| Effect of KCNQ1 G229D mutation on cardiac pumping efficacy and reentrant dynamics in ventricles: computational study AR Yuniarti, F Setianto, A Marcellinus, HJ Hwang, SW Choi, N Trayanova, ... International journal for numerical methods in biomedical engineering 34 (6 …, 2018 | 10 | 2018 |
| Assessment of Drug Proarrhythmicity Using Artificial Neural Networks With in silico Deterministic Model Outputs Y Yoo, A Marcellinus, DU Jeong, KS Kim, KM Lim Frontiers in Physiology 12, 761691, 2021 | 8 | 2021 |
| Sensitivity analysis of ion channel conductance on myocardial electromechanical delay: Computational study AI Qauli, A Marcellinus, KM Lim Frontiers in Physiology 12, 697693, 2021 | 6 | 2021 |
| Proarrhythmic risk assessment of drugs by dVm/dt shapes using the convolutional neural network DU Jeong, Y Yoo, A Marcellinus, KS Kim, KM Lim CPT: Pharmacometrics & Systems Pharmacology 11 (5), 653-664, 2022 | 4 | 2022 |
| In silico assessment on TdP risks of drug combinations under CiPA paradigm AI Qauli, A Marcellinus, MA Setiawan, AFN Zain, AM Pinandito, KM Lim Scientific Reports 13 (1), 2924, 2023 | 3 | 2023 |
| Application of convolutional neural networks using action potential shape for in-silico proarrhythmic risk assessment DU Jeong, Y Yoo, A Marcellinus, KM Lim Biomedicines 11 (2), 406, 2023 | 3 | 2023 |
| Validation of in silico biomarkers for drug screening through ordinal logistic regression DU Jeong, RZ Danadibrata, A Marcellinus, KM Lim Frontiers in Physiology 13, 1009647, 2022 | 3 | 2022 |
| Machine learning approach to evaluate TdP risk of drugs using cardiac electrophysiological model including inter-individual variability YN Fuadah, AI Qauli, A Marcellinus, MA Pramudito, KM Lim Frontiers in Physiology 14, 1266084, 2023 | 2 | 2023 |
| Verification of the efficacy of mexiletine treatment for the A1656D mutation on downgrading reentrant tachycardia using a 3D cardiac electrophysiological model AI Qauli, Y Yoo, A Marcellinus, KM Lim Bioengineering 9 (10), 531, 2022 | 2 | 2022 |
| qInward variability-based in-silico proarrhythmic risk assessment of drugs using deep learning model DU Jeong, N Qashri Mahardika T, A Marcellinus, KM Lim Frontiers in Physiology 13, 1080190, 2022 | 1 | 2022 |
| Sensitivity analysis of cardiac alternans and tachyarrhythmia to ion channel conductance using population modeling DU Jeong, A Marcellinus, KM Lim Bioengineering 9 (11), 628, 2022 | 1 | 2022 |
| An Artificial Neural Network-Based Drug Proarrhythmia Assessment Using Electrophysiological Characteristics of Cardiomyocytes Y Yoo, DU Jeong, A Marcellinus, KM Lim Journal of Biomedical Engineering Research 42 (6), 287-294, 2021 | 1 | 2021 |
| Development of in-silico drug cardiac toxicity evaluation system with consideration of inter-individual variability AI Qauli, RZ Danadibrata, A Marcellinus, KM Lim Translational and Clinical Pharmacology 32 (2), 83, 2024 | | 2024 |
| Evaluation of cardiac pro-arrhythmic risks using the artificial neural network with ToR–ORd in silico model output NQ Mahardika T, AI Qauli, A Marcellinus, KM Lim Frontiers in Physiology 15, 1374355, 2024 | | 2024 |
| Optimized qNet for Torsadogenic Drug Risk Classification via In Silico Simulation and Ordinal Logistic Regression B Kamanditya, AI Qauli, A Marcellinus, IN Pramawijaya, KM Lim 대한기계학회 춘추학술대회, 113-113, 2024 | | 2024 |
| In-Depth Computational Method for Determining Drug Toxicity: TdP Risk Analysis through Virtual Tissue Modeling MA Pramudito, AI Qauli, A Marcellinus, KM Lim 대한기계학회 춘추학술대회, 108-108, 2024 | | 2024 |
| A Pilot Study of In-Silico Human Electro-Mechanical Ventricular Model for Drug Induced TdP Risk Assessment with Machine Learning YN Fuadah, MA Pramudito, IN Pramawijaya, A Marcellinus, KM Lim 대한기계학회 춘추학술대회, 95-95, 2024 | | 2024 |
| qNet-T as a new biomarker for assessment of drug cardiac toxicity from the cardiac tissue Model UL Hanum, A Marcellinus 대한기계학회 춘추학술대회, 93-93, 2023 | | 2023 |
| In Silico Deterministic Assessment on TdP Risks of Drug-drug Interactions under CiPA Paradigm AI Qauli, A Marcellinus, MA Setiawan, AFN Zain, AM Pinandito, KM Lim | | 2022 |
| A Computational Study of the Efficacy of Mexiletine Therapy on Patients with A1656D Mutation Using a 3D Cardiac Electrophysiological Model AI Qauli, Y Yoo, A Marcellinus, KM Lim 대한기계학회 춘추학술대회, 103-103, 2022 | | 2022 |
