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Professor Manoranjan Paul
Professor Manoranjan Paul
ICT Researcher of the Year 2017 (ACS)
Verified email at csu.edu.au - Homepage
Title
Cited by
Cited by
Year
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
4622020
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
2852013
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
2592010
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
1352019
Epileptic Seizure Detection by Analyzing EEG Signals using Different Transformation Techniques
MZ Parvez, M Paul
Neurocomputing, 2014
1292014
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
1192018
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
1162015
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
1102020
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
1052019
COMPUTER VISION FOR COVID-19 CONTROL: A SURVEY
A Ulhaq, A Khan, D Gomes, M Paul
engrXiv, 10.31224/osf.io/yt9sx, 2020
952020
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
942018
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
922020
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
922014
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
852008
Seizure Prediction using Undulated Global and Local Features
MZ Parvez, M Paul
IEEE Transactions on Biomedical Engineering, 12, 2016
812016
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
762010
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
692011
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
682008
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
652017
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
642017
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Articles 1–20