Matthijs Oudkerk

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professor

University of Groningen

Netherlands

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About

Matthijs Oudkerk is a professor at the University of Groningen in the Netherlands. His research focuses on lung cancer screening, cardiovascular disease detection, and advancements in medical imaging technologies such as CT scans. Recent publications include studies on recruitment methods in lung cancer screening, the effectiveness of low-dose CT screening, and automatic pulmonary nodule detection using convolutional neural networks.

Recent Grants

Grant: Close

4-IN THE LUNG RUN: towards INdividually tailored INvitations, screening INtervals, and INtegrated co-morbidity reducing strategies in lung cancer screening

Open Date: 2020-01-01

Close Date: 2024-12-31

Grant: Close

"New and more individualised population-based screening for cardiovascular disease; from a RCT including selfassessments, primary care and coronary artery calcification score to modelling risk-benefit"

Open Date: 2012-12-01

Close Date: 2017-11-30

Grant: Close

NEderlands Leuvens Longkanker Screenings Onderzoek (NELSON-screening trial) in high risk subjects: subsequent screens and evaluation

Open Date: 2009-04-01

Close Date: 2013-04-01

Articles (15)

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2020

Collaborators (3)

Joachim G. Aerts

NETHERLANDS

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Daiwei Han

NETHERLANDS

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John Field

Clinical Professor of Molecular Oncology

UNITED KINGDOM

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Matthijs Oudkerk

Research Interests

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About

Recent Grants

Articles (15)

Current evidence of low-dose CT screening benefit

A comparative analysis of heterogeneity in lung cancer screening effectiveness in two randomised controlled trials

Impact of recruitment method on informed decision-making in lung cancer screening in the 4-IN-THE-LUNG-RUN trial

Early detection of cardiovascular disease in chest population screening: challenges for a rapidly emerging cardiac CT application

COVID-19 lung disease is a pulmonary vasculopathy

d-Dimer and COVID-19

Diagnosis, Prevention, and Treatment of Thromboembolic Complications in COVID-19: Report of the National Institute for Public Health of the Netherlands

A Subsolid Nodules Imaging Reporting System (SSN-IRS) for Classifying 3 Subtypes of Pulmonary Adenocarcinoma

Assessment of Dynamic Change of Coronary Artery Geometry and Its Relationship to Coronary Artery Disease, Based on Coronary CT Angiography

Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection

Clinical characteristics and work-up of small to intermediate-sized pulmonary nodules in a Chinese dedicated cancer hospital

Computed Tomography Screening for Early Lung Cancer, COPD and Cardiovascular Disease in Shanghai: Rationale and Design of a Population-based Comparative Study

Deep learning for automated exclusion of cardiac CT examinations negative for coronary artery calcium

Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage

Diagnostic performance of breast tumor tissue selection in diffusion weighted imaging: A systematic review and meta-analysis

Collaborators (3)

Joachim G. Aerts

Daiwei Han

John Field

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