| Recurrent residual convolutional neural network based on u-net (r2u-net) for medical image segmentation MZ Alom, M Hasan, C Yakopcic, TM Taha, VK Asari arXiv preprint arXiv:1802.06955, 2018 | 2260* | 2018 |
| A state-of-the-art survey on deep learning theory and architectures MZ Alom, TM Taha, C Yakopcic, S Westberg, P Sidike, MS Nasrin, ... electronics 8 (3), 292, 2019 | 1847 | 2019 |
| Learning temporal regularity in video sequences M Hasan, J Choi, J Neumann, AK Roy-Chowdhury, LS Davis Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1536 | 2016 |
| Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches M Hasan, MM Islam, MII Zarif, MMA Hashem Internet of Things 7, 100059, 2019 | 884 | 2019 |
| Diagnostics for SARS-CoV-2 infections BD Kevadiya, J Machhi, J Herskovitz, MD Oleynikov, WR Blomberg, ... Nature materials 20 (5), 593-605, 2021 | 848 | 2021 |
| The natural history, pathobiology, and clinical manifestations of SARS-CoV-2 infections J Machhi, J Herskovitz, AM Senan, D Dutta, B Nath, MD Oleynikov, ... Journal of neuroimmune pharmacology 15, 359-386, 2020 | 828 | 2020 |
| Diabetes prediction using ensembling of different machine learning classifiers MK Hasan, MA Alam, D Das, E Hossain, M Hasan IEEE Access 8, 76516-76531, 2020 | 554 | 2020 |
| CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images E Hussain, M Hasan, MA Rahman, I Lee, T Tamanna, MZ Parvez Chaos, Solitons & Fractals 142, 110495, 2021 | 473 | 2021 |
| Breast cancer prediction: a comparative study using machine learning techniques MM Islam, MR Haque, H Iqbal, MM Hasan, M Hasan, MN Kabir SN Computer Science 1, 1-14, 2020 | 344 | 2020 |
| Bioherbicides: An eco-friendly tool for sustainable weed management M Hasan, MS Ahmad-Hamdani, AM Rosli, H Hamdan Plants 10 (6), 1212, 2021 | 212 | 2021 |
| Plants metabolites: possibility of natural therapeutics against the COVID-19 pandemic FR Bhuiyan, S Howlader, T Raihan, M Hasan Frontiers in medicine 7, 444, 2020 | 205 | 2020 |
| Techno-economic and environmental assessment of a hybrid renewable energy system using multi-objective genetic algorithm: A case study for remote Island in Bangladesh BK Das, R Hassan, MSHK Tushar, F Zaman, M Hasan, P Das Energy Conversion and Management 230, 113823, 2021 | 163 | 2021 |
| Improved inception-residual convolutional neural network for object recognition MZ Alom, M Hasan, C Yakopcic, TM Taha, VK Asari Neural Computing and Applications 32 (1), 279-293, 2020 | 149 | 2020 |
| Prevalence of preeclampsia and the associated risk factors among pregnant women in Bangladesh AD Mou, Z Barman, M Hasan, R Miah, JM Hafsa, A Das Trisha, N Ali Scientific reports 11 (1), 21339, 2021 | 134 | 2021 |
| Association between serum uric acid and metabolic syndrome: a cross-sectional study in Bangladeshi adults N Ali, R Miah, M Hasan, Z Barman, AD Mou, JM Hafsa, AD Trisha, ... Scientific reports 10 (1), 7841, 2020 | 131 | 2020 |
| Phosphorous in the environment: characteristics with distribution and effects, removal mechanisms, treatment technologies, and factors affecting recovery as minerals in natural … HM Azam, ST Alam, M Hasan, DDS Yameogo, AD Kannan, A Rahman, ... Environmental Science and Pollution Research 26, 20183-20207, 2019 | 131 | 2019 |
| Handwritten Bangla Character Recognition Using the State‐of‐the‐Art Deep Convolutional Neural Networks MZ Alom, P Sidike, M Hasan, TM Taha, VK Asari Computational intelligence and neuroscience 2018 (1), 6747098, 2018 | 126 | 2018 |
| Optimal sizing of a grid-independent PV/diesel/pump-hydro hybrid system: A case study in Bangladesh BK Das, M Hasan, F Rashid Sustainable Energy Technologies and Assessments 44, 100997, 2021 | 124 | 2021 |
| Context aware active learning of activity recognition models M Hasan, AK Roy-Chowdhury Proceedings of the IEEE International Conference on Computer Vision, 4543-4551, 2015 | 123 | 2015 |
| Recurrent residual convolutional neural network based on U-Net (R2U-Net) for medical image segmentation. arXiv MZ Alom, M Hasan, C Yakopcic, TM Taha, VK Asari arXiv preprint arXiv:1802.06955 10, 2018 | 117 | 2018 |
