Colin Jacobs

26PUBLICATIONS

82CO-AUTHORS

Liquid biopsiesEpidemiological methodsEpidemiological modellingReinforcement learningPredictive and prognostic markers

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Publications (26)

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|Jun 24, 2026

Benchmarking of AI and Radiologists for Indeterminate Lung Nodule Malignancy Risk Estimation on Screening CT: The LUNA25 Challenge.

|Mar 14, 2026

Improving Lung Cancer Screening Selection: A Comparative Analysis of Risk Models and Traditional Criteria in a Western European General Population.

Danrong Zhong, Grigory Sidorenkov, Marcel J W Greuter

|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

|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

|Oct 22, 2024

Lung Nodule Management in Low-Dose CT Screening for Lung Cancer: Lessons from the NELSON Trial.

Danrong Zhong, Grigory Sidorenkov, Colin Jacobs

|Jan 29, 2024

Decoding pulmonary nodules: can machine learning enhance malignancy risk stratification?

Colin Jacobs

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Frequent Collaborators

Ernst Th Scholten

Mathias Prokop

Bram van Ginneken

Anton Schreuder

Kiran Vaidhya Venkadesh

6 joint publications

Zaigham Saghir

5 joint publications

Cornelia Schaefer-Prokop

5 joint publications

Rozemarijn Vliegenthart

4 joint publications

Nikolas Lessmann

4 joint publications

Mario Silva

Frequent Collaborators

Ernst Th Scholten

Mathias Prokop

Bram van Ginneken

Anton Schreuder