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Shaikh Anowarul Fattah
Shaikh Anowarul Fattah
Professor, Dept. of EEE, BUET
Verified email at eee.buet.ac.bd - Homepage
Title
Cited by
Cited by
Year
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 …
T Mahmud, MA Rahman, SA Fattah
Computers in biology and medicine 122, 103869, 2020
5292020
Wavelet domain feature extraction scheme based on dominant motor unit action potential of EMG signal for neuromuscular disease classification
ABMSU Doulah, SA Fattah, WP Zhu, MO Ahmad
IEEE transactions on Biomedical Circuits and Systems 8 (2), 155-164, 2014
992014
An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound
AG Dastider, F Sadik, SA Fattah
Computers in Biology and Medicine 132, 104296, 2021
832021
PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images
T Mahmud, B Paul, SA Fattah
Computers in biology and medicine 128, 104119, 2021
822021
A time-frequency domain approach of heart rate estimation from photoplethysmographic (PPG) signal
MT Islam, I Zabir, ST Ahamed, MT Yasar, C Shahnaz, SA Fattah
Biomedical Signal Processing and Control 36, 146-154, 2017
702017
Deeparrnet: An efficient deep cnn architecture for automatic arrhythmia detection and classification from denoised ecg beats
T Mahmud, SA Fattah, M Saquib
IEEE Access 8, 104788-104800, 2020
592020
Real-time american sign language recognition using skin segmentation and image category classification with convolutional neural network and deep learning
S Shahriar, A Siddiquee, T Islam, A Ghosh, R Chakraborty, AI Khan, ...
TENCON 2018-2018 IEEE Region 10 Conference, 1168-1171, 2018
592018
CHOBS: Color histogram of block statistics for automatic bleeding detection in wireless capsule endoscopy video
T Ghosh, SA Fattah, KA Wahid
IEEE journal of translational engineering in health and medicine 6, 1-12, 2018
592018
Sleep apnea detection based on rician modeling of feature variation in multiband EEG signal
A Bhattacharjee, S Saha, SA Fattah, WP Zhu, MO Ahmad
IEEE journal of biomedical and health informatics 23 (3), 1066-1074, 2018
582018
Detection of anemia from image of the anterior conjunctiva of the eye by image processing and thresholding
A Tamir, CS Jahan, MS Saif, SU Zaman, MM Islam, AI Khan, SA Fattah, ...
2017 IEEE region 10 humanitarian technology conference (R10-HTC), 697-701, 2017
582017
Image-based bengali sign language alphabet recognition for deaf and dumb community
AM Rafi, N Nawal, NSN Bayev, L Nima, C Shahnaz, SA Fattah
2019 IEEE global humanitarian technology conference (GHTC), 1-7, 2019
542019
A wavelet-based dominant feature extraction algorithm for palm-print recognition
H Imtiaz, SA Fattah
Digital Signal Processing 23 (1), 244-258, 2013
492013
CovTANet: a hybrid tri-level attention-based network for lesion segmentation, diagnosis, and severity prediction of COVID-19 chest CT scans
T Mahmud, MJ Alam, S Chowdhury, SN Ali, MM Rahman, SA Fattah, ...
IEEE Transactions on Industrial Informatics 17 (9), 6489-6498, 2020
482020
Automatic brain tumor detection and segmentation from multi-modal MRI images based on region growing and level set evolution
I Zabir, S Paul, MA Rayhan, T Sarker, SA Fattah, C Shahnaz
2015 IEEE International WIE Conference on Electrical and Computer …, 2015
472015
Identifying the motor neuron disease in EMG signal using time and frequency domain features with comparison
SA Fattah, MA Iqbal, MA Jumana, ABMSU Doulah
Signal & Image Processing 3 (2), 99, 2012
462012
A novel multi-stage training approach for human activity recognition from multimodal wearable sensor data using deep neural network
T Mahmud, AQMS Sayyed, SA Fattah, SY Kung
IEEE Sensors Journal 21 (2), 1715-1726, 2020
452020
Automated brain tumor segmentation based on multi-planar superpixel level features extracted from 3D MR images
T Imtiaz, S Rifat, SA Fattah, KA Wahid
IEEE Access 8, 25335-25349, 2019
442019
A statistical feature based novel method to detect bleeding in wireless capsule endoscopy images
T Ghosh, SK Bashar, MS Alam, K Wahid, SA Fattah
2014 International Conference on Informatics, Electronics & Vision (ICIEV), 1-4, 2014
432014
Neuromuscular disease classification based on mel frequency cepstrum of motor unit action potential
ABMSU Doulah, SA Fattah
2014 International Conference on Electrical Engineering and Information …, 2014
422014
An automatic bleeding detection scheme in wireless capsule endoscopy based on histogram of an RGB-indexed image
T Ghosh, SA Fattah, C Shahnaz, KA Wahid
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
352014
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