Laurens Topff
6PUBLICATIONS
46CO-AUTHORS
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Publications (6)
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|Jun 24, 2025
A Data-Centric Approach to Deep Learning for Brain Metastasis Analysis at MRI.Laurens Topff, Liliana Petrychenko, Neeraj Jain
|Mar 11, 2024
Artificial intelligence-assisted double reading of chest radiographs to detect clinically relevant missed findings: a two-centre evaluation.Laurens Topff, Sanne Steltenpool, Erik R Ranschaert
|May 02, 2023
A deep learning-based application for COVID-19 diagnosis on CT: The Imaging COVID-19 AI initiative.Laurens Topff, José Sánchez-García, Rafael López-González
|May 01, 2023
Artificial Intelligence Tool for Detection and Worklist Prioritization Reduces Time to Diagnosis of Incidental Pulmonary Embolism at CT.Laurens Topff, Erik R Ranschaert, Annemarieke Bartels-Rutten
|Jan 18, 2023
Is the generalizability of a developed artificial intelligence algorithm for COVID-19 on chest CT sufficient for clinical use? Results from the International Consortium for COVID-19 Imaging AI (ICOVAI).Laurens Topff, Kevin B W Groot Lipman, Frederic Guffens
|Jan 05, 2021
The RSNA International COVID-19 Open Radiology Database (RICORD).Emily B Tsai, Scott Simpson, Matthew P Lungren
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Frequent Collaborators
3 joint publications
Jacob J Visser
3 joint publications
Erik R Ranschaert
1 joint publications
Emily B Tsai
1 joint publications
Scott Simpson
1 joint publications
Matthew P Lungren
1 joint publications
Michelle Hershman
1 joint publications
Leonid Roshkovan
1 joint publications
Errol Colak
1 joint publications
Regina G H Beets-Tan
1 joint publications
George Shih
