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Fei Shan
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2020 – today
- 2024
- [i11]Yunpeng Wang, Kang Wang, Yaoyao Zhuo, Weiya Shi, Fei Shan, Lei Liu:
X-Recon: Learning-based Patient-specific High-Resolution CT Reconstruction from Orthogonal X-Ray Images. CoRR abs/2407.15356 (2024) - 2023
- [j15]Xin Wang, Jun Wang, Fei Shan, Yiqiang Zhan, Jun Shi, Dinggang Shen:
Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning. Comput. Biol. Medicine 159: 106890 (2023) - [j14]Qinjing Pan, Tianxiang Qu, Biao Tang, Fei Shan, Zhiliang Hong, Jiawei Xu:
A 0.5-mΩ/√Hz Dry-Electrode Bioimpedance Interface With Current Mismatch Cancellation and Input Impedance of 100 MΩ at 50 kHz. IEEE J. Solid State Circuits 58(6): 1735-1745 (2023) - [j13]Yanbei Liu, Henan Li, Tao Luo, Changqing Zhang, Zhitao Xiao, Ying Wei, Yaozong Gao, Feng Shi, Fei Shan, Dinggang Shen:
Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity. IEEE Trans. Medical Imaging 42(2): 557-567 (2023) - 2022
- [j12]Jiaoyang Li, Lingxiao Zhou, Yi Zhan, Haifeng Xu, Cheng Zhang, Fei Shan, Lei Liu:
How does the artificial intelligence-based image-assisted technique help physicians in diagnosis of pulmonary adenocarcinoma? A randomized controlled experiment of multicenter physicians in China. J. Am. Medical Informatics Assoc. 29(12): 2041-2049 (2022) - [c7]Qinjing Pan, Tianxiang Qu, Biao Tang, Fei Shan, Zhiliang Hong, Jiawei Xu:
A 0.5mΩ/√Hz 106dB SNR 0.45cm2 Dry-Electrode Bioimpedance Interface with Current Mismatch Cancellation and Boosted Input Impedance of 100MΩ at 50kHz. ISSCC 2022: 332-334 - 2021
- [j11]Fei Shan, Hao-Zhou Sun, Jaeyun Lee, Seungmoon Pyo, Sung-Jin Kim:
Improved High-Performance Solution Processed In₂O₃ Thin Film Transistor Fabricated by Femtosecond Laser Pre-Annealing Process. IEEE Access 9: 44453-44462 (2021) - [j10]Dongdong Gu, Liyun Chen, Fei Shan, Liming Xia, Jun Liu, Zhanhao Mo, Fuhua Yan, Bin Song, Yaozong Gao, Xiaohuan Cao, Yanbo Chen, Ying Shao, Miaofei Han, Bin Wang, Guocai Liu, Qian Wang, Feng Shi, Dinggang Shen, Zhong Xue:
Computing infection distributions and longitudinal evolution patterns in lung CT images. BMC Medical Imaging 21(1): 57 (2021) - [j9]Yunpeng Wang, Kang Wang, Xueqing Peng, Lili Shi, Jing Sun, Shibao Zheng, Fei Shan, Weiya Shi, Lei Liu:
DeepSDM: Boundary-aware pneumothorax segmentation in chest X-ray images. Neurocomputing 454: 201-211 (2021) - [j8]Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen:
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan. Medical Image Anal. 67: 101824 (2021) - [j7]Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Bin Song, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen:
Hypergraph learning for identification of COVID-19 with CT imaging. Medical Image Anal. 68: 101910 (2021) - [j6]Junlin Hou, Jilan Xu, Longquan Jiang, Shanshan Du, Rui Feng, Yuejie Zhang, Fei Shan, Xiangyang Xue:
Periphery-aware COVID-19 diagnosis with contrastive representation enhancement. Pattern Recognit. 118: 108005 (2021) - [c6]Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li:
Towards Unified Surgical Skill Assessment. CVPR 2021: 9522-9531 - [c5]Junlin Hou, Jilan Xu, Rui Feng, Yuejie Zhang, Fei Shan, Weiya Shi:
CMC-COV19D: Contrastive Mixup Classification for COVID-19 Diagnosis. ICCVW 2021: 454-461 - [c4]Jiawang Cao, Lulu Jiang, Junlin Hou, Longquan Jiang, Rui-Wei Zhao, Weiya Shi, Fei Shan, Rui Feng:
Exploiting Deep Cross-Slice Features From CT Images For Multi-Class Pneumonia Classification. ICIP 2021: 205-209 - [i10]Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li:
Towards Unified Surgical Skill Assessment. CoRR abs/2106.01035 (2021) - 2020
- [j5]Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li:
Clearness of operating field: a surrogate for surgical skills on in vivo clinical data. Int. J. Comput. Assist. Radiol. Surg. 15(11): 1817-1824 (2020) - [j4]Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Bin Song, Wanchun Gao, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, He Sui, Daoqiang Zhang, Dinggang Shen:
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. IEEE J. Biomed. Health Informatics 24(10): 2798-2805 (2020) - [j3]Xuelin Qian, Huazhu Fu, Weiya Shi, Tao Chen, Yanwei Fu, Fei Shan, Xiangyang Xue:
M$^3$Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging. IEEE J. Biomed. Health Informatics 24(12): 3539-3550 (2020) - [j2]Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen:
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia. IEEE Trans. Medical Imaging 39(8): 2595-2605 (2020) - [c3]Kevin Hogan, Fei Shan, Monikka Ravichandran, Aadesh Bagmar, James Wang, Adam Sarsony, James Purtilo:
Decidio: A Pilot Implementation and User Study of a Novel Decision-Support System. GDN 2020: 192-204 - [c2]Daochang Liu, Yuhui Wei, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li:
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion. MICCAI (3) 2020: 657-667 - [i9]Fei Shan, Yaozong Gao, Jun Wang, Weiya Shi, Nannan Shi, Miaofei Han, Zhong Xue, Dinggang Shen, Yuxin Shi:
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning. CoRR abs/2003.04655 (2020) - [i8]Feng Shi, Liming Xia, Fei Shan, Dijia Wu, Ying Wei, Huan Yuan, Huiting Jiang, Yaozong Gao, He Sui, Dinggang Shen:
Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification. CoRR abs/2003.09860 (2020) - [i7]Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen:
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia. CoRR abs/2005.02690 (2020) - [i6]Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen:
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. CoRR abs/2005.03264 (2020) - [i5]Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen:
Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan. CoRR abs/2005.03405 (2020) - [i4]Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen:
Hypergraph Learning for Identification of COVID-19 with CT Imaging. CoRR abs/2005.04043 (2020) - [i3]Daochang Liu, Yuhui Wei, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li:
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion. CoRR abs/2008.11946 (2020) - [i2]Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li:
Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field. CoRR abs/2008.11954 (2020) - [i1]Xuelin Qian, Huazhu Fu, Weiya Shi, Tao Chen, Yanwei Fu, Fei Shan, Xiangyang Xue:
M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging. CoRR abs/2010.03201 (2020)
2010 – 2019
- 2019
- [c1]Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li:
Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field. MICCAI (5) 2019: 476-484 - 2017
- [j1]Zenghui Cheng, Fei Shan, Yuesong Yang, Yuxin Shi, Zhiyong Zhang:
CT characteristics of non-small cell lung cancer with epidermal growth factor receptor mutation: a systematic review and meta-analysis. BMC Medical Imaging 17(1): 5:1-5:10 (2017)
Coauthor Index
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