B
Bram Geurts
Researcher at Radboud University Nijmegen
Publications - 14
Citations - 1769
Bram Geurts is an academic researcher from Radboud University Nijmegen. The author has contributed to research in topics: Medicine & Lung cancer screening. The author has an hindex of 8, co-authored 12 publications receiving 1069 citations.
Papers
More filters
Journal ArticleDOI
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.
Arnaud Arindra Adiyoso Setio,Alberto Traverso,Thomas de Bel,Moira S.N. Berens,Cas van den Bogaard,Piergiorgio Cerello,Hao Chen,Qi Dou,Maria Evelina Fantacci,Bram Geurts,Robbert van der Gugten,Pheng-Ann Heng,Bart Jansen,Michael M.J. de Kaste,Valentin Kotov,Jack Yu-Hung Lin,Jeroen Manders,Alexander Sóñora-Mengana,Juan C. García-Naranjo,Evgenia Papavasileiou,Mathias Prokop,M. Saletta,Cornelia M. Schaefer-Prokop,Ernst T. Scholten,Luuk Scholten,Miranda M. Snoeren,Ernesto Lopez Torres,Jef Vandemeulebroucke,Nicole Walasek,Guido Zuidhof,Bram van Ginneken,Colin Jacobs +31 more
TL;DR: The LUNA16 challenge is described, an objective evaluation framework for automatic nodule detection algorithms using the largest publicly available reference database of chest CT scans, the LIDC‐IDRI data set, and the results so far are presented.
Journal ArticleDOI
CO-RADS: A Categorical CT Assessment Scheme for Patients Suspected of Having COVID-19-Definition and Evaluation.
Mathias Prokop,Wouter M. van Everdingen,Tjalco van Rees Vellinga,Henriette M. E. Quarles van Ufford,Lauran Stöger,Ludo F. M. Beenen,Bram Geurts,Hester A. Gietema,Jasenko Krdzalic,Cornelia M. Schaefer-Prokop,Bram van Ginneken,Monique Brink +11 more
TL;DR: CO-RADS is a categorical assessment scheme for pulmonary involvement of CO VID-19 on non-enhanced chest CT providing very good performance for predicting COVID-19 in patients with moderate to severe symptoms and has a substantial interobserver agreement, especially for categories 1 and 5.
Journal ArticleDOI
Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence
Nikolas Lessmann,Clara I. Sánchez,Ludo F. M. Beenen,Luuk H. Boulogne,Monique Brink,Erdi Calli,Jean-Paul Charbonnier,Ton Dofferhoff,Wouter M. van Everdingen,Paul K. Gerke,Bram Geurts,Hester A. Gietema,Miriam Groeneveld,Louis D. van Harten,Nils Hendrix,Ward Hendrix,Henkjan J. Huisman,Ivana Išgum,Colin Jacobs,Ruben Kluge,Michel Kok,Jasenko Krdzalic,Bianca Lassen-Schmidt,Kicky G. van Leeuwen,James A. Meakin,Mike Overkamp,Tjalco van Rees Vellinga,Eva M. van Rikxoort,Riccardo Samperna,Cornelia M. Schaefer-Prokop,Steven Schalekamp,Ernst T. Scholten,Cheryl Sital,J. Lauran Stöger,Jonas Teuwen,Kiran Vaidhya Venkadesh,Coen de Vente,Marieke Vermaat,Weiyi Xie,Bram de Wilde,Mathias Prokop,Bram van Ginneken +41 more
TL;DR: In this paper, the authors developed and validated an artificial intelligence (AI) system to score the likelihood and extent of pulmonary COVID-19 on chest CT scans using the COVID19 Reporting and Data System (CO-RADS) and CT severity scoring systems.
Journal ArticleDOI
The reliability of magnetic resonance imaging in traumatic brain injury lesion detection
TL;DR: T2*-GRE and SWI are more sensitive than T2WI and FLAIR in detecting (haemorrhagic) traumatic punctate lesions and their correlation with the Glasgow Coma Scale indicates that haem orrhagic lesions are clinically relevant.
Journal ArticleDOI
Observer variability for Lung-RADS categorisation of lung cancer screening CTs: impact on patient management.
Sarah J. van Riel,Colin Jacobs,Ernst T. Scholten,Rianne Wittenberg,Mathilde M. W. Wille,Bartjan de Hoop,Ralf Sprengers,Onno M. Mets,Bram Geurts,Mathias Prokop,Cornelia M. Schaefer-Prokop,Bram van Ginneken +11 more
TL;DR: Assignment of lung cancer screening CT scans to Lung-RADS categories achieves substantial interobserver agreement and major cause for disagreement was assigning a different nodule as risk-dominant.