| COVID-19 Detection through Transfer Learning using Multimodal Imaging Data MJ Horry, S Chakraborty, M Paul, A Ulhaq, B Pradhan, M Saha, N Shukla IEEE ACCESS, 1-14, 2020 | 515 | 2020 |
| Human detection in surveillance videos and its applications-a review M Paul, SME Haque, S Chakraborty EURASIP Journal on Advances in Signal Processing 2013 (1), 1-16, 2013 | 299 | 2013 |
| Just noticeable difference for images with decomposition model for separating edge and textured regions A Liu, W Lin, M Paul, C Deng, F Zhang IEEE Transactions on Circuits and Systems for Video Technology 20 (11), 1648 …, 2010 | 276 | 2010 |
| Deep Learning Models for Retinal Blood Vessels Segmentation: A Survey T Soomro, I Sarwar, L Ajaigi, Zheng, J Gao, O Hellwich, M Paul IEEE ACCESS, 2019 | 158 | 2019 |
| Epileptic Seizure Detection by Analyzing EEG Signals using Different Transformation Techniques MZ Parvez, M Paul Neurocomputing, 2014 | 138 | 2014 |
| Impact of ICA-based image enhancement technique on retinal blood vessels segmentation TA Soomro, TM Khan, MAU Khan, J Gao, M Paul, L Zheng IEEE Access 6, 3524-3538, 2018 | 124 | 2018 |
| COVID-19 control by computer vision approaches: A survey A Ulhaq, J Born, A Khan, DPS Gomes, S Chakraborty, M Paul Ieee Access 8, 179437-179456, 2020 | 119 | 2020 |
| Strided Fully Convolutional Neural Network for Boosting the Sensitivity of Retinal Blood Vessels Segmentation T Soomro, A Afifi, J Gao, O Hellwich, L Zheng, M Paul Expert Systems with Applications, 2019 | 119 | 2019 |
| Epileptic Seizure Prediction by Exploiting Spatiotemporal Relationship of EEG Signals using Phase Correlation Z Parvez, M Paul IEEE Transactions on Neural Systems and Rehabilitation Engineering, 1-13, 2015 | 116 | 2015 |
| Strided U-Net Model: Retinal Vessels Segmentation Using Dice Loss T Soomro, AJ Afifi, J Gao, O Hellwich, M Paul, L Zheng IEEE International Conference on Digital Image Computing: Techniques and …, 2018 | 111 | 2018 |
| X-Ray Image based COVID-19 Detection using Pre-trained Deep Learning Models MJ Horry, S Chakraborty, M Paul, A Ulhaq, B Pradhan, M Saha, N Shukla https://engrxiv.org/wx89s/, 1-13, 2020 | 101 | 2020 |
| COMPUTER VISION FOR COVID-19 CONTROL: A SURVEY A Ulhaq, A Khan, D Gomes, M Paul engrXiv, 10.31224/osf.io/yt9sx, 2020 | 100 | 2020 |
| Balancing scalability and uniformity in SAT witness generator S Chakraborty, KS Meel, MY Vardi Proceedings of the 51st Annual Design Automation Conference, 1-6, 2014 | 97 | 2014 |
| Improved Gaussian mixtures for robust object detection by adaptive multi-background generation M Haque, M Murshed, M Paul 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 87 | 2008 |
| Seizure Prediction using Undulated Global and Local Features MZ Parvez, M Paul IEEE Transactions on Biomedical Engineering, 12, 2016 | 83 | 2016 |
| Direct intermode selection for H. 264 video coding using phase correlation M Paul, W Lin, CT Lau, B Lee IEEE Transactions on Image Processing 20 (2), 461-473, 2010 | 78 | 2010 |
| Boosting Sensitivity of A Retinal Vessel Segmentation Algorithm With Convolutional Neural Network TA Soomr, AJ Afifi, J gao, O Hellwich, AU Khan, Mohammad, M Paul, ... IEEE International conference on Digital Image Computing: Techniques and …, 2017 | 72 | 2017 |
| Explore and model better I-frames for video coding M Paul, W Lin, CT Lau, BS Lee IEEE Transactions on Circuits and Systems for Video Technology 21 (9), 1242-1254, 2011 | 71 | 2011 |
| Computerised Approaches for the Detection of Diabetic Retinopathy Using Retinal Fundus Images: A Survey T Soomro, J Gao, TM Khan, AFM Mani, MAU Khan, M Paul Pattern Analysis and Applications, 1-46, 2017 | 70 | 2017 |
| On stable dynamic background generation technique using Gaussian mixture models for robust object detection M Haque, M Murshed, M Paul 2008 IEEE fifth international conference on advanced video and signal based …, 2008 | 68 | 2008 |
Associate Professor Subrata Chakrab...University of New EnglandEmail được xác minh tại une.edu.au