Daniel Rueckert is affiliated with the Technical University of Munich in Germany, focusing primarily on research at the intersection of medicine and computer science. Their work encompasses various subfields including radiology, nuclear medicine and imaging, artificial intelligence, computer vision and pattern recognition, pediatrics, perinatology and child health, as well as biomedical engineering.
Their research topics cover a range of areas in medical imaging and analysis, notably:
Recent publications demonstrate engagement with both methodological advances and clinical applications. Notable papers include:
The scientist frequently collaborates with other researchers, including Georgios Kaissis, Kerstin Hammernik, Joseph V. Hajnal, Benedikt Wiestler, and Wenjia Bai. These coauthors appear regularly across their body of work.
Publication venues for their research include:
In terms of book contributions, Daniel Rueckert has authored works published by Springer Science+Business Media and IntechOpen. Titles include "Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning" (2021) and "Gamification - Analysis, Design, Development and Ludification" (2022).
Awards received include recognition as an IEEE Fellow in 2016 for contributions to biomedical image computing, Fellow of the Royal Academy of Engineering (UK) in 2015, and Fellowship of The Academy of Medical Sciences, United Kingdom.
S M Smith;M Jenkinson;H Johansen-Berg;D Rueckert
Wenzhe Shi;Jose Caballero;Ferenc Huszar;Johannes Totz
D. Rueckert;L.I. Sonoda;C. Hayes;D.L.G. Hill
Ozan Oktay;Jo Schlemper;Loïc Le Folgoc;Matthew C. H. Lee
Konstantinos Kamnitsas;Christian Ledig;Virginia F.J. Newcombe;Joanna P. Simpson
Arno Klein;Jesper L. R. Andersson;Babak A. Ardekani;Babak A. Ardekani;John Ashburner
Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer
Jo Schlemper;Ozan Oktay;Michiel Schaap;Mattias P. Heinrich
S. Kevin Zhou;Hayit Greenspan;Christos Davatzikos;James S. Duncan
Jo Schlemper;Jose Caballero;Joseph V. Hajnal;Anthony N. Price
Paul Aljabar;Rolf A. Heckemann;Alexander Hammers;Joseph V. Hajnal
Rolf A. Heckemann;Joseph V. Hajnal;Paul Aljabar;Daniel Rueckert
Chen Chen;Chen Qin;Huaqi Qiu;Giacomo Tarroni;Giacomo Tarroni
G Z Yang;D Hawkes;D Rueckert;J A Noble
Ozan Oktay;Enzo Ferrante;Konstantinos Kamnitsas;Mattias Heinrich
Wenjia Bai;Matthew Sinclair;Giacomo Tarroni;Ozan Oktay
Georgios A. Kaissis;Georgios A. Kaissis;Marcus R. Makowski;Daniel Rückert;Rickmer F. Braren
Sarah Parisot;Sofia Ira Ktena;Enzo Ferrante;Matthew C. H. Lee
Stephen M Smith;Heidi Johansen-Berg;Mark Jenkinson;Daniel Rueckert
Chen Qin;Jo Schlemper;Jose Caballero;Anthony N. Price
D. Rueckert;A.F. Frangi;J.A. Schnabel
Antonios Makropoulos;Emma C. Robinson;Emma C. Robinson;Andreas Schuh;Robert Wright
Liang Chen;Paul Bentley;Kensaku Mori;Kazunari Misawa
A.F. Frangi;D. Rueckert;J.A. Schnabel;W.J. Niessen
Ozan Oktay;Enzo Ferrante;Konstantinos Kamnitsas;Mattias Heinrich
If you think any of the details on this page are incorrect, let us know.
Exploring online degree options can open new doors for students interested in computer science. Many learners start their journey with an associate degree online, a flexible and affordable entry point leading to diverse IT careers or seamless transfer to a bachelor’s program.
For those seeking to advance quickly, the shortest master degree programs offer accelerated paths to specialized knowledge and higher earning potential. Popular choices in the USA include computing, data science, cybersecurity, and AI-related fields.
Choosing the right master’s program is key to future job prospects. Discover which master's degree is most in demand in usa to align your qualification with current industry needs. This ensures strong employability and a rewarding career pathway.
Affordability is a major concern for many students. Consider the options at cheap online degrees fast to obtain a quality education without financial strain. By researching and comparing programs, you can find affordable, accredited degrees tailored to your ambitions in computer science.
French Institute for Research in Computer Science and Automation - INRIA
Publications: 96
Keio University
University of Manitoba
Universität Hamburg
University of California, San Francisco
Los Alamos National Laboratory
University of Bern
National Environmental Engineering Research Institute
Vanderbilt University
Sapienza University of Rome
University of Utah
Technical University of Denmark
Centre national de la recherche scientifique, CNRS
Soochow University
Georgia Institute of Technology
Osaka University
Federal University of Paraná