Imaging spectroscopy for scene analysis A Robles-Kelly, CP Huynh Springer Science & Business Media, 2012 | 64 | 2012 |
Deep learning–driven automated detection of Covid-19 from radiography images: A comparative analysis S Rahman, S Sarker, MAA Miraj, RA Nihal, AKM Nadimul Haque, ... Cognitive Computation, 1-30, 2021 | 46 | 2021 |
Graph convolutional networks for assessment of physical rehabilitation exercises S Deb, MF Islam, S Rahman, S Rahman IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 410-419, 2022 | 42 | 2022 |
Automated covid-19 detection from chest x-ray images: a high-resolution network (hrnet) approach S Ahmed, T Hossain, OB Hoque, S Sarker, S Rahman, FM Shah SN computer science 2 (4), 294, 2021 | 35 | 2021 |
Bangla sign alphabet recognition with zero-shot and transfer learning RA Nihal, S Rahman, NM Broti, SA Deowan Pattern Recognition Letters 150, 84-93, 2021 | 34 | 2021 |
AI-driven Stroke Rehabilitation Systems and Assessment: A Systematic Review S Rahman, S Sarker, AKMN Haque, MM Uttsha, MF Islam, S Deb IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 | 27 | 2022 |
Preliminary estimation of fat depth in the lamb short loin using a hyperspectral camera S Rahman, P Quin, T Walsh, MJ Vidal-Calleja, T., McPhee, E Toohey, ... Animal Production Science 58, 1488-1496, 2018 | 20* | 2018 |
Data-augmentation for Bangla-English Code-Mixed Sentiment Analysis: Enhancing Cross Linguistic Contextual Understanding M Tareq, MF Islam, S Deb, S Rahman, A Al Mahmud IEEE Access, 2023 | 19 | 2023 |
Automated detection approaches to autism spectrum disorder based on human activity analysis: A review S Rahman, SF Ahmed, O Shahid, MA Arrafi, MAR Ahad Cognitive Computation 14 (5), 1773-1800, 2022 | 19 | 2022 |
Design and development of a humanoid robot for sign language interpretation RA Nihal, NM Broti, SA Deowan, S Rahman SN Computer Science 2, 1-17, 2021 | 14 | 2021 |
Contactless human activity analysis MAR Ahad, U Mahbub, T Rahman Springer, 2021 | 13 | 2021 |
COVIDXception-Net: A Bayesian optimization-based deep learning approach to diagnose COVID-19 from X-Ray images SE Arman, S Rahman, SA Deowan SN Computer Science 3 (2), 115, 2022 | 12 | 2022 |
Classifying Eye-Tracking Data Using Saliency Maps S Rahman, S Rahman, O Shahid, MT Abdullah, JA Sourov 2020 25th International Conference on Pattern Recognition (ICPR), 9288-9295, 2021 | 12 | 2021 |
Color photometric stereo using a rainbow light for non-Lambertian multicolored surfaces S Rahman, A Lam, I Sato, A Robles-Kelly Computer Vision–ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 12 | 2015 |
Skeleton-based activity recognition: preprocessing and approaches S Sarker, S Rahman, T Hossain, S Faiza Ahmed, L Jamal, MAR Ahad Contactless Human Activity Analysis, 43-81, 2021 | 11 | 2021 |
Skeleton-based human action recognition on large-scale datasets T Hossain, S Sarker, S Rahman, MAR Ahad Vision, Sensing and Analytics: Integrative Approaches, 125-146, 2021 | 8 | 2021 |
An optimisation approach to the recovery of reflection parameters from a single hyperspectral image S Rahman, A Robles-Kelly Computer Vision and Image Understanding 117 (12), 1672-1688, 2013 | 7 | 2013 |
Simulating the coalescence and separation of bubble and foam by particle level set method R Shimada, S Rahman, Y Kawaguchi Computer Graphics, Imaging and Visualisation, 2008. CGIV'08. Fifth …, 2008 | 7 | 2008 |
Data-driven automated detection of autism spectrum disorder using activity analysis: A review O Shahid, S Rahman, SF Ahmed, MA Arrafi, MAR Ahad Preprints, 2020 | 5 | 2020 |
Design and development of an anthropomorphic robotic hand using TPU material RA Nihal, NM Broti, SA Deowan, S Rahman 2019 2nd international conference on innovation in engineering and …, 2019 | 5 | 2019 |