Ibtehaz, Nabil

1. COVID-19 Infection Localization and Severity Grading from Chest X-ray Images
   2021/03/14 by Tahir, Anas M., Chowdhury, Muhammad E. H., Khandakar, Amith +11 · 10 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
2. PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms using Fully Convolutional Neural Networks
   2020/05/04 by Ibtehaz, Nabil, Mahmud, Sakib, Chowdhury, Muhammad E. H. +4 · 4 citations
   #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
3. ACC-UNet: A Completely Convolutional UNet model for the 2020s
   2023/08/25 by Nabil Ibtehaz, Daisuke Kihara, Ibtehaz, Nabil +1 · 6 citations
   Medicine · Computer Science · #COVID-19 diagnosis using AI #Advanced Neural Network Applications #AI in cancer detection
4. Fusion of regional and sparse attention in Vision Transformers
   2024/06/13 by Ibtehaz, Nabil, Yan, Ning, Mortazavi, Masood +1 · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
5. RamanNet: A generalized neural network architecture for Raman Spectrum Analysis
   2022/01/20 by Ibtehaz, Nabil, Chowdhury, Muhammad E. H., Khandakar, Amith +3 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Detection and severity classification of COVID-19 in CT images using\n deep learning
   2021/02/15 by Yazan Qiblawey, Anas Tahir, Qiblawey, Yazan +16 · 1 citation
   Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering