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 | 419 | 2020 |
Scalable deep hashing for large-scale social image retrieval H Cui, L Zhu, J Li, Y Yang, L Nie IEEE Transactions on image processing 29, 1271-1284, 2019 | 163 | 2019 |
Prediction of synergistic anti-cancer drug combinations based on drug target network and drug induced gene expression profiles X Li, Y Xu, H Cui, T Huang, D Wang, B Lian, W Li, G Qin, L Chen, L Xie Artificial intelligence in medicine 83, 35-43, 2017 | 112 | 2017 |
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 | 93 | 2021 |
COVID-19 Lung Infection Segmentation with A Novel Two-Stage Cross-Domain Transfer Learning Framework J Liu, B Dong, S Wang, H Cui, D Fan, J Ma, G Chen Medical Image Analysis, 2021 | 79 | 2021 |
Epileptic seizure detection with EEG textural features and imbalanced classification based on EasyEnsemble learning C Sun, H Cui, W Zhou, W Nie, X Wang, Q Yuan International journal of neural systems 29 (10), 1950021, 2019 | 77 | 2019 |
A unified collaborative multikernel fuzzy clustering for multiview data S Zeng, X Wang, H Cui, C Zheng, D Feng IEEE Transactions on Fuzzy Systems 26 (3), 1671-1687, 2017 | 66 | 2017 |
Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA–disease association prediction N Sheng, H Cui, T Zhang, P Xuan Briefings in Bioinformatics, 2020 | 53 | 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 | 48 | 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 | 45 | 2021 |
Learning Deep Spatial Lung Features by 3D Convolutional Neural Network for Early Cancer Detection T Jin, H Cui, S Zeng, X Wang 2017 International Conference on Digital Image Computing: Techniques and …, 2017 | 44 | 2017 |
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 | 37 | 2022 |
Topology polymorphism graph for lung tumor segmentation in PET-CT images H Cui, X Wang, J Zhou, S Eberl, Y Yin, D Feng, M Fulham Physics in Medicine & Biology 60 (12), 4893, 2015 | 30 | 2015 |
Graph triple-attention network for disease-related lncRNA prediction P Xuan, L Zhan, H Cui, T Zhang, T Nakaguchi, W Zhang IEEE journal of biomedical and health informatics 26 (6), 2839-2849, 2021 | 29 | 2021 |
Dynamic graph convolutional autoencoder with node attribute-wise attention for kidney and tumor segmentation from CT volumes P Xuan, H Cui, H Zhang, T Zhang, L Wang, T Nakaguchi, HBL Duh Knowledge-based Systems, 2021 | 29 | 2021 |
Primary lung tumor segmentation from PET–CT volumes with spatial–topological constraint H Cui, X Wang, W Lin, J Zhou, S Eberl, D Feng, M Fulham International journal of computer assisted radiology and surgery 11, 19-29, 2016 | 27 | 2016 |
Automated localization and segmentation of lung tumor from PET-CT thorax volumes based on image feature analysis H Cui, X Wang, D Feng 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 27 | 2012 |
GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug–protein interaction prediction P Xuan, M Fan, H Cui, T Zhang, T Nakaguchi Briefings in bioinformatics 23 (1), bbab453, 2022 | 22 | 2022 |
HeteroDualNet: A Dual Convolutional Neural Network With Heterogeneous Layers for Drug-Disease Association Prediction via Chou’s Five-Step Rule P Xuan, H Cui, T Shen, N Sheng, T Zhang Frontiers in pharmacology 10, 1301, 2019 | 21 | 2019 |
Prior knowledge enhanced random walk for lung tumor segmentation from low-contrast CT images H Cui, X Wang, M Fulham, DD Feng 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 21 | 2013 |