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Colin Jacobs

Showing results (41-50 of 93) with videos related to

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IEEE Transactions on Medical Imaging|November 25, 2014
Bag-of-frequencies: a descriptor of pulmonary nodules in computed tomography imagesFrancesco Ciompi, Colin Jacobs, Ernst Th Scholten, et al.
Investigative Radiology|December 6, 2014
Solid, part-solid, or non-solid?: classification of pulmonary nodules in low-dose chest computed tomography by a computer-aided diagnosis systemColin Jacobs, Eva M van Rikxoort, Ernst Th Scholten, et al.
European Radiology|April 26, 2017
Malignancy estimation of Lung-RADS criteria for subsolid nodules on CT: accuracy of low and high risk spectrum when using NLST nodulesKaman Chung, Colin Jacobs, Ernst T Scholten, et al.
Plos One|February 14, 2018
Visual discrimination of screen-detected persistent from transient subsolid nodules: An observer studyKaman Chung, Francesco Ciompi, Ernst T Scholten, 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.
European Radiology|July 15, 2025
Performance of a screening-trained DL model for pulmonary nodule malignancy estimation of incidental clinical nodulesRenate Dinnessen, Dré Peeters, Noa Antonissen, et al.
Plos One|December 12, 2017
Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortalityLeticia Gallardo-Estrella, Esther Pompe, Pim A de Jong, et al.
Radiology|July 4, 2018
Classification of CT Pulmonary Opacities as Perifissural Nodules: Reader VariabilityAnton Schreuder, Bram van Ginneken, Ernst T Scholten, et al.
Cancers|July 2, 2021
CT-Detected Subsolid Nodules: A Predictor of Lung Cancer Development at Another Location?Anton Schreuder, Mathias Prokop, Ernst T Scholten, et al.
European Radiology|March 27, 2024
Enhancing a deep learning model for pulmonary nodule malignancy risk estimation in chest CT with uncertainty estimationDré Peeters, Natália Alves, Kiran V Venkadesh, et al.
Pageof 10

Showing results (41-50 of 93) with videos related to

Sort By:
Pageof 10
IEEE Transactions on Medical Imaging|November 25, 2014
Bag-of-frequencies: a descriptor of pulmonary nodules in computed tomography imagesFrancesco Ciompi, Colin Jacobs, Ernst Th Scholten, et al.
Investigative Radiology|December 6, 2014
Solid, part-solid, or non-solid?: classification of pulmonary nodules in low-dose chest computed tomography by a computer-aided diagnosis systemColin Jacobs, Eva M van Rikxoort, Ernst Th Scholten, et al.
European Radiology|April 26, 2017
Malignancy estimation of Lung-RADS criteria for subsolid nodules on CT: accuracy of low and high risk spectrum when using NLST nodulesKaman Chung, Colin Jacobs, Ernst T Scholten, et al.
Plos One|February 14, 2018
Visual discrimination of screen-detected persistent from transient subsolid nodules: An observer studyKaman Chung, Francesco Ciompi, Ernst T Scholten, 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.
European Radiology|July 15, 2025
Performance of a screening-trained DL model for pulmonary nodule malignancy estimation of incidental clinical nodulesRenate Dinnessen, Dré Peeters, Noa Antonissen, et al.
Plos One|December 12, 2017
Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortalityLeticia Gallardo-Estrella, Esther Pompe, Pim A de Jong, et al.
Radiology|July 4, 2018
Classification of CT Pulmonary Opacities as Perifissural Nodules: Reader VariabilityAnton Schreuder, Bram van Ginneken, Ernst T Scholten, et al.
Cancers|July 2, 2021
CT-Detected Subsolid Nodules: A Predictor of Lung Cancer Development at Another Location?Anton Schreuder, Mathias Prokop, Ernst T Scholten, et al.
European Radiology|March 27, 2024
Enhancing a deep learning model for pulmonary nodule malignancy risk estimation in chest CT with uncertainty estimationDré Peeters, Natália Alves, Kiran V Venkadesh, et al.
Pageof 10