Jinke X. Wang

Jieyang, 264300, China

Last Updated: 09/26/2026

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Found 17 publications

CC-TransXNet: a hybrid CNN-transformer network for automatic segmentation of optic cup and optic disk from fundus images.

CC-TransXNet: a hybrid CNN-transformer network for automatic segmentation of optic cup and optic disk from fundus images.

Journal: Medical & biological engineering & computing

Published: July 03, 2024

Accuracy evaluation of dental CBCT and scanned model registration method based on pulp horn mapping surface: an in vitro proof-of-concept.

Accuracy evaluation of dental CBCT and scanned model registration method based on pulp horn mapping surface: an in vitro proof-of-concept.

Journal: BMC oral health

Published: November 01, 2023

A lightweight dual-path cascaded network for vessel segmentation in fundus image.

A lightweight dual-path cascaded network for vessel segmentation in fundus image.

Journal: Mathematical biosciences and engineering : MBE

Published: June 16, 2023

MIC-Net: multi-scale integrated context network for automatic retinal vessel segmentation in fundus image.

MIC-Net: multi-scale integrated context network for automatic retinal vessel segmentation in fundus image.

Journal: Mathematical biosciences and engineering : MBE

Published: May 10, 2023

Multi-scale attention and deep supervision-based 3D UNet for automatic liver segmentation from CT.

Multi-scale attention and deep supervision-based 3D UNet for automatic liver segmentation from CT.

Journal: Mathematical biosciences and engineering : MBE

Published: January 18, 2023

Deep supervision and atrous inception-based U-Net combining CRF for automatic liver segmentation from CT.

Deep supervision and atrous inception-based U-Net combining CRF for automatic liver segmentation from CT.

Journal: Scientific reports

Published: June 27, 2022

Pathogenic spectrum and laboratory indicators of fungal infections in the central nervous system

Pathogenic spectrum and laboratory indicators of fungal infections in the central nervous system

Journal: Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]

Published: April 05, 2022

An improved residual U-Net with morphological-based loss function for automatic liver segmentation in computed tomography.

An improved residual U-Net with morphological-based loss function for automatic liver segmentation in computed tomography.

Journal: Mathematical biosciences and engineering : MBE

Published: February 09, 2022

Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT.

Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT.

Journal: Journal of digital imaging

Published: November 04, 2021

SERR-U-Net: Squeeze-and-Excitation Residual and Recurrent Block-Based U-Net for Automatic Vessel Segmentation in Retinal Image.

SERR-U-Net: Squeeze-and-Excitation Residual and Recurrent Block-Based U-Net for Automatic Vessel Segmentation in Retinal Image.

Journal: Computational and mathematical methods in medicine

Published: May 02, 2021

SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography.

SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography.

Journal: Computer methods and programs in biomedicine

Published: March 09, 2021

A random forest based computational model for predicting novel lncRNA-disease associations.

A random forest based computational model for predicting novel lncRNA-disease associations.

Journal: BMC bioinformatics

Published: December 19, 2019

Showing 1-12 of 17

Last Updated: 09/26/2026