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Muhammad Adnan Pramudito

Observed names: M A Pramudito, MUHAMMAD ADNAN PRAMUDITO, PRAMUDITO, MUHAMMAD ADNAN, Pramudito, Muhammad Adnan
ORCID: 0000-0001-5944-2784
Observed ORCID: 0000-0001-5944-2784
OpenAlex ID: A5030911848
Convolutional Neural Network (CNN) for Automatic Skin Cancer Classification System
2020 · Yunendah Nur Fu’adah, NK Caecar Pratiwi, et al. · IOP Conference Series Materials Science and Engineering · 123
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An Optimal Approach for Heart Sound Classification Using Grid Search in Hyperparameter Optimization of Machine Learning
2022 · Yunendah Nur Fuadah, Muhammad Adnan Pramudito, et al. · Bioengineering · 87
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Automated Classification of Alzheimer’s Disease Based on MRI Image Processing using Convolutional Neural Network (CNN) with AlexNet Architecture
2021 · Y N Fu’adah, I Wijayanto, et al. · Journal of Physics Conference Series · 78
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QSAR Classification Modeling Using Machine Learning with a Consensus-Based Approach for Multivariate Chemical Hazard End Points
2024 · Yunendah Nur Fuadah, Muhammad Adnan Pramudito, et al. · ACS Omega · 35
Explainable artificial intelligence (XAI) to find optimal in-silico biomarkers for cardiac drug toxicity evaluation
2024 · Muhammad Adnan Pramudito, Yunendah Nur Fuadah, et al. · Scientific Reports · 27
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Machine learning approach to evaluate TdP risk of drugs using cardiac electrophysiological model including inter-individual variability
2023 · Yunendah Nur Fuadah, Ali Ikhsanul Qauli, et al. · Frontiers in Physiology · 15
A stacking ensemble machine learning model for evaluating cardiac toxicity of drugs based on in silico biomarkers
2024 · Yunendah Nur Fuadah, Ali Ikhsanul Qauli, et al. · CPT Pharmacometrics & Systems Pharmacology · 13
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Non-Complex CNN Models for Colorectal Cancer (CRC) Classification Based on Histological Images
2021 · Nur Ibrahim, Nor Kumalasari Caecar Pratiwi, et al. · Lecture notes in electrical engineering · 11
A machine learning platform for genotype-specific cardiotoxicity risk prediction using patient-derived iPSC-CMs
2025 · Yun-Gwi Park, Na Kyeong Park, et al. · Journal of Advanced Research · 7
ToxCML: A Hybrid mfCoQ-RASAR-Based Platform Integrating Consensus QSAR and Read-Across for Comprehensive Multi-End Point Toxicity Assessment
2026 · Fauzan Syarif Nursyafi, Muhammad Adnan Pramudito, et al. · Journal of Chemical Information and Modeling · 3
Interpretable multi-modality consensus QSAR framework: integrating machine and deep learning for enhanced multi-endpoint toxicity assessment
2026 · Fauzan Syarif Nursyafi, Muhammad Adnan Pramudito, et al. · Toxicology Mechanisms and Methods · 3
Biometric Verification Based on ECG Signal using 1 Dimensional Convolutional Neural Network
2022 · Fauzi Frahma Taliningsih, Yunendah Nur Fu'Adah, et al. · International Conference on Information System & Information Technology (ICISIT) · 3
ECG signal processing using 1-D Convolutional Neural Network for Congestive Heart Failure Identification
2022 · Muhammad Adnan Pramudito, Yunendah Nur Fu'Adah, et al. · International Conference on Information System & Information Technology (ICISIT) · 2
Sistem Otentikasi Biometrik Berbasis Sinyal EKG Menggunakan Convolutional Neural Network 1 Dimensi
2022 · FAUZI FRAHMA TALININGSIH, YUNENDAH NUR FU’ADAH, et al. · MIND Journal · 2
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Integrating high-fidelity hiPSC-cardiomyocytes with AI-driven modeling for enhanced proarrhythmic risk assessment
2026 · Su-Bin Kim, Jaehun Lee, et al. · Archives of Toxicology · 1
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Interpretable Multi-Modality Consensus QSAR Framework: Integrating Machine and Deep Learning for Enhanced Multi-Endpoint Toxicity Assessment
2026 · Nursyafi, Fauzan Syarif, Pramudito, Muhammad Adnan, et al. · Figshare · 1
Stacking Ensemble Machine Learning for Cardiac Safety Assessment Using hiPSC-CM MEA Data
2026 · Muhammad Adnan Pramudito, Yunendah Nur Fuadah, et al. · Annals of Biomedical Engineering · 1
Identifikasi Sinyal Congestive Heart Failure dengan Metode Convolutional Neural Network 1D
2022 · MUHAMMAD ADNAN PRAMUDITO, YUNENDAH NUR FU’ADAH, et al. · MIND Journal · 1
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Correction: Drug induced TdP risks classification assay using electro-mechanical models of human ventricle based on CiPA framework
2026 · Aulia Khamas Heikhmakhtiar, Ali Ikhsanul Qauli, et al. · Toxicological Research
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CETO: A Novel in silico Cardiac Safety Assessment Using Action Potential Shape-Derived Torsadogenic Safety Margins
2026 · PRAMUDITO, MUHAMMAD ADNAN, Nur Fuadah, Yunendah, et al. · Zenodo (CERN European Organization for Nuclear Research)
ToxCML: A Hybrid mfCoQ-RASAR-Based Platform Integrating Consensus QSAR and Read-Across for Comprehensive Multi-Endpoint Toxicity Assessment
2026 · Nursyafi, Fauzan Syarif, PRAMUDITO, MUHAMMAD ADNAN, et al. · Zenodo (CERN European Organization for Nuclear Research)
Improving In Silico Cardiac Safety Prediction by Consensus Averaging of Transmural Ventricular Cell Models
2026 · Nurul Qashri Mahardika T, Ali Ikhsanul Qauli, et al. · Annals of Biomedical Engineering
Interpretable Multi-Modality Consensus QSAR Framework: Integrating Machine and Deep Learning for Enhanced Multi-Endpoint Toxicity Assessment
2026 · Nursyafi, Fauzan Syarif, PRAMUDITO, MUHAMMAD ADNAN, et al. · Zenodo (CERN European Organization for Nuclear Research)
Drug induced TdP risks classification assay using electro-mechanical models of human ventricle based on CiPA framework
2025 · Aulia Khamas Heikhmakhtiar, Ali Ikhsanul Qauli, et al. · Toxicological Research
Works count: 27
Citation count: 413
H-index: 8
I10-index: 8
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