Li Fan

Orcid: 0000-0003-4722-3933

Affiliations:
  • Naval Medical University, Department of Radiology, Second Affiliated Hospital, Shanghai, China


According to our database1, Li Fan authored at least 12 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Nomogram based on quantitative lung CT features to identify cardiovascular disease in chronic obstructive pulmonary disease and predict prognosis.
BMC Medical Imaging, December, 2026

A self-supervised framework for emphysema anomaly detection and staging in computed tomography scans.
Patterns, 2026

2025
Skeleton2Mask: Skeleton-supervised airway segmentation.
Medical Image Anal., 2025

Vision-Language Sliding Cross Attention for Text-Guided Pneumonia Segmentation.
Proceedings of the Applications of Medical Artificial Intelligence, 2025

2024
CT-Based Intratumoral and Peritumoral Radiomics Nomograms for the Preoperative Prediction of Spread Through Air Spaces in Clinical Stage IA Non-small Cell Lung Cancer.
J. Imaging Inform. Medicine, 2024

Skeleton Supervised Airway Segmentation.
CoRR, 2024

Hierarchical Multiple Instance Learning for COPD Grading with Relatively Specific Similarity.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A hybrid model for the clinical manifestation severity assessment of COVID-19 based on Chest CT Images.
Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science, 2024

2023
GDDS: Pulmonary Bronchioles Segmentation with Group Deep Dense Supervision.
CoRR, 2023

2022
Automatic CT whole-lung segmentation in radiomics discrimination: Methodology and application in pneumonia diagnosis and distinguishment.
Displays, 2022

2019
Using multi-task learning to improve diagnostic performance of convolutional neural networks.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2016
Lung Lesion Extraction Using a Toboggan Based Growing Automatic Segmentation Approach.
IEEE Trans. Medical Imaging, 2016


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