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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

1

Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks by Liang Chen, Paul Bentley, Daniel Rueckert

Published 2017-01-01

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2

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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3

Privacy: An Axiomatic Approach by Alexander Ziller, Tamara T. Mueller, Rickmer Braren, Daniel Rueckert, Georgios Kaissis

Published 2022-05-01

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4

A Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index by Georgios Kaissis, Moritz Knolle, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Daniel Rueckert

Published 2022-07-01

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5

Medical imaging deep learning with differential privacy by Alexander Ziller, Dmitrii Usynin, Rickmer Braren, Marcus Makowski, Daniel Rueckert, Georgios Kaissis

Published 2021-06-01

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6

A Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index by Georgios Kaissis, Moritz Knolle, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Daniel Rueckert

Published 2022-07-01

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7

Digitalising the past decades: automated ICD-10 coding of unstructured free text dermatological diagnoses by Sebastian Sitaru, Fabian Nhan, Christine Gasteiger, Daniel Rueckert, Tilo Biedermann, Alexander Zink

Published 2024-10-01

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8

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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9

Transformer models in biomedicine by Sumit Madan, Manuel Lentzen, Johannes Brandt, Daniel Rueckert, Martin Hofmann-Apitius, Holger Fröhlich

Published 2024-07-01

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10

Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results by Tamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Rickmer Braren, Daniel Rueckert, Georgios Kaissis

Published 2024-02-01

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11

Machine learning in cardiovascular magnetic resonance: basic concepts and applications by Tim Leiner, Daniel Rueckert, Avan Suinesiaputra, Bettina Baeßler, Reza Nezafat, Ivana Išgum, Alistair A. Young

Published 2019-10-01

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12

Efficient, high-performance semantic segmentation using multi-scale feature extraction. by Moritz Knolle, Georgios Kaissis, Friederike Jungmann, Sebastian Ziegelmayer, Daniel Sasse, Marcus Makowski, Daniel Rueckert, Rickmer Braren

Published 2021-01-01

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13

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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14

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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15

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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16

Learning Biomarker Models for Progression Estimation of Alzheimer's Disease. by Alexander Schmidt-Richberg, Christian Ledig, Ricardo Guerrero, Helena Molina-Abril, Alejandro Frangi, Daniel Rueckert, Alzheimer’s Disease Neuroimaging Initiative

Published 2016-01-01

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17

Using UK Biobank data to establish population-specific atlases from whole body MRI by Sophie Starck, Vasiliki Sideri-Lampretsa, Jessica J. M. Ritter, Veronika A. Zimmer, Rickmer Braren, Tamara T. Mueller, Daniel Rueckert

Published 2024-11-01

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18

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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19

Deep Learning for Cardiac Image Segmentation: A Review by Chen Chen, Chen Qin, Huaqi Qiu, Giacomo Tarroni, Giacomo Tarroni, Jinming Duan, Wenjia Bai, Wenjia Bai, Daniel Rueckert

Published 2020-03-01

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20

A deep learning method for replicate-based analysis of chromosome conformation contacts using Siamese neural networks by Ediem Al-jibury, James W. D. King, Ya Guo, Boris Lenhard, Amanda G. Fisher, Matthias Merkenschlager, Daniel Rueckert

Published 2023-08-01

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