Zaigham Saghir

8PUBLICATIONS
45CO-AUTHORS
Liquid biopsiesEpidemiological modellingReinforcement learningEpidemiological methodsPredictive and prognostic markers
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Publications (8)

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

|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

|Dec 25, 2024
Identifying the population to be targeted in a lung cancer screening programme in Denmark.

María Del Pilar Fernández Montejo, Zaigham Saghir, Uffe Bødtger

|Sep 19, 2023
Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT.

Natália Alves, Joeran S Bosma, Kiran V Venkadesh

|Aug 01, 2023
Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules.

Kiran Vaidhya Venkadesh, Tajwar Abrar Aleef, Ernst T Scholten

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Frequent Collaborators

6 joint publications

Colin Jacobs

5 joint publications

Mathias Prokop

5 joint publications

Kiran Vaidhya Venkadesh

4 joint publications

Ernst Th Scholten