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Amalia Villa

Showing results (1-10 of 7) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Are we training our heartbeat classification algorithms properly?Amalia Villa, Margot Deviaene, Rik Willems, et al.
Peerj. Computer Science|May 13, 2021
Utility metric for unsupervised feature selectionAmalia Villa, Abhijith Mundanad Narayanan, Sabine Van Huffel, et al.
Frontiers in Cardiovascular Medicine|November 5, 2024
AI-enabled detection of QRS fragmentation from 12-lead electrocardiogram and its clinical relevance for predicting malignant arrhythmia onsetSebastian Ingelaere, Amalia Villa, Carolina Varon, et al.
Physiological Measurement|June 19, 2023
A unified framework for multi-lead ECG characterization using Laplacian EigenmapsAmalia Villa, Sebastian Ingelaere, Ben Jacobs, et al.
Sensors (Basel, Switzerland)|January 22, 2021
Supervised SVM Transfer Learning for Modality-Specific Artefact Detection in ECGJonathan Moeyersons, John Morales, Amalia Villa, et al.
Computer Methods and Programs in Biomedicine|September 2, 2019
Artefact detection and quality assessment of ambulatory ECG signalsJonathan Moeyersons, Elena Smets, John Morales, et al.
Scientific Reports|April 27, 2022
A machine learning algorithm for electrocardiographic fQRS quantification validated on multi-center dataAmalia Villa, Bert Vandenberk, Tuomas Kenttä, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Are we training our heartbeat classification algorithms properly?Amalia Villa, Margot Deviaene, Rik Willems, et al.
Peerj. Computer Science|May 13, 2021
Utility metric for unsupervised feature selectionAmalia Villa, Abhijith Mundanad Narayanan, Sabine Van Huffel, et al.
Frontiers in Cardiovascular Medicine|November 5, 2024
AI-enabled detection of QRS fragmentation from 12-lead electrocardiogram and its clinical relevance for predicting malignant arrhythmia onsetSebastian Ingelaere, Amalia Villa, Carolina Varon, et al.
Physiological Measurement|June 19, 2023
A unified framework for multi-lead ECG characterization using Laplacian EigenmapsAmalia Villa, Sebastian Ingelaere, Ben Jacobs, et al.
Sensors (Basel, Switzerland)|January 22, 2021
Supervised SVM Transfer Learning for Modality-Specific Artefact Detection in ECGJonathan Moeyersons, John Morales, Amalia Villa, et al.
Computer Methods and Programs in Biomedicine|September 2, 2019
Artefact detection and quality assessment of ambulatory ECG signalsJonathan Moeyersons, Elena Smets, John Morales, et al.
Scientific Reports|April 27, 2022
A machine learning algorithm for electrocardiographic fQRS quantification validated on multi-center dataAmalia Villa, Bert Vandenberk, Tuomas Kenttä, et al.
Pageof 1