David Tilly

Enhancing online adaptive radiotherapy with uncertainty based segmentation error and out-of-distribution detection

Van Lente, Marissa; Pluim, Josien; Fransson, Samuel; Strand, Robin et al.

Ingår i Frontiers in Oncology, 2026

• DOI för Enhancing online adaptive radiotherapy with uncertainty based segmentation error and out-of-distribution detection
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Deep learning-based dose prediction for magnetic resonance-guided prostate radiotherapy

Fransson, Samuel; Strand, Robin; Tilly, David

Ingår i Medical physics (Lancaster), s. 8087-8095, 2024

• DOI för Deep learning-based dose prediction for magnetic resonance-guided prostate radiotherapy
• Ladda ner fulltext (pdf) av Deep learning-based dose prediction for magnetic resonance-guided prostate radiotherapy

Deep learning segmentation of low-resolution images for prostate magnetic resonance-guided radiotherpy

Fransson, Samuel; Tilly, David; Strand, Robin

2024

The Quality Assurance of a 1.5 T MR-Linac

Riis, Hans Lynggaard; Chick, Joan; Dunlop, Alex; Tilly, David

Ingår i Seminars in radiation oncology, s. 120-128, 2024

• DOI för The Quality Assurance of a 1.5 T MR-Linac
• Ladda ner fulltext (pdf) av The Quality Assurance of a 1.5 T MR-Linac

Dosimetric validation of the couch and coil model for high-field MR-linac treatment planning

Lynggaard Riis, Hans; Christiansen, Rasmus Lübeck; Tilly, Nina; Tilly, David

Ingår i Zeitschrift für Medizinische Physik, s. 567-577, 2023

• DOI för Dosimetric validation of the couch and coil model for high-field MR-linac treatment planning
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Enhancing online adaptive radiotherapy with uncertainty based segmentation error and out-of-distribution detection

Van Lente, Marissa; Pluim, Josien; Fransson, Samuel; Strand, Robin et al.

Ingår i Frontiers in Oncology, 2026

• DOI för Enhancing online adaptive radiotherapy with uncertainty based segmentation error and out-of-distribution detection
• Ladda ner fulltext (pdf) av Enhancing online adaptive radiotherapy with uncertainty based segmentation error and out-of-distribution detection

Deep learning-based dose prediction for magnetic resonance-guided prostate radiotherapy

Fransson, Samuel; Strand, Robin; Tilly, David

Ingår i Medical physics (Lancaster), s. 8087-8095, 2024

• DOI för Deep learning-based dose prediction for magnetic resonance-guided prostate radiotherapy
• Ladda ner fulltext (pdf) av Deep learning-based dose prediction for magnetic resonance-guided prostate radiotherapy

Dosimetric validation of the couch and coil model for high-field MR-linac treatment planning

Lynggaard Riis, Hans; Christiansen, Rasmus Lübeck; Tilly, Nina; Tilly, David

Ingår i Zeitschrift für Medizinische Physik, s. 567-577, 2023

• DOI för Dosimetric validation of the couch and coil model for high-field MR-linac treatment planning
• Ladda ner fulltext (pdf) av Dosimetric validation of the couch and coil model for high-field MR-linac treatment planning

Patient specific deep learning based segmentation for magnetic resonance guided prostate radiotherapy

Fransson, Samuel; Tilly, David; Strand, Robin

Ingår i Physics and Imaging in Radiation Oncology, s. 38-42, 2022

• DOI för Patient specific deep learning based segmentation for magnetic resonance guided prostate radiotherapy
• Ladda ner fulltext (pdf) av Patient specific deep learning based segmentation for magnetic resonance guided prostate radiotherapy

Adaptive dose painting for prostate cancer

Freden, Emil; Tilly, David; Ahnesjö, Anders

Ingår i Frontiers in Oncology, 2022

• DOI för Adaptive dose painting for prostate cancer
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Intrafractional motion models based on principal components in Magnetic Resonance guided prostate radiotherapy

Fransson, Samuel; Tilly, David; Ahnesjö, Anders; Nyholm, Tufve et al.

Ingår i Physics and Imaging in Radiation Oncology, s. 17-22, 2021

• DOI för Intrafractional motion models based on principal components in Magnetic Resonance guided prostate radiotherapy
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End-to-end validation of the geometric dose delivery performance of MR linac adaptive radiotherapy

Bernchou, Uffe; Christiansen, Rasmus L.; Bertelsen, Anders; Tilly, David et al.

Ingår i Physics in Medicine and Biology, 2021

• DOI för End-to-end validation of the geometric dose delivery performance of MR linac adaptive radiotherapy

Probabilistic optimization of dose coverage in radiotherapy

Tilly, David; Holm, Asa; Grusell, Erik; Ahnesjö, Anders

Ingår i Physics and Imaging in Radiation Oncology, s. 1-6, 2019

• DOI för Probabilistic optimization of dose coverage in radiotherapy
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Dose coverage calculation using a statistical shape model: applied to cervical cancer radiotherapy

Tilly, David; van de Schoot, Agustinus J A J; Grusell, Erik; Bel, Arjan et al.

Ingår i Physics in Medicine and Biology, s. 4140-4159, 2017

• DOI för Dose coverage calculation using a statistical shape model: applied to cervical cancer radiotherapy

Fast dose algorithm for generation of dose coverage probability for robustness analysis of fractionated radiotherapy

Tilly, David; Ahnesjö, Anders

Ingår i Physics in Medicine and Biology, s. 5439-5454, 2015

• DOI för Fast dose algorithm for generation of dose coverage probability for robustness analysis of fractionated radiotherapy
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Dose mapping sensitivity to deformable registration uncertainties in fractionated radiotherapy – applied to prostate proton treatments

Tilly, David; Tilly, Nina; Ahnesjö, Anders

Ingår i BMC Medical Physics, 2013

• DOI för Dose mapping sensitivity to deformable registration uncertainties in fractionated radiotherapy – applied to prostate proton treatments
• Ladda ner fulltext (pdf) av Dose mapping sensitivity to deformable registration uncertainties in fractionated radiotherapy – applied to prostate proton treatments

The Quality Assurance of a 1.5 T MR-Linac

Riis, Hans Lynggaard; Chick, Joan; Dunlop, Alex; Tilly, David

Ingår i Seminars in radiation oncology, s. 120-128, 2024

• DOI för The Quality Assurance of a 1.5 T MR-Linac
• Ladda ner fulltext (pdf) av The Quality Assurance of a 1.5 T MR-Linac

Probabilistic treatment planning based on dose coverage: How to quantify and minimize the effects of geometric uncertainties in radiotherapy

Tilly, David

2016

• Ladda ner fulltext (pdf) av Probabilistic treatment planning based on dose coverage: How to quantify and minimize the effects of geometric uncertainties in radiotherapy

Deep learning segmentation of low-resolution images for prostate magnetic resonance-guided radiotherpy

Fransson, Samuel; Tilly, David; Strand, Robin

2024

Probabilistic optimization of the dose coverage – applied to radiotherapy treatment planning of cervical cancer

Tilly, David; Grusell, Erik; Ahnesjö, Anders