| Deep learning-based iris segmentation for iris recognition in visible light environment M Arsalan, HG Hong, RA Naqvi, MB Lee, MC Kim, DS Kim, CS Kim, ... Symmetry 9 (11), 263, 2017 | 132 | 2017 |
| IrisDenseNet: Robust iris segmentation using densely connected fully convolutional networks in the images by visible light and near-infrared light camera sensors M Arsalan, RA Naqvi, DS Kim, PH Nguyen, M Owais, KR Park Sensors 18 (5), 1501, 2018 | 127 | 2018 |
| FRED-Net: Fully residual encoder–decoder network for accurate iris segmentation M Arsalan, DS Kim, MB Lee, M Owais, KR Park Expert Systems with Applications 122, 217-241, 2019 | 79 | 2019 |
| Convolutional neural network-based shadow detection in images using visible light camera sensor DS Kim, M Arsalan, KR Park Sensors 18 (4), 960, 2018 | 40 | 2018 |
| OR-Skip-Net: Outer residual skip network for skin segmentation in non-ideal situations M Arsalan, DS Kim, M Owais, KR Park Expert Systems with Applications 141, 112922, 2020 | 36 | 2020 |
| Semantic segmentation by multi-scale feature extraction based on grouped dilated convolution module DS Kim, YH Kim, KR Park Mathematics 9 (9), 947, 2021 | 8 | 2021 |
| ESSN: Enhanced semantic segmentation network by residual concatenation of feature maps DS Kim, M Arsalan, M Owais, KR Park IEEE Access 8, 21363-21379, 2020 | 7 | 2020 |
Muhammad ArsalanKINDI Center for Computing Research, College of Engineering, Qatar University在 qu.edu.qa 的电子邮件经过验证
Muhammad ArsalanKINDI Center for Computing Research, College of Engineering, Qatar University在 qu.edu.qa 的电子邮件经过验证
Muhammad OwaisPostdoctoral Fellow at Khalifa University, UAE (ماشاءاللہ)在 ku.ac.ae 的电子邮件经过验证