Nabil Ibtehaz
Purdue University West Lafayette(US)
Publications by Year
Research Areas
COVID-19 diagnosis using AI, Machine Learning in Bioinformatics, Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Bioinformatics and Genomic Networks
Most-Cited Works
- → MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation(2019)2,197 cited
- → COVID-19 infection localization and severity grading from chest X-ray images(2022)189 cited
- → Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning(2021)128 cited
- → PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms(2022)111 cited
- → An Agent-Based Modeling of COVID-19: Validation, Analysis, and Recommendations(2021)94 cited
- → ACC-UNet: A Completely Convolutional UNet Model for the 2020s(2023)91 cited
- → A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals(2022)85 cited
- → Differentiation and classification of bacterial endotoxins based on surface enhanced Raman scattering and advanced machine learning(2022)57 cited
- → EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication(2021)53 cited
- → An Agent Based Modeling of COVID-19: Validation, Analysis, and Recommendations(2020)49 cited