| CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting S Graham, QD Vu, M Jahanifar, M Weigert, U Schmidt, W Zhang, J Zhang, ... Medical image analysis 92, 103047, 2024 | 10 | 2024 |
| Merging nucleus datasets by correlation-based cross-training W Zhang, J Zhang, X Wang, S Yang, J Huang, W Yang, W Wang, X Han Medical Image Analysis 84, 102705, 2023 | 6 | 2023 |
| Knowledge-Based Representation Learning for Nucleus Instance Classification From Histopathological Images W Zhang, J Zhang, S Yang, X Wang, W Yang, J Huang, W Wang, X Han IEEE Transactions on Medical Imaging 41 (12), 3939-3951, 2022 | 1 | 2022 |
| Marching Windows: Scalable Mesh Generation for Volumetric Data with Multiple Materials W Zhang, Y Yue, H Pan, Z Chen, C Wang, H Pfister, W Wang IEEE Transactions on Visualization and Computer Graphics, 2022 | | 2022 |
| AugHover-Net: Augmenting Hover-net for Nucleus Segmentation and Classification W Zhang, J Zhang arXiv preprint arXiv:2203.03415, 2022 | | 2022 |
| Winning the Nuclear Composition Prediction Task in the 2022 Conic Challenge: A State-of-The-Art Nuclei Analysis Framework W Zhang, X Wang, S Yang, J Zhang Available at SSRN 4538127, 0 | | |
Xiyue WangSichuan UniversityVerified email at stu.scu.edu.cn
