Erratum for : Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT

enthalten in: Radiology | 2023

von Alves, N. | Bosma, J. | Venkadesh, K. | +5

Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT

enthalten in: Radiology | 2023

von Alves, N. | Bosma, J. | Venkadesh, K. | +5

Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules

enthalten in: Radiology | 2023

von Venkadesh, K. | Aleef, T. | Scholten, E. | +7

Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT

enthalten in: Radiology | 2021

von Venkadesh, K. | Setio, A. | Schreuder, A. | +7

Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence

enthalten in: Radiology | 2021

von Lessmann, N. | Sánchez, C. | Beenen, L. | +39

Classification of CT Pulmonary Opacities as Perifissural Nodules : Reader Variability

enthalten in: Radiology | 2018

von Schreuder, A. | van Ginneken, B. | Scholten, E. | +6

Lung-RADS Category 4X : Does It Improve Prediction of Malignancy in Subsolid Nodules?

enthalten in: Radiology | 2017

von Chung, K. | Jacobs, C. | Scholten, E. | +9

Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management

enthalten in: Radiology | 2015

von van Riel, S. | Sánchez, C. | Bankier, A. | +11

Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management

enthalten in: Radiology | 2015

von van Riel, S. | Sánchez, C. | Bankier, A. | +11