张月，女，1995年2月生。于2016年在西南交通大学取得工学学士学位，2021年在浙江大学取得工学博士学位（导师：童若锋教授）。2022年3月加入中国科学技术大学苏州高等研究院从事博士后研究，导师周少华教授。

电子邮箱：yuezhang_95@163.com

联系地址：中国科学技术大学苏州高等研究院明德楼A319

主要研究方向

医学影像分析、深度学习

学术论文

1.Zhang Y, Peng C, Peng L, Xu Y, Lin L, Tong R, Peng Z, Mao X, Hu H, Chen Y.W. DeepRecS: From RECIST Diameters to Precise Liver Tumor Segmentation [J]. IEEE Journal of Biomedical and Health Informatics, 2022, 26(2): 614-625.

2.Zhang Y, Peng C, Peng L, Huang H, Tong R, Lin L, Li J, Chen Y.W., Chen Q. Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting [C]. International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2021: 68-77.

3.Zhang Y, Tong R, Song D, Yan X, Lin L, Wu J. Joined fragment segmentation for fractured bones using GPU accelerated shape-preserving erosion and dilation [J]. Medical & Biological Engineering & Computing, 2020, 58(1): 155-170.

4.Huang H, Lin L, Zhang Y, Xu Y, Zheng J, Mao X, Qian X, Peng Z, Zhou J, Chen Y.W., Tong R. Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution [C]. Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021: 7386-7395.

5.Peng C, Zhang Y, Zheng J, Li B, Shen J, Li M, Liu L, Qiu B, Chen D.Z. IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation [J]. Computerized Medical Imaging and Graphics, 2022, 95: 102021.

6.Xu Y, Cai M, Lin L, Zhang Y, Hu H, Peng Z, Zhang Q, Chen Q, Mao X, Iwamoto Y, Han X, Chen Y.W., Tong R. PA‐ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images [J]. Medical Physics, 2021, 48(7): 3752-3766.

7.Peng L, Lin L, Hu H, Zhang Y, Li H, Iwamoto Y, Han X, Chen Y.W. Semi-supervised learning for semantic segmentation of emphysema with partial annotations. IEEE Journal of Biomedical and Health Informatics [J], 2019, 24(8): 2327-2336.

8.Peng L, Lin L, Lin Y, Zhang Y, Vlasova R.M., Prieto J, Chen Y.W., Gerig G, Styner M. Multi-modal Perceptual Adversarial Learning for Longitudinal Prediction of Infant MR Images [C]. Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis. Springer, Cham, 2020: 284-294.