DUNet: A deformable network for retinal vessel segmentation Q Jin, Z Meng, TD Pham, Q Chen, L Wei, R Su Knowledge-Based Systems 178, 149-162, 2019 | 824 | 2019 |
RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans Q Jin, Z Meng, C Sun, H Cui, R Su Frontiers in Bioengineering and Biotechnology 8, 1471, 2020 | 439 | 2020 |
Decision variants for the automatic determination of optimal feature subset in RF-RFE Q Chen, Z Meng, X Liu, Q Jin, R Su Genes 9 (6), 301, 2018 | 141 | 2018 |
Cascade knowledge diffusion network for skin lesion diagnosis and segmentation Q Jin, H Cui, C Sun, Z Meng, R Su Applied Soft Computing 99, 106881, 2021 | 103 | 2021 |
Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses R Su, T Liu, C Sun, Q Jin, R Jennane, L Wei Neurocomputing 385, 300-309, 2020 | 57 | 2020 |
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images Q Jin, H Cui, C Sun, Z Meng, L Wei, R Su Expert Systems with Applications 176, 114848, 2021 | 52 | 2021 |
Free-form tumor synthesis in computed tomography images via richer generative adversarial network Q Jin, H Cui, C Sun, Z Meng, R Su Knowledge-Based Systems 218, 106753, 2021 | 51 | 2021 |
Semi-supervised histological image segmentation via hierarchical consistency enforcement Q Jin, H Cui, C Sun, J Zheng, L Wei, Z Fang, Z Meng, R Su International conference on medical image computing and computer-assisted …, 2022 | 39 | 2022 |
Construction of retinal vessel segmentation models based on convolutional neural network Q Jin, Q Chen, Z Meng, B Wang, R Su Neural Processing Letters 52, 1005-1022, 2020 | 30 | 2020 |
Identification of glioblastoma molecular subtype and prognosis based on deep MRI features R Su, X Liu, Q Jin, X Liu, L Wei Knowledge-Based Systems 232, 107490, 2021 | 18 | 2021 |
Prototype as query for few shot semantic segmentation L Cao, Y Guo, Y Yuan, Q Jin Complex & Intelligent Systems 10 (5), 7265-7278, 2024 | 16 | 2024 |
Predicting esophageal fistula risks using a multimodal self-attention network Y Guan, H Cui, Y Xu, Q Jin, T Feng, H Tu, P Xuan, W Li, L Wang, BL Duh Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 16 | 2021 |
Co-graph attention reasoning based imaging and clinical features integration for lymph node metastasis prediction H Cui, P Xuan, Q Jin, M Ding, B Li, B Zou, Y Xu, B Fan, W Li, J Yu, L Wang, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 15 | 2021 |
Inter-and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation Q Jin, H Cui, C Sun, Y Song, J Zheng, L Cao, L Wei, R Su Expert Systems with Applications 238, 122093, 2024 | 13 | 2024 |
Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation P Xuan, X Wu, H Cui, Q Jin, L Wang, T Zhang, T Nakaguchi, HBL Duh Applied Soft Computing 133, 109905, 2023 | 10 | 2023 |
Semantic meta-path enhanced global and local topology learning for lncRNA-disease association prediction P Xuan, Y Zhao, H Cui, L Zhan, Q Jin, T Zhang, T Nakaguchi IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (2 …, 2022 | 10 | 2022 |
Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation P Xuan, B Jiang, H Cui, Q Jin, P Cheng, T Nakaguchi, T Zhang, C Li, ... Computer Methods and Programs in Biomedicine 226, 107147, 2022 | 9 | 2022 |
Lightweight strawberry instance segmentation on low-power devices for picking robots L Cao, Y Chen, Q Jin Electronics 12 (14), 3145, 2023 | 8 | 2023 |
Encoded texture features to characterize bone radiograph images R Su, W Chen, L Wei, X Li, Q Jin, W Tao 2018 24th International Conference on Pattern Recognition (ICPR), 3856-3861, 2018 | 8 | 2018 |
SOMR: Towards a security-oriented MapReduce infrastructure R Zhao, Z Meng, Y Zheng, Q Jin, A Ruan, H Xie 2017 IEEE Trustcom/BigDataSE/ICESS, 530-537, 2017 | 8 | 2017 |