Clinical Evaluation of Interactive Volume Visualization. - Karel J. Zuiderveld; Peter M. A. van Ooijen; John W. C. Chin-A-Woeng; Pieter C. Buijs; Marco Olree; Frits H. Post (IEEE Visualization, 1996)

Everything On-Line (EOL) PACS: A new concept in PACS. - Peter M. A. van Ooijen; A. H. H. Bongaertz; Matthijs Oudkerk (EuroPACS, 2000)

Three-dimensional volume rendered CT for preparation and evaluation of endovascular treatment of popliteal aneurysms. - Peter M. A. van Ooijen; Arie Munne; Marco T. C. Hoedt; Matthijs Oudkerk (CARS, 2001)

The influence of beam-pitch, reconstruction slice-thickness, and kernels on 3D-visualisation of 16-MSCT data. - Roy Irwan; Peter M. A. van Ooijen; W. G. J. Tukker; Matthijs Oudkerk (CARS, 2003)

Multi-Detector CT and 3D imaging in a multi-vendor PACS environment. - Peter M. A. van Ooijen; R. Witkamp; Matthijs Oudkerk (CARS, 2003)

Incorporating Out-Patient Data From CD-R Into the Local PACS Using DICOM Worklist Features. - Peter M. A. van Ooijen; J. Guignot; G. Mevel; Matthijs Oudkerk (J. Digit. Imaging, 2005)

User Questionnaire to Evaluate the Radiological Workspace. - Peter M. A. van Ooijen; Allya P. Koesoema; Matthijs Oudkerk (J. Digit. Imaging, 2006)

Evaluation of the Use of CD-ROM Upload into the PACS or Institutional Web Server. - Peter M. A. van Ooijen; R. Roosjen; M. J. de Blecourt; R. van Dam; A. Broekema; Matthijs Oudkerk (J. Digit. Imaging, 2006)

Branches filtering approach for max-tree. - I. Ketut E. Purnama; Michael H. F. Wilkinson; Albert G. Veldhuizen; Peter M. A. van Ooijen; Jaap Lubbers; Tri Arief Sardjono; Gijbertus Jacob Verkerke (VISAPP (1), 2007)

Design and Implementation of Gradient Vector Flow Snake to Detect a Reference Object in Pelvic X-Rays for Preoperative Total Hip Arthroplasty Planning Application. - W. Kristanto; Peter M. A. van Ooijen; Bertram The; H. Duifhuis; Tati Rajab Mengko; Matthijs Oudkerk (J. Digit. Imaging, 2007)

Use of a Thin-Section Archive and Enterprise 3-Dimensional Software for Long-Term Storage of Thin-Slice CT Data Sets - A Reviewers' Response. - Peter M. A. van Ooijen; A. Broekema; Matthijs Oudkerk (J. Digit. Imaging, 2008)

Accessibility of Data Backup on CD-R after 8 to 11 years. - Peter M. A. van Ooijen; A. R. Viddeleer; Floris Meijer; Matthijs Oudkerk (J. Digit. Imaging, 2010)

Design and implementation of I2Vote - An interactive image-based voting system using windows mobile devices. - Peter M. A. van Ooijen; A. Broekema; Matthijs Oudkerk (Int. J. Medical Informatics, 2011)

A Situational Alignment Framework for PACS. - Rogier van de Wetering; Ronald Batenburg; Matthijs Oudkerk; Peter M. A. van Ooijen; Sjaak Brinkkemper; Wim Scheper (J. Digit. Imaging, 2011)

Merits of usability testing for PACS selection. - Wiard Jorritsma; Fokie Cnossen; Peter M. A. van Ooijen (Int. J. Medical Informatics, 2014)

DICOM data migration for PACS transition: procedure and pitfalls. - Peter M. A. van Ooijen; Kadek Yota E. Aryanto; André Broekema; Steven C. Horii (Int. J. Comput. Assist. Radiol. Surg., 2015)

Comparing Four Touch-Based Interaction Techniques for an Image-Based Audience Response System. - Wiard Jorritsma; Jonatan T. Prins; Peter M. A. van Ooijen (Int. J. Hum. Comput. Interact., 2015)

Adaptive support for user interface customization: a study in radiology. - Wiard Jorritsma; Fokie Cnossen; Peter M. A. van Ooijen (Int. J. Hum. Comput. Stud., 2015)

