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

Source:NPU News Date:2022-09-16

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.