Idrid: Diabetic retinopathy–segmentation and grading challenge P Porwal, S Pachade, M Kokare, G Deshmukh, J Son, W Bae, L Liu, ... Medical image analysis 59, 101561, 2020 | 296 | 2020 |
Large-scale retrieval for medical image analytics: A comprehensive review Z Li, X Zhang, H Müller, S Zhang Medical image analysis 43, 66-84, 2018 | 245 | 2018 |
Feature concatenation multi-view subspace clustering Q Zheng, J Zhu, Z Li, S Pang, J Wang, Y Li arXiv preprint arXiv:1901.10657, 2019 | 121 | 2019 |
Cancer metastasis detection via spatially structured deep network B Kong, X Wang, Z Li, Q Song, S Zhang Information Processing in Medical Imaging: 25th International Conference …, 2017 | 102 | 2017 |
Efficient registration of multi-view point sets by K-means clustering J Zhu, Z Jiang, GD Evangelidis, C Zhang, S Pang, Z Li Information Sciences 488, 205-218, 2019 | 90 | 2019 |
Generalized label enhancement with sample correlations Q Zheng, J Zhu, H Tang, X Liu, Z Li, H Lu IEEE Transactions on Knowledge and Data Engineering 35 (1), 482-495, 2021 | 73 | 2021 |
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system Q Da, X Huang, Z Li, Y Zuo, C Zhang, J Liu, W Chen, J Li, D Xu, Z Hu, H Yi, ... Medical Image Analysis 80, 102485, 2022 | 59 | 2022 |
Comprehensive multi-view representation learning Q Zheng, J Zhu, Z Li, Z Tian, C Li Information Fusion 89, 198-209, 2023 | 45 | 2023 |
Constrained bilinear factorization multi-view subspace clustering Q Zheng, J Zhu, Z Tian, Z Li, S Pang, X Jia Knowledge-Based Systems 194, 105514, 2020 | 42 | 2020 |
CFEA: Collaborative feature ensembling adaptation for domain adaptation in unsupervised optic disc and cup segmentation P Liu, B Kong, Z Li, S Zhang, R Fang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 42 | 2019 |
Multi-view subspace clustering networks with local and global graph information Q Zheng, J Zhu, Y Ma, Z Li, Z Tian Neurocomputing 449, 15-23, 2021 | 40 | 2021 |
Robust registration of partially overlapping point sets via genetic algorithm with growth operator J Zhu, D Meng, Z Li, S Du, Z Yuan IET Image Processing 8 (10), 582-590, 2014 | 40 | 2014 |
Surface reconstruction via efficient and accurate registration of multiview range scans J Zhu, Z Li, S Du, L Ma, T Zhang Optical Engineering 53 (10), 102104-102104, 2014 | 37 | 2014 |
Label enhancement with sample correlations via low-rank representation H Tang, J Zhu, Q Zheng, J Wang, S Pang, Z Li Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5932-5939, 2020 | 31 | 2020 |
Collaborative unsupervised multi-view representation learning Q Zheng, J Zhu, Z Li IEEE Transactions on Circuits and Systems for Video Technology 32 (7), 4202-4210, 2021 | 29 | 2021 |
Improved techniques for multi-view registration with motion averaging Z Li, J Zhu, K Lan, C Li, C Fang 2014 2nd International Conference on 3D Vision 1, 713-719, 2014 | 28 | 2014 |
Graph-guided unsupervised multiview representation learning Q Zheng, J Zhu, Z Li, H Tang IEEE Transactions on Circuits and Systems for Video Technology 33 (1), 146-159, 2022 | 24 | 2022 |
3D mapping of outdoor environments by scan matching and motion averaging Z Jiang, J Zhu, Z Lin, Z Li, R Guo Neurocomputing 372, 17-32, 2020 | 24 | 2020 |
Bidirectional loss function for label enhancement and distribution learning X Liu, J Zhu, Q Zheng, Z Li, R Liu, J Wang Knowledge-Based Systems 213, 106690, 2021 | 23 | 2021 |
Simultaneous merging multiple grid maps using the robust motion averaging Z Jiang, J Zhu, Y Li, J Wang, Z Li, H Lu Journal of Intelligent & Robotic Systems 94, 655-668, 2019 | 23 | 2019 |