Antônio H. Ribeiro

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Thomas SchönProfessor, Uppsala UniversityPatvirtintas el. paštas it.uu.se
Derick M. OliveiraUniversidade Federal de Minas GeraisPatvirtintas el. paštas dcc.ufmg.br
Manoel Horta RibeiroPrincetonPatvirtintas el. paštas cs.princeton.edu
Peter MacfarlaneEmeritus Professor of ElectrocardiologyPatvirtintas el. paštas glasgow.ac.uk
Carl AnderssonUppsala UniversityPatvirtintas el. paštas it.uu.se
Luis A. AguirreUniversidade Federal de Minas GeraisPatvirtintas el. paštas ufmg.br
Daniel GedonPostdoctoral Fellow, Tübingen UniversityPatvirtintas el. paštas uni-tuebingen.de
Sandhi M BarretoUniversidade Federal de Minas GeraisPatvirtintas el. paštas medicina.ufmg.br
Ester Cerdeira SabinoFull Professor Department of Pathology, Faculdade de Medicina da Universidade de Sao PauloPatvirtintas el. paštas usp.br
Koen TielsLecturer, Eindhoven University of Technology (TU/e)Patvirtintas el. paštas tue.nl
Arunashis SauImperial College LondonPatvirtintas el. paštas ic.ac.uk
Fu Siong NgImperial College LondonPatvirtintas el. paštas imperial.ac.uk
Niklas WahlströmAssociate Professor, Uppsala University, SwedenPatvirtintas el. paštas it.uu.se
James S. WareProfessor of Cardiovascular and Genomic Medicine, Imperial College LondonPatvirtintas el. paštas imperial.ac.uk
Kathryn McGurkCardiovascular Geneticist, Imperial College LondonPatvirtintas el. paštas tcd.ie
Bruce Bartholow DuncanUniversidade Federal do Rio Grande do SulPatvirtintas el. paštas ufrgs.br
Daniel KramerBeth Israel Deaconess Medical CenterPatvirtintas el. paštas bidmc.harvard.edu
Joachim A. BeharAssociate Professor, Technion-IITPatvirtintas el. paštas technion.ac.il
Cynthia BrandtProfessor, Yale University; VA ConnecticutPatvirtintas el. paštas yale.edu
Harlan KrumholzYale UniversityPatvirtintas el. paštas yale.edu

Stebėti

Antônio H. Ribeiro

Kiti vardaiAntônio Horta Ribeiro

Assistant Professor, Uppsala University

Patvirtintas el. paštas it.uu.se - Pagrindinis puslapis

Machine learning Signal processing Biomedical Informatics System identification AI for Medicine


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
SciPy 1.0: fundamental algorithms for scientific computing in Python P Virtanen, R Gommers, TE Oliphant, M Haberland, T Reddy, ... Nature methods 17 (3), 261-272, 2020	35655	2020
Automatic diagnosis of the 12-lead ECG using a deep neural network AH Ribeiro, MH Ribeiro, GMM Paixão, DM Oliveira, PR Gomes, ... Nature communications 11 (1), 1-9, 2020	864	2020
Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness AH Ribeiro, K Tiels, LA Aguirre, T Schön International Conference on Artificial Intelligence and Statistics, 2370-2380, 2020	172	2020
Deep neural network-estimated electrocardiographic age as a mortality predictor EM Lima, AH Ribeiro, GMM Paixão, MH Ribeiro, MM Pinto-Filho, ... Nature communications 12 (1), 5117, 2021	161	2021
Automated multilabel diagnosis on electrocardiographic images and signals V Sangha, BJ Mortazavi, AD Haimovich, AH Ribeiro, CA Brandt, ... Nature communications 13 (1), 1583, 2022	79	2022
On the smoothness of nonlinear system identification AH Ribeiro, K Tiels, J Umenberger, TB Schön, LA Aguirre Automatica 121, 109158, 2020	78	2020
Deep convolutional networks in system identification C Andersson, AH Ribeiro, K Tiels, N Wahlström, TB Schön 2019 IEEE 58th Conference on Decision and Control (CDC), 3670-3676, 2019	78	2019
Tele-electrocardiography and bigdata: The CODE (Clinical Outcomes in Digital Electrocardiography) study ALP Ribeiro, GMM Paixão, PR Gomes, MH Ribeiro, AH Ribeiro, ... Journal of electrocardiology 57, S75-S78, 2019	73	2019
Detection of left ventricular systolic dysfunction from electrocardiographic images V Sangha, AA Nargesi, LS Dhingra, A Khunte, BJ Mortazavi, AH Ribeiro, ... Circulation 148 (9), 765-777, 2023	69	2023
Atrial fibrillation risk prediction from the 12-lead electrocardiogram using digital biomarkers and deep representation learning S Biton, S Gendelman, AH Ribeiro, G Miana, C Moreira, ALP Ribeiro, ... European Heart Journal-Digital Health 2 (4), 576-585, 2021	54	2021
Deep networks for system identification: a survey G Pillonetto, A Aravkin, D Gedon, L Ljung, AH Ribeiro, TB Schön Automatica 171, 111907, 2025	40	2025
How Convolutional Neural Networks Deal with Aliasing AH Ribeiro, TB Schön ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021	27	2021
Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients S Gustafsson, D Gedon, E Lampa, AH Ribeiro, MJ Holzmann, TB Schön, ... Scientific Reports 12 (1), 19615, 2022	25	2022
On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG E Zvuloni, J Read, AH Ribeiro, ALP Ribeiro, JA Behar IEEE Transactions on Biomedical Engineering, 2023	24	2023
“Parallel Training Considered Harmful?”: Comparing series-parallel and parallel feedforward network training AH Ribeiro, LA Aguirre Neurocomputing 316, 222-231, 2018	23	2018
Evaluation of mortality in atrial fibrillation: clinical outcomes in digital electrocardiography (CODE) Study GMM Paixão, LGS Silva, PR Gomes, EM Lima, MPF Ferreira, DM Oliveira, ... Global Heart 15 (1), 48, 2020	19	2020
Overparameterized Linear Regression under Adversarial Attacks AH Ribeiro, TB Schön IEEE Transactions on Signal Processing, 2023	17	2023
Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification L Lu, T Zhu, AH Ribeiro, L Clifton, E Zhao, J Zhou, ALP Ribeiro, YT Zhang, ... European Heart Journal-Digital Health 5 (3), 247-259, 2024	16*	2024
Association Between Electrocardiographic Age and Cardiovascular Events in Community Settings: The Framingham Heart Study LCC Brant, AH Ribeiro, MM Pinto-Filho, J Kornej, SR Preis, JL Fetterman, ... Circulation: Cardiovascular Quality and Outcomes 16 (7), e009821, 2023	14	2023
First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG D Gedon, AH Ribeiro, N Wahlström, TB Schön 2021 Computing in Cardiology (CinC) 48, 1-4, 2021	13	2021

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