Mathias Prokop

26PUBLICATIONS
171CO-AUTHORS
Cancer therapy (excl. chemotherapy and radiation therapy)Liquid biopsiesNatural language processingEpidemiological modellingPredictive and prognostic markers
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Publications (26)

|Sep 19, 2026
Multicenter AI- versus expert-assisted RECIST target lesion measurements in follow-up body CT of patients with cancer.

|Jun 24, 2026
Benchmarking of AI and Radiologists for Indeterminate Lung Nodule Malignancy Risk Estimation at Screening CT: The LUNA25 Challenge.

|Oct 03, 2025
Leveraging open-source large language models for clinical information extraction in resource-constrained settings.

Luc Builtjes, Joeran Bosma, Mathias Prokop

|Sep 16, 2025
External Test of a Deep Learning Algorithm for Pulmonary Nodule Malignancy Risk Stratification Using European Screening Data.

Noa Antonissen, Kiran Vaidhya Venkadesh, Renate Dinnessen

|Sep 01, 2025
Artificial intelligence-based identification of thin-cap fibroatheromas and clinical outcomes: the PECTUS-AI study.

Rick H J A Volleberg, Thijs J Luttikholt, Ruben G A van der Waerden

|Aug 20, 2025
Characterizing the Impact of Training Data on Generalizability: Application in Deep Learning to Estimate Lung Nodule Malignancy Risk.

Bogdan Obreja, Joeran Bosma, Kiran Vaidhya Venkadesh

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Frequent Collaborators

11 joint publications

Bram van Ginneken

9 joint publications

Colin Jacobs

8 joint publications

Ernst Th Scholten

7 joint publications

Cornelia Schaefer-Prokop