Peter M. A. van Ooijen

Orcid: 0000-0002-8995-1210

According to our database1, Peter M. A. van Ooijen authored at least 60 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

Masked Conditional Variational Autoencoders for Chromosome Straightening.
IEEE Trans. Medical Imaging, January, 2024

2023
Deep-Stacked Convolutional Neural Networks for Brain Abnormality Classification Based on MRI Images.
J. Digit. Imaging, August, 2023

The Hidden Adversarial Vulnerabilities of Medical Federated Learning.
CoRR, 2023

Tackling Heterogeneity in Medical Federated learning via Vision Transformers.
CoRR, 2023

Fed-Safe: Securing Federated Learning in Healthcare Against Adversarial Attacks.
CoRR, 2023

Exploring adversarial attacks in federated learning for medical imaging.
CoRR, 2023

A Comparative Study of Federated Learning Models for COVID-19 Detection.
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

VeLight: A 3D virtual reality tool for CT-based anatomy teaching and training.
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

AI Technical Considerations: Data Storage, Cloud usage and AI Pipeline.
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

Design, Implementation, and Validation of a Pulsatile Heart Phantom Pump.
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

Image De-Identification Methods for Clinical Research in the XDS Environment.
J. Medical Syst., 2016

Radiologists' Usage of Social Media: Results of the RANSOM Survey.
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

Post-deployment usability evaluation of a radiology workstation.
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

Adaptive support for user interface customization: a study in radiology.
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

DICOM data migration for PACS transition: procedure and pitfalls.
Int. J. Comput. Assist. Radiol. Surg., 2015

2014
Merits of usability testing for PACS selection.
Int. J. Medical Informatics, 2014

2011
A Situational Alignment Framework for PACS.
J. Digit. Imaging, 2011

Design and implementation of I2Vote - An interactive image-based voting system using windows mobile devices.
Int. J. Medical Informatics, 2011

2010
Accessibility of Data Backup on CD-R after 8 to 11 years.
J. Digit. Imaging, 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
Evaluation of the Use of CD-ROM Upload into the PACS or Institutional Web Server.
J. Digit. Imaging, 2006

User Questionnaire to Evaluate the Radiological Workspace.
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
Clinical Evaluation of Interactive Volume Visualization.
Proceedings of the 7th IEEE Visualization Conference, 1996


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