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Timo M Deist

Showing results (1-10 of 13) with videos related to

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Molecular Ecology Resources|September 30, 2015
TESS3: fast inference of spatial population structure and genome scans for selectionKevin Caye, Timo M Deist, Helena Martins, et al.
Bioinformatics (Oxford, England)|March 24, 2019
Simulation-assisted machine learningTimo 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 conceptArthur 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: euroCATTimo 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 infrastructureZhenwei 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 CountriesArthur 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 TrainTimo 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 classifiersTimo 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 medicinePhilippe Lambin, Ralph T H Leijenaar, Timo M Deist, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Molecular Ecology Resources|September 30, 2015
TESS3: fast inference of spatial population structure and genome scans for selectionKevin Caye, Timo M Deist, Helena Martins, et al.
Bioinformatics (Oxford, England)|March 24, 2019
Simulation-assisted machine learningTimo 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 conceptArthur 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: euroCATTimo 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 infrastructureZhenwei 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 CountriesArthur 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 TrainTimo 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 classifiersTimo 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 medicinePhilippe Lambin, Ralph T H Leijenaar, Timo M Deist, et al.
Pageof 2