| Attention-Based DenseUnet Network With Adversarial Training for Skin Lesion Segmentation Z Wei, H Song, L Chen, Q Li, G Han IEEE Access, 2019 | 59 | 2019 |
| The LISS—a public database of common imaging signs of lung diseases for computer-aided detection and diagnosis research and medical education G Han, X Liu, F Han, INT Santika, Y Zhao, X Zhao, C Zhou IEEE Transactions on Biomedical Engineering 62 (2), 648-656, 2014 | 59 | 2014 |
| Hybrid resampling and multi-feature fusion for automatic recognition of cavity imaging sign in lung CT G Han, X Liu, H Zhang, G Zheng, NQ Soomro, M Wang, W Liu Future Generation Computer Systems 99, 2019 | 38 | 2019 |
| Survey on Medical Image Computer Aided Detection and Diagnosis Systems(in Chinese) G Zheng, X Liu, G Han Journal of Software 29 (5), 1471-1514, 2018 | 36* | 2018 |
| Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNs G Han, X Liu, G Zheng, M Wang, S Huang Medical & biological engineering & computing 56, 2201-2212, 2018 | 35 | 2018 |
| An inception module CNN classifiers fusion method on pulmonary nodule diagnosis by signs G Zheng, G Han, NQ Soomro Tsinghua Science and Technology 25 (3), 368-383, 2019 | 34 | 2019 |
| Attentive boundary aware network for multi-scale skin lesion segmentation with adversarial training Z Wei, F Shi, H Song, W Ji, G Han Multimedia Tools and Applications 79, 27115-27136, 2020 | 16 | 2020 |
| A pyramid input augmented multi-scale CNN for GGO detection in 3D lung CT images W Liu, X Liu, X Luo, M Wang, G Han, X Zhao, Z Zhu Pattern Recognition 136, 109261, 2023 | 15 | 2023 |
| A Study of Microscopic Traffic Simulation Based on the SUMO Platform G HAN Computer Engineering & Science 34 (7), 195, 2012 | 15 | 2012 |
| AttR2U-Net: A fully automated model for MRI nasopharyngeal carcinoma segmentation based on spatial attention and residual recurrent convolution J Zhang, L Gu, G Han, X Liu Frontiers in Oncology 11, 816672, 2022 | 14 | 2022 |
| DCNet: Densely connected deep convolutional encoder–decoder network for nasopharyngeal carcinoma segmentation Y Li, G Han, X Liu Sensors 21 (23), 7877, 2021 | 12 | 2021 |
| Lightweight compound scaling network for nasopharyngeal carcinoma segmentation from mr images Y Liu, G Han, X Liu Sensors 22 (15), 5875, 2022 | 8 | 2022 |
| Content-sensitive superpixel segmentation via self-organization-map neural network M Wang, X Liu, NQ Soomro, G Han, W Liu Journal of Visual Communication and Image Representation 63, 102572, 2019 | 8 | 2019 |
| 3D GGO candidate extraction in lung CT images using multilevel thresholding on supervoxels S Huang, X Liu, G Han, X Zhao, Y Zhao, C Zhou Medical Imaging 2018: Computer-Aided Diagnosis 10575, 684-691, 2018 | 4 | 2018 |
| Automated Detection of Lesion Region in Lung Computed Tomography Images: A Review(in Chinese) Guanghui han, Xiabi Liu, Guangyuan zheng Acta Automatica Sinica 43 (12), 2071-2090, 2017 | 4 | 2017 |
| Empirical driven automatic detection of lobulation imaging signs in lung CT G Han, X Liu, N Qadeer Soomro, J Sun, Y Zhao, X Zhao, C Zhou BioMed Research International, 2017 | 4 | 2017 |
| A Novel Computer‐Aided Diagnosis Scheme on Small Annotated Set: G2C‐CAD G Zheng, G Han, NQ Soomro, L Ma, F Zhang, Y Zhao, X Zhao, C Zhou BioMed Research International 2019 (1), 6425963, 2019 | 3 | 2019 |
| A new challenging image dataset with simple background for evaluating and developing co-segmentation algorithms MengqiaoYu, XiabiLiu, MurongWang, GuanghuiHan Signal Processing: Image Communication, 2020 | 2 | 2020 |
| Deep Reinforcement Learning Method for 3D-CT Nasopharyngeal Cancer Localization with Prior Knowledge G Han, Y Kong, H Wu, H Li Applied Sciences 13 (14), 7999, 2023 | 1 | 2023 |
| CAFS: An Attention-Based Co-Segmentation Semi-Supervised Method for Nasopharyngeal Carcinoma Segmentation Y Chen, G Han, T Lin, X Liu Sensors 22 (13), 5053, 2022 | 1 | 2022 |
Nouman Qadeer SoomroAssociate Professor of Software Engineering, Mehran UET, SZAB Campus在 muetkhp.edu.pk 的电子邮件经过验证
Nouman Qadeer SoomroAssociate Professor of Software Engineering, Mehran UET, SZAB Campus在 muetkhp.edu.pk 的电子邮件经过验证