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Fabio Zecca

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

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Vascular|June 6, 2024
How to improve epidemiological trustworthiness concerning abdominal aortic aneurysmsFabio Zecca, Gavino Faa, Roberto Sanfilippo, et al.
Skeletal Radiology|August 29, 2025
Whole-body MRI in arthritisFabio Zecca, Denise Dejua, Winston J Rennie, et al.
La Radiologia Medica|July 23, 2025
Whole-body imaging for distant staging of bone chondrosarcoma: a systematic reviewDenise Dejua, Eduardo de Flammineis, Fabio Zecca, et al.
Medical Engineering & Physics|September 6, 2022
Reliability of bioreactance-derived hemodynamic monitoring during simulated sustained gravitational transitions induced by short-arm human centrifugationFabio Zecca, Kwasi Jr Nkansah, Gavin Travers, et al.
Journal of Breast Imaging|February 13, 2026
The Management of Antithrombotic Therapy in Image-Guided Breast Biopsy: A Systematic Review With Meta-AnalysisMario Villani, Fabio Zecca, Falko Ensle, et al.
Insights Into Imaging|January 29, 2025
Deep learning reconstruction of zero-echo time sequences to improve visualization of osseous structures and associated pathologies in MRI of cervical spineMalwina Kaniewska, Fabio Zecca, Carina Obermüller, et al.
AJNR. American Journal of Neuroradiology|March 26, 2025
3D MR Neurography of craniocervical nerves: comparing DESS and post-contrast STIR with deeplearning-based reconstruction at 1.5TFalko Ensle, Fabio Zecca, Bjarne Kerber, et al.
European Journal of Radiology|October 4, 2025
Deep-learning reconstructed 3D MRI for comprehensive knee assessment: Comparison with a multisequence 2D protocol at 1.5 TElizabet Nikolova, Jonas Kroschke, Carina Obermüller, et al.
Skeletal Radiology|July 6, 2026
Deep learning-based chemical shift-artifact correction of ZTE MRI for enhanced bone depiction of the lumbar spineCarina Obermüller, Ulf Bach, Fabio Zecca, et al.
La Radiologia Medica|July 15, 2025
Italian radiologists and dual-energy CT: a state of the art from a shared document by the computed tomography subspecialty section of the Italian society of radiologyMaria Antonietta Mazzei, Alfonso Cerase, Giulio Bagnacci, et al.
Pageof 1

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

Sort By:
Pageof 1
Vascular|June 6, 2024
How to improve epidemiological trustworthiness concerning abdominal aortic aneurysmsFabio Zecca, Gavino Faa, Roberto Sanfilippo, et al.
Skeletal Radiology|August 29, 2025
Whole-body MRI in arthritisFabio Zecca, Denise Dejua, Winston J Rennie, et al.
La Radiologia Medica|July 23, 2025
Whole-body imaging for distant staging of bone chondrosarcoma: a systematic reviewDenise Dejua, Eduardo de Flammineis, Fabio Zecca, et al.
Medical Engineering & Physics|September 6, 2022
Reliability of bioreactance-derived hemodynamic monitoring during simulated sustained gravitational transitions induced by short-arm human centrifugationFabio Zecca, Kwasi Jr Nkansah, Gavin Travers, et al.
Journal of Breast Imaging|February 13, 2026
The Management of Antithrombotic Therapy in Image-Guided Breast Biopsy: A Systematic Review With Meta-AnalysisMario Villani, Fabio Zecca, Falko Ensle, et al.
Insights Into Imaging|January 29, 2025
Deep learning reconstruction of zero-echo time sequences to improve visualization of osseous structures and associated pathologies in MRI of cervical spineMalwina Kaniewska, Fabio Zecca, Carina Obermüller, et al.
AJNR. American Journal of Neuroradiology|March 26, 2025
3D MR Neurography of craniocervical nerves: comparing DESS and post-contrast STIR with deeplearning-based reconstruction at 1.5TFalko Ensle, Fabio Zecca, Bjarne Kerber, et al.
European Journal of Radiology|October 4, 2025
Deep-learning reconstructed 3D MRI for comprehensive knee assessment: Comparison with a multisequence 2D protocol at 1.5 TElizabet Nikolova, Jonas Kroschke, Carina Obermüller, et al.
Skeletal Radiology|July 6, 2026
Deep learning-based chemical shift-artifact correction of ZTE MRI for enhanced bone depiction of the lumbar spineCarina Obermüller, Ulf Bach, Fabio Zecca, et al.
La Radiologia Medica|July 15, 2025
Italian radiologists and dual-energy CT: a state of the art from a shared document by the computed tomography subspecialty section of the Italian society of radiologyMaria Antonietta Mazzei, Alfonso Cerase, Giulio Bagnacci, et al.
Pageof 1