Fei Shan
Orcid: 0000-0001-7519-2172
According to our database1,
Fei Shan
authored at least 28 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
X-Recon: Learning-based Patient-specific High-Resolution CT Reconstruction from Orthogonal X-Ray Images.
CoRR, 2024
2023
Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning.
Comput. Biol. Medicine, June, 2023
Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity.
IEEE Trans. Medical Imaging, February, 2023
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, 2023
2022
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., 2022
A 0.5mΩ/√Hz 106dB SNR 0.45cm2 Dry-Electrode Bioimpedance Interface with Current Mismatch Cancellation and Boosted Input Impedance of 100MΩ at 50kHz.
Proceedings of the IEEE International Solid-State Circuits Conference, 2022
2021
Pattern Recognit., 2021
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan.
Medical Image Anal., 2021
Medical Image Anal., 2021
Neurocomputing, 2021
Computing infection distributions and longitudinal evolution patterns in lung CT images.
BMC Medical Imaging, 2021
Improved High-Performance Solution Processed In₂O₃ Thin Film Transistor Fabricated by Femtosecond Laser Pre-Annealing Process.
IEEE Access, 2021
Exploiting Deep Cross-Slice Features From CT Images For Multi-Class Pneumonia Classification.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.
IEEE Trans. Medical Imaging, 2020
M$^3$Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging.
IEEE J. Biomed. Health Informatics, 2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT.
IEEE J. Biomed. Health Informatics, 2020
M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging.
CoRR, 2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT.
CoRR, 2020
Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification.
CoRR, 2020
CoRR, 2020
Clearness of operating field: a surrogate for surgical skills on in vivo clinical data.
Int. J. Comput. Assist. Radiol. Surg., 2020
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Group Decision and Negotiation: A Multidisciplinary Perspective, 2020
2019
Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2017
CT characteristics of non-small cell lung cancer with epidermal growth factor receptor mutation: a systematic review and meta-analysis.
BMC Medical Imaging, 2017