Wenbin Lei

Orcid: 0000-0002-9720-1997

According to our database1, Wenbin Lei authored at least 12 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
LoCo: Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation.
CoRR, 2024

SAM-Swin: SAM-Driven Dual-Swin Transformers with Adaptive Lesion Enhancement for Laryngo-Pharyngeal Tumor Detection.
CoRR, 2024

SAM-FNet: SAM-Guided Fusion Network for Laryngo-Pharyngeal Tumor Detection.
CoRR, 2024

A bimodal feature fusion convolutional neural network for detecting obstructive sleep apnea/hypopnea from nasal airflow and oximetry signals.
Artif. Intell. Medicine, 2024

3D-LSPTM: An Automatic Framework with 3D-Large-Scale Pretrained Model for Laryngeal Cancer Detection Using Laryngoscopic Videos.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Rethinking Radiology Report Generation via Causal Inspired Counterfactual Augmentation.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023
RAFNet: Restricted attention fusion network for sleep apnea detection.
Neural Networks, May, 2023

Rethinking Radiology Report Generation via Causal Reasoning and Counterfactual Augmentation.
CoRR, 2023

A Dual-Scale Convolutional Neural Network for Sleep Apnea Detection with Time-Delayed SpO2 Signals.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2021
A novel approach to diagnose sleep apnea using enhanced frequency extraction network.
Comput. Methods Programs Biomed., 2021

EEG-based Major Depressive Disorder Detection Using Data Mining Techniques.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Mr-ResNeXt: A Multi-resolution Network Architecture for Detection of Obstructive Sleep Apnea.
Proceedings of the Neural Computing for Advanced Applications, 2020


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