Phonetic-acoustic and feature analyses by a neural network to assess speech quality in patients treated for head and neck cancer. - Marieke de Bruijn; Irma Verdonck-de Leeuw; Louis ten Bosch; Joop Kuik; Hugo Quené; Lou Boves; Hans Langendijk; C. René Leemans (INTERSPEECH, 2008)

Acoustic-phonetic and artificial neural network feature analysis to assess speech quality of stop consonants produced by patients treated for oral or oropharyngeal cancer. - Marieke de Bruijn; Louis ten Bosch; Dirk J. Kuik; Birgit I. Witte; Johannes A. Langendijk; C. René Leemans; Irma Verdonck-de Leeuw (Speech Commun., 2012)

A Knowledge graph representation of baseline characteristics for the Dutch proton therapy research registry. - 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 (CoRR, 2021)

Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach. - Hung Chu; Luis Ricardo De la O. Arévalo; Wei Tang 014; Baoqiang Ma; Yan Li; Alessia De Biase; Stefan Both; Johannes A. Langendijk; Peter M. A. van Ooijen; Nanna Maria Sijtsema; Lisanne van Dijk (HECKTOR@MICCAI, 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. - Baoqiang Ma; Yan Li; Hung Chu; Wei Tang 014; Luis Ricardo De la O. Arévalo; Jiapan Guo; Peter M. A. van Ooijen; Stefan Both; Johannes A. Langendijk; Lisanne van Dijk; Nanna Maria Sijtsema (HECKTOR@MICCAI, 2022)

Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images. - Alessia De Biase; Nanna Maria Sijtsema; Lisanne van Dijk; Johannes A. Langendijk; Peter M. A. van Ooijen (CoRR, 2022)

SynthRAD2023 Grand Challenge dataset: generating synthetic CT for radiotherapy. - 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 (CoRR, 2023)

Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and test. - 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 (Comput. Biol. Medicine, 2024)

Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer. - Alessia De Biase; Baoqiang Ma; Jiapan Guo; Lisanne van Dijk; Johannes A. Langendijk; Stefan Both; Peter M. A. van Ooijen; Nanna Maria Sijtsema (Comput. Methods Programs Biomed., 2024)

Uncertainty-aware deep learning for segmentation of primary tumor and pathologic lymph nodes in oropharyngeal cancer: Insights from a multi-center cohort. - Alessia De Biase; Nanna Maria Sijtsema; Lisanne van Dijk; Roel Steenbakkers; Johannes A. Langendijk; Peter M. A. van Ooijen (Comput. Medical Imaging Graph., 2025)

SynthRAD2025 Grand Challenge dataset: generating synthetic CTs for radiotherapy. - 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; et al. (CoRR, 2025)