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Machine learning enables noninvasive prediction of atrial ...unizar.es
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von G Luongo · Zitiert von: 25 — Giorgio Luongo, MSc,* Luca Azzolin, MSc,* Steffen Schuler, MSc,*. Massimo W. Rivolta, PhD,. †. Tiago P. Almeida, PhD,. ‡. Juan P. Martínez, PhD,.
Giorgio Luongo | Scinapsewww.scinapse.io › authors
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Giorgio Luongo. Karlsruhe Institute of Technology. Machine learningInternal medicineArtificial intelligenceCardiologyPattern recognitionSinus rhythmCatheter ...
A Multiscale In Silico Study to Characterize the Atrial ...google.de
books.google.de
Jorge Sánchez, Giorgio Luongo, Mark Nothstein, Laura Unger, Javier Saiz, Beatriz Trenor, Armin Luik, Olaf Dössel, Axel Loewe, Using Machine Learning to ...
Innovative Treatment Strategies for Clinical Electrophysiologygoogle.de
books.google.de
Axel Loewe, Giorgio Luongo, and Jorge Sánchez Abstract Machine learning (ML) is a subset of artificial intelligence that mimics the way humans learn and ...
Machine Learning Enables Noninvasive Prediction of Atrial ...Google
books.google.com
Giorgio Luongo, Luca Azzolin, Steffen Schuler, Massimo W. Rivolta, Tiago P. Almeida, Juan P. Martínez, Diogo C. Soriano, Armin Luik, Björn Müller-Edenborn, ...
Hybrid machine learning to localize atrial flutter substrates ...Semantic Scholar
pdfs.semanticscholar.org
von G Luongo · · Zitiert von: 4 — Hybrid machine learning to localize atrial flutter substrates using the surface 12-lead electrocardiogram. Giorgio Luongo. › ...
Hybrid machine learning to localize atrial flutter substrates ...Oxford University Press
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von G Luongo · · Zitiert von: 4 — Giorgio Luongo and Gaetano Vacanti contributed equally to the study. Author Notes. EP Europace, Volume 24, Issue 7, July 2022, Pages 1186–1194, ...
[PDF] Machine learning-based non-invasive prediction of atrial fibrillation ...freidok.uni-freiburg.de › objects › datastreams › FILE2 › content
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· Giorgio Luongo (MSc)1, Luca Azzolin (MSc)1, Steffen Schuler (MSc)1,. Massimo W Rivolta (PhD)2, Tiago P Almeida (PhD)3, Juan P Martínez ...
Innovative Treatment Strategies for Clinical ElectrophysiologySpringer
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Pages Machine Learning for Clinical Electrophysiology. Axel Loewe, Giorgio Luongo, Jorge Sánchez. Pages Cardiac Digital Twin Modeling.
Machine Learning for Clinical Electrophysiology | SpringerLinklink.springer.com › chapter
link.springer.com
vor 4 Tagen · Axel Loewe,; Giorgio Luongo &; Jorge Sánchez. Chapter; First Online: 07 December Part of the Lecture Notes in Bioengineering book ...
KIT - IBT - Über Uns - Team - Alumni - Giorgio Luongo
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WebM.Sc. Giorgio Luongo. Machine learning approaches for a 20 AFl classification using BSPM and RQA images: Masterarbeit: B.Sc. Moritz Lindner. M.Sc. Giorgio Luongo. …
KIT - IBT - Über Uns - Team - Alumni
www.ibt.kit.edu
M.Sc. Giorgio Luongo. Machine learning approaches for a 20 AFl classification using BSPM and RQA images: Masterarbeit: B.Sc. Moritz Lindner. M.Sc. Giorgio Luongo. Non-invasive atrial rotors and focal sources characterization using ECG: Bachelorarbeit: Vincent Nitzke. M.Sc. Giorgio Luongo
Aktionsbündnis Patientensicherheit
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WebDen zweiten Preis für Patientensicherheit in der Medizintechnik erhält Giorgio Luongo vom Karlsruhe Institute of Techlonogy für seinen Beitrag „Machine learning enables …
Hybrid machine learning to localize atrial flutter substrates ...National Institutes of Health (.gov)
pubmed.ncbi.nlm.nih.gov
von G Luongo · · Zitiert von: 4 — Giorgio Luongo , Gaetano Vacanti , Vincent Nitzke , Deborah Nairn , Claudia Nagel , Diba Kabiri , Tiago P Almeida , Diogo C Soriano ...
Hybrid machine learning to localize atrial flutter substratesusing …
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WebHybrid machine learning to localize atrial flutter substratesusing the surface12-lead electrocardiogram Giorgio Luongo 1*†, Gaetano Vacanti2*†, Vincent Nitzke1, Deborah …
Machine Learning Using a Single-Lead ECG to Identify Patients
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WebGiorgio Luongo .edu †These authors have contributed equally to this work Specialtysection: This article was submitted to Cardiac Rhythmology, a section of …
Machine learning enables noninvasive prediction of atrial ...Cardiovascular Digital Health Journal
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Giorgio Luongo, MSc, Luca Azzolin, MSc, Steffen Schuler, MSc, Massimo W. Rivolta, PhD, Tiago P. Almeida, PhD, Juan P. Martínez, PhD, Diogo C. Soriano, PhD, ... › ppt
Machine Learning to Find Areas of Rotors Sustaining Atrial …
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WebMachine Learning to Find Areas of Rotors Sustaining Atrial Fibrillation From the ECG Giorgio Luongo 1, Luca Azzolin , Massimo W Rivolta2, Tiago P Almeida3, Juan Pablo …
Machine learning classificationbio-protocol.org
bio-protocol.org
GL Giorgio Luongo. LA Luca Azzolin. SS Steffen Schuler. MR Massimo W. Rivolta. TA Tiago P. Almeida. JM Juan P. Martínez. DS Diogo C. Soriano. AL Armin Luik.
Using Machine Learning to Characterize Atrial Fibrotic Substrate from...
www.researchsquare.com
In patients with atrial fibrillation, intracardiac electrogram signal amplitude is known to decrease with increased structural tissue remodeling, referred to...
Machine Learning Using a Single-Lead ECG to Identify PubMedpubmed.ncbi.nlm.nih.gov › ...
pubmed.ncbi.nlm.nih.gov
· Giorgio Luongo , Felix Rees , Deborah Nairn , Massimo W Rivolta , Olaf Dössel , Roberto Sassi , Christoph Ahlgrim , Louisa Mayer ...
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