2021年

信息来源: 发布日期:2022-07-28

1. Yun Bian, Cong Liu, Qi Li, Yinghao Meng, Fang Liu, Hao Zhang, Xu Fang, Jing Li, Jieyu Yu, Xiaochen Feng, Chao Ma, Zengrui Zhao, Li Wang, Jun Xu, Chengwei Shao, Jianping Lu, Preoperative Radiomics Approach to Evaluating Tumor‐Infiltrating CD8+ T Cells in Patients With Pancreatic Ductal Adenocarcinoma Using Noncontrast Magnetic Resonance Imaging, Journal of Magnetic Resonance Imaging, 2021.[Link to paper]

2. Cong Liu, Yun Bian, Yinghao Meng, Fang Liu, Kai Cao, Hao Zhang, Xu Fang, Jing Li, MD, Jieyu Yu, Xiaochen Feng, Chao Ma, Jianping Lu, Jun Xu, Chengwei Shao, Preoperative prediction of G1 and G2/3 grades in patients with non-functional pancreatic neuroendocrine tumors using multimodality imaging, Academic Radiology, 2021.[Link to paper]

3. Jun Xu, Haoda Lu, Haixin Li, Chaoyang Yan, Xiangxue Wang, Ming Zang, Rooij D.G. de Dirk, Anant Madabhushi, and Eugene Yujun Xu, Computerized Spermatogenesis Staging (CSS) of Testis Sections for Mouse Sperm Development via Quantitative Histomorphological Analysis, Medical Image Analysis, vol. 70, 101835, 2021.[Link to paper]

4. Can F. Koyuncu, Cheng Lu, Kaustav Bera, Zelin Zhang*, Jun Xu, Paula Andrea Toro Castaño, Germán Corredor, Deborah Chute, Pingfu Fu, Wade L. Thorstad, Farhoud Faraji, Justin A. Bishop, Mitra Mehrad, Patricia D. Castro, Andrew G. Sikora, Lester D. R. Thompson, R. D. Chernock, Krystle A. Lang Kuhs, Jingqin Luo, Vlad C. Sandulache, David J. Adelstein, Shlomo Koyfman, James S. Lewis Jr., Anant Madabhushi, Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma: A multi-site validation study, The Journal of Clinical Investigation, 2021.[Link to paper]

5. Xiangxue Wang, Kaustav Bera, Cristian Barrera, Yu Zhou, Cheng Lu, Pranjal Vaidya, Pingfu Fu, Michael Yang, Ralph Alexander Schmid, Sabina Berezowska, Humberto Choi, Vamsidhar Velcheti, Anant Madabhushi, A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer, EBioMedicine, 2021, 69: 103481.[Link to paper]

6. Cheng Lu, Can Koyuncu, German Corredor, Prateek Prasanna, Patrick Leo, XiangXue Wang, Andrew Janowczyk, Kaustav Bera, James Lewis Jr., Vamsidhar Velcheti, Anant Madabhushi,  Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers, Medical Image Analysis, 2021, 68: 101903.[Link to paper]

7. Chaoyang Yan, Jing-Jing Lu, Kang Chen, Lei Wang, Haoda Lu, Li Yu, Mengyan Sun, Jun Xu, Scale- and Slice- aware Net (S2aNet) for 3D segmentation of organs and musculoskeletal structures in pelvic MRI, Magnetic Resonance in Medicine, 00:1–15, 2021.[Link to paper]

8. Yuting Li#, Jianhua Feng#, Teng Zhang, Kexin Shi, Yao Ding, Xiaohui Zhang, Chentao Jin, Jiayue Pan, Le Xue, Yi Liao, Xiawan Wang, Cheng Zhuo, Hong Zhang, Mei Tian, Brain metabolic characteristics distinguishing typical and atypical benign epilepsy with centro-temporal spikes,  European Radiology, 31: 9335-9345 (2021).[Link to paper]

9. Qinming Zhang#, Yi Liao#, Xiawan Wang#, Teng Zhang#, Jianhua Feng#, Jianing Deng, Kexin Shi, Lin Chen, Liu Feng, Mindi Ma, Le Xue, Haifeng Hou, Xiaofeng Dou, Congcong Yu, Lei Ren, Yao Ding, Yufei Chen, Shuang Wu, Zexin Chen, Hong Zhang, Cheng Zhuo, Mei Tian, A deep learning framework for 18F-FDG PET imaging diagnosis in pediatric patients with temporal lobe epilepsy. European Journal of Nuclear Medicine and Molecular Imaging, 48: 2476–2485 (2021).[Link to paper]

10. Yiping Jiao, Jie Yuan, Yong Qiang, Shumin Fei, Deep embeddings and logistic regression for rapid active learning in histopathological images, Computer Methods and Programs in Biomedicine, 2021, 212: 106464.[Link to paper]

11. Yiping Jiao, Junhong Li, Chenqi Qian, Shumin Fei, Deep learning-based tumor microenvironment analysis in colon adenocarcinoma histopathological whole-slide images, Computer Methods and Programs in Biomedicine, 2021: 106047.[Link to paper]

12. 顾松, 鲁浩达, 谢嘉伟, 陈骏, 樊祥山, 徐军, 计算病理及其对精准医学的贡献和价值, 中国人工智能学会通讯:智慧医疗专题, 11卷第9:29-35,2021.[Link to paper]

13. 顾松, 鲁浩达, 谢嘉伟, 陈骏, 樊祥山, 徐军, 计算病理及其对精准医学的价值,中华病理学杂志,50(8) : 851-855, 2021.[Link to paper]

15. 徐春燕,谢嘉伟,杨春霞,蒋燕妮,张智弘,徐军, 基于病理穿刺全切片组织形态学分析的乳腺癌新辅助化疗疗效预测, 四川大学学报(医学版), 52(2): 279-285, 2021.[Link to paper]


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