareth Ball, Nazakat Merchant, Nora Tusor, Tomoki Arichi, David Edwards, Daniel Rueckert, Serena J Counsell

    Published 2015-01-01
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  10. 10
    Magnetic resonance imaging of the newborn brain: automatic segmentation of brain images into 50 anatomical regions.

    Magnetic resonance imaging of the newborn brain: automatic segmentation of brain images into 50 anatomical regions. by Ioannis S Gousias, Alexander Hammers, Serena J Counsell, Latha Srinivasan, Mary A Rutherford, Rolf A Heckemann, Jo V Hajnal, Daniel Rueckert, A David Edwards

    Published 2013-01-01
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  11. 11
    High-resolution 3D whole-heart bright- and black-blood imaging with co-registered T2 mapping at 0.55 T

    High-resolution 3D whole-heart bright- and black-blood imaging with co-registered T2 mapping at 0.55 T by Ivan Kokhanovskyi, Ivan Kokhanovskyi, Ivan Kokhanovskyi, Ivan Kokhanovskyi, Carlos Castillo-Passi, Carlos Castillo-Passi, Carlos Castillo-Passi, Carlos Castillo-Passi, Michael G. Crabb, Carl Ganter, Simon J. Littlewood, Karl P. Kunze, Karl P. Kunze, Dimitrios C. Karampinos, Marcus R. Makowski, Marcus R. Makowski, Daniel Rueckert, Daniel Rueckert, Claudia Prieto, Claudia Prieto, Claudia Prieto, René M. Botnar, René M. Botnar, René M. Botnar, René M. Botnar, René M. Botnar

    Published 2025-07-01
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  12. 12
    Specialized curricula for training vision language models in retinal image analysis

    Specialized curricula for training vision language models in retinal image analysis by Robbie Holland, Thomas R. P. Taylor, Christopher Holmes, Sophie Riedl, Julia Mai, Maria Patsiamanidi, Dimitra Mitsopoulou, Paul Hager, Philip Müller, Johannes C. Paetzold, Hendrik P. N. Scholl, Hrvoje Bogunović, Ursula Schmidt-Erfurth, Daniel Rueckert, Sobha Sivaprasad, Andrew J. Lotery, Martin J. Menten, On behalf of the PINNACLE consortium

    Published 2025-08-01
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