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Molecular Ecology Resources
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September 30, 2015
TESS3: fast inference of spatial population structure and genome scans for selection
Kevin Caye, Timo M Deist, Helena Martins, et al.
Bioinformatics (Oxford, England)
|
March 24, 2019
Simulation-assisted machine learning
Timo M Deist, Andrew Patti, Zhaoqi Wang, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
December 29, 2016
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, et al.
Clinical and Translational Radiation Oncology
|
March 30, 2018
Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT
Timo M Deist, A Jochems, Johan van Soest, et al.
Scientific Data
|
October 24, 2019
Distributed radiomics as a signature validation study using the Personal Health Train infrastructure
Zhenwei Shi, Ivan Zhovannik, Alberto Traverso, et al.
International Journal of Radiation Oncology, Biology, Physics
|
September 6, 2017
Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries
Arthur Jochems, Timo M Deist, Issam El Naqa, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
January 9, 2020
Distributed learning on 20 000+ lung cancer patients - The Personal Health Train
Timo M Deist, Frank J W M Dankers, Priyanka Ojha, et al.
Medical Physics
|
February 8, 2019
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, et al.
Medical Physics
|
May 16, 2018
Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers
Timo M Deist, Frank J W M Dankers, Gilmer Valdes, et al.
Nature Reviews. Clinical Oncology
|
October 5, 2017
Radiomics: the bridge between medical imaging and personalized medicine
Philippe Lambin, Ralph T H Leijenaar, Timo M Deist, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
Molecular Ecology Resources
|
September 30, 2015
TESS3: fast inference of spatial population structure and genome scans for selection
Kevin Caye, Timo M Deist, Helena Martins, et al.
Bioinformatics (Oxford, England)
|
March 24, 2019
Simulation-assisted machine learning
Timo M Deist, Andrew Patti, Zhaoqi Wang, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
December 29, 2016
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, et al.
Clinical and Translational Radiation Oncology
|
March 30, 2018
Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT
Timo M Deist, A Jochems, Johan van Soest, et al.
Scientific Data
|
October 24, 2019
Distributed radiomics as a signature validation study using the Personal Health Train infrastructure
Zhenwei Shi, Ivan Zhovannik, Alberto Traverso, et al.
International Journal of Radiation Oncology, Biology, Physics
|
September 6, 2017
Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries
Arthur Jochems, Timo M Deist, Issam El Naqa, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
January 9, 2020
Distributed learning on 20 000+ lung cancer patients - The Personal Health Train
Timo M Deist, Frank J W M Dankers, Priyanka Ojha, et al.
Medical Physics
|
February 8, 2019
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, et al.
Medical Physics
|
May 16, 2018
Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers
Timo M Deist, Frank J W M Dankers, Gilmer Valdes, et al.
Nature Reviews. Clinical Oncology
|
October 5, 2017
Radiomics: the bridge between medical imaging and personalized medicine
Philippe Lambin, Ralph T H Leijenaar, Timo M Deist, et al.
Page
of 2