A Web-Based Institutional DICOM Distribution System with the Integration of the Clinical Trial Processor (CTP). - K. Y. E. Aryanto; A. Broekema; R. G. A. Langenhuysen; Matthijs Oudkerk; Peter M. A. van Ooijen (J. Medical Syst., 2015)

Post-deployment usability evaluation of a radiology workstation. - Wiard Jorritsma; Fokie Cnossen; Rudi A. Dierckx; Matthijs Oudkerk; Peter M. A. van Ooijen (Int. J. Medical Informatics, 2016)

Pattern mining of user interaction logs for a post-deployment usability evaluation of a radiology PACS client. - Wiard Jorritsma; Fokie Cnossen; Rudi A. Dierckx; Matthijs Oudkerk; Peter M. A. van Ooijen (Int. J. Medical Informatics, 2016)

Radiologists' Usage of Social Media: Results of the RANSOM Survey. - Erik R. Ranschaert; Peter M. A. van Ooijen; Geraldine B. McGinty; Paul M. Parizel (J. Digit. Imaging, 2016)

Image De-Identification Methods for Clinical Research in the XDS Environment. - K. Y. E. Aryanto; G. van Kernebeek; B. Berendsen; Matthijs Oudkerk; Peter M. A. van Ooijen (J. Medical Syst., 2016)

Implementation and Validation of PACS Integrated Peer Review for Discrepancy Recording of Radiology Reporting. - Allard W. Olthof; Peter M. A. van Ooijen (J. Medical Syst., 2016)

Improving Provenance Data Interaction for Visual Storytelling in Medical Imaging Data Exploration. - Lorenzo Amabili; Jirí Kosinka; Maarten A. J. van Meersbergen; Peter M. A. van Ooijen; Jos B. T. M. Roerdink; Pjotr Svetachov; Lingyun Yu 001 (EuroVis (Short Papers), 2018)

3D segmentation of mandible from multisectional CT scans by convolutional neural networks. - Bingjiang Qiu; Jiapan Guo; Joep Kraeima; Ronald J. H. Borra; Max J. H. Witjes; Peter M. A. van Ooijen (CoRR, 2018)

3D reconstruction of carotid artery in B-mode ultrasound image using modified template matching based on ellipse feature. - I. Made Gede Sunarya; Eko Mulyanto Yuniarno; Tri Arief Sardjono; Ismoyo Sunu; Peter M. A. van Ooijen; I. Ketut Eddy Purnama (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020)

Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage. - Sunyi Zheng; Xiaonan Cui; Marleen Vonder; Raymond N. J. Veldhuis; Zhaoxiang Ye; Rozemarijn Vliegenthart; Matthijs Oudkerk; Peter M. A. van Ooijen (Comput. Methods Programs Biomed., 2020)

Efficient convolutional neural networks for multi-planar lung nodule detection: improvement on small nodule identification. - Sunyi Zheng; Ludo J. Cornelissen; Xiaonan Cui; Xueping Jing; Raymond N. J. Veldhuis; Matthijs Oudkerk; Peter M. A. van Ooijen (CoRR, 2020)

Recurrent convolutional neural networks for mandible segmentation from computed tomography. - Bingjiang Qiu; Jiapan Guo; Joep Kraeima; Haye H. Glas; Ronald J. H. Borra; Max J. H. Witjes; Peter M. A. van Ooijen (CoRR, 2020)

Design, Implementation, and Validation of a Pulsatile Heart Phantom Pump. - Volkan Tuncay; Jan Zijlstra; Matthijs Oudkerk; Peter M. A. van Ooijen (J. Digit. Imaging, 2020)

Assessment of Dynamic Change of Coronary Artery Geometry and Its Relationship to Coronary Artery Disease, Based on Coronary CT Angiography. - Jordy K. van Zandwijk; Volkan Tuncay; Rozemarijn Vliegenthart; Gert Jan Pelgrim; Cornelis H. Slump; Matthijs Oudkerk; Peter M. A. van Ooijen (J. Digit. Imaging, 2020)

Contextual Structured Reporting in Radiology: Implementation and Long-Term Evaluation in Improving the Communication of Critical Findings. - Allard W. Olthof; Anne L. M. Leusveld; Jan Cees de Groot; Petra M. C. Callenbach; Peter M. A. van Ooijen (J. Medical Syst., 2020)

Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection. - Sunyi Zheng; Jiapan Guo; Xiaonan Cui; Raymond N. J. Veldhuis; Matthijs Oudkerk; Peter M. A. van Ooijen (IEEE Trans. Medical Imaging, 2020)

Skip-SCSE Multi-scale Attention and Co-learning Method for Oropharyngeal Tumor Segmentation on Multi-modal PET-CT Images. - Alessia De Biase; Wei Tang 014; Nikos Sourlos; Baoqiang Ma; Jiapan Guo; Nanna Maria Sijtsema; Peter M. A. van Ooijen (HECKTOR@MICCAI, 2021)

Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck Cancer. - Baoqiang Ma; Jiapan Guo; Alessia De Biase; Nikos Sourlos; Wei Tang 014; Peter M. A. van Ooijen; Stefan Both; Nanna Maria Sijtsema (HECKTOR@MICCAI, 2021)

A semi-automatic seed point-based method for separation of individual vertebrae in 3D surface meshes: a proof of principle study. - Peter A. J. Pijpker; Tim S. Oosterhuis; Max J. H. Witjes; Chris Faber; Peter M. A. van Ooijen; Jirí Kosinka; Jos M. A. Kuijlen; Rob J. M. Groen; Joep Kraeima (Int. J. Comput. Assist. Radiol. Surg., 2021)

Machine learning based natural language processing of radiology reports in orthopaedic trauma. - Allard W. Olthof; P. Shouche; E. M. Fennema; F. F. A. IJpma; R. H. C. Koolstra; V. M. A. Stirler; Peter M. A. van Ooijen; Ludo J. Cornelissen (Comput. Methods Programs Biomed., 2021)

Deep Learning-Based Natural Language Processing in Radiology: The Impact of Report Complexity, Disease Prevalence, Dataset Size, and Algorithm Type on Model Performance. - Allard W. Olthof; Peter M. A. van Ooijen; Ludo J. Cornelissen (J. Medical Syst., 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)

Spring-Charged Particles Model to Improved Shape Recovery: An Application for X-Ray Spinal Segmentation. - Tri Arief Sardjono; Peter M. A. van Ooijen; I. Ketut Eddy Purnama; Berlian Al Kindhi; Ardian Yusuf Wicaksono; Eko M. Yuniarno; Gijbertus Jacob Verkerke; Mauridhi Hery Purnomo; Michael H. F. Wilkinson (IEEE Access, 2022)

AI Technical Considerations: Data Storage, Cloud usage and AI Pipeline. - Peter M. A. van Ooijen; Erfan Darzidehkalani; Andre Dekker (CoRR, 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)

The natural language processing of radiology requests and reports of chest imaging: Comparing five transformer models' multilabel classification and a proof-of-concept study. - Allard W. Olthof; Peter M. A. van Ooijen; Ludo J. Cornelissen (Health Informatics J., 2022)

AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation. - Yeshaswini Nagaraj; Hendrik Joost Wisselink; Mieneke Rook; Jiali Cai; Sunil Belur Nagaraj; Grigory Sidorenkov; Raymond N. J. Veldhuis; Matthijs Oudkerk; Rozemarijn Vliegenthart; Peter M. A. van Ooijen (J. Digit. Imaging, 2022)

Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms. - L. B. van den Oever; W. A. van Veldhuizen; Ludo J. Cornelissen; D. S. Spoor; Tineke P. Willems; G. Kramer; T. Stigter; Mieneke Rook; A. P. G. Crijns; Matthijs Oudkerk; Raymond N. J. Veldhuis; Geertruida H. de Bock; et al. (J. Digit. Imaging, 2022)

Automatic Cardiac Structure Contouring for Small Datasets with Cascaded Deep Learning Models. - L. B. van den Oever; D. S. Spoor; A. P. G. Crijns; Rozemarijn Vliegenthart; Matthijs Oudkerk; Raymond N. J. Veldhuis; Geertruida H. de Bock; Peter M. A. van Ooijen (J. Medical Syst., 2022)

VeLight: A 3D virtual reality tool for CT-based anatomy teaching and training. - Lingyun Yu 001; Joost Ouwerling; Pjotr Svetachov; Frans h. j. van Hoesel; Peter M. A. van Ooijen; Jirí Kosinka (J. Vis., 2022)

2D Gait Skeleton Data Normalization for Quantitative Assessment of Movement Disorders from Freehand Single Camera Video Recordings. - Wei Tang 014; Peter M. A. van Ooijen; Deborah A. Sival; Natasha M. Maurits (Sensors, 2022)

Classification of Movement Disorders Using Video Recordings of Gait with Attention-based Graph Convolutional Networks. - Wei Tang 014; Peter M. A. van Ooijen; Deborah A. Sival; Natasha M. Maurits (BHI, 2023)

TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer. - Baoqiang Ma; Jiapan Guo; Lisanne van Dijk; Peter M. A. van Ooijen; Stefan Both; Nanna Maria Sijtsema (MIDL, 2023)

A Comparative Study of Federated Learning Models for COVID-19 Detection. - Erfan Darzidehkalani; Nanna Maria Sijtsema; Peter M. A. van Ooijen (CoRR, 2023)

Fed-Safe: Securing Federated Learning in Healthcare Against Adversarial Attacks. - Erfan Darzi; Nanna Maria Sijtsema; Peter M. A. van Ooijen (CoRR, 2023)

Tackling Heterogeneity in Medical Federated learning via Vision Transformers. - Erfan Darzi; Yiqing Shen 003; Nanna Maria Sijtsema; Peter M. A. van Ooijen (CoRR, 2023)

The Hidden Adversarial Vulnerabilities of Medical Federated Learning. - Erfan Darzi; Florian Dubost; Nanna Maria Sijtsema; Peter M. A. van Ooijen (CoRR, 2023)

Deep-Stacked Convolutional Neural Networks for Brain Abnormality Classification Based on MRI Images. - Dewinda Julianensi Rumala; Peter M. A. van Ooijen; Reza Fuad Rachmadi; Anggraini Dwi Sensusiati; I Ketut Eddy Purnama (J. Digit. Imaging, 2023)

BoneStory: Visual Storytelling in 3D Virtual Surgical Planning for Bone Fracture Reduction. - Heejun Lee; Peter A. J. Pijpker; Joep Kraeima; Lorenzo Amabili; Fokie Cnossen; Jos B. T. M. Roerdink; Peter M. A. van Ooijen; Jirí Kosinka (CGI (2), 2024)

MRI-Based Head and Neck Tumor Segmentation Using nnU-Net with 15-Fold Cross-Validation Ensemble. - Frank N. Mol; Luuk van der Hoek; Baoqiang Ma; Bharath Chowdhary Nagam; Nanna Maria Sijtsema; Lisanne van Dijk; Kerstin Bunte; Rifka Vlijm; Peter M. A. van Ooijen (HNTS-MRG@MICCAI, 2024)

Tackling heterogeneity in medical federated learning via aligning vision transformers. - Erfan Darzi; Yiqing Shen 003; Yangming Ou; Nanna Maria Sijtsema; Peter M. A. van Ooijen (Artif. Intell. Medicine, 2024)

Automatic two-dimensional & three-dimensional video analysis with deep learning for movement disorders: A systematic review. - Wei Tang 014; Peter M. A. van Ooijen; Deborah A. Sival; Natasha M. Maurits (Artif. Intell. Medicine, 2024)

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)

Masked Conditional Variational Autoencoders for Chromosome Straightening. - Jingxiong Li; Sunyi Zheng; Zhongyi Shui; Shichuan Zhang; Linyi Yang; Yuxuan Sun 002; Yunlong Zhang; Honglin Li 001; Yuanxin Ye; Peter M. A. van Ooijen; Kang Li 004; Lin Yang 002 (IEEE Trans. Medical Imaging, 2024)

Explainable machine learning model based on clinical factors for predicting the disappearance of indeterminate pulmonary nodules. - Jingxuan Wang; Nikos Sourlos; Marjolein Heuvelmans; Mathias Prokop; Rozemarijn Vliegenthart; Peter M. A. van Ooijen (Comput. Biol. Medicine, 2024)

Exploring Adversarial Attacks in Federated Learning for Medical Imaging. - Erfan Darzi; Florian Dubost; Nanna Maria Sijtsema; Peter M. A. van Ooijen (IEEE Trans. Ind. Informatics, 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)

A comparison of an integrated and image-only deep learning model for predicting the disappearance of indeterminate pulmonary nodules. - Jingxuan Wang; Jiali Cai; Wei Tang 014; Ivan Dudurych; Marcel van Tuinen; Rozemarijn Vliegenthart; Peter M. A. van Ooijen (Comput. Medical Imaging Graph., 2025)

Weight-space noise for privacy-robustness trade-offs in federated learning. - Erfan Darzi; Nanna Maria Sijtsema; Peter M. A. van Ooijen (Neural Comput. Appl., 2025)