Fei Shan

Orcid: 0000-0002-4792-3385

According to our database1, Fei Shan authored at least 27 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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
Periphery-aware COVID-19 diagnosis with contrastive representation enhancement.
Pattern Recognit., 2021

Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan.
Medical Image Anal., 2021

Hypergraph learning for identification of COVID-19 with CT imaging.
Medical Image Anal., 2021

DeepSDM: Boundary-aware pneumothorax segmentation in chest X-ray images.
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

CMC-COV19D: Contrastive Mixup Classification for COVID-19 Diagnosis.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Towards Unified Surgical Skill Assessment.
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

Hypergraph Learning for Identification of COVID-19 with 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

Lung Infection Quantification of COVID-19 in CT Images with Deep Learning.
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

Decidio: A Pilot Implementation and User Study of a Novel Decision-Support System.
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


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