Md Awsafur Rahman

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 13

Top Topics

Atrial Fibrillation

Depth Estimation

Images With Ground Truth

Top Venues

Biomed. Signal Process. Control.

Publications

Md Awsafur Rahman, Shaikh Anowarul Fattah
Semi-Supervised Semantic Depth Estimation using Symbiotic Transformer and NearFarMix Augmentation. WACV (2024)
Md Awsafur Rahman, Bishmoy Paul, Tanvir Mahmud, Shaikh Anowarul Fattah
CIFF-Net: Contextual image feature fusion for Melanoma diagnosis. Biomed. Signal Process. Control. 88 (Part A) (2024)
Md Awsafur Rahman, Shaikh Anowarul Fattah
DwinFormer: Dual Window Transformers for End-to-End Monocular Depth Estimation. CoRR (2023)
Md Awsafur Rahman, Shaikh Anowarul Fattah
Semi-Supervised Semantic Depth Estimation using Symbiotic Transformer and NearFarMix Augmentation. CoRR (2023)
Md Awsafur Rahman, Bishmoy Paul, Najibul Haque Sarker, Zaber Ibn Abdul Hakim, Shaikh Anowarul Fattah
Artifact: A Large-Scale Dataset With Artificial And Factual Images For Generalizable And Robust Synthetic Image Detection. ICIP (2023)
Md Awsafur Rahman, Bishmoy Paul, Tanvir Mahmud, Shaikh Anowarul Fattah
CIFF-Net: Contextual Image Feature Fusion for Melanoma Diagnosis. CoRR (2023)
Md Awsafur Rahman, Bishmoy Paul, Najibul Haque Sarker, Zaber Ibn Abdul Hakim, Shaikh Anowarul Fattah, Mohammad Saquib
Syn-Att: Synthetic Speech Attribution via Semi-Supervised Unknown Multi-Class Ensemble of CNNs. CoRR (2023)
Md Awsafur Rahman, Bishmoy Paul, Najibul Haque Sarker, Zaber Ibn Abdul Hakim, Shaikh Anowarul Fattah
ArtiFact: A Large-Scale Dataset with Artificial and Factual Images for Generalizable and Robust Synthetic Image Detection. CoRR (2023)
Md Awsafur Rahman, Shahed Ahmed, Shaikh Anowarul Fattah
A Deep Learning Scheme for Detecting Atrial Fibrillation Based on Fusion of Raw and Discrete Wavelet Transformed ECG Features. EMBC (2022)
Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah, Sun-Yuan Kung
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans. IEEE Trans. Artif. Intell. 2 (3) (2021)
Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah
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 122 (2020)
Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah, Sun-Yuan Kung
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans. CoRR (2020)
Md Awsafur Rahman, M. T. Haque, Celia Shahnaz, Shaikh Anowarul Fattah, Wei-Ping Zhu, M. Omair Ahmed
Skin lesions classification based on color plane-histogram-image quality analysis features extracted from digital images. MWSCAS (2017)