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Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach.

, , , , , , , , , , and . HECKTOR@MICCAI, volume 13626 of Lecture Notes in Computer Science, page 114-120. Springer, (2022)

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Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images., , , , and . CoRR, (2022)SynthRAD2023 Grand Challenge dataset: generating synthetic CT for radiotherapy., , , , , , , and . CoRR, (2023)A Knowledge graph representation of baseline characteristics for the Dutch proton therapy research registry., , , , , , , , , and 1 other author(s). CoRR, (2021)Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach., , , , , , , , , and 1 other author(s). HECKTOR@MICCAI, volume 13626 of Lecture Notes in Computer Science, page 114-120. Springer, (2022)Deep Learning and Radiomics Based PET/CT Image Feature Extraction from Auto Segmented Tumor Volumes for Recurrence-Free Survival Prediction in Oropharyngeal Cancer Patients., , , , , , , , , and 1 other author(s). HECKTOR@MICCAI, volume 13626 of Lecture Notes in Computer Science, page 240-254. Springer, (2022)Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer., , , , , , , and . Comput. Methods Programs Biomed., (2024)