Johannes A. Langendijk
Orcid: 0000-0003-1083-372X
According to our database1,
Johannes A. Langendijk
authored at least 9 papers
between 2008 and 2024.
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Bibliography
2024
Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer.
Comput. Methods Programs Biomed., 2024
Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and test.
Comput. Biol. Medicine, 2024
2023
CoRR, 2023
2022
Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images.
CoRR, 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.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
2021
A Knowledge graph representation of baseline characteristics for the Dutch proton therapy research registry.
CoRR, 2021
2012
Acoustic-phonetic and artificial neural network feature analysis to assess speech quality of stop consonants produced by patients treated for oral or oropharyngeal cancer.
Speech Commun., 2012
2008
Phonetic-acoustic and feature analyses by a neural network to assess speech quality in patients treated for head and neck cancer.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008