Mathias Prokop

Mathias Prokop

Radboud Universiteit

H-index: 93

Europe-Netherlands

About Mathias Prokop

Mathias Prokop, With an exceptional h-index of 93 and a recent h-index of 55 (since 2020), a distinguished researcher at Radboud Universiteit, specializes in the field of Computed tomography, computer aided diagnosis, lung cancer, stroke.

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

Review of strategies to reduce the contamination of the water environment by gadolinium-based contrast agents

Explainable machine learning model based on clinical factors for predicting the disappearance of indeterminate pulmonary nodules

Human-AI Symbiosis: A Path Forward to Improve Chest Radiography and the Role of Radiologists in Patient Care

The Facilitators and Barriers of the Implementation of a Clinical Decision Support System for Breast Cancer Multidisciplinary Team Meetings—An Interview Study

Prior CT improves deep learning for malignancy risk estimation of screening-detected pulmonary nodules

PET/MRI in practice: a clinical centre survey endorsed by the European Association of Nuclear Medicine (EANM) and the EANM Forschungs GmbH (EARL)

Gallium-68 labelled RGD PET/CT imaging of endothelial activation in COVID-19 patients

Impact of time-to-treatment on survival for advanced non-small cell lung cancer patients in the Netherlands: a nationwide observational cohort study

Mathias Prokop Information

University

Position

Professor of Radiology, Radboudumc

Citations(all)

38629

Citations(since 2020)

17390

Cited By

28201

hIndex(all)

93

hIndex(since 2020)

55

i10Index(all)

347

i10Index(since 2020)

207

Email

University Profile Page

Google Scholar

Mathias Prokop Skills & Research Interests

Computed tomography

computer aided diagnosis

lung cancer

stroke

Top articles of Mathias Prokop

Review of strategies to reduce the contamination of the water environment by gadolinium-based contrast agents

2024/12

Mathias Prokop
Mathias Prokop

H-Index: 56

Explainable machine learning model based on clinical factors for predicting the disappearance of indeterminate pulmonary nodules

Computers in biology and medicine

2024/2/1

Jingxuan Wang
Jingxuan Wang

H-Index: 2

Mathias Prokop
Mathias Prokop

H-Index: 56

Human-AI Symbiosis: A Path Forward to Improve Chest Radiography and the Role of Radiologists in Patient Care

2024/1/23

Mathias Prokop
Mathias Prokop

H-Index: 56

The Facilitators and Barriers of the Implementation of a Clinical Decision Support System for Breast Cancer Multidisciplinary Team Meetings—An Interview Study

Cancers

2024/1/17

Mathias Prokop
Mathias Prokop

H-Index: 56

Prior CT improves deep learning for malignancy risk estimation of screening-detected pulmonary nodules

Radiology

2023/8/1

PET/MRI in practice: a clinical centre survey endorsed by the European Association of Nuclear Medicine (EANM) and the EANM Forschungs GmbH (EARL)

European Journal of Nuclear Medicine and Molecular Imaging

2023/8

Gallium-68 labelled RGD PET/CT imaging of endothelial activation in COVID-19 patients

Scientific Reports

2023/7/17

Mathias Prokop
Mathias Prokop

H-Index: 56

Impact of time-to-treatment on survival for advanced non-small cell lung cancer patients in the Netherlands: a nationwide observational cohort study

Thorax

2023/5/1

Mathias Prokop
Mathias Prokop

H-Index: 56

Multi-source data approach for personalized outcome prediction in lung cancer screening: update from the NELSON trial

European Journal of Epidemiology

2023/4

Abdominopelvic CT image quality: evaluation of thin (0.5-mm) slices using deep learning reconstruction

American Journal of Roentgenology

2023/3/19

Fully automatic extraction of knee kinematics from dynamic CT imaging; normative tibiofemoral and patellofemoral kinematics of 100 healthy volunteers

The Knee

2023/3/1

Mathias Prokop
Mathias Prokop

H-Index: 56

Dennis Janssen
Dennis Janssen

H-Index: 18

Technical performance of a dual‐energy CT system with a novel deep‐learning based reconstruction process: Evaluation using an abdomen protocol

Medical physics

2023/3

A Bayesian estimation method for cerebral blood flow measurement by area-detector CT perfusion imaging

Neuroradiology

2023/1

Ewoud J Smit
Ewoud J Smit

H-Index: 14

Mathias Prokop
Mathias Prokop

H-Index: 56

Dynamic Computed Tomography Angiography for capturing vessel wall motion: A phantom study for optimal image reconstruction

Plos one

2023/12/22

Ronald Hma Bartels
Ronald Hma Bartels

H-Index: 31

Mathias Prokop
Mathias Prokop

H-Index: 56

Integrating treatment cost reduction strategies and biomarker research to reduce costs and personalize expensive treatments: an example of a self-funding trial in non-small …

Frontiers in Pharmacology

2023/11/28

Pricing and cost-saving potential for deep-learning computer-aided lung nodule detection software in CT lung cancer screening

Insights into Imaging

2023/11/27

Transfer learning from a sparsely annotated dataset of 3D medical images

arXiv preprint arXiv:2311.05032

2023/11/8

Trends in the incidence of pulmonary nodules in chest computed tomography: 10-year results from two Dutch hospitals

European Radiology

2023/11

Influence of device-assisted suction against resistance (Mueller maneuver) on image quality in CTPA for suspected lung embolism

European Radiology

2023/11

Mathias Prokop
Mathias Prokop

H-Index: 56

Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans

Communications Medicine

2023/10/27

See List of Professors in Mathias Prokop University(Radboud Universiteit)