Publications by authors named "Timo M Deist"

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Distributed learning on 20 000+ lung cancer patients - The Personal Health Train.
Timo M Deist, Frank J W M Dankers, Priyanka Ojha, M Scott Marshall, Tomas Janssen

Radiother Oncol· March 2020

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Privacy-preserving distributed learning of radiomics to predict overall survival and HPV status in head and neck cancer.
Marta Bogowicz, Arthur Jochems, Timo M Deist, Stephanie Tanadini-Lang, Shao Hui Huang

Sci Rep· March 2020

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Simulation-assisted machine learning.
Timo M Deist, Andrew Patti, Zhaoqi Wang, David Krane, Taylor Sorenson

Bioinformatics· October 2019

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Distributed radiomics as a signature validation study using the Personal Health Train infrastructure.
Zhenwei Shi, Ivan Zhovannik, Alberto Traverso, Frank J W M Dankers, Timo M Deist

Sci Data· October 2019

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Erratum: "Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers" [Med. Phys. 45 (7), 3449-3459 (2018)].
Timo M Deist, Frank J W M Dankers, Gilmer Valdes, Robin Wijsman, I-Chow Hsu

Med Phys· February 2019

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Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
Timo M Deist, Frank J W M Dankers, Gilmer Valdes, Robin Wijsman, I-Chow Hsu

Med Phys· July 2018

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Radiomics: the bridge between medical imaging and personalized medicine.
Philippe Lambin, Ralph T H Leijenaar, Timo M Deist, Jurgen Peerlings, Evelyn E C de Jong

Nat Rev Clin Oncol· December 2017

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Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries.
Arthur Jochems, Timo M Deist, Issam El Naqa, Marc Kessler, Chuck Mayo

Int J Radiat Oncol Biol Phys· October 2017

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Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT.
Timo M Deist, A Jochems, Johan van Soest, Georgi Nalbantov, Cary Oberije

Clin Transl Radiat Oncol· June 2017

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Decision support systems for personalized and participative radiation oncology.
Philippe Lambin, Jaap Zindler, Ben G L Vanneste, Lien Van De Voorde, Daniëlle Eekers, Timo M Deist

Adv Drug Deliv Rev· January 2017

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Distributed learning: Developing a predictive model based on data from multiple hospitals without data leaving the hospital - A real life proof of concept.
Arthur Jochems, Timo M Deist, Johan van Soest, Michael Eble, Paul Bulens

Radiother Oncol· December 2016

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Modern clinical research: How rapid learning health care and cohort multiple randomised clinical trials complement traditional evidence based medicine.
Philippe Lambin, Jaap Zindler, Ben Vanneste, Lien van de Voorde, Maria Jacobs, Timo M Deist

Acta Oncol· August 2016

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TESS3: fast inference of spatial population structure and genome scans for selection.
Kevin Caye, Timo M Deist, Helena Martins, Olivier Michel, Olivier François

Mol Ecol Resour· March 2016

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