| 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 | 533 | 2020 |
| 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 | 99 | 2014 |
| 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 | 85 | 2021 |
| 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 | 83 | 2021 |
| 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 | 71 | 2017 |
| 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 | 60 | 2018 |
| 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 | 59 | 2020 |
| 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 | 59 | 2018 |
| 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 | 59 | 2017 |
| 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 | 58 | 2018 |
| 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 | 55 | 2019 |
| A wavelet-based dominant feature extraction algorithm for palm-print recognition H Imtiaz, SA Fattah Digital Signal Processing 23 (1), 244-258, 2013 | 49 | 2013 |
| 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 | 48 | 2020 |
| 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 | 47 | 2015 |
| 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 | 46 | 2012 |
| 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 | 45 | 2020 |
| 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 | 44 | 2019 |
| 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 | 43 | 2014 |
| 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 | 42 | 2014 |
| 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 | 35 | 2014 |
Celia ShahnazProfessor, Department of EEE, Bangladesh University of Engineering and TechnologyVerified email at eee.buet.ac.bd
