E-LIB Suche - Ergebnisse für: Ribeiro, Antônio H.

1

Decoding 2.3 million ECGs: interpretable deep learning for ..:

Lu, Lei ; Zhu, Tingting ; Ribeiro, Antonio H...
European Heart Journal - Digital Health. 5 (2024) 3 - p. 247-259 , 2024

Link: https://doi.org/10.1093/..

2

Artificial intelligence-enhanced electrocardiography derive..:

Pastika, Libor ; Sau, Arunashis ; Patlatzoglou, Konstantinos...
npj Digital Medicine. 7 (2024) 1 - p. , 2024

Link: https://doi.org/10.1038/..

3

Evaluating regression and probabilistic methods for ECG-bas..:

von Bachmann, Philipp ; Gedon, Daniel ; Gustafsson, Fredrik K....
Scientific Reports. 14 (2024) 1 - p. , 2024

Link: https://doi.org/10.1038/..

4

End-to-end risk prediction of atrial fibrillation from the ..:

Habineza, Theogene ; Ribeiro, Antônio H. ; Gedon, Daniel...
Journal of Electrocardiology. 81 (2023) - p. 193-200 , 2023

Link: https://doi.org/10.1016/..

5

Association of lifestyle with deep learning predicted elect..:

Zhang, Cuili ; Miao, Xiao ; Wang, Biqi...
Frontiers in Cardiovascular Medicine. 10 (2023) - p. , 2023

Link: https://doi.org/10.3389/..

6

Invertible Kernel PCA With Random Fourier Features:

Gedon, Daniel ; Ribeiro, Antônio H. ; Wahlström, Niklas.
IEEE Signal Processing Letters. 30 (2023) - p. 563-567 , 2023

Link: https://doi.org/10.1109/..

7

On Merging Feature Engineering and Deep Learning for Diagno..:

Zvuloni, Eran ; Read, Jesse ; Ribeiro, Antônio H...
IEEE Transactions on Biomedical Engineering. 70 (2023) 7 - p. 2227-2236 , 2023

Link: https://doi.org/10.1109/..

8

Screening for Chagas disease from the electrocardiogram usi..:

Jidling, Carl ; Gedon, Daniel ; Schön, Thomas B....
PLOS Neglected Tropical Diseases. 17 (2023) 7 - p. e0011118 , 2023

Link: https://doi.org/10.1371/..

9

Overparameterized Linear Regression Under Adversarial Attac..:

Ribeiro, Antônio H. ; Schön, Thomas B.
IEEE Transactions on Signal Processing. 71 (2023) - p. 601-614 , 2023

Link: https://doi.org/10.1109/..

10

Heart age gap estimated by explainable advanced electrocard..:

Lindow, Thomas ; Maanja, Maren ; Schelbert, Erik B...
European Heart Journal - Digital Health. 4 (2023) 5 - p. 384-392 , 2023

Link: https://doi.org/10.1093/..

11

Development and validation of deep learning ECG-based predi..:

Gustafsson, Stefan ; Gedon, Daniel ; Lampa, Erik...
Scientific Reports. 12 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

12

Automated multilabel diagnosis on electrocardiographic imag..:

Sangha, Veer ; Mortazavi, Bobak J. ; Haimovich, Adrian D....
Nature Communications. 13 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

13

Electrocardiographic Predictors of Mortality: Data from a P..:

Paixão, Gabriela M. M. ; Lima, Emilly M. ; Gomes, Paulo R....
Hearts. 2 (2021) 4 - p. 449-458 , 2021

Link: https://doi.org/10.3390/..

14

Deep neural network-estimated electrocardiographic age as a..:

Lima, Emilly M. ; Ribeiro, Antônio H. ; Paixão, Gabriela M. M....
Nature Communications. 12 (2021) 1 - p. , 2021

Link: https://doi.org/10.1038/..

15

Explaining End-to-End ECG Automated Diagnosis Using Context..:

, In: Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track; Lecture Notes in Computer Science,

Oliveira, Derick M. ; Ribeiro, Antônio H. ; Pedrosa, João A. O.... - p. 204-219 , 2021

Link: https://doi.org/10.1007/..