Annisa Darmawahyuni

发表

Convolutional neural network for semantic segmentation of fetal echocardiography based on four-chamber view

Siti Nurmaini, Ade Iriani Sapitri, B. Tutuko, 2021 .

Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification

Ade Iriani Sapitri, M. N. Rachmatullah, A. I. Sapitri, 2022, PeerJ Comput. Sci..

Deep Learning-Based Computer-Aided Fetal Echocardiography: Application to Heart Standard View Segmentation for Congenital Heart Defects Detection

Ade Iriani Sapitri, Radiyati Umi Partan, M. N. Rachmatullah, 2021, Sensors.

Experimental Convolutional-Recurrent Network in ECG Rhythm for Atrial Fibrillation Classification

M. N. Rachmatullah, B. Tutuko, S. Nurmaini, 2022, 2022 9th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI).

Unidirectional-bidirectional recurrent networks for cardiac disorders classification

Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, 2021, TELKOMNIKA (Telecommunication Computing Electronics and Control).

AFibNet: an implementation of atrial fibrillation detection with convolutional neural network

Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, 2021, BMC Medical Informatics and Decision Making.

Congestive heart failure waveform classification based on short time-step analysis with recurrent network

Annisa Darmawahyuni, Bambang Tutuko, Siti Nurmaini, 2020 .

Robust detection of atrial fibrillation from short-term electrocardiogram using convolutional neural networks

Annisa Darmawahyuni, Bambang Tutuko, Siti Nurmaini, 2020, Future Gener. Comput. Syst..

Deep Learning with a Recurrent Network Structure in the Sequence Modeling of Imbalanced Data for ECG-Rhythm Classifier

Annisa Darmawahyuni, Siti Nurmaini, Wahyu Caesarendra, 2019, Algorithms.

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

Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, 2021, IEEE Access.

Deep Learning-Based Stacked Denoising and Autoencoder for ECG Heartbeat Classification

Annisa Darmawahyuni, Bambang Tutuko, Siti Nurmaini, 2020, Electronics.

An Automated ECG Beat Classification System Using Deep Neural Networks with an Unsupervised Feature Extraction Technique

Annisa Darmawahyuni, Siti Nurmaini, Wahyu Caesarendra, 2019, Applied Sciences.

DAE-ConvBiLSTM: End-to-end learning single-lead electrocardiogram signal for heart abnormalities detection

Ade Iriani Sapitri, A. I. Sapitri, B. Tutuko, 2022, PloS one.

Deep learning-based real time detection for cardiac objects with fetal ultrasound video

Dian Palupi Rini, B. Tutuko, S. Nurmaini, 2023, Informatics in Medicine Unlocked.

An improved semantic segmentation with region proposal network for cardiac defect interpretation

Bayu Adhi Tama, Ade Iriani Sapitri, M. N. Rachmatullah, 2022, Neural Computing and Applications.

Automatic echocardiographic anomalies interpretation using a stacked residual-dense network model

Ade Iriani Sapitri, M. N. Rachmatullah, B. Tutuko, 2023, BMC Bioinformatics.

Automated Detection of COVID-19 Infected Lesion on Computed Tomography Images Using Faster-RCNNs

M. N. Rachmatullah, A. I. Sapitri, B. Tutuko, 2020 .

Deep ensemble learning for skin lesions classification with convolutional neural network

Annisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, 2021 .

Deep Learning for Improving the Effectiveness of Routine Prenatal Screening for Major Congenital Heart Diseases

Ade Iriani Sapitri, M. N. Rachmatullah, B. Tutuko, 2022, Journal of clinical medicine.

Electrocardiogram signal classification for automated delineation using bidirectional long short-term memory

Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, 2021, Informatics in Medicine Unlocked.

Accurate Detection of Septal Defects With Fetal Ultrasonography Images Using Deep Learning-Based Multiclass Instance Segmentation

Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, 2020, IEEE Access.

FetalNet: Low-light fetal echocardiography enhancement and dense convolutional network classifier for improving heart defect prediction

Ade Iriani Sapitri, B. Tutuko, S. Nurmaini, 2022, Informatics in Medicine Unlocked.

Delineation of electrocardiogram morphologies by using discrete wavelet transforms

Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, 2021 .

Automated ECG Waveform Annotation Based on Stacked Long Short-Term Memory

Annisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, 2020, Computer Engineering and Applications Journal.

Ade Iriani Sapitri, M. N. Rachmatullah, B. Tutuko, 2024, IEEE Access.

Short Single-Lead ECG Signal Delineation-Based Deep Learning: Implementation in Automatic Atrial Fibrillation Identification

Ade Iriani Sapitri, M. N. Rachmatullah, A. I. Sapitri, 2022, Sensors.

Analysis of Classifier Performance on ECG Interpretation for Precision Medicine: Which performance metrics should we use?

Annisa Darmawahyuni, Siti Nurmaini, M Naufal Rachmatullah, 2020, Journal of Physics: Conference Series.

Deep Learning with Long Short-Term Memory for Enhancement Myocardial Infarction Classification

Annisa Darmawahyuni, Siti Nurmaini, Sukemi, 2019, 2019 6th International Conference on Instrumentation, Control, and Automation (ICA).

Accurate Fetal QRS-Complex Classification from Abdominal Electrocardiogram Using Deep Learning

Ade Iriani Sapitri, M. N. Rachmatullah, B. Tutuko, 2023, International Journal of Computational Intelligence Systems.

A Deep Learning Approach for Automated Prediction of Cardiac Arrest from Vital Sign Data of Intensive Care Unit Patients

Ade Iriani Sapitri, M. N. Rachmatullah, B. Tutuko, 2023, 2023 International Conference on Data Science and Its Applications (ICoDSA).

Identification of Indonesian Authors Using Deep Neural Networks

Ade Iriani Sapitri, Bayu Wijaya Putra, M. N. Rachmatullah, 2022, Computer Engineering and Applications Journal.

Automated Precancerous Lesion Screening Using an Instance Segmentation Technique for Improving Accuracy

Ade Iriani Sapitri, M. N. Rachmatullah, A. I. Sapitri, 2022, Sensors.

XU-NetI: Simple U-Shaped Encoder-Decoder Network for Accurate Imputation of Multivariate Missing Data

Ade Iriani Sapitri, M. N. Rachmatullah, B. Tutuko, 2024, Franklin Open.

A Deep Learning Approach to Integrate Medical Big Data for Improving Health Services in Indonesia

Annisa Darmawahyuni, Bambang Tutuko, Siti Nurmaini, 2020, Computer Engineering and Applications Journal.

Yolact-based Approach for Real-Time Fetal Heart Segmentation

Ade Iriani Sapitri, M. N. Rachmatullah, S. Nurmaini, 2023, 2023 International Conference on Data Science and Its Applications (ICoDSA).

Improved delineation model of a standard 12-lead electrocardiogram based on a deep learning algorithm

Ade Iriani Sapitri, M. N. Rachmatullah, B. Tutuko, 2023, BMC Medical Informatics and Decision Making.