Title: Deep Learning-based Approaches for 3D Medical Image Segmentation with Small Data

Author: Jia Haozhe

Faculty Adviser: Professor Xia Yong

Cultivating School: School of Computer Science

Subject: Computer Science and Technology

Articles：

1. Haozhe Jia, Yong Xia^*, Yang Song, Donghao Zhang, Heng Huang, Yanning Zhang, and Weidong Cai, “3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images”,IEEE Transactions on Medical Imaging, vol.39, pp.447-457, 2020.

2. Haozhe Jia, Weidong Cai, Heng Huang, and Yong Xia^*, “Learning Multi-scale Synergic Discriminative Features for Prostate Image Segmentation”,Pattern Recognition, vol.126, pp.108556, 2022.

3. Haozhe Jia,Yang Song, Weidong Cai, Heng Huang, and Yong Xia^*, “HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images”,In Proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp.110-118, 2019.

4. Haozhe Jia, Weidong Cai, Heng Huang, and Yong Xia^*, “Learning High-resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images”,In Proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp.480-490, 2020.

5. Haozhe Jia, Weidong Cai, Heng Huang, and Yong Xia^*, “H²NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task”,MICCAI 2020 Brainlesion Workshop, pp.58-68, 2020.