Bin Song

Orcid: 0000-0002-7269-2101

Affiliations:
  • Sichuan University West China Hospital, Department of Radiology, Chengdu, China


According to our database1, Bin Song authored at least 12 papers between 2020 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
AASeg: Artery-Aware Global-to-Local Framework for Aneurysm Segmentation in Head and Neck CTA Images.
IEEE Trans. Medical Imaging, March, 2025

Interpretable 2.5D network by hierarchical attention and consistency learning for 3D MRI classification.
Pattern Recognit., 2025

2023
TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling.
IEEE Trans. Medical Imaging, November, 2023

2022
Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

TaG-Net: Topology-Aware Graph Network for Vessel Labeling.
Proceedings of the Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022

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

Computing infection distributions and longitudinal evolution patterns in lung CT images.
BMC Medical Imaging, 2021

Towards a Non-invasive Diagnosis of Portal Hypertension Based on an Eulerian CFD Model with Diffuse Boundary Conditions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multi-Task Learning for False-Positive Reduction and Segmentation of Cerebral Aneurysms in CTA Scans.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021

2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.
IEEE Trans. Medical Imaging, 2020

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT.
IEEE J. Biomed. Health Informatics, 2020


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