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Computers in Biology and Medicine
|
March 27, 2007
Characterization of mammographic masses using a gradient-based segmentation algorithm and a neural classifier
Pasquale Delogu, Maria Evelina Fantacci, Parnian Kasae, et al.
Australasian Physical & Engineering Sciences in Medicine
|
May 9, 2018
Computed tomography imaging with the Adaptive Statistical Iterative Reconstruction (ASIR) algorithm: dependence of image quality on the blending level of reconstruction
Patrizio Barca, Marco Giannelli, Maria Evelina Fantacci, et al.
Hippocampus
|
February 12, 2017
Hippocampal subfields at ultra high field MRI: An overview of segmentation and measurement methods
Alessia Giuliano, Graziella Donatelli, Mirco Cosottini, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging
|
October 8, 2014
Predictive Models Based on Support Vector Machines: Whole-Brain versus Regional Analysis of Structural MRI in the Alzheimer's Disease
Alessandra Retico, Paolo Bosco, Piergiorgio Cerello, et al.
Australasian Physical & Engineering Sciences in Medicine
|
November 16, 2019
Comprehensive assessment of image quality in synthetic and digital mammography: a quantitative comparison
Patrizio Barca, Rocco Lamastra, Giacomo Aringhieri, et al.
Physics in Medicine and Biology
|
February 3, 2021
Normalized glandular dose coefficients for digital breast tomosynthesis systems with a homogeneous breast model
Antonio Sarno, Raffaele Maria Tucciariello, Giovanni Mettivier, et al.
Artificial Intelligence in Medicine
|
September 25, 2020
Dealing with confounders and outliers in classification medical studies: The Autism Spectrum Disorders case study
Elisa Ferrari, Paolo Bosco, Sara Calderoni, et al.
Plos One
|
January 14, 2021
A comprehensive assessment of physical image quality of five different scanners for head CT imaging as clinically used at a single hospital centre-A phantom study
Patrizio Barca, Fabio Paolicchi, Giacomo Aringhieri, et al.
Computational and Structural Biotechnology Journal
|
July 2, 2025
An explainable-by-design end-to-end AI framework based on prototypical part learning for lesion detection and classification in Digital Breast Tomosynthesis images
Andrea Berti, Camilla Scapicchio, Chiara Iacconi, et al.
Physical and Engineering Sciences in Medicine
|
November 23, 2020
Technical evaluation of image quality in synthetic mammograms obtained from 15° and 40° digital breast tomosynthesis in a commercial system: a quantitative comparison
Patrizio Barca, Rocco Lamastra, Raffaele Maria Tucciariello, et al.
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Search research articles
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Showing results (1-10 of 24) with videos related to
Sort By:
Page
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Computers in Biology and Medicine
|
March 27, 2007
Characterization of mammographic masses using a gradient-based segmentation algorithm and a neural classifier
Pasquale Delogu, Maria Evelina Fantacci, Parnian Kasae, et al.
Australasian Physical & Engineering Sciences in Medicine
|
May 9, 2018
Computed tomography imaging with the Adaptive Statistical Iterative Reconstruction (ASIR) algorithm: dependence of image quality on the blending level of reconstruction
Patrizio Barca, Marco Giannelli, Maria Evelina Fantacci, et al.
Hippocampus
|
February 12, 2017
Hippocampal subfields at ultra high field MRI: An overview of segmentation and measurement methods
Alessia Giuliano, Graziella Donatelli, Mirco Cosottini, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging
|
October 8, 2014
Predictive Models Based on Support Vector Machines: Whole-Brain versus Regional Analysis of Structural MRI in the Alzheimer's Disease
Alessandra Retico, Paolo Bosco, Piergiorgio Cerello, et al.
Australasian Physical & Engineering Sciences in Medicine
|
November 16, 2019
Comprehensive assessment of image quality in synthetic and digital mammography: a quantitative comparison
Patrizio Barca, Rocco Lamastra, Giacomo Aringhieri, et al.
Physics in Medicine and Biology
|
February 3, 2021
Normalized glandular dose coefficients for digital breast tomosynthesis systems with a homogeneous breast model
Antonio Sarno, Raffaele Maria Tucciariello, Giovanni Mettivier, et al.
Artificial Intelligence in Medicine
|
September 25, 2020
Dealing with confounders and outliers in classification medical studies: The Autism Spectrum Disorders case study
Elisa Ferrari, Paolo Bosco, Sara Calderoni, et al.
Plos One
|
January 14, 2021
A comprehensive assessment of physical image quality of five different scanners for head CT imaging as clinically used at a single hospital centre-A phantom study
Patrizio Barca, Fabio Paolicchi, Giacomo Aringhieri, et al.
Computational and Structural Biotechnology Journal
|
July 2, 2025
An explainable-by-design end-to-end AI framework based on prototypical part learning for lesion detection and classification in Digital Breast Tomosynthesis images
Andrea Berti, Camilla Scapicchio, Chiara Iacconi, et al.
Physical and Engineering Sciences in Medicine
|
November 23, 2020
Technical evaluation of image quality in synthetic mammograms obtained from 15° and 40° digital breast tomosynthesis in a commercial system: a quantitative comparison
Patrizio Barca, Rocco Lamastra, Raffaele Maria Tucciariello, et al.
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