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:

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

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

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 …

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

Kidney abnormality segmentation in thorax-abdomen CT scans

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

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

Radboud Universiteit

Google Scholar

View Google Scholar Profile

Mathias Prokop Skills & Research Interests

Computed tomography

computer aided diagnosis

lung cancer

stroke

Top articles of Mathias Prokop

Title

Journal

Author(s)

Publication Date

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

Computers in biology and medicine

Jingxuan Wang

Nikos Sourlos

Marjolein Heuvelmans

Mathias Prokop

Rozemarijn Vliegenthart

...

2024/2/1

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

Warren B Gefter

Mathias Prokop

Joon Beom Seo

Suhail Raoof

Curtis P Langlotz

...

2024/1/23

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

Cancers

Lejla Kočo

Carmen CN Siebers

Margrethe Schlooz

Carla Meeuwis

Hester SA Oldenburg

...

2024/1/17

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

Helena M Dekker

Gerard J Stroomberg

Aart J Van der Molen

Mathias Prokop

2024/12

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

Alessandra IG Buma

Berber Piet

Rob Ter Heine

Michel M van den Heuvel

2023/11/28

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

European Journal of Epidemiology

Grigory Sidorenkov

Ralph Stadhouders

Colin Jacobs

Firdaus AA Mohamed Hoesein

Hester A Gietema

...

2023/4

Kidney abnormality segmentation in thorax-abdomen CT scans

arXiv preprint arXiv:2309.03383

Gabriel Efrain Humpire Mamani

Nikolas Lessmann

Ernst Th Scholten

Mathias Prokop

Colin Jacobs

...

2023/9/6

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

Communications Medicine

Ward Hendrix

Nils Hendrix

Ernst T Scholten

Mariëlle Mourits

Joline Trap-de Jong

...

2023/10/27

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

Insights into Imaging

Yihui Du

Marcel JW Greuter

Mathias W Prokop

Geertruida H de Bock

2023/11/27

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

American Journal of Roentgenology

Luuk J Oostveen

Ewoud J Smit

Helena M Dekker

Constantinus F Buckens

Sjoert AH Pegge

...

2023/3/19

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

Radiology

Kiran Vaidhya Venkadesh

Tajwar Abrar Aleef

Ernst T Scholten

Zaigham Saghir

Mario Silva

...

2023/8/1

Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic Head

Diagnostics

Geke Litjens

Joris PEA Broekmans

Tim Boers

Marco Caballo

Maud HF van den Hurk

...

2023/10/13

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

arXiv preprint arXiv:2311.05032

Gabriel Efrain Humpire-Mamani

Colin Jacobs

Mathias Prokop

Bram van Ginneken

Nikolas Lessmann

2023/11/8

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

The Knee

Hans Dunning

SAW van de Groes

CF Buckens

Mathias Prokop

Nico Verdonschot

...

2023/3/1

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

Niek HJ Prakken

Florent L Besson

Ronald JH Borra

Florian Büther

Ronny R Buechel

...

2023/8

Impact of time-to-treatment on survival for early-stage non-small cell lung cancer in The Netherlands—a nationwide observational cohort study

Translational Lung Cancer Research

Sosse E Klarenbeek

Mieke J Aarts

Michel M van den Heuvel

Mathias Prokop

Marcia Tummers

...

2023/10/10

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

European Radiology

Ward Hendrix

Matthieu Rutten

Nils Hendrix

Bram van Ginneken

Cornelia Schaefer-Prokop

...

2023/11

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

Medical physics

Luuk J Oostveen

Kirsten L Boedeker

Christiana Balta

Daniel Shin

Frank de Lange

...

2023/3

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

Scientific Reports

Evelien AJ van Genugten

Theresa J van Lith

Frederik MA van den Heuvel

Josee L van Steenis

Romy M Ten Heggeler

...

2023/7/17

ERS/ESTS/ESTRO/ESR/ESTI/EFOMP statement on management of incidental findings from low dose CT screening for lung cancer

European Journal of Cardio-Thoracic Surgery

Emma L O'Dowd

Ilona Tietzova

Emily Bartlett

Anand Devaraj

Jürgen Biederer

...

2023/10/1

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