Tanvir Mahmud
Orcid: 0000-0003-0529-2826
According to our database1,
Tanvir Mahmud
authored at least 24 papers
between 2019 and 2024.
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Bibliography
2024
MD-CardioNet: A Multi-Dimensional Deep Neural Network for Cardiovascular Disease Diagnosis From Electrocardiogram.
IEEE J. Biomed. Health Informatics, April, 2024
Biomed. Signal Process. Control., February, 2024
PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
AVE-CLIP: AudioCLIP-based Multi-window Temporal Transformer for Audio Visual Event Localization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
CLIP4VideoCap: Rethinking Clip for Video Captioning with Multiscale Temporal Fusion and Commonsense Knowledge.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
A dual-stage deep convolutional neural network for automatic diagnosis of COVID-19 and pneumonia from chest CT images.
Comput. Biol. Medicine, 2022
2021
CovTANet: A Hybrid Tri-Level Attention-Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans.
IEEE Trans. Ind. Informatics, 2021
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans.
IEEE Trans. Artif. Intell., 2021
A Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Network.
CoRR, 2021
PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images.
Comput. Biol. Medicine, 2021
Sleep Apnea Detection From Variational Mode Decomposed EEG Signal Using a Hybrid CNN-BiLSTM.
IEEE Access, 2021
2020
Automatic Diagnosis of Malaria from Thin Blood Smear Images using Deep Convolutional Neural Network with Multi-Resolution Feature Fusion.
CoRR, 2020
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.
Comput. Biol. Medicine, 2020
DeepArrNet: An Efficient Deep CNN Architecture for Automatic Arrhythmia Detection and Classification From Denoised ECG Beats.
IEEE Access, 2020
Proceedings of the 2020 IEEE Region 10 Conference, 2020
Proceedings of the 2020 IEEE Region 10 Conference, 2020
ResCovNet: A Deep Learning-Based Architecture For COVID-19 Detection From Chest CT Scan Images.
Proceedings of the 2020 IEEE Region 10 Conference, 2020
Human Activity Recognition From Multi-modal Wearable Sensor Data Using Deep Multi-stage LSTM Architecture Based on Temporal Feature Aggregation.
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020
Sleep Apnea Event Detection from Sub-frame Based Feature Variation in EEG Signal Using Deep Convolutional Neural Network.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Proceedings of the 7th International Conference on Robot Intelligence Technology and Applications, 2019