Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Daniele Panfilo"'
Autor:
Daniele Panfilo, Alexander Boudewijn, Sebastiano Saccani, Andrea Coser, Borut Svara, Carlo Rossi Chauvenet, Ciro Antonio Mami, Eric Medvet
Publikováno v:
IEEE Access, Vol 11, Pp 63306-63323 (2023)
The recent and rapid progresses in Machine Learning (ML) tools and methodologies paved the way for an accessible market of ML services. In principle, small and medium-sized enterprises, as well as big companies, could act as providers and consumers o
Externí odkaz:
https://doaj.org/article/7a1074ef5a0140e1a3fc8511d47bd3ea
Autor:
Matteo Vittori, Antonio Luigi Pastore, Guglielmo Mantica, Mino Rizzo, Andrea Tubaro, Giovanni Muto, S. Saccani, L. Cindolo, Y. Al Salhi, Giovanni Novella, Luigi Schips, P. Bove, P. Castellan, Andrea Minervini, Giorgio Bozzini, A. Isepp, Luca Sarchi, Mario Falsaperla, Bernardo Rocco, R.G. Bertolo, Angelo Porreca, A. Antonelli, Marco Giampaoli, Filippo Mugavero, A. Celia, C. De Nunzio, Giovannalberto Pini, Riccardo Lombardo, Daniele Panfilo, Maida Bada
Publikováno v:
European Urology Open Science, Vol 20, Iss, Pp S47-(2020)
Autor:
Alessandro Antonelli, Giorgio Bozzini, Mino Rizzo, Riccardo Lombardo, Bertolo Riccardo, Matteo Vittori, Giovanni Novella, Mario Falsaperla, Luca Sarchi, Francesco Sessa, A. Iseppi, Antonio Celia, Cosimo De Nunzio, Nicolò Trabacchin, Maida Bada, Pierluigi Bove, Riccardo Rizzetto, Giovannalberto Pini, Pietro Castellan, Filippo Mugavero, Bernardo Rocco, Antonio Luigi Pastore, Luca Cindolo, Giampaoli Marco, Andrea Minervini, Angelo Porreca, Daniele Panfilo, Sebastiano Saccani, Al Salhi Yazan, Luigi Schips, Andrea Tubaro, Mantica Guglielmo, Gianluca Muto
Publikováno v:
Journal of Urology. 203
Autor:
Berthold Stegemann, David G. Wilson, Daniele Panfilo, Saul E Greenhut, John M. Morgan, Peter L Cronbach
Publikováno v:
International Journal of Cardiology. 236:194-197
Introduction Techniques exist which allow surface ECGs to be reconstructed from reduced lead sets. We aimed to reconstruct an 8-lead ECG from two independent S-ICD sensing electrodes vectors as proof of this principle. Methods Participants with ICDs
Autor:
Saul E Greenhut, John M. Morgan, Peter L Cronbach, Daniele Panfilo, Berthold Stegemann, David G. Wilson
Publikováno v:
Data in Brief, Vol 11, Iss C, Pp 611-616 (2017)
Data in Brief
Data in Brief
The article contains data pertaining to the reconstruction of an 8-lead ECG from 2 subcutaneous implantable cardioverter defibrillator vectors. The location of electrodes on the precordium required for the data collection are detailed; the flow chart
Autor:
Daniele Panfilo, Cosimo De Nunzio, Antonio Luigi Pastore, Sebastiano Saccani, Boudewijnb Alexander, Pietro Tortella, Manuela Mattioli, Riccardo Lombardo, Antonio Carbone, Andrea Fuschi, Lorenzo Dutto, Joern Witt, Eric Medvet, Andrea Tubaro
Publikováno v:
Journal of Urology. 201
Autor:
Andrea Fuschi, L. Dutto, A. Boudewijn, Antonio Luigi Pastore, Andrea Tubaro, Manuela Mattioli, Eric Medvet, Riccardo Lombardo, S. Saccani, C. De Nunzio, Joern H. Witt, Daniele Panfilo, Pietro Tortella, Antonio Carbone
INTRODUCTION AND OBJECTIVES:Several nomograms have been developed to predict prostate cancer upgrading however very little artificial intelligence (AI) tools are available for this purpose. Aim of ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::167df118a55b443a43c24cefe34cdf9c
http://hdl.handle.net/11368/2940292
http://hdl.handle.net/11368/2940292
Autor:
Peter L Cronbach, David G Wilson, Saul E Greenhut, Berthold Stegemann, Daniele Panfilo, John M Morgan
Publikováno v:
Circulation. 132
Background: Data from reduced lead ECG configurations can be transformed to reconstruct a 12-lead ECG. The sensing electrodes of a subcutaneous ICD (S-ICD) could provide a suitable basis for such a system. Reconstruction of a 12-lead ECG from convent
Publikováno v:
Scopus-Elsevier
ICPRAM
ICPRAM
We consider the task of segmentation of images of mosaics, where the goal is to segment the image in such a way that each region corresponds exactly to one tile of the mosaic. We propose to use a recent deep learning technique based on a kind of conv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28ad2c112f292b123622e24c4cd91048
http://www.scopus.com/inward/record.url?eid=2-s2.0-85082986337&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85082986337&partnerID=MN8TOARS