Muhammad Naufal Rachmatullah
Sriwijaya University(ID)
Publications by Year
Research Areas
ECG Monitoring and Analysis, EEG and Brain-Computer Interfaces, Congenital Heart Disease Studies, Phonocardiography and Auscultation Techniques, Fetal and Pediatric Neurological Disorders
Most-Cited Works
- → Deep Learning-Based Stacked Denoising and Autoencoder for ECG Heartbeat Classification(2020)143 cited
- → Robust detection of atrial fibrillation from short-term electrocardiogram using convolutional neural networks(2020)102 cited
- → Deep Learning-Based Computer-Aided Fetal Echocardiography: Application to Heart Standard View Segmentation for Congenital Heart Defects Detection(2021)71 cited
- → Deep Learning with a Recurrent Network Structure in the Sequence Modeling of Imbalanced Data for ECG-Rhythm Classifier(2019)66 cited
- → AFibNet: an implementation of atrial fibrillation detection with convolutional neural network(2021)60 cited
- → Deep Learning for Improving the Effectiveness of Routine Prenatal Screening for Major Congenital Heart Diseases(2022)51 cited
- → Accurate Detection of Septal Defects With Fetal Ultrasonography Images Using Deep Learning-Based Multiclass Instance Segmentation(2020)47 cited
- → Electrocardiogram signal classification for automated delineation using bidirectional long short-term memory(2020)44 cited
- → Deep ensemble learning for skin lesions classification with convolutional neural network(2021)39 cited
- → Deep learning-based real time detection for cardiac objects with fetal ultrasound video(2022)38 cited