Hasil Pencarian - Ade Iriani Sapitri

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  1. 1
    Beat-to-Beat Electrocardiogram Waveform Classification Based on a Stacked Convolutional and Bidirectional Long Short-Term Memory

    Beat-to-Beat Electrocardiogram Waveform Classification Based on a Stacked Convolutional and Bidirectional Long Short-Term Memory oleh Siti Nurmaini, Annisa Darmawahyuni, Muhammad Naufal Rachmatullah, Jannes Effendi, Ade Iriani Sapitri, Firdaus Firdaus, Bambang Tutuko

    Diterbitkan 2021-01-01
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  2. 2
    Accurate Fetal QRS-Complex Classification from Abdominal Electrocardiogram Using Deep Learning

    Accurate Fetal QRS-Complex Classification from Abdominal Electrocardiogram Using Deep Learning oleh Annisa Darmawahyuni, Bambang Tutuko, Siti Nurmaini, Muhammad Naufal Rachmatullah, Muhammad Ardiansyah, Firdaus Firdaus, Ade Iriani Sapitri, Anggun Islami

    Diterbitkan 2023-09-01
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  3. 3
    Accurate Detection of Septal Defects With Fetal Ultrasonography Images Using Deep Learning-Based Multiclass Instance Segmentation

    Accurate Detection of Septal Defects With Fetal Ultrasonography Images Using Deep Learning-Based Multiclass Instance Segmentation oleh Siti Nurmaini, Muhammad Naufal Rachmatullah, Ade Iriani Sapitri, Annisa Darmawahyuni, Adithia Jovandy, Firdaus Firdaus, Bambang Tutuko, Rossi Passarella

    Diterbitkan 2020-01-01
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  4. 4
    Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification

    Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification oleh Annisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, Bambang Tutuko, Ade Iriani Sapitri, Firdaus Firdaus, Ahmad Fansyuri, Aldi Predyansyah

    Diterbitkan 2022-01-01
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  5. 5
    Deep Learning-Based Computer-Aided Fetal Echocardiography: Application to Heart Standard View Segmentation for Congenital Heart Defects Detection

    Deep Learning-Based Computer-Aided Fetal Echocardiography: Application to Heart Standard View Segmentation for Congenital Heart Defects Detection oleh Siti Nurmaini, Muhammad Naufal Rachmatullah, Ade Iriani Sapitri, Annisa Darmawahyuni, Bambang Tutuko, Firdaus Firdaus, Radiyati Umi Partan, Nuswil Bernolian

    Diterbitkan 2021-11-01
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  6. 6
    AFibNet: an implementation of atrial fibrillation detection with convolutional neural network

    AFibNet: an implementation of atrial fibrillation detection with convolutional neural network oleh Bambang Tutuko, Siti Nurmaini, Alexander Edo Tondas, Muhammad Naufal Rachmatullah, Annisa Darmawahyuni, Ria Esafri, Firdaus Firdaus, Ade Iriani Sapitri

    Diterbitkan 2021-07-01
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  7. 7
    Deep learning-based real time detection for cardiac objects with fetal ultrasound video

    Deep learning-based real time detection for cardiac objects with fetal ultrasound video oleh Ade Iriani Sapitri, Siti Nurmaini, Muhammad Naufal Rachmatullah, Bambang Tutuko, Annisa Darmawahyuni, Firdaus Firdaus, Dian Palupi Rini, Anggun Islami

    Diterbitkan 2023-01-01
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  8. 8
    Improved delineation model of a standard 12-lead electrocardiogram based on a deep learning algorithm

    Improved delineation model of a standard 12-lead electrocardiogram based on a deep learning algorithm oleh Annisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, Prazna Paramitha Avi, Samuel Benedict Putra Teguh, Ade Iriani Sapitri, Bambang Tutuko, Firdaus Firdaus

    Diterbitkan 2023-07-01
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  9. 9
    Robust electrocardiogram delineation model for automatic morphological abnormality interpretation

    Robust electrocardiogram delineation model for automatic morphological abnormality interpretation oleh Siti Nurmaini, Annisa Darmawahyuni, Muhammad Naufal Rachmatullah, Firdaus Firdaus, Ade Iriani Sapitri, Bambang Tutuko, Alexander Edo Tondas, Muhammad Hafizh Permana Putra, Anggun Islami

    Diterbitkan 2023-08-01
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  10. 10
    FetalNet: Low-light fetal echocardiography enhancement and dense convolutional network classifier for improving heart defect prediction

