Deformation trajectory prediction using a neural network trained on finite element data—application to library of CTVs creation for cervical cancer
Author:
Funder
Health Holland public-private partnership
Publisher
IOP Publishing
Subject
Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
https://iopscience.iop.org/article/10.1088/1361-6560/ac2c9b/pdf
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5. A biomechanical finite element model to generate a library of cervix CTVs;Beekman;Med. Phys.,2020
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2. Artificial Intelligence for Image Registration in Radiation Oncology;Seminars in Radiation Oncology;2022-10
3. Research on Diagnosis and Prognosis of Cervical Cancer in FOXD1;INTERNATIONAL JOURNAL OF HUMAN GENETICS;2022-04-25
4. Improving predictive CTV segmentation on CT and CBCT for cervical cancer by diffeomorphic registration of a prior;Medical Physics;2022-02
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