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Colin Jacobs

Showing results (21-30 of 93) with videos related to

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Child Development|May 19, 2026
Children in Kenya and the US are averse to epistemic injusticeColin Jacobs, Oded Ritov, Emily Chau, et al.
Scientific Reports|August 14, 2019
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep networkGuilherme Aresta, Colin Jacobs, Teresa Araújo, et al.
Radiology. Cardiothoracic Imaging|March 29, 2021
Typical CT Features of Intrapulmonary Lymph Nodes: A ReviewAnton Schreuder, Colin Jacobs, Ernst T Scholten, et al.
European Radiology|March 5, 2025
Artificial intelligence for the detection of airway nodules in chest CT scansWard Hendrix, Nils Hendrix, Ernst T Scholten, et al.
Radiology. Artificial Intelligence|May 3, 2021
Fully Automatic Volume Measurement of the Spleen at CT Using Deep LearningGabriel E Humpire-Mamani, Joris Bukala, Ernst T Scholten, et al.
AJR. American Journal of Roentgenology|July 25, 2012
Normal range of emphysema and air trapping on CT in young menOnno M Mets, Robert A van Hulst, Colin Jacobs, et al.
European Radiology|July 24, 2025
Artificial intelligence in radiology: 173 commercially available products and their scientific evidenceNoa Antonissen, Olga Tryfonos, Ignas B Houben, et al.
Thorax|April 1, 2018
Lung cancer risk to personalise annual and biennial follow-up computed tomography screeningAnton Schreuder, Cornelia M Schaefer-Prokop, Ernst T Scholten, et al.
Plos One|February 22, 2019
Predicting all-cause and lung cancer mortality using emphysema score progression rate between baseline and follow-up chest CT images: A comparison of risk model performancesAnton Schreuder, Colin Jacobs, Leticia Gallardo-Estrella, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Computer-aided detection of ground glass nodules in thoracic CT images using shape, intensity and context featuresColin Jacobs, Clara I Sánchez, Stefan C Saur, et al.
Pageof 10

Showing results (21-30 of 93) with videos related to

Sort By:
Pageof 10
Child Development|May 19, 2026
Children in Kenya and the US are averse to epistemic injusticeColin Jacobs, Oded Ritov, Emily Chau, et al.
Scientific Reports|August 14, 2019
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep networkGuilherme Aresta, Colin Jacobs, Teresa Araújo, et al.
Radiology. Cardiothoracic Imaging|March 29, 2021
Typical CT Features of Intrapulmonary Lymph Nodes: A ReviewAnton Schreuder, Colin Jacobs, Ernst T Scholten, et al.
European Radiology|March 5, 2025
Artificial intelligence for the detection of airway nodules in chest CT scansWard Hendrix, Nils Hendrix, Ernst T Scholten, et al.
Radiology. Artificial Intelligence|May 3, 2021
Fully Automatic Volume Measurement of the Spleen at CT Using Deep LearningGabriel E Humpire-Mamani, Joris Bukala, Ernst T Scholten, et al.
AJR. American Journal of Roentgenology|July 25, 2012
Normal range of emphysema and air trapping on CT in young menOnno M Mets, Robert A van Hulst, Colin Jacobs, et al.
European Radiology|July 24, 2025
Artificial intelligence in radiology: 173 commercially available products and their scientific evidenceNoa Antonissen, Olga Tryfonos, Ignas B Houben, et al.
Thorax|April 1, 2018
Lung cancer risk to personalise annual and biennial follow-up computed tomography screeningAnton Schreuder, Cornelia M Schaefer-Prokop, Ernst T Scholten, et al.
Plos One|February 22, 2019
Predicting all-cause and lung cancer mortality using emphysema score progression rate between baseline and follow-up chest CT images: A comparison of risk model performancesAnton Schreuder, Colin Jacobs, Leticia Gallardo-Estrella, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Computer-aided detection of ground glass nodules in thoracic CT images using shape, intensity and context featuresColin Jacobs, Clara I Sánchez, Stefan C Saur, et al.
Pageof 10