Empowering AI-Diagnosis: Deep Learning Abilities for Accurate Atrial Fibrillation Classification. - Bambang Tutuko; Annisa Darmawahyuni; Siti Nurmaini; Muhammad Naufal Rachmatullah; Firdaus; Sutarno Sutarno; Rossi Passarella; Ade Iriani Sapitri; Anggun Islami; Muhammad Wahyu Ramansyah; Muhammd Isra Al Hadi (Int. J. Online Biomed. Eng., 2023)

Accurate Fetal QRS-Complex Classification from Abdominal Electrocardiogram Using Deep Learning. - Annisa Darmawahyuni; Bambang Tutuko; Siti Nurmaini; Muhammad Naufal Rachmatullah; Muhammad Ardiansyah; Firdaus; Ade Iriani Sapitri; Anggun Islami (Int. J. Comput. Intell. Syst., 2023)

Health-Related Data Analysis Using Metaheuristic Optimization and Machine Learning. - Annisa Darmawahyuni; Siti Nurmaini; Bambang Tutuko; Muhammad Naufal Rachmatullah; Firdaus; Ade Iriani Sapitri; Anggun Islami; Jordan Marcelino; Rendy Isdwanta; Muhammad Irfan Karim (IEEE Access, 2024)

A Real-Time End-to-End Framework with a Stacked Model Using Ultrasound Video for Cardiac Septal Defect Decision-Making. - Siti Nurmaini; Ria Nova; Ade Iriani Sapitri; Muhammad Naufal Rachmatullah; Bambang Tutuko; Firdaus; Annisa Darmawahyuni; Anggun Islami; Satria Mandala; Radiyati Umi Partan; Akhiar Wista Arum; Rio Bastian (J. Imaging, 2024)

An improved electrocardiogram arrhythmia classification performance with feature optimization. - Annisa Darmawahyuni; Siti Nurmaini; Bambang Tutuko; Muhammad Naufal Rachmatullah; Firdaus; Ade Iriani Sapitri; Anggun Islami; Jordan Marcelino; Rendy Isdwanta; Muhammad Ikhwan Perwira (BMC Medical Informatics Decis. Mak., 2024)