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Bambang Tutuko

Showing results (1-10 of 14) with videos related to

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Sensors (Basel, Switzerland)|December 10, 2021
Deep Learning-Based Computer-Aided Fetal Echocardiography: Application to Heart Standard View Segmentation for Congenital Heart Defects DetectionSiti Nurmaini, Muhammad Naufal Rachmatullah, Ade Iriani Sapitri, et al.
BMC Medical Informatics and Decision Making|July 15, 2021
AFibNet: an implementation of atrial fibrillation detection with convolutional neural networkBambang Tutuko, Siti Nurmaini, Alexander Edo Tondas, et al.
Peerj. Computer Science|February 17, 2022
Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classificationAnnisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, et al.
BMC Medical Informatics and Decision Making|July 28, 2023
Improved delineation model of a standard 12-lead electrocardiogram based on a deep learning algorithmAnnisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, et al.
Journal of Clinical Medicine|November 11, 2022
Deep Learning for Improving the Effectiveness of Routine Prenatal Screening for Major Congenital Heart DiseasesSiti Nurmaini, Radiyati Umi Partan, Nuswil Bernolian, et al.
BMC Bioinformatics|September 27, 2023
Automatic echocardiographic anomalies interpretation using a stacked residual-dense network modelSiti Nurmaini, Ade Iriani Sapitri, Bambang Tutuko, et al.
Sensors (Basel, Switzerland)|March 26, 2022
Short Single-Lead ECG Signal Delineation-Based Deep Learning: Implementation in Automatic Atrial Fibrillation IdentificationBambang Tutuko, Muhammad Naufal Rachmatullah, Annisa Darmawahyuni, et al.
Plos One|December 30, 2022
DAE-ConvBiLSTM: End-to-end learning single-lead electrocardiogram signal for heart abnormalities detectionBambang Tutuko, Annisa Darmawahyuni, Siti Nurmaini, et al.
BMC Medical Informatics and Decision Making|December 30, 2024
An improved electrocardiogram arrhythmia classification performance with feature optimizationAnnisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, et al.
Scientific Reports|August 23, 2023
Robust electrocardiogram delineation model for automatic morphological abnormality interpretationSiti Nurmaini, Annisa Darmawahyuni, Muhammad Naufal Rachmatullah, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Sensors (Basel, Switzerland)|December 10, 2021
Deep Learning-Based Computer-Aided Fetal Echocardiography: Application to Heart Standard View Segmentation for Congenital Heart Defects DetectionSiti Nurmaini, Muhammad Naufal Rachmatullah, Ade Iriani Sapitri, et al.
BMC Medical Informatics and Decision Making|July 15, 2021
AFibNet: an implementation of atrial fibrillation detection with convolutional neural networkBambang Tutuko, Siti Nurmaini, Alexander Edo Tondas, et al.
Peerj. Computer Science|February 17, 2022
Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classificationAnnisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, et al.
BMC Medical Informatics and Decision Making|July 28, 2023
Improved delineation model of a standard 12-lead electrocardiogram based on a deep learning algorithmAnnisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, et al.
Journal of Clinical Medicine|November 11, 2022
Deep Learning for Improving the Effectiveness of Routine Prenatal Screening for Major Congenital Heart DiseasesSiti Nurmaini, Radiyati Umi Partan, Nuswil Bernolian, et al.
BMC Bioinformatics|September 27, 2023
Automatic echocardiographic anomalies interpretation using a stacked residual-dense network modelSiti Nurmaini, Ade Iriani Sapitri, Bambang Tutuko, et al.
Sensors (Basel, Switzerland)|March 26, 2022
Short Single-Lead ECG Signal Delineation-Based Deep Learning: Implementation in Automatic Atrial Fibrillation IdentificationBambang Tutuko, Muhammad Naufal Rachmatullah, Annisa Darmawahyuni, et al.
Plos One|December 30, 2022
DAE-ConvBiLSTM: End-to-end learning single-lead electrocardiogram signal for heart abnormalities detectionBambang Tutuko, Annisa Darmawahyuni, Siti Nurmaini, et al.
BMC Medical Informatics and Decision Making|December 30, 2024
An improved electrocardiogram arrhythmia classification performance with feature optimizationAnnisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, et al.
Scientific Reports|August 23, 2023
Robust electrocardiogram delineation model for automatic morphological abnormality interpretationSiti Nurmaini, Annisa Darmawahyuni, Muhammad Naufal Rachmatullah, et al.
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