Zobrazeno 1 - 10
of 1 024
pro vyhledávání: '"Herk, Marcel"'
The aim of this study was to develop a model to accurately identify corresponding points between organ segmentations of different patients for radiotherapy applications. A model for simultaneous correspondence and interpolation estimation in 3D shape
Externí odkaz:
http://arxiv.org/abs/2309.14269
Convolutional neural networks (CNNs) are increasingly being used to automate segmentation of organs-at-risk in radiotherapy. Since large sets of highly curated data are scarce, we investigated how much data is required to train accurate and robust he
Externí odkaz:
http://arxiv.org/abs/2303.17318
Generalised Automatic Anatomy Finder (GAAF): A general framework for 3D location-finding in CT scans
We present GAAF, a Generalised Automatic Anatomy Finder, for the identification of generic anatomical locations in 3D CT scans. GAAF is an end-to-end pipeline, with dedicated modules for data pre-processing, model training, and inference. At it's cor
Externí odkaz:
http://arxiv.org/abs/2209.06042
Automatic segmentation of organs-at-risk (OARs) in CT scans using convolutional neural networks (CNNs) is being introduced into the radiotherapy workflow. However, these segmentations still require manual editing and approval by clinicians prior to c
Externí odkaz:
http://arxiv.org/abs/2206.13317
Contours are used in radiotherapy treatment planning to identify regions to be irradiated with high dose and regions to be spared. Therefore, any contouring uncertainty influences the whole treatment. Even though this is the biggest remaining source
Externí odkaz:
http://arxiv.org/abs/2204.10098
Autor:
Jaikuna, Tanwiwat, Wilson, Fiona, Azria, David, Chang-Claude, Jenny, De Santis, Maria Carmen, Gutiérrez-Enríquez, Sara, van Herk, Marcel, Hoskin, Peter, Kotzki, Lea, Lambrecht, Maarten, Lingard, Zoe, Seibold, Petra, Seoane, Alejandro, Sperk, Elena, Paul Symonds, R, Talbot, Christopher J., Rancati, Tiziana, Rattay, Tim, Reyes, Victoria, Rosenstein, Barry S., de Ruysscher, Dirk, Vega, Ana, Veldeman, Liv, Webb, Adam, West, Catharine ML, Aznar, Marianne C, Vasquez Osorio, Eliana
Publikováno v:
In Physics and Imaging in Radiation Oncology October 2024 32
Radiotherapy is an integral part of treatment for many patients with breast cancer. However, side effects can occur, Example fibrosis or erythema. If patients at higher risks of radiation induced side effects could be identified before treatment, the
Externí odkaz:
http://arxiv.org/abs/2110.04929
Autor:
Åström, Lina M., Sibolt, Patrik, Chamberlin, Hannah, Serup-Hansen, Eva, Andersen, Claus E., van Herk, Marcel, Mouritsen, Lene S., Aznar, Marianne C., Behrens, Claus P.
Publikováno v:
In Physics and Imaging in Radiation Oncology July 2024 31
Autor:
Ghita-Pettigrew, Mihaela, Edgar, Kevin S., Kuburas, Refik, Brown, Kathryn H., Walls, Gerard M., Facchi, Cecilia, Grieve, David J., Watson, Chris J., McWilliam, Alan, van Herk, Marcel, Williams, Kaye J., Butterworth, Karl T.
Publikováno v:
In Radiotherapy and Oncology April 2024 193
Autor:
Østergaard, Daniella Elisabet, Bryce-Atkinson, Abigail, Skaarup, Mikkel, Smulders, Bob, Davies, Lucy Siew Chen, Whitfield, Gillian, Janssens, Geert O., Hjalgrim, Lisa Lyngsie, Richter, Ivan Vogelius, van Herk, Marcel, Aznar, Marianne, Vestmø Maraldo, Maja
Publikováno v:
In Radiotherapy and Oncology January 2024 190