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Marco Caballo

Showing results (1-10 of 24) with videos related to

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Medical Physics|August 29, 2018
Patient-based 4D digital breast phantom for perfusion contrast-enhanced breast CT imagingMarco Caballo, Ritse Mann, Ioannis Sechopoulos
Medical Physics|June 30, 2018
Internal breast dosimetry in mammography: Monte Carlo validation in homogeneous and anthropomorphic breast phantoms with a clinical mammography systemChristian Fedon, Marco Caballo, Ioannis Sechopoulos
Physics in Medicine and Biology|November 9, 2019
Towards 4D dedicated breast CT perfusion imaging of cancer: development and validation of computer simulated imagesMarco Caballo, Koen Michielsen, Christian Fedon, et al.
Medical Physics|April 21, 2018
An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography imagesMarco Caballo, John M Boone, Ritse Mann, et al.
Medical Physics|February 7, 2018
Internal breast dosimetry in mammography: Experimental methods and Monte Carlo validation with a monoenergetic x-ray beamChristian Fedon, Marco Caballo, Renata Longo, et al.
Computers in Biology and Medicine|March 17, 2020
Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligenceMarco Caballo, Domenico R Pangallo, Ritse M Mann, et al.
Physics in Medicine and Biology|November 13, 2018
Development of 3D patient-based super-resolution digital breast phantoms using machine learningMarco Caballo, Christian Fedon, Luca Brombal, et al.
Journal of Medical Imaging and Radiation Sciences|November 5, 2025
Quantitative evaluation of an artificial intelligence-assisted platform in CT acquisition workflowMarco Caballo, Laura McLennan, Matthew Benbow, et al.
Medical Physics|December 24, 2022
Deep learning for x-ray scatter correction in dedicated breast CTJuan J Pautasso, Marco Caballo, Mikhail Mikerov, et al.
Medical Physics|March 18, 2025
An unsupervised approach for projection binning to reduce motion artifacts in free-breathing animal modelsMostafa K Ismail, Kai Ruppert, Marco Caballo, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Medical Physics|August 29, 2018
Patient-based 4D digital breast phantom for perfusion contrast-enhanced breast CT imagingMarco Caballo, Ritse Mann, Ioannis Sechopoulos
Medical Physics|June 30, 2018
Internal breast dosimetry in mammography: Monte Carlo validation in homogeneous and anthropomorphic breast phantoms with a clinical mammography systemChristian Fedon, Marco Caballo, Ioannis Sechopoulos
Physics in Medicine and Biology|November 9, 2019
Towards 4D dedicated breast CT perfusion imaging of cancer: development and validation of computer simulated imagesMarco Caballo, Koen Michielsen, Christian Fedon, et al.
Medical Physics|April 21, 2018
An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography imagesMarco Caballo, John M Boone, Ritse Mann, et al.
Medical Physics|February 7, 2018
Internal breast dosimetry in mammography: Experimental methods and Monte Carlo validation with a monoenergetic x-ray beamChristian Fedon, Marco Caballo, Renata Longo, et al.
Computers in Biology and Medicine|March 17, 2020
Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligenceMarco Caballo, Domenico R Pangallo, Ritse M Mann, et al.
Physics in Medicine and Biology|November 13, 2018
Development of 3D patient-based super-resolution digital breast phantoms using machine learningMarco Caballo, Christian Fedon, Luca Brombal, et al.
Journal of Medical Imaging and Radiation Sciences|November 5, 2025
Quantitative evaluation of an artificial intelligence-assisted platform in CT acquisition workflowMarco Caballo, Laura McLennan, Matthew Benbow, et al.
Medical Physics|December 24, 2022
Deep learning for x-ray scatter correction in dedicated breast CTJuan J Pautasso, Marco Caballo, Mikhail Mikerov, et al.
Medical Physics|March 18, 2025
An unsupervised approach for projection binning to reduce motion artifacts in free-breathing animal modelsMostafa K Ismail, Kai Ruppert, Marco Caballo, et al.
Pageof 3