    FetalNet: Low-light fetal echocardiography enhancement and dense convolutional network classifier for improving heart defect prediction oleh Sutarno Sutarno, Siti Nurmaini, Radiyati Umi Partan, Ade Iriani Sapitri, Bambang Tutuko, Muhammad Naufal Rachmatullah, Annisa Darmawahyuni, Firdaus Firdaus, Nuswil Bernolian, Deny Sulistiyo

    Diterbitkan 2022-01-01
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  11. 11
    Automated Precancerous Lesion Screening Using an Instance Segmentation Technique for Improving Accuracy

    Automated Precancerous Lesion Screening Using an Instance Segmentation Technique for Improving Accuracy oleh Patiyus Agustiansyah, Siti Nurmaini, Laila Nuranna, Irfannuddin Irfannuddin, Rizal Sanif, Legiran Legiran, Muhammad Naufal Rachmatullah, Gavira Olipa Florina, Ade Iriani Sapitri, Annisa Darmawahyuni

    Diterbitkan 2022-07-01
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  12. 12
    Automatic echocardiographic anomalies interpretation using a stacked residual-dense network model

    Automatic echocardiographic anomalies interpretation using a stacked residual-dense network model oleh Siti Nurmaini, Ade Iriani Sapitri, Bambang Tutuko, Muhammad Naufal Rachmatullah, Dian Palupi Rini, Annisa Darmawahyuni, Firdaus Firdaus, Satria Mandala, Ria Nova, Nuswil Bernolian

    Diterbitkan 2023-09-01
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  13. 13
    Health-Related Data Analysis Using Metaheuristic Optimization and Machine Learning

    Health-Related Data Analysis Using Metaheuristic Optimization and Machine Learning oleh Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, Muhammad Naufal Rachmatullah, Firdaus Firdaus, Ade Iriani Sapitri, Anggun Islami, Jordan Marcelino, Rendy Isdwanta, Muhammad Irfan Karim

    Diterbitkan 2024-01-01
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  14. 14
    DAE-ConvBiLSTM: End-to-end learning single-lead electrocardiogram signal for heart abnormalities detection.

    DAE-ConvBiLSTM: End-to-end learning single-lead electrocardiogram signal for heart abnormalities detection. oleh Bambang Tutuko, Annisa Darmawahyuni, Siti Nurmaini, Alexander Edo Tondas, Muhammad Naufal Rachmatullah, Samuel Benedict Putra Teguh, Firdaus Firdaus, Ade Iriani Sapitri, Rossi Passarella

    Diterbitkan 2022-01-01
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  15. 15
    Short Single-Lead ECG Signal Delineation-Based Deep Learning: Implementation in Automatic Atrial Fibrillation Identification

    Short Single-Lead ECG Signal Delineation-Based Deep Learning: Implementation in Automatic Atrial Fibrillation Identification oleh Bambang Tutuko, Muhammad Naufal Rachmatullah, Annisa Darmawahyuni, Siti Nurmaini, Alexander Edo Tondas, Rossi Passarella, Radiyati Umi Partan, Ahmad Rifai, Ade Iriani Sapitri, Firdaus Firdaus

    Diterbitkan 2022-03-01
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  16. 16
    XU-NetI: Simple U-shaped encoder-decoder network for accurate imputation of multivariate missing data

    XU-NetI: Simple U-shaped encoder-decoder network for accurate imputation of multivariate missing data oleh Firdaus Firdaus, Siti Nurmaini, Bambang Tutuko, Muhammad Naufal Rachmatullah, Anggun Islami, Annisa Darmawahyuni, Ade Iriani Sapitri, Widya Rohadatul Ais'sy, Muhammad Irfan Karim, Muhammad Fachrurrozi, Ahmad Zarkasi

    Diterbitkan 2024-09-01
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  17. 17
    Real time mobile AI-assisted cervicography interpretation system

    Real time mobile AI-assisted cervicography interpretation system oleh Siti Nurmaini, Muhammad Naufal Rachmatullah, Rizal Sanif, Patiyus Agustiansyah, Irawan Sastradinata, Legiran Legiran, Annisa Darmawahyuni, Ade Iriani Sapitri, Anggun Islami, Firdaus Firdaus, Bambang Tutuko, Nur Muhammad Erji Ridho Lubis

    Diterbitkan 2023-01-01
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