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Colin Jacobs

Showing results (11-20 of 93) with videos related to

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Arxiv|June 19, 2020
Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT ScansWeiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, et al.
Translational Lung Cancer Research|June 24, 2021
Artificial intelligence for detection and characterization of pulmonary nodules in lung cancer CT screening: ready for practice?Anton Schreuder, Ernst T Scholten, Bram van Ginneken, et al.
Medical Physics|October 3, 2015
Automatic detection of large pulmonary solid nodules in thoracic CT imagesArnaud A A Setio, Colin Jacobs, Jaap Gelderblom, et al.
Nederlands Tijdschrift Voor Geneeskunde|June 24, 2025
[Incidental pulmonary nodules on CT imaging: what to do?]Erik H F M van der Heijden, Miranda Snoeren, Colin Jacobs
Cognition|April 24, 2022
Not just what you did, but how: Children see distributors that count as more fair than distributors who don'tColin Jacobs, Madison Flowers, Rosie Aboody, et al.
Lung Cancer (Amsterdam, Netherlands)|April 18, 2021
Microsimulation modeling of extended annual CT screening among lung cancer cases in the National Lung Screening TrialAnton Schreuder, Onno M Mets, Cornelia M Schaefer-Prokop, et al.
Scientific Reports|August 29, 2023
Emphysema subtyping on thoracic computed tomography scans using deep neural networksWeiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, et al.
European Radiology|May 7, 2026
Commercial AI for CT lung cancer screening: product capabilities, coverage of nodule management tasks and supporting evidenceNoa Antonissen, Steven Schalekamp, Horst K Hahn, et al.
Physics in Medicine and Biology|March 8, 2018
Efficient organ localization using multi-label convolutional neural networks in thorax-abdomen CT scansGabriel Efrain Humpire-Mamani, Arnaud Arindra Adiyoso Setio, Bram van Ginneken, et al.
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.
Pageof 10

Showing results (11-20 of 93) with videos related to

Sort By:
Pageof 10
Arxiv|June 19, 2020
Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT ScansWeiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, et al.
Translational Lung Cancer Research|June 24, 2021
Artificial intelligence for detection and characterization of pulmonary nodules in lung cancer CT screening: ready for practice?Anton Schreuder, Ernst T Scholten, Bram van Ginneken, et al.
Medical Physics|October 3, 2015
Automatic detection of large pulmonary solid nodules in thoracic CT imagesArnaud A A Setio, Colin Jacobs, Jaap Gelderblom, et al.
Nederlands Tijdschrift Voor Geneeskunde|June 24, 2025
[Incidental pulmonary nodules on CT imaging: what to do?]Erik H F M van der Heijden, Miranda Snoeren, Colin Jacobs
Cognition|April 24, 2022
Not just what you did, but how: Children see distributors that count as more fair than distributors who don'tColin Jacobs, Madison Flowers, Rosie Aboody, et al.
Lung Cancer (Amsterdam, Netherlands)|April 18, 2021
Microsimulation modeling of extended annual CT screening among lung cancer cases in the National Lung Screening TrialAnton Schreuder, Onno M Mets, Cornelia M Schaefer-Prokop, et al.
Scientific Reports|August 29, 2023
Emphysema subtyping on thoracic computed tomography scans using deep neural networksWeiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, et al.
European Radiology|May 7, 2026
Commercial AI for CT lung cancer screening: product capabilities, coverage of nodule management tasks and supporting evidenceNoa Antonissen, Steven Schalekamp, Horst K Hahn, et al.
Physics in Medicine and Biology|March 8, 2018
Efficient organ localization using multi-label convolutional neural networks in thorax-abdomen CT scansGabriel Efrain Humpire-Mamani, Arnaud Arindra Adiyoso Setio, Bram van Ginneken, et al.
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.
Pageof 10