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Wouter van Elmpt

Showing results (81-90 of 161) with videos related to

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Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|May 1, 2018
A secondary analysis of FDG spatio-temporal consistency in the randomized phase II PET-boost trial in stage II-III NSCLCMatthew La Fontaine, Wouter Vogel, Judi van Diessen, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|October 17, 2012
Is high-dose stereotactic body radiotherapy (SBRT) for stage I non-small cell lung cancer (NSCLC) overkill? A systematic reviewAngela van Baardwijk, Wolfgang A Tomé, Wouter van Elmpt, et al.
Acta Oncologica (Stockholm, Sweden)|August 24, 2017
Quality assessment of positron emission tomography scans: recommendations for future multicentre trialsEvelyn E C de Jong, Wouter van Elmpt, Otto S Hoekstra, et al.
Acta Oncologica (Stockholm, Sweden)|August 30, 2017
Three-dimensional dose evaluation in breast cancer patients to define decision criteria for adaptive radiotherapyCatharina M L Zegers, Jose A Baeza, Wouter van Elmpt, et al.
Lung Cancer (Amsterdam, Netherlands)|July 26, 2011
Identification of residual metabolic-active areas within NSCLC tumours using a pre-radiotherapy FDG-PET-CT scan: a prospective validationHugo J W L Aerts, Johan Bussink, Wim J G Oyen, et al.
Biomedical Physics & Engineering Express|August 10, 2024
Deep learning with uncertainty estimation for automatic tumor segmentation in PET/CT of head and neck cancers: impact of model complexity, image processing and augmentationBao Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomic, et al.
Frontiers in Medicine|May 30, 2024
Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomicsBao Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomic, et al.
Frontiers in Medicine|September 15, 2023
Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomicsBao Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomic, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 25, 2019
Multifactorial risk factors for mortality after chemotherapy and radiotherapy for non-small cell lung cancerGilles Defraene, Frank J W M Dankers, Gareth Price, et al.
Neuro-Oncology|April 10, 2024
Predicting the risk of neurocognitive decline after brain irradiation in adult patients with a primary brain tumorFariba Tohidinezhad, Catharina M L Zegers, Femke Vaassen, et al.
Pageof 17

Showing results (81-90 of 161) with videos related to

Sort By:
Pageof 17
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|May 1, 2018
A secondary analysis of FDG spatio-temporal consistency in the randomized phase II PET-boost trial in stage II-III NSCLCMatthew La Fontaine, Wouter Vogel, Judi van Diessen, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|October 17, 2012
Is high-dose stereotactic body radiotherapy (SBRT) for stage I non-small cell lung cancer (NSCLC) overkill? A systematic reviewAngela van Baardwijk, Wolfgang A Tomé, Wouter van Elmpt, et al.
Acta Oncologica (Stockholm, Sweden)|August 24, 2017
Quality assessment of positron emission tomography scans: recommendations for future multicentre trialsEvelyn E C de Jong, Wouter van Elmpt, Otto S Hoekstra, et al.
Acta Oncologica (Stockholm, Sweden)|August 30, 2017
Three-dimensional dose evaluation in breast cancer patients to define decision criteria for adaptive radiotherapyCatharina M L Zegers, Jose A Baeza, Wouter van Elmpt, et al.
Lung Cancer (Amsterdam, Netherlands)|July 26, 2011
Identification of residual metabolic-active areas within NSCLC tumours using a pre-radiotherapy FDG-PET-CT scan: a prospective validationHugo J W L Aerts, Johan Bussink, Wim J G Oyen, et al.
Biomedical Physics & Engineering Express|August 10, 2024
Deep learning with uncertainty estimation for automatic tumor segmentation in PET/CT of head and neck cancers: impact of model complexity, image processing and augmentationBao Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomic, et al.
Frontiers in Medicine|May 30, 2024
Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomicsBao Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomic, et al.
Frontiers in Medicine|September 15, 2023
Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomicsBao Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomic, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 25, 2019
Multifactorial risk factors for mortality after chemotherapy and radiotherapy for non-small cell lung cancerGilles Defraene, Frank J W M Dankers, Gareth Price, et al.
Neuro-Oncology|April 10, 2024
Predicting the risk of neurocognitive decline after brain irradiation in adult patients with a primary brain tumorFariba Tohidinezhad, Catharina M L Zegers, Femke Vaassen, et al.
Pageof 17