Tanvir Mahmud

Employment

• The University of Texas at Austin Graduate research Assistant
  2021 - Present

Education

• The University of Texas at Austin PhD
  2021 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• MD-CardioNet: A Multi-Dimensional Deep Neural Network for Cardiovascular Disease Diagnosis From Electrocardiogram
  IEEE Journal of Biomedical and Health Informatics 2024 DOI: 10.1109/JBHI.2023.3308856
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• A dual-stage deep convolutional neural network for automatic diagnosis of COVID-19 and pneumonia from chest CT images
  Computers in Biology and Medicine 2022 DOI: 10.1016/j.compbiomed.2022.105806
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• CovSegNet: A Multi Encoder–Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans
  IEEE Transactions on Artificial Intelligence 2021 DOI: 10.1109/TAI.2021.3064913
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• A Novel Multi-Stage Training Approach for Human Activity Recognition From Multimodal Wearable Sensor Data Using Deep Neural Network
  IEEE Sensors Journal 2021 DOI: 10.1109/JSEN.2020.3015781
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• PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images
  Computers in Biology and Medicine 2021 DOI: 10.1016/j.compbiomed.2020.104119
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• CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans
  IEEE Transactions on Industrial Informatics 2021 DOI: 10.1109/tii.2020.3048391
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• Sleep Apnea Detection From Variational Mode Decomposed EEG Signal Using a Hybrid CNN-BiLSTM
  IEEE Access 2021 DOI: 10.1109/ACCESS.2021.3097090
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• CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization
  Computers in Biology and Medicine 2020 DOI: 10.1016/j.compbiomed.2020.103869
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• DeepArrNet: An Efficient Deep CNN Architecture for Automatic Arrhythmia Detection and Classification From Denoised ECG Beats
  IEEE Access 2020 DOI: 10.1109/ACCESS.2020.2998788
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