Jinke Wang
Orcid: 0000-0002-1755-4734Affiliations:
- Harbin Institute of Technology, School of Computer Science and Technology, China
According to our database1,
Jinke Wang
authored at least 34 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
CID-SIMS: Complex indoor dataset with semantic information and multi-sensor data from a ground wheeled robot viewpoint.
Int. J. Robotics Res., 2024
2023
Few-shot node classification on attributed networks based on deep metric learning for Cyber-Physical-Social Services.
Pattern Recognit. Lett., September, 2023
Towards an extended EfficientNet-based U-Net framework for joint optic disc and cup segmentation in the fundus image.
Biomed. Signal Process. Control., August, 2023
Segmentation of prostate ultrasound images: the state of the art and the future directions of segmentation algorithms.
Artif. Intell. Rev., 2023
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
2022
Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT.
J. Digit. Imaging, 2022
Biomed. Signal Process. Control., 2022
Proceedings of the IEEE Smartworld, 2022
Proceedings of the Big Data and Security - 4th International Conference, 2022
Proceedings of the Big Data and Security - 4th International Conference, 2022
2021
IEEE Trans. Ind. Informatics, 2021
Robust subspace clustering based on inter-cluster correlation reduction by low rank representation.
Signal Process. Image Commun., 2021
EAR-U-Net: EfficientNet and attention-based residual U-Net for automatic liver segmