Concetta Piazzese

According to our database, Concetta Piazzese authored at least 8 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Deep Generative Classification of Blood Cell Morphology.

Simon Deltadahl, Julian D. Gilbey, Christine van Laer, Nancy Boeckx, Mathie Leers, Tanya Freeman, Laura Aiken, Timothy Farren, Matthew Smith, Mohamad Zeina, BloodCounts Consortium, Concetta Piazzese, Joseph Taylor, Nicholas S. Gleadall, Carola-Bibiane Schönlieb, Suthesh Sivapalaratnam, Michael Roberts, Parashkev Nachev

CoRR, 2024

2020

3D right ventricular endocardium segmentation in cardiac magnetic resonance images by using a new inter-modality statistical shape modelling method.

Concetta Piazzese, Maria Chiara Carminati, Rolf Krause, Angelo Auricchio, Lynn Weinert, Paola Gripari, Gloria Tamborini, Gianluca Pontone, Daniele Andreini, Roberto M. Lang, Mauro Pepi, Enrico G. Caiani

Biomed. Signal Process. Control., 2020

2018

A statistical shape model of the left ventricle from real-time 3D echocardiography and its application to myocardial segmentation of cardiac magnetic resonance images.

Maria Chiara Carminati, Concetta Piazzese, Mauro Pepi, Gloria Tamborini, Paola Gripari, Gianluca Pontone, Rolf Krause, Angelo Auricchio, Roberto M. Lang, Enrico G. Caiani

Comput. Biol. Medicine, 2018

2016

An inter-modality statistical shape modelling approach for the 3D segmentation of cardiac structures from magnetic resonance images.

Concetta Piazzese

PhD thesis, 2016

Right Ventricular Endocardial Segmentation in CMR Images using a Novel Inter-Modality Statistical Shape Modelling Approach.

Concetta Piazzese, Maria Chiara Carminati, Rolf Krause, Angelo Auricchio, Lynn Weinert, Gloria Tamborini, Mauro Pepi, Roberto M. Lang, Enrico G. Caiani

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015

Evaluation of Different Statistical Shape Models for Segmentation of the Left Ventricular Endocardium from Magnetic Resonance Images.

Concetta Piazzese, Maria Chiara Carminati, Andrea Colombo, Rolf Krause, Mark Potse, Lynn Weinert, Gloria Tamborini, Mauro Pepi, Roberto M. Lang, Enrico G. Caiani

Proceedings of the Computing in Cardiology, 2015

2014

Automated Registration of 3D TEE Datasets of the Descending Aorta for Improved Examination and Quantification of Atheromas Burden.

Maria Chiara Carminati, Concetta Piazzese, Lynn Weinert, Wendy Tsang, Gloria Tamborini, Mauro Pepi, Roberto M. Lang, Enrico Gianluca Caiani

Proceedings of the Biomedical Image Registration - 6th International Workshop, 2014

2013

Semi-automated Detection and Quantification of Aortic Atheromas from Three-Dimensional Transesophageal Echocardiography.

Concetta Piazzese, Wendy Tsang, Miguel Sotaquira, Roberto M. Lang, Enrico G. Caiani

Proceedings of the Computing in Cardiology, 2013