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Samuel G Armato

Showing results (11-20 of 133) with videos related to

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Medical Physics|February 11, 2020
Biomedical image analysis challenges should be considered as an academic exercise, not an instrument that will move the field forward in a real, practical waySamuel G Armato, Keyvan Farahani, Habib Zaidi
The British Journal of Radiology|September 12, 2023
AI in medical imaging grand challenges: translation from competition to research benefit and patient careSamuel G Armato, Karen Drukker, Lubomir Hadjiiski
IEEE Transactions on Medical Imaging|April 13, 2005
Vessel tree reconstruction in thoracic CT scans with application to nodule detectionGady Agam, Samuel G Armato, Changhua Wu
Medical Physics|January 8, 2015
Point/counterpoint. "Hybrid gold" is the most appropriate open-access modality for journals like Medical PhysicsSamuel G Armato, Clive Baldock, Colin G Orton
Medical Physics|March 19, 2009
A modified gradient correlation filter for image segmentation: application to airway and bowelWilliam F Sensakovic, Adam Starkey, Samuel G Armato
Medical Physics|October 12, 2007
Two-dimensional extrapolation methods for texture analysis on CT scansWilliam F Sensakovic, Adam Starkey, Samuel G Armato
Journal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
Deep convolutional neural networks for the automated segmentation of malignant pleural mesothelioma on computed tomography scansEyjolfur Gudmundsson, Christopher M Straus, Samuel G Armato
Lung Cancer (Amsterdam, Netherlands)|March 15, 2006
Modeling of mesothelioma growth demonstrates weaknesses of current response criteriaGeoffrey R Oxnard, Samuel G Armato, Hedy L Kindler
Chest|October 9, 2019
ResponseHeber MacMahon, Feng Li, Yulei Jiang, et al.
Journal of Medical Imaging (Bellingham, Wash.)|December 29, 2023
Magnetic resonance imaging preprocessing and radiomic features for classification of autosomal dominant polycystic kidney disease genotypeLinnea E Kremer, Arlene B Chapman, Samuel G Armato
Pageof 14

Showing results (11-20 of 133) with videos related to

Sort By:
Pageof 14
Medical Physics|February 11, 2020
Biomedical image analysis challenges should be considered as an academic exercise, not an instrument that will move the field forward in a real, practical waySamuel G Armato, Keyvan Farahani, Habib Zaidi
The British Journal of Radiology|September 12, 2023
AI in medical imaging grand challenges: translation from competition to research benefit and patient careSamuel G Armato, Karen Drukker, Lubomir Hadjiiski
IEEE Transactions on Medical Imaging|April 13, 2005
Vessel tree reconstruction in thoracic CT scans with application to nodule detectionGady Agam, Samuel G Armato, Changhua Wu
Medical Physics|January 8, 2015
Point/counterpoint. "Hybrid gold" is the most appropriate open-access modality for journals like Medical PhysicsSamuel G Armato, Clive Baldock, Colin G Orton
Medical Physics|March 19, 2009
A modified gradient correlation filter for image segmentation: application to airway and bowelWilliam F Sensakovic, Adam Starkey, Samuel G Armato
Medical Physics|October 12, 2007
Two-dimensional extrapolation methods for texture analysis on CT scansWilliam F Sensakovic, Adam Starkey, Samuel G Armato
Journal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
Deep convolutional neural networks for the automated segmentation of malignant pleural mesothelioma on computed tomography scansEyjolfur Gudmundsson, Christopher M Straus, Samuel G Armato
Lung Cancer (Amsterdam, Netherlands)|March 15, 2006
Modeling of mesothelioma growth demonstrates weaknesses of current response criteriaGeoffrey R Oxnard, Samuel G Armato, Hedy L Kindler
Chest|October 9, 2019
ResponseHeber MacMahon, Feng Li, Yulei Jiang, et al.
Journal of Medical Imaging (Bellingham, Wash.)|December 29, 2023
Magnetic resonance imaging preprocessing and radiomic features for classification of autosomal dominant polycystic kidney disease genotypeLinnea E Kremer, Arlene B Chapman, Samuel G Armato
Pageof 14