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Cecile J A Wolfs

Showing results (1-10 of 16) with videos related to

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Physics and Imaging in Radiation Oncology|September 15, 2022
What is the optimal input information for deep learning-based pre-treatment error identification in radiotherapy?Cecile J A Wolfs, Frank Verhaegen
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|October 4, 2020
Identification of treatment error types for lung cancer patients using convolutional neural networks and EPID dosimetryCecile J A Wolfs, Richard A M Canters, Frank Verhaegen
Physics in Medicine and Biology|December 13, 2023
A 3D transfer learning approach for identifying multiple simultaneous errors during radiotherapyKars van den Berg, Cecile J A Wolfs, Frank Verhaegen
Physics in Medicine and Biology|August 8, 2022
A novel multichannel deep learning model for fast denoising of Monte Carlo dose calculations: preclinical applicationsRobert H W van Dijk, Nick Staut, Cecile J A Wolfs, et al.
Physics in Medicine and Biology|July 31, 2024
Turning the attention to time-resolved EPID-images: treatment error classification with transformer multiple instance learningViacheslav Iarkin, Evelyn E C de Jong, Rutger Hendrix, et al.
Physics in Medicine and Biology|November 28, 2017
Validation and uncertainty analysis of a pre-treatment 2D dose prediction modelJose A Baeza, Cecile J A Wolfs, Sebastiaan M J J G Nijsten, et al.
Physics in Medicine and Biology|September 22, 2018
Should dose from small fields be limited for dose verification procedures?: uncertainty versus small field dose in VMAT treatmentsCecile J A Wolfs, Ans C C Swinnen, Sebastiaan M J J G Nijsten, et al.
Physics in Medicine and Biology|June 29, 2023
A deep-learning assisted bioluminescence tomography method to enable radiation targeting in rat glioblastomaBehzad Rezaeifar, Cecile J A Wolfs, Natasja G Lieuwes, et al.
Physics in Medicine and Biology|June 17, 2022
A deep learning and Monte Carlo based framework for bioluminescence imaging center of mass-guided glioblastoma targetingBehzad Rezaeifar, Cecile J A Wolfs, Natasja G Lieuwes, et al.
Physics and Imaging in Radiation Oncology|February 3, 2022
Inter-observer variability of organ contouring for preclinical studies with cone beam Computed Tomography imagingGeorgios Lappas, Nick Staut, Natasja G Lieuwes, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Physics and Imaging in Radiation Oncology|September 15, 2022
What is the optimal input information for deep learning-based pre-treatment error identification in radiotherapy?Cecile J A Wolfs, Frank Verhaegen
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|October 4, 2020
Identification of treatment error types for lung cancer patients using convolutional neural networks and EPID dosimetryCecile J A Wolfs, Richard A M Canters, Frank Verhaegen
Physics in Medicine and Biology|December 13, 2023
A 3D transfer learning approach for identifying multiple simultaneous errors during radiotherapyKars van den Berg, Cecile J A Wolfs, Frank Verhaegen
Physics in Medicine and Biology|August 8, 2022
A novel multichannel deep learning model for fast denoising of Monte Carlo dose calculations: preclinical applicationsRobert H W van Dijk, Nick Staut, Cecile J A Wolfs, et al.
Physics in Medicine and Biology|July 31, 2024
Turning the attention to time-resolved EPID-images: treatment error classification with transformer multiple instance learningViacheslav Iarkin, Evelyn E C de Jong, Rutger Hendrix, et al.
Physics in Medicine and Biology|November 28, 2017
Validation and uncertainty analysis of a pre-treatment 2D dose prediction modelJose A Baeza, Cecile J A Wolfs, Sebastiaan M J J G Nijsten, et al.
Physics in Medicine and Biology|September 22, 2018
Should dose from small fields be limited for dose verification procedures?: uncertainty versus small field dose in VMAT treatmentsCecile J A Wolfs, Ans C C Swinnen, Sebastiaan M J J G Nijsten, et al.
Physics in Medicine and Biology|June 29, 2023
A deep-learning assisted bioluminescence tomography method to enable radiation targeting in rat glioblastomaBehzad Rezaeifar, Cecile J A Wolfs, Natasja G Lieuwes, et al.
Physics in Medicine and Biology|June 17, 2022
A deep learning and Monte Carlo based framework for bioluminescence imaging center of mass-guided glioblastoma targetingBehzad Rezaeifar, Cecile J A Wolfs, Natasja G Lieuwes, et al.
Physics and Imaging in Radiation Oncology|February 3, 2022
Inter-observer variability of organ contouring for preclinical studies with cone beam Computed Tomography imagingGeorgios Lappas, Nick Staut, Natasja G Lieuwes, et al.
Pageof 2