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Marco Caballo

Showing results (11-20 of 24) with videos related to

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Journal of Magnetic Resonance Imaging : JMRI|May 28, 2022
Four-Dimensional Machine Learning Radiomics for the Pretreatment Assessment of Breast Cancer Pathologic Complete Response to Neoadjuvant Chemotherapy in Dynamic Contrast-Enhanced MRIMarco Caballo, Wendelien B G Sanderink, Luyi Han, et al.
Medical Physics|May 16, 2018
Quantitative analysis of thyroid tumors vascularity: A comparison between 3-D contrast-enhanced ultrasound and 3-D Power Doppler on benign and malignant thyroid nodulesCristina Caresio, Marco Caballo, Maurilio Deandrea, et al.
Medical Physics|January 16, 2021
Fibroglandular tissue distribution in the breast during mammography and tomosynthesis based on breast CT data: A patient-based characterization of the breast parenchymaChristian Fedon, Marco Caballo, Eloy García, et al.
The International Journal of Cardiovascular Imaging|March 9, 2026
Clinical evaluation of a motion correction software based on partial angle reconstruction in coronary CT angiographyMarco Caballo, Joanne D Schuijf, Matthew Benbow, et al.
Medical Physics|May 31, 2022
Patient-derived heterogeneous breast phantoms for advanced dosimetry in mammography and tomosynthesisMarco Caballo, Carolina Rabin, Christian Fedon, et al.
Computer Methods and Programs in Biomedicine|February 29, 2020
Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT imagesFloris Heutink, Valentin Koch, Berit Verbist, et al.
Physics in Medicine and Biology|December 8, 2018
Monte Carlo study on optimal breast voxel resolution for dosimetry estimates in digital breast tomosynthesisChristian Fedon, Carolina Rabin, Marco Caballo, et al.
Medical Image Analysis|April 28, 2021
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimationJonas Teuwen, Nikita Moriakov, Christian Fedon, et al.
Journal of Medical Imaging (Bellingham, Wash.)|January 1, 2024
Deep learning-based breast region segmentation in raw and processed digital mammograms: generalization across views and vendorsSarah D Verboom, Marco Caballo, Jim Peters, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 2, 2021
Computer-aided diagnosis of masses in breast computed tomography imaging: deep learning model with combined handcrafted and convolutional radiomic featuresMarco Caballo, Andrew M Hernandez, Su Hyun Lyu, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
Journal of Magnetic Resonance Imaging : JMRI|May 28, 2022
Four-Dimensional Machine Learning Radiomics for the Pretreatment Assessment of Breast Cancer Pathologic Complete Response to Neoadjuvant Chemotherapy in Dynamic Contrast-Enhanced MRIMarco Caballo, Wendelien B G Sanderink, Luyi Han, et al.
Medical Physics|May 16, 2018
Quantitative analysis of thyroid tumors vascularity: A comparison between 3-D contrast-enhanced ultrasound and 3-D Power Doppler on benign and malignant thyroid nodulesCristina Caresio, Marco Caballo, Maurilio Deandrea, et al.
Medical Physics|January 16, 2021
Fibroglandular tissue distribution in the breast during mammography and tomosynthesis based on breast CT data: A patient-based characterization of the breast parenchymaChristian Fedon, Marco Caballo, Eloy García, et al.
The International Journal of Cardiovascular Imaging|March 9, 2026
Clinical evaluation of a motion correction software based on partial angle reconstruction in coronary CT angiographyMarco Caballo, Joanne D Schuijf, Matthew Benbow, et al.
Medical Physics|May 31, 2022
Patient-derived heterogeneous breast phantoms for advanced dosimetry in mammography and tomosynthesisMarco Caballo, Carolina Rabin, Christian Fedon, et al.
Computer Methods and Programs in Biomedicine|February 29, 2020
Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT imagesFloris Heutink, Valentin Koch, Berit Verbist, et al.
Physics in Medicine and Biology|December 8, 2018
Monte Carlo study on optimal breast voxel resolution for dosimetry estimates in digital breast tomosynthesisChristian Fedon, Carolina Rabin, Marco Caballo, et al.
Medical Image Analysis|April 28, 2021
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimationJonas Teuwen, Nikita Moriakov, Christian Fedon, et al.
Journal of Medical Imaging (Bellingham, Wash.)|January 1, 2024
Deep learning-based breast region segmentation in raw and processed digital mammograms: generalization across views and vendorsSarah D Verboom, Marco Caballo, Jim Peters, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 2, 2021
Computer-aided diagnosis of masses in breast computed tomography imaging: deep learning model with combined handcrafted and convolutional radiomic featuresMarco Caballo, Andrew M Hernandez, Su Hyun Lyu, et al.
Pageof 3