Lei Wang

Orcid: 0000-0003-3597-6989

Affiliations:
  • Wenzhou Medical University, Eye Hospital, School of Ophthalmology and Optometry, China
  • Southeast University, MoE Key Laboratory of Computer Network and Information Integration, Nanjing, China


According to our database1, Lei Wang authored at least 22 papers between 2017 and 2023.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Automated segmentation of optic disc and cup depicted on color fundus images using a distance-guided deep learning strategy.
Biomed. Signal Process. Control., September, 2023

Automated segmentation of palpebral fissures from eye videography using a texture fusion neural network.
Biomed. Signal Process. Control., August, 2023

2022
A texture-aware U-Net for identifying incomplete blinking from eye videography.
Biomed. Signal Process. Control., 2022

EE-Net: An edge-enhanced deep learning network for jointly identifying corneal micro-layers from optical coherence tomography.
Biomed. Signal Process. Control., 2022

A recurrent skip deep learning network for accurate image segmentation.
Biomed. Signal Process. Control., 2022

2021
Automated delineation of corneal layers on OCT images using a boundary-guided CNN.
Pattern Recognit., 2021

Automated segmentation of the optic disc from fundus images using an asymmetric deep learning network.
Pattern Recognit., 2021

Feasibility assessment of infectious keratitis depicted on slit-lamp and smartphone photographs using deep learning.
Int. J. Medical Informatics, 2021

2020
Level set based segmentation using local fitted images and inhomogeneity entropy.
Signal Process., 2020

BG-CNN: A Boundary Guided Convolutional Neural Network for Corneal Layer Segmentation from Optical Coherence Tomography.
Proceedings of the ICBIP 2020: 5th International Conference on Biomedical Signal and Image Processing, 2020

Nonrigid Registration of Multimodal Images Using Local Structural Descriptors.
Proceedings of the ICBIP 2020: 5th International Conference on Biomedical Signal and Image Processing, 2020

2019
Computerized identification of the vasculature surrounding a pulmonary nodule.
Comput. Medical Imaging Graph., 2019

SDFN: Segmentation-based deep fusion network for thoracic disease classification in chest X-ray images.
Comput. Medical Imaging Graph., 2019

A coarse-to-fine deep learning framework for optic disc segmentation in fundus images.
Biomed. Signal Process. Control., 2019

Automated segmentation of the optic disc using the deep learning.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Computerized assessment of glaucoma severity based on color fundus images.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

Automatic Classification of Exudates in Color Fundus Images Using an Augmented Deep Learning Procedure.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

2018
Active contours driven by edge entropy fitting energy for image segmentation.
Signal Process., 2018

Simultaneous segmentation and bias field estimation using local fitted images.
Pattern Recognit., 2018

Performance assessment of the deep learning technologies in grading glaucoma severity.
CoRR, 2018

SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images.
CoRR, 2018

2017
An active contour model based on local fitted images for image segmentation.
Inf. Sci., 2017


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