Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study. - Coen de Vente; Luuk H. Boulogne; Kiran Vaidhya Venkadesh; Cheryl Sital; Nikolas Lessmann; Colin Jacobs; Clara I. Sánchez; Bram van Ginneken (CoRR, 2020)

Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison. - Coen de Vente; Luuk H. Boulogne; Kiran Vaidhya Venkadesh; Cheryl Sital; Nikolas Lessmann; Colin Jacobs; Clara I. Sánchez; Bram van Ginneken (IEEE Trans. Artif. Intell., 2022)

Towards automatic forecasting of lung nodule diameter with tabular data and CT imaging. - Carlos A. Ferreira; Kiran Vaidhya Venkadesh; Colin Jacobs; Miguel T. Coimbra; Aurélio Campilho (Biomed. Signal Process. Control., 2024)

Towards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detection. - Dre Peeters; Kiran Vaidhya Venkadesh; Renate Dinnessen; Zaigham Saghir; Ernst Th. Scholten; Rozemarijn Vliegenthart; Mathias Prokop; Colin Jacobs (Comput. Biol. Medicine, 2025)

Robust Kidney Abnormality Segmentation: A Validation Study of an AI-Based Framework. - Sarah de Boer; Hartmut Häntze; Kiran Vaidhya Venkadesh; Myrthe A. D. Buser; Gabriel Efrain Humpire Mamani; Lina Xu; Lisa C. Adams; Jawed Nawabi; Keno K. Bressem; Bram van Ginneken; Mathias Prokop; Alessa Hering (CoRR, 2025)