Research graph
References from Deep-learning-based segmentation using individual patient data on prostate cancer radiation therapy. Local targets link to admitted publications; unresolved targets remain external evidence.
Cancer statistics, 2021.
10.3322/caac.21654 · 2021 · External reference
Prostate cancer screening in Europe and Asia
10.1016/j.ajur.2016.08.010 · 2017 · External reference
Complications following surgery with or without radiotherapy or radiotherapy alone for prostate cancer
10.1038/bjc.2015.54 · 2015 · External reference
Relative biological effectiveness (RBE) values for proton beam therapy
10.1016/s0360-3016(02)02754-2 · 2002 · External reference
Variable RBE in proton therapy: comparison of different model predictions and their influence on clinical-like scenarios
10.1186/s13014-016-0642-6 · 2016 · External reference
Is tumor volume reduction during radiotherapy prognostic relevant in patients with stage III non-small cell lung cancer?
10.1007/s00432-018-2640-6 · 2018 · External reference
Unresolved reference
2010 · External reference
Adaptive radiotherapy planning on decreasing gross tumor volumes as seen on megavoltage computed tomography images
10.1016/j.ijrobp.2007.07.2369 · 2007 · External reference
Stereotactic body radiation therapy for liver tumors: impact of daily setup corrections and day-to-day anatomic variations on dose in target and organs at risk
10.1016/j.ijrobp.2008.12.020 · 2009 · External reference
Unresolved reference
2019 · External reference
Adaptive radiation therapy. Physics in Medicine &
1997 · External reference
Does atlas-based autosegmentation of neck levels require subsequent manual contour editing to avoid risk of severe target underdosage? A dosimetric analysis
10.1016/j.radonc.2010.11.017 · 2011 · External reference
Variations in the contouring of organs at risk: test case from a patient with oropharyngeal cancer
10.1016/j.ijrobp.2010.10.019 · 2012 · External reference
A semiautomatic tool for prostate segmentation in radiotherapy treatment planning
10.1186/1471-2342-14-4 · 2014 · External reference
Unresolved reference
2013 · External reference
A review of automatic lung tumour segmentation in the era of 4DCT.
10.1016/j.rpor.2019.01.003 · 2019 · External reference
Unresolved reference
2006 · External reference
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2010 · External reference
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2008 · External reference
Unresolved reference
2014 · External reference
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
10.1109/tpami.2017.2699184 · 2017 · External reference
Segnet: A deep convolutional encoder-decoder architecture for image segmentation
10.1109/tpami.2016.2644615 · 2017 · External reference
Unresolved reference
2015 · External reference
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2016 · External reference
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2016 · External reference
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2018 · External reference
Unresolved reference
2020 · External reference
Unresolved reference
2019 · External reference
GAN‐segNet: A deep generative adversarial segmentation network for brain tumor semantic segmentation
10.1002/ima.22677 · 2022 · External reference
Automatic multiorgan segmentation in thorax CT images using U‐net‐GAN
10.1002/mp.13458 · 2019 · External reference
Secure, privacy-preserving and federated machine learning in medical imaging
10.1038/s42256-020-0186-1 · 2020 · External reference
Deep learning-based medical image segmentation with limited labels
10.1088/1361-6560/abc363 · 2020 · External reference
Patient-specific daily updated deep learning auto-segmentation for MRI-guided adaptive radiotherapy
10.1016/j.radonc.2022.11.004 · 2022 · External reference
Building medical image classifiers with very limited data using segmentation networks
10.1016/j.media.2018.07.010 · 2018 · External reference
A survey on image data augmentation for deep learning
10.1186/s40537-019-0197-0 · 2019 · External reference
An optimised radial basis function algorithm for fast non-rigid registration of medical images
10.1016/j.compbiomed.2009.10.002 · 2010 · External reference
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification
10.1016/j.neucom.2018.09.013 · 2018 · External reference
Deep learning with limited data: Organ segmentation performance by U-Net
10.3390/electronics9081199 · 2020 · External reference
VoxelMorph: a learning framework for deformable medical image registration
10.1109/tmi.2019.2897538 · 2019 · External reference
10.1038/s41592-020-01008-z · 2021 · Admitted local publication
3D Slicer as an image computing platform for the Quantitative Imaging Network
10.1016/j.mri.2012.05.001 · 2012 · External reference
Unresolved reference
2020 · External reference
A deep learning-based automated CT segmentation of prostate cancer anatomy for radiation therapy planning-a retrospective multicenter study
10.3390/diagnostics10110959 · 2020 · External reference
Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer
10.1186/s13014-022-01985-9 · 2022 · External reference
Automatic segmentation of the prostate on CT images using deep neural networks (DNN).
10.1016/j.ijrobp.2019.03.017 · 2019 · External reference
Unresolved reference
2020 · External reference
Simple low-cost approaches to semantic segmentation in radiation therapy planning for prostate cancer using deep learning with non-contrast planning CT images
10.1016/j.ejmp.2020.09.004 · 2020 · External reference
ARPM‐net: A novel CNN‐based adversarial method with Markov random field enhancement for prostate and organs at risk segmentation in pelvic CT images.
10.1002/mp.14580 · 2021 · External reference
Unresolved reference
2020 · External reference
Boundary coding representation for organ segmentation in prostate cancer radiotherapy
10.1109/tmi.2020.3025517 · 2020 · External reference
HF-UNet: learning hierarchically inter-task relevance in multi-task U-net for accurate prostate segmentation in CT images
10.1109/tmi.2021.3072956 · 2021 · External reference
Evaluating the clinical acceptability of deep learning contours of prostate and organs‐at‐risk in an automated prostate treatment planning process
10.1002/mp.15525 · 2022 · External reference
Task Group 142 report: Quality assurance of medical accelerators a
10.1118/1.3190392 · 2009 · External reference
