prof.dr.Matthijs Oudkerk

prof.dr.Matthijs Oudkerk

Rijksuniversiteit Groningen

H-index: 102

Europe-Netherlands

About prof.dr.Matthijs Oudkerk

prof.dr.Matthijs Oudkerk, With an exceptional h-index of 102 and a recent h-index of 58 (since 2020), a distinguished researcher at Rijksuniversiteit Groningen, specializes in the field of CMI-Center for Medical Imaging Groningen.

His recent articles reflect a diverse array of research interests and contributions to the field:

D-dimer cut-off value for pulmonary embolism diagnosis in COVID-19

Cost-effectiveness of volume computed tomography in lung cancer screening: a cohort simulation based on Nelson study outcomes

177MO Cardiovascular assessment in lung cancer screening: Initial findings from the European 4-IN-THE-LUNG-RUN trial

191P Impact of perifissural nodules on lung cancer screening with AI as the initial reader

185P Cost and impact assessment of AI-enhanced image analysis in lung cancer screening

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

180P Substantial radiologist workload reduction can be achieved if artificial intelligence is used as a first-read filter at baseline in lung cancer screening

Performance of Lung-RADS in different target populations: a systematic review and meta-analysis

prof.dr.Matthijs Oudkerk Information

University

Position

Hoogleraar Radiologie Rijks

Citations(all)

127082

Citations(since 2020)

46783

Cited By

120386

hIndex(all)

102

hIndex(since 2020)

58

i10Index(all)

445

i10Index(since 2020)

265

Email

University Profile Page

Rijksuniversiteit Groningen

Google Scholar

View Google Scholar Profile

prof.dr.Matthijs Oudkerk Skills & Research Interests

CMI-Center for Medical Imaging Groningen

Top articles of prof.dr.Matthijs Oudkerk

Title

Journal

Author(s)

Publication Date

D-dimer cut-off value for pulmonary embolism diagnosis in COVID-19

Journal of Thoracic Disease

Sophie YH Engels

Matthijs Oudkerk

Marjolein A Heuvelmans

2024

Cost-effectiveness of volume computed tomography in lung cancer screening: a cohort simulation based on Nelson study outcomes

Journal of Medical Economics

Xuanqi Pan

Evgeni Dvortsin

David R Baldwin

Harry JM Groen

Dianne Ramaker

...

2024/12/31

177MO Cardiovascular assessment in lung cancer screening: Initial findings from the European 4-IN-THE-LUNG-RUN trial

ESMO Open

D Han

M Vonder

HL Lancaster

CM van der Aalst

A Schmitz

...

2024/3/1

191P Impact of perifissural nodules on lung cancer screening with AI as the initial reader

ESMO Open

D Han

A Walstra

MA Heuvelmans

HL Lancaster

JW Gratama

...

2024/3/1

185P Cost and impact assessment of AI-enhanced image analysis in lung cancer screening

ESMO Open

HL Lancaster

K Togka

X Pan

M Silva

D Han

...

2024/3/1

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

European Radiology

Xueping Jing

Monique D Dorrius

Sunyi Zheng

Mirjam Wielema

Matthijs Oudkerk

...

2024/3

180P Substantial radiologist workload reduction can be achieved if artificial intelligence is used as a first-read filter at baseline in lung cancer screening

ESMO Open

HL Lancaster

B Jiang

M Silva

JW Gratama

D Han

...

2024/3/1

Performance of Lung-RADS in different target populations: a systematic review and meta-analysis

Yifei Mao

Jiali Cai

Marjolein A Heuvelmans

Rozemarijn Vliegenthart

Harry JM Groen

...

2024/3

P1. 17-03 Cost-effectiveness of Low-dose Computerized Tomography Lung Cancer Screening in High-risk Non-smokers and Smokers in Hong Kong

Journal of Thoracic Oncology

H Loong

X Pan

C-H Chiu

S-C Yang

MSH Chung

...

2023/11/1

106P AI negative predictive performance exceeds that of radiologists in volumetric-based risk stratification of lung nodules detected at baseline in a lung cancer screening …

Journal of Thoracic Oncology

HL Lancaster

MA Heuvelmans

D Yu

J Yi

GH de Bock

...

2023/4/1

Current and Future Perspectives on Computed Tomography Screening for Lung Cancer: A Roadmap From 2023 to 2027 From the International Association for the Study of Lung Cancer

Stephen Lam

Chunxue Bai

David R Baldwin

Yan Chen

Casey Connolly

...

2023/7/23

P1. 15-03 Dedicated Cardiovascular Screening in Lung Cancer Screening: Preliminary Results from the European 4-IN-THE-LUNG-RUN Trial

Journal of Thoracic Oncology

M Vonder

C van der Aalst

J Hubert

D Moldovanu

A Schmitz

...

2023/11/1

An unsupervised anomaly detection model to identify emphysema in low-dose computed tomography

Authorea Preprints

Yeshaswini Nagaraj

Ludo Cornelissen

Jiali Cai

Mieneke Rook

Hendrik Joost Wisselink

...

2023/10/30

108P Optimization of automatic emphysema detection in lung cancer screening dataset

Journal of Thoracic Oncology

H Liu

D Han

Y Mao

M Vonder

M Heuvelmans

...

2023/4/1

Image quality of DWI at breast MRI depends on the amount of fibroglandular tissue: implications for unenhanced screening

European Radiology

Mirjam Wielema

Paul E Sijens

Ruud M Pijnappel

Geertruida H De Bock

Marcel Zorgdrager

...

2023/11/27

Cardiovascular Screening In Lung Cancer Screening: The European Prospective Approach 4-in-the-lung-run

Journal of Cardiovascular Computed Tomography

M Vonder

C van der Aalst

D Moldovanu

J Hubert

A Schmitz

...

2023/7/1

Automated Breast Density Assessment in MRI Using Deep Learning and Radiomics: Strategies for Reducing Inter‐Observer Variability

Journal of Magnetic Resonance Imaging

Xueping Jing

Mirjam Wielema

Andrea G Monroy‐Gonzalez

Thom RG Stams

Shekar VK Mahesh

...

2023/10/17

EP04. 02-03 Cost-Consequence Analysis of Artificial Intelligence Assisted Image Reading in Lung Cancer Screening

Journal of Thoracic Oncology

K Togka

X Pan

H Lancaster

M Silva

M Oudkerk

2023/11/1

Emphysema detection in the course of lung cancer screening: optimizing a rare opportunity to impact population health

Annals of the American Thoracic Society

James L Mulshine

Carolyn R Aldigé

Laurie Fenton Ambrose

Samuel G Armato III

Ricardo S Avila

...

2023/4

An optimized D-dimer cut-off value to predict pulmonary thromboembolism in COVID-19 patients

Journal of thoracic disease

Sophie YH Engels

Ilonka HPAA van Veen

Matthijs Oudkerk

Job van der Palen

Marjolein A Heuvelmans

2023/11/11

See List of Professors in prof.dr.Matthijs Oudkerk University(Rijksuniversiteit Groningen)