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Radiology. Artificial Intelligence|August 20, 2025
Characterizing the Impact of Training Data on Generalizability: Application in Deep Learning to Estimate Lung Nodule Malignancy RiskBogdan Obreja, Joeran Bosma, Kiran Vaidhya Venkadesh, et al.
IEEE Transactions on Artificial Intelligence|May 18, 2022
Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic ComparisonCoen de Vente, Luuk H Boulogne, Kiran Vaidhya Venkadesh, et al.
Radiology|August 1, 2023
Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary NodulesKiran Vaidhya Venkadesh, Tajwar Abrar Aleef, Ernst T Scholten, et al.
Radiology|May 18, 2021
Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CTKiran Vaidhya Venkadesh, Arnaud A A Setio, Anton Schreuder, et al.
Radiology|September 16, 2025
External Test of a Deep Learning Algorithm for Pulmonary Nodule Malignancy Risk Stratification Using European Screening DataNoa Antonissen, Kiran Vaidhya Venkadesh, Renate Dinnessen, et al.
Radiology|July 31, 2020
Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial IntelligenceNikolas Lessmann, Clara I Sánchez, Ludo Beenen, et al.
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