Peter van Ooijen

Associate Professor Medical Imaging Informatics

University Medical Center Groningen

Research Interests

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Articles (20)

Collaborators (13)

Keith Antony Langmack

Head of Radiotherapy Physics

Nottingham University Hospitals NHS Trust

UNITED KINGDOM

Emma Hyde

Associate Professor

University of Derby

UNITED KINGDOM

Fokie Cnossen

Associate Professor

University of Groningen

Helle Precht

Associated Professor, Radiographer

Lisanne van Dijk

Associate professor & Technical physician

University Medical Center Groningen

Yiqing Shen

Johns Hopkins University

UNITED STATES

Xiaofei Yang

University Medical Center Groningen

Bingjiang Qiu

University Medical Center Groningen

Cláudia Sá dos Reis

School of Health Sciences (HESAV)/University of Applied Sciences and Arts Western Switzerland (HES-SO)

Christoph Brune

University of Twente

Pim van der Harst

University of Groningen

Hung Chu

University of Groningen

Rozemarijn Vliegenthart

University Medical Center Groningen

Peter van Ooijen

Research Interests

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Articles (20)

A multidisciplinary team and multiagency approach for AI implementation

Tackling heterogeneity in medical federated learning via aligning vision transformers

Three-Dimensional Deep Learning Normal Tissue Complication Probability Model to Predict Late Xerostomia in Patients With Head and Neck Cancer

PET/CT based transformer model for multi-outcome prediction in oropharyngeal cancer

ESR Bridges: bridging the AI gap: a collaborative effort of radiologists and technical AI professionals—a multidisciplinary view

Automated Breast Density Assessment in MRI Using Deep Learning and Radiomics

Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and test

Effect of emphysema on AI software and human reader performance in lung nodule detection from low-dose chest CT

Reproducibility of radiomics quality score

Localization of contrast-enhanced breast lesions in ultrafast screening MRI using deep convolutional neural networks

The U-Net Family for Epicardial Adipose Tissue Segmentation and Quantification in Low-Dose CT

Preparing CT imaging datasets for deep learning in lung nodule analysis: Insights from four well-known datasets

CT-based deep multi-label learning prediction model for outcome in patients with oropharyngeal squamous cell carcinoma

Deep-Stacked Convolutional Neural Networks for Brain Abnormality Classification Based on MRI Images

Survival prediction for stage I-IIIA non-small cell lung cancer using deep learning

Deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for predicted tumor probability in FDG PET and CT images

Development and external validation of automated detection, classification, and localization of ankle fractures

Masked conditional variational autoencoders for chromosome straightening

Ovarian imaging radiomics quality score assessment

Pre-screening to guide coronary artery calcium scoring for early identification of high-risk individuals in the general population

Collaborators (13)

Keith Antony Langmack

Emma Hyde

Fokie Cnossen

Helle Precht

Lisanne van Dijk

Yiqing Shen

Xiaofei Yang

Bingjiang Qiu

Cláudia Sá dos Reis

Christoph Brune

Pim van der Harst

Hung Chu

Rozemarijn Vliegenthart

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