activity
20202023
most citedA Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Network

56 citations · 111 across the 6 of their papers we have counts for

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2 papers · 1 filter

eess.IV2021★ 52 cited

CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans

Tanvir Mahmud, Md. Jahin Alam, Sakib Chowdhury +4

Rapid and precise diagnosis of COVID-19 is one of the major challenges faced by the global community to control the spread of this overgrowing pandemic. In this paper, a hybrid neu…

eess.IV2020★ 2 cited

CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans

Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah +1

Automatic lung lesions segmentation of chest CT scans is considered a pivotal stage towards accurate diagnosis and severity measurement of COVID-19. Traditional U-shaped encoder-de…