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Frontiers in Oncology
|
March 21, 2018
Design and Selection of Machine Learning Methods Using Radiomics and Dosiomics for Normal Tissue Complication Probability Modeling of Xerostomia
Hubert S Gabryś, Florian Buettner, Florian Sterzing, et al.
Frontiers in Oncology
|
August 17, 2019
Incorporation of Dosimetric Gradients and Parotid Gland Migration Into Xerostomia Prediction
Rosario Astaburuaga, Hubert S Gabryś, Beatriz Sánchez-Nieto, et al.
European Journal of Radiology Open
|
September 16, 2024
Radiomics on slice-reduced versus full-chest computed tomography for diagnosis and staging of interstitial lung disease in systemic sclerosis: A comparative analysis
Anja A Joye, Marta Bogowicz, Janine Gote-Schniering, et al.
Frontiers in Medicine
|
December 5, 2022
Transferability of radiomic signatures from experimental to human interstitial lung disease
Hubert S Gabryś, Janine Gote-Schniering, Matthias Brunner, et al.
Physics and Imaging in Radiation Oncology
|
December 16, 2025
First implementation of photon-counting dector computed tomography for optimizing segmentation in head-and-neck cancer radiotherapy
Niccolò Bertini, Hubert S Gabryś, Hatem Alkadhi, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
April 8, 2020
Radiomics, Tumor Volume, and Blood Biomarkers for Early Prediction of Pseudoprogression in Patients with Metastatic Melanoma Treated with Immune Checkpoint Inhibition
Lucas Basler, Hubert S Gabryś, Sabrina A Hogan, et al.
Zeitschrift Fur Medizinische Physik
|
June 3, 2025
Safety in MR-enhanced daily adaptive SBRT Radiotherapy using a conventional C-arm linear accelerator: An FMEA approach
Lotte Wilke, Sebastian M Christ, Riccardo Dal Bello, et al.
Medical Physics
|
May 13, 2020
Comparison of robust to standardized CT radiomics models to predict overall survival for non-small cell lung cancer patients
Diem Vuong, Marta Bogowicz, Sarah Denzler, et al.
Clinical and Translational Radiation Oncology
|
November 24, 2025
Deep learning [<sup>18</sup>F]-FDG-PET/CT‑based algorithm for tumor burden estimation in metastatic melanoma patients under immunotherapy
Lorenzo Lo Faro, Hubert S Gabryś, Simon Burgermeister, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
March 30, 2022
Gating has a negligible impact on dose delivered in MRI-guided online adaptive radiotherapy of prostate cancer
Isak Wahlstedt, Nicolaus Andratschke, Claus P Behrens, et al.
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Search research articles
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Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
Frontiers in Oncology
|
March 21, 2018
Design and Selection of Machine Learning Methods Using Radiomics and Dosiomics for Normal Tissue Complication Probability Modeling of Xerostomia
Hubert S Gabryś, Florian Buettner, Florian Sterzing, et al.
Frontiers in Oncology
|
August 17, 2019
Incorporation of Dosimetric Gradients and Parotid Gland Migration Into Xerostomia Prediction
Rosario Astaburuaga, Hubert S Gabryś, Beatriz Sánchez-Nieto, et al.
European Journal of Radiology Open
|
September 16, 2024
Radiomics on slice-reduced versus full-chest computed tomography for diagnosis and staging of interstitial lung disease in systemic sclerosis: A comparative analysis
Anja A Joye, Marta Bogowicz, Janine Gote-Schniering, et al.
Frontiers in Medicine
|
December 5, 2022
Transferability of radiomic signatures from experimental to human interstitial lung disease
Hubert S Gabryś, Janine Gote-Schniering, Matthias Brunner, et al.
Physics and Imaging in Radiation Oncology
|
December 16, 2025
First implementation of photon-counting dector computed tomography for optimizing segmentation in head-and-neck cancer radiotherapy
Niccolò Bertini, Hubert S Gabryś, Hatem Alkadhi, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
April 8, 2020
Radiomics, Tumor Volume, and Blood Biomarkers for Early Prediction of Pseudoprogression in Patients with Metastatic Melanoma Treated with Immune Checkpoint Inhibition
Lucas Basler, Hubert S Gabryś, Sabrina A Hogan, et al.
Zeitschrift Fur Medizinische Physik
|
June 3, 2025
Safety in MR-enhanced daily adaptive SBRT Radiotherapy using a conventional C-arm linear accelerator: An FMEA approach
Lotte Wilke, Sebastian M Christ, Riccardo Dal Bello, et al.
Medical Physics
|
May 13, 2020
Comparison of robust to standardized CT radiomics models to predict overall survival for non-small cell lung cancer patients
Diem Vuong, Marta Bogowicz, Sarah Denzler, et al.
Clinical and Translational Radiation Oncology
|
November 24, 2025
Deep learning [<sup>18</sup>F]-FDG-PET/CT‑based algorithm for tumor burden estimation in metastatic melanoma patients under immunotherapy
Lorenzo Lo Faro, Hubert S Gabryś, Simon Burgermeister, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
March 30, 2022
Gating has a negligible impact on dose delivered in MRI-guided online adaptive radiotherapy of prostate cancer
Isak Wahlstedt, Nicolaus Andratschke, Claus P Behrens, et al.
Page
of 2