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Medical Physics
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June 11, 2020
FAIR-compliant clinical, radiomics and DICOM metadata of RIDER, interobserver, Lung1 and head-Neck1 TCIA collections
Petros Kalendralis, Zhenwei Shi, Alberto Traverso, et al.
BMC Medical Informatics and Decision Making
|
June 27, 2024
Operationalizing and digitizing person-centered daily functioning: a case for functionomics
Esther R C Janssen, Ilona M Punt, Johan van Soest, et al.
JCO Clinical Cancer Informatics
|
January 14, 2026
Knowledge Representation of a Multicenter Adolescent and Young Adult Cancer Infrastructure: Development of the STRONG AYA Knowledge Graph
Joshi Hogenboom, Varsha Gouthamchand, Charlotte Cairns, 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.
Medical Physics
|
September 20, 2018
Comparative evaluation of autocontouring in clinical practice: A practical method using the Turing test
Mark J Gooding, Annamarie J Smith, Maira Tariq, et al.
Physics and Imaging in Radiation Oncology
|
April 4, 2022
Bayesian network structure for predicting local tumor recurrence in rectal cancer patients treated with neoadjuvant chemoradiation followed by surgery
Biche Osong, Carlotta Masciocchi, Andrea Damiani, et al.
International Journal of Radiation Oncology, Biology, Physics
|
June 13, 2018
Magnetic Resonance, Vendor-independent, Intensity Histogram Analysis Predicting Pathologic Complete Response After Radiochemotherapy of Rectal Cancer
Nicola Dinapoli, Brunella Barbaro, Roberto Gatta, 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
|
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.
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.
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Search research articles
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Showing results (51-60 of 63) with videos related to
Sort By:
Page
of 7
Medical Physics
|
June 11, 2020
FAIR-compliant clinical, radiomics and DICOM metadata of RIDER, interobserver, Lung1 and head-Neck1 TCIA collections
Petros Kalendralis, Zhenwei Shi, Alberto Traverso, et al.
BMC Medical Informatics and Decision Making
|
June 27, 2024
Operationalizing and digitizing person-centered daily functioning: a case for functionomics
Esther R C Janssen, Ilona M Punt, Johan van Soest, et al.
JCO Clinical Cancer Informatics
|
January 14, 2026
Knowledge Representation of a Multicenter Adolescent and Young Adult Cancer Infrastructure: Development of the STRONG AYA Knowledge Graph
Joshi Hogenboom, Varsha Gouthamchand, Charlotte Cairns, 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.
Medical Physics
|
September 20, 2018
Comparative evaluation of autocontouring in clinical practice: A practical method using the Turing test
Mark J Gooding, Annamarie J Smith, Maira Tariq, et al.
Physics and Imaging in Radiation Oncology
|
April 4, 2022
Bayesian network structure for predicting local tumor recurrence in rectal cancer patients treated with neoadjuvant chemoradiation followed by surgery
Biche Osong, Carlotta Masciocchi, Andrea Damiani, et al.
International Journal of Radiation Oncology, Biology, Physics
|
June 13, 2018
Magnetic Resonance, Vendor-independent, Intensity Histogram Analysis Predicting Pathologic Complete Response After Radiochemotherapy of Rectal Cancer
Nicola Dinapoli, Brunella Barbaro, Roberto Gatta, 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
|
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.
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.
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of 7