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科研成果

科研项目

国家级：
1. 2018.1-2021.12，放疗规划中基于机器学习的肿瘤区域自动分割方法研究, 国家自然科学基金面上项目，81771921。
2. 2020.1-2022.12，基于深度学习的医学图像交互式分割方法研究，国家自然科学基金青年项目，61901084。
3. 2023.1-2026.12，三维医学图像分割中基于深度主动学习的高效率标注方法研究，国家自然科学基金面上项目， 62271115。
省部级：

1， 2020.1-2021.12，基于人工智能的医学图像交互式分割方法研究，四川省重点研发项目， 2020YFG0084。

论文成果

2023年
1. Honghua Hu, Wei Xu, Ting Jiang, Yuheng Cheng, Xiaoyan Tao, Wenna Liu, Meiling Jian, Kang Li, Guotai Wang*,“Expert-Level Immunofixation Electrophoresis Image Recognition based on Explainable and Generalizable Deep Learning.” Clinical Chemistry, 69, no. 2 (2023): 130-139. (2022 IF 12.167) link
2. Xiangde Luo, Wenjun Liao*, Yuan He, Fan Tang, Mengwan Wu, Yuanyuan Shen, Hui Huang, Tao Song, Kang Li, Shichuan Zhang, Shaoting Zhang, Guotai Wang*,“Deep learning-based accurate delineation of primary gross tumor volume of nasopharyngeal carcinoma on heterogeneous magnetic resonance imaging: a large-scale and multi-center study.” Radiotherapy and Oncology, 180 Martch (2023): 109480. (2022 IF 6.90) link
3. Dejene M. Sime, Guotai Wang*, Zhi Zeng, Wei Wang, Bei Peng*. “Semi-Supervised Defect Segmentation with Pairwise Similarity Map Consistency and Ensemble-Based Cross-Pseudo Labels.”IEEE Transactions on Industrial Informatics, Early Access (2023). (2022 IF 11.648) link
4. Guotai Wang, Shaoting Zhang, Xiaolei Huang, Tom Vercauteren, Dimitris Metaxas. “Editorial for Special Issue on Explainable and Generalizable Deep Learning Methods for Medical Image Computing.” Medical Image Analysis, 84 February (2023): 102727. (2022 IF 13.828) link
5. Shuwei Zhai, Guotai Wang*, Xiangde Luo, Qiang Yue, Kang Li, Shaoting Zhang. “PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation.” IEEE Transactions on Medical Imaging, Early Access, 2023. (2021 IF 10.048) link, arxiv
6. Qianfei Zhao, Lanfeng Zhong, Jianghong Xiao, Jingbo Zhang, Yinan Chen, Wenjun Liao, Shaoting Zhang, Guotai Wang*. “Efficient Multi-Organ Segmentation from 3D Abdominal CT Images with Lightweight Network and Knowledge Distillation.” IEEE Transactions on Medical Imaging, Early Access, 2023. (2021 IF 10.048) link
7. Jingyang Zhang, Ran Gu, Peng Xue, Mianxin Liu, Hao Zheng, Yefeng Zheng, Lei Ma, Guotai Wang*, Lixu Gu*. “S3R: Shape and Semantics-based Selective Regularization for Explainable Continual Segmentation across Multiple Sites .” IEEE Transactions on Medical Imaging, Early Access, 2023. (2021 IF 10.048) link
8. Ran Gu, Jingyang Zhang, Guotai Wang*, Wenhui Lei, Tao Song, Xiaofan Zhang, Kang Li, Shaoting Zhang*. “Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures.” IEEE Transactions on Medical Imaging, 42, no.1 (2023): 245-256. (2021 IF 10.048) link, arxiv
9. Guotai Wang, Xiangde Luo, Ran Gu, Shuojue Yang, Yijie Qu, Shuwei Zhai, Qianfei Zhao, Kang Li, Shaoting Zhang. “PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation.”Computer Methods and Programs in Biomedicine (CMPB), 7 February (2023): 107398. (2022 IF 7.027) link arxiv code
10. Qianfei Zhao, Guotai Wang*, Wenhui Lei, Hao Fu, Yijie Qu, Jiangshan Lu, Shichuan Zhang, Shaoting Zhang. "Segmentation of multiple organs-at-risk associated with brain tumors based on coarse-to-fine stratified networks.”Medical Physics, Early Access, 2023. link
11. Jianghao Wu, Ran Gu, Tao Lu, Shaoting Zhang, Guotai Wang*. "UPL-TTA: Uncertainty-aware Pseudo Label Guided Fully Test Time Adaptation for Fetal Brain Segmentation", in Information Processing in Medical Imaging (IPMI), Accepted, 2023.
12. Jie Wei, Guotai Wang*. "Fine-grained Our-of-distribution Detection of Medical Images using Combination of Featue Uncertainty and Mahalanobis Distance", in IEEE International Symposium on Biomedical Imaging (ISBI), Accepted, 2023.
13. Baosheng Zou, Zongguang Zhou, Ying Han, Kang Li, Guotai Wang*. "Multi-scale Convolution-Transformer Fusion Network for Endoscopic Image Segmentation", in IEEE International Symposium on Biomedical Imaging (ISBI), Accepted, 2023.
2022年
1. Xiangde Luo, Guotai Wang*, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuan Zhang, Dimitris N. Metaxas, Shaoting Zhang*. "Semi-Supervised Medical Image Segmentation via Uncertainty Rectified Pyramid Consistency.”Medical Image Analysis, 80 (2022): 102517. (2022 IF 13.828) link
2. Xiangde Luo, Wenjun Liao, Jianghong Xiao*, Jieneng Chen, Tao Song, Xiaofan Zhang, Kang Li, Dimitris N. Metaxas, Guotai Wang*, Shaoting Zhang*. "WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image.”Medical Image Analysis, 82 (2022): 102642. (2022 IF 13.828) link
3. Xiangde Luo, Tao Song, Guotai Wang*, Jieneng Chen, Yinan Chen, Kang Li, Dimitris N. Metaxas, Shaoting Zhang. "SCPM-Net: An Anchor-Free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching .” Medical Image Analysis, 75 (2022): 102287. (2022 IF 13.828) link
4. Guotai Wang*, Shuwei Zhai, Giovanni Lasio, Baoshe Zhang, Byong Yi, Shifeng Chen, Thomas J. Macvittie, Dimitris Metaxas, Jinghao Zhou, Shaoting Zhang*. “Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention.” IEEE Transactions on Medical Imaging, 31, no. 3(2022): 531-542. (2022 IF 11.037) link, arxiv
5. Hao Fu, Guotai Wang*, Wenhui Lei, Wei Xu, Qianfei Zhao, Shichuan Zhang, Kang Li, Shaoting Zhang. "HMRNet: High-and-Multi- Resolution Network with Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy", IEEE Journal of Biomedical and Health Informatics (JBHI), 26, no. 9 (2022): 4519-4529. (2022 IF 7.021) link
6. Shuojue Yang, Guotai Wang*, Hui Sun, Xiangde Luo, Peng Sun, Kang Li, Qijun Wang, Shaoting Zhang. "Learning COVID-19 Pneumonia Lesion Segmentation from Imperfect Annotations via Divergence-Aware Selective Training", IEEE Journal of Biomedical and Health Informatics (JBHI), 26, no. 8 (2022): 3673-3684. (2022 IF 7.021) link
7. Wei Xu, Donghai Xiang, Guotai Wang*, Ruisong Liao, Ming Shao*, Kang Li*. "Multiview Video-Based 3-D Pose Estimation of Patients in Computer-Assisted Rehabilitation Environment (CAREN) ” IEEE Transactions on Human-Machine Systems, 52, no. 2 (2022): 196-206. link
8. Wenjun Liao, Jinlan He, Xiangde Luo, Mengwan Wu, Yuanyuan Shen, Churong Li, Jianghong Xiao, Guotai Wang, Nianyong Chen. "Automatic Delineation of Gross Tumor Volume Based on Magnetic Resonance Imaging by Performing a Novel Semisupervised Learning Framework in Nasopharyngeal Carcinoma” International Journal of Radiation Oncology Biology Physics, 113, no. 4 (2022): 893-902. (2022 IF 8.013) link
9. Xiangde Luo, Minhao Hu, Wenjun Liao, Shuwei Zhai, Tao Song, Guotai Wang*, Shaoting Zhang. "Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision", in International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp 528-538, 2022. pdf, code
10. Jianghao Wu, Ran Gu, Guiming Dong, Guotai Wang*, Shaoting Zhang. "FPL-UDA: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for Vestibular Schwannoma Segmentation", in IEEE International Symposium on Biomedical Imaging (ISBI), 2022. link (Oral presentation)
11. Xiangde Luo, Minhao Hu, Tao Song, Guotai Wang*, Shaoting Zhang, "Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer ", in Medical Imaging with Deep Learning (MIDL), pp. 1-14, 2022. link
12. Xin Qi, Jun Kong, Fuyong Xing, Guotai Wang, Zhuotun Zhu. “Editorial: Advances in AI methods for computational pathology.”Frontiers in Medicine, 9 (2022): 974857. link

2023年

2022年