A. Darmawahyuni

发表

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

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

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.

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.

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.

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

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

Identification of Indonesian Authors Using Deep Neural Networks

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

Cloud-based ECG Interpretation of Atrial Fibrillation Condition with Deep Learning Technique

M. N. Rachmatullah, A. I. Sapitri, B. Tutuko, 2021, Computer Engineering and Applications Journal.

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 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).

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.

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

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

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

M. N. Rachmatullah, A. I. Sapitri, B. Tutuko, 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-Based Stacked Denoising and Autoencoder for ECG Heartbeat Classification

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

CervicoXNet: an automated cervicogram interpretation network.

Dian Palupi Rini, M. N. Rachmatullah, A. I. Sapitri, 2023, Medical and Biological Engineering and Computing.

Deep ensemble learning for skin lesions classification with convolutional neural network

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

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.

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..

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.

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

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

Unidirectional-bidirectional recurrent networks for cardiac disorders classification

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

Coronary Heart Disease Interpretation Based on Deep Neural Network

Annisa Darmawahyuni, Siti Nurmaini, Firdaus Firdaus, 2019, Computer Engineering and Applications Journal.

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.

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.

Delineation of electrocardiogram morphologies by using discrete wavelet transforms

Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, 2021 .