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Antonio Portaluri

Showing results (1-10 of 15) with videos related to

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European Radiology|January 13, 2026
Reading the future: how AI rewrites mammography workflowsTianyu Zhang, Antonio Portaluri, Ritse M Mann
European Radiology|September 30, 2024
Do we need to monitor B3 lesions?Maria Adele Marino, Antonio Portaluri, Carmelo Sofia
European Journal of Radiology|March 4, 2025
Breast cancer staging with contrast-enhanced imaging. The benefits and drawbacks of MRI, CEM, and dedicated breast CTMarialena Tsarouchi, Alma Hoxhaj, Antonio Portaluri, et al.
Radiology Case Reports|January 2, 2023
Male breast: An unusual case of metastasis of squamous cell carcinoma of the skinAntonio Portaluri, Carmelo Sofia, Francesca Catanzariti, et al.
Diagnostics (Basel, Switzerland)|April 12, 2025
Neuroendocrine Tumor Metastases to the Breast Mimic Breast Primary Carcinoma: Mammography and Multimodality US Assessment in Challenging Differential DiagnosisFrancesco Marcello Aricò, Antonio Portaluri, Francesca Catanzariti, et al.
La Radiologia Medica|January 22, 2026
Can the new combined CEUS-BI-RADS score (CB score) reduce the number of breast false positive biopsies? Results from a monocentric studyAntonio Portaluri, Renato Trimarchi, Xin Wang, et al.
La Radiologia Medica|May 30, 2026
Exploring shear-wave elastography and apparent diffusion coefficient in breast lesion characterization: diagnostic accuracy and inter-modality correlationFrancesco Marcello Aricò, Antonio Portaluri, Pasquale Arena, et al.
Current Medical Imaging|November 29, 2022
Artificial Intelligence in Breast Imaging: A Special Focus on Advances in Digital Mammography & Digital Breast TomosynthesisDaly Avendaño, Carmelo Sofia, Pedro Zapata, et al.
Diagnostics (Basel, Switzerland)|December 22, 2023
Male Breast: A Review of the Literature and Current State of the Art of Diagnostic Imaging Work-UpAnna D'Angelo, Antonio Portaluri, Flavia Caprini, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
Multi-modal Longitudinal Representation Learning for Predicting Neoadjuvant Therapy Response in Breast Cancer TreatmentYuan Gao, Tao Tan, Xin Wang, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
European Radiology|January 13, 2026
Reading the future: how AI rewrites mammography workflowsTianyu Zhang, Antonio Portaluri, Ritse M Mann
European Radiology|September 30, 2024
Do we need to monitor B3 lesions?Maria Adele Marino, Antonio Portaluri, Carmelo Sofia
European Journal of Radiology|March 4, 2025
Breast cancer staging with contrast-enhanced imaging. The benefits and drawbacks of MRI, CEM, and dedicated breast CTMarialena Tsarouchi, Alma Hoxhaj, Antonio Portaluri, et al.
Radiology Case Reports|January 2, 2023
Male breast: An unusual case of metastasis of squamous cell carcinoma of the skinAntonio Portaluri, Carmelo Sofia, Francesca Catanzariti, et al.
Diagnostics (Basel, Switzerland)|April 12, 2025
Neuroendocrine Tumor Metastases to the Breast Mimic Breast Primary Carcinoma: Mammography and Multimodality US Assessment in Challenging Differential DiagnosisFrancesco Marcello Aricò, Antonio Portaluri, Francesca Catanzariti, et al.
La Radiologia Medica|January 22, 2026
Can the new combined CEUS-BI-RADS score (CB score) reduce the number of breast false positive biopsies? Results from a monocentric studyAntonio Portaluri, Renato Trimarchi, Xin Wang, et al.
La Radiologia Medica|May 30, 2026
Exploring shear-wave elastography and apparent diffusion coefficient in breast lesion characterization: diagnostic accuracy and inter-modality correlationFrancesco Marcello Aricò, Antonio Portaluri, Pasquale Arena, et al.
Current Medical Imaging|November 29, 2022
Artificial Intelligence in Breast Imaging: A Special Focus on Advances in Digital Mammography & Digital Breast TomosynthesisDaly Avendaño, Carmelo Sofia, Pedro Zapata, et al.
Diagnostics (Basel, Switzerland)|December 22, 2023
Male Breast: A Review of the Literature and Current State of the Art of Diagnostic Imaging Work-UpAnna D'Angelo, Antonio Portaluri, Flavia Caprini, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
Multi-modal Longitudinal Representation Learning for Predicting Neoadjuvant Therapy Response in Breast Cancer TreatmentYuan Gao, Tao Tan, Xin Wang, et al.
Pageof 2