Peter M. A. van Ooijen
Orcid: 0000-0002-8995-1210
According to our database1,
Peter M. A. van Ooijen
authored at least 64 papers
between 1996 and 2024.
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Bibliography
2024
Explainable machine learning model based on clinical factors for predicting the disappearance of indeterminate pulmonary nodules.
Comput. Biol. Medicine, February, 2024
IEEE Trans. Medical Imaging, January, 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
Automatic two-dimensional & three-dimensional video analysis with deep learning for movement disorders: A systematic review.
Artif. Intell. Medicine, 2024
Tackling heterogeneity in medical federated learning via aligning vision transformers.
Artif. Intell. Medicine, 2024
2023
Deep-Stacked Convolutional Neural Networks for Brain Abnormality Classification Based on MRI Images.
J. Digit. Imaging, August, 2023
CoRR, 2023
CoRR, 2023
TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer.
Proceedings of the Medical Imaging with Deep Learning, 2023
Classification of Movement Disorders Using Video Recordings of Gait with Attention-based Graph Convolutional Networks.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023
2022
2D Gait Skeleton Data Normalization for Quantitative Assessment of Movement Disorders from Freehand Single Camera Video Recordings.
Sensors, 2022
J. Vis., 2022
Automatic Cardiac Structure Contouring for Small Datasets with Cascaded Deep Learning Models.
J. Medical Syst., 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.
J. Digit. Imaging, 2022
AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation.
J. Digit. Imaging, 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.
Health Informatics J., 2022
Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images.
CoRR, 2022
Spring-Charged Particles Model to Improved Shape Recovery: An Application for X-Ray Spinal Segmentation.
IEEE Access, 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
Deep Learning-Based Natural Language Processing in Radiology: The Impact of Report Complexity, Disease Prevalence, Dataset Size, and Algorithm Type on Model Performance.
J. Medical Syst., 2021
Machine learning based natural language processing of radiology reports in orthopaedic trauma.
Comput. Methods Programs Biomed., 2021
A semi-automatic seed point-based method for separation of individual vertebrae in 3D surface meshes: a proof of principle study.
Int. J. Comput. Assist. Radiol. Surg., 2021
Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck Cancer.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021
Skip-SCSE Multi-scale Attention and Co-learning Method for Oropharyngeal Tumor Segmentation on Multi-modal PET-CT Images.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021
2020
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection.
IEEE Trans. Medical Imaging, 2020
Contextual Structured Reporting in Radiology: Implementation and Long-Term Evaluation in Improving the Communication of Critical Findings.
J. Medical Syst., 2020
Assessment of Dynamic Change of Coronary Artery Geometry and Its Relationship to Coronary Artery Disease, Based on Coronary CT Angiography.
J. Digit. Imaging, 2020
J. Digit. Imaging, 2020
Recurrent convolutional neural networks for mandible segmentation from computed tomography.
CoRR, 2020
Efficient convolutional neural networks for multi-planar lung nodule detection: improvement on small nodule identification.
CoRR, 2020
Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage.
Comput. Methods Programs Biomed., 2020
3D reconstruction of carotid artery in B-mode ultrasound image using modified template matching based on ellipse feature.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020
2018
3D segmentation of mandible from multisectional CT scans by convolutional neural networks.
CoRR, 2018
Improving Provenance Data Interaction for Visual Storytelling in Medical Imaging Data Exploration.
Proceedings of the 20th Eurographics Conference on Visualization, 2018
2016
Implementation and Validation of PACS Integrated Peer Review for Discrepancy Recording of Radiology Reporting.
J. Medical Syst., 2016
J. Medical Syst., 2016
J. Digit. Imaging, 2016
Pattern mining of user interaction logs for a post-deployment usability evaluation of a radiology PACS client.
Int. J. Medical Informatics, 2016
Int. J. Medical Informatics, 2016
2015
A Web-Based Institutional DICOM Distribution System with the Integration of the Clinical Trial Processor (CTP).
J. Medical Syst., 2015
Int. J. Hum. Comput. Stud., 2015
Comparing Four Touch-Based Interaction Techniques for an Image-Based Audience Response System.
Int. J. Hum. Comput. Interact., 2015
Int. J. Comput. Assist. Radiol. Surg., 2015
2014
2011
Design and implementation of I2Vote - An interactive image-based voting system using windows mobile devices.
Int. J. Medical Informatics, 2011
2010
2008
Use of a Thin-Section Archive and Enterprise 3-Dimensional Software for Long-Term Storage of Thin-Slice CT Data Sets - A Reviewers' Response.
J. Digit. Imaging, 2008
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.
J. Digit. Imaging, 2007
Branches filtering approach for max-tree.
Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007
2006
J. Digit. Imaging, 2006
2005
Incorporating Out-Patient Data From CD-R Into the Local PACS Using DICOM Worklist Features.
J. Digit. Imaging, 2005
2003
Multi-Detector CT and 3D imaging in a multi-vendor PACS environment.
Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003
The influence of beam-pitch, reconstruction slice-thickness, and kernels on 3D-visualisation of 16-MSCT data.
Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003
2001
Three-dimensional volume rendered CT for preparation and evaluation of endovascular treatment of popliteal aneurysms.
Proceedings of the CARS 2001. Computer Assisted Radiology and Surgery. Proceedings of the 15th International Congress and Exhibition, 2001
2000
Everything On-Line (EOL) PACS: A new concept in PACS.
Proceedings of the From PACS to Internet/Intranet, 2000
1996
Proceedings of the 7th IEEE Visualization Conference, 1996