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ORCIDJohannes A. Langendijk
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2020 – today
- 2025
[j5]Alessia De Biase
, Nanna Maria Sijtsema, Lisanne van Dijk, Roel Steenbakkers, Johannes A. Langendijk, Peter M. A. van Ooijen:
Uncertainty-aware deep learning for segmentation of primary tumor and pathologic lymph nodes in oropharyngeal cancer: Insights from a multi-center cohort. Comput. Medical Imaging Graph. 123: 102535 (2025)- [i4]Adrian Thummerer, Erik van der Bijl, Arthur Jr Galapon, Florian Kamp, Mark Savenije, Christina Muijs, Shafak Aluwini, Roel J. H. M. Steenbakkers, Stephanie Beuel, Martijn P. W. Intven, Johannes A. Langendijk, Stefan Both, Stefanie Corradini, Viktor Rogowski, Maarten L. Terpstra, Niklas Wahl, Christopher Kurz, Guillaume Landry, Matteo Maspero:
SynthRAD2025 Grand Challenge dataset: generating synthetic CTs for radiotherapy. CoRR abs/2502.17609 (2025) - 2024
- [j4]Alessia De Biase, Liv Ziegfeld, Nanna Maria Sijtsema, Roel Steenbakkers, Robin Wijsman, Lisanne van Dijk, Johannes A. Langendijk, Fokie Cnossen, Peter M. A. van Ooijen:
Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and test. Comput. Biol. Medicine 177: 108675 (2024) - [j3]Alessia De Biase, Baoqiang Ma, Jiapan Guo, Lisanne van Dijk, Johannes A. Langendijk, Stefan Both, Peter M. A. van Ooijen, Nanna Maria Sijtsema:
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. 244: 107939 (2024) - [j2]Paolo Zaffino, Ciro Benito Raggio, Adrian Thummerer, Gabriel Guterres Marmitt, Johannes Albertus Langendijk, Anna Procopio, Carlo Cosentino, Joao Seco, Antje-Christin Knopf, Stefan Both, Maria Francesca Spadea:
Toward Closing the Loop in Image-to-Image Conversion in Radiotherapy: A Quality Control Tool to Predict Synthetic Computed Tomography Hounsfield Unit Accuracy. J. Imaging 10(12): 316 (2024) - 2023
- [i3]Adrian Thummerer, Erik van der Bijl, Arthur Jr Galapon, Joost J. C. Verhoeff, Johannes A. Langendijk, Stefan Both, Cornelis A. T. van den Berg, Matteo Maspero:
SynthRAD2023 Grand Challenge dataset: generating synthetic CT for radiotherapy. CoRR abs/2303.16320 (2023) - 2022
- [c3]Hung Chu, Luis Ricardo De la O. Arévalo, Wei Tang, Baoqiang Ma, Yan Li, Alessia De Biase, Stefan Both, Johannes A. Langendijk, Peter M. A. van Ooijen, Nanna Maria Sijtsema, Lisanne van Dijk:
Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach. HECKTOR@MICCAI 2022: 114-120 - [c2]Baoqiang Ma, Yan Li, Hung Chu, Wei Tang, Luis Ricardo De la O. Arévalo, Jiapan Guo, Peter M. A. van Ooijen, Stefan Both, Johannes A. Langendijk, Lisanne van Dijk, Nanna Maria Sijtsema:
Deep Learning and Radiomics Based PET/CT Image Feature Extraction from Auto Segmented Tumor Volumes for Recurrence-Free Survival Prediction in Oropharyngeal Cancer Patients. HECKTOR@MICCAI 2022: 240-254 - [i2]Alessia De Biase, Nanna Maria Sijtsema, Lisanne van Dijk, Johannes A. Langendijk, Peter M. A. van Ooijen:
Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images. CoRR abs/2207.01623 (2022) - 2021
- [i1]Matthijs Sloep, Petros Kalendralis, Ananya Choudhury, Lerau Seyben, Jasper Snel, Nibin Moni George, Martijn Veening, Johannes A. Langendijk, Andre Dekker, Johan van Soest, Rianne Fijten:
A Knowledge graph representation of baseline characteristics for the Dutch proton therapy research registry. CoRR abs/2107.02482 (2021)
2010 – 2019
- 2012
- [j1]Marieke de Bruijn, Louis ten Bosch, Dirk J. Kuik, Birgit I. Witte, Johannes A. Langendijk, C. René Leemans, Irma Verdonck-de Leeuw:
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. 54(5): 632-640 (2012)
2000 – 2009
- 2008
- [c1]Marieke de Bruijn, Irma Verdonck-de Leeuw, Louis ten Bosch, Joop Kuik, Hugo Quené, Lou Boves, Hans Langendijk, C. René Leemans:
Phonetic-acoustic and feature analyses by a neural network to assess speech quality in patients treated for head and neck cancer. INTERSPEECH 2008: 1753-1756
Coauthor Index
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