Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Johan van Soest

Showing results (41-50 of 63) with videos related to

Pageof 7
Sort By:
BJR Artificial Intelligence|May 1, 2026
Making head and neck cancer clinical data Findable-Accessible-Interoperable-Reusable to support multi-institutional collaboration and federated learningVarsha Gouthamchand, Ananya Choudhury, Frank J P Hoebers, et al.
Physics and Imaging in Radiation Oncology|September 26, 2022
Independent validation of a dysphagia dose response model for the selection of head and neck cancer patients to proton therapyPetros Kalendralis, Matthijs Sloep, Nibin Moni George, et al.
La Radiologia Medica|December 13, 2017
Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancerDavide Cusumano, Nicola Dinapoli, Luca Boldrini, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 23, 2020
Timing to achieve the highest rate of pCR after preoperative radiochemotherapy in rectal cancer: a pooled analysis of 3085 patients from 7 randomized trialsMaria Antonietta Gambacorta, Carlotta Masciocchi, Giuditta Chiloiro, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|March 23, 2021
Predicting outcomes in anal cancer patients using multi-centre data and distributed learning - A proof-of-concept studyAnanya Choudhury, Stelios Theophanous, Per-Ivar Lønne, et al.
Technical Innovations & Patient Support in Radiation Oncology|August 27, 2024
The value of PROMs for predicting erectile dysfunction in prostate cancer patients with Bayesian networkBiche Osong, Hajar Hasannejadasl, Henk van der Poel, et al.
Studies in Health Technology and Informatics|August 24, 2019
A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned ScenarioChang Sun, Lianne Ippel, Johan van Soest, et al.
Cancers|June 28, 2023
pCR and 2-Year Disease-Free Survival: A Combination of the Two Endpoints as a New Classification for Locally Advanced Rectal Cancer Patients-An Updated Pooled Analysis of Eleven International Randomized TrialsMaria Antonietta Gambacorta, Giuditta Chiloiro, Carlotta Masciocchi, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|March 1, 2016
Development and evaluation of an online three-level proton vs photon decision support prototype for head and neck cancer - Comparison of dose, toxicity and cost-effectivenessQing Cheng, Erik Roelofs, Bram L T Ramaekers, et al.
Frontiers in Oncology|March 17, 2023
Automatic quality assurance of radiotherapy treatment plans using Bayesian networks: A multi-institutional studyPetros Kalendralis, Samuel M H Luk, Richard Canters, et al.
Pageof 7

Showing results (41-50 of 63) with videos related to

Sort By:
Pageof 7
BJR Artificial Intelligence|May 1, 2026
Making head and neck cancer clinical data Findable-Accessible-Interoperable-Reusable to support multi-institutional collaboration and federated learningVarsha Gouthamchand, Ananya Choudhury, Frank J P Hoebers, et al.
Physics and Imaging in Radiation Oncology|September 26, 2022
Independent validation of a dysphagia dose response model for the selection of head and neck cancer patients to proton therapyPetros Kalendralis, Matthijs Sloep, Nibin Moni George, et al.
La Radiologia Medica|December 13, 2017
Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancerDavide Cusumano, Nicola Dinapoli, Luca Boldrini, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 23, 2020
Timing to achieve the highest rate of pCR after preoperative radiochemotherapy in rectal cancer: a pooled analysis of 3085 patients from 7 randomized trialsMaria Antonietta Gambacorta, Carlotta Masciocchi, Giuditta Chiloiro, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|March 23, 2021
Predicting outcomes in anal cancer patients using multi-centre data and distributed learning - A proof-of-concept studyAnanya Choudhury, Stelios Theophanous, Per-Ivar Lønne, et al.
Technical Innovations & Patient Support in Radiation Oncology|August 27, 2024
The value of PROMs for predicting erectile dysfunction in prostate cancer patients with Bayesian networkBiche Osong, Hajar Hasannejadasl, Henk van der Poel, et al.
Studies in Health Technology and Informatics|August 24, 2019
A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned ScenarioChang Sun, Lianne Ippel, Johan van Soest, et al.
Cancers|June 28, 2023
pCR and 2-Year Disease-Free Survival: A Combination of the Two Endpoints as a New Classification for Locally Advanced Rectal Cancer Patients-An Updated Pooled Analysis of Eleven International Randomized TrialsMaria Antonietta Gambacorta, Giuditta Chiloiro, Carlotta Masciocchi, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|March 1, 2016
Development and evaluation of an online three-level proton vs photon decision support prototype for head and neck cancer - Comparison of dose, toxicity and cost-effectivenessQing Cheng, Erik Roelofs, Bram L T Ramaekers, et al.
Frontiers in Oncology|March 17, 2023
Automatic quality assurance of radiotherapy treatment plans using Bayesian networks: A multi-institutional studyPetros Kalendralis, Samuel M H Luk, Richard Canters, et al.
Pageof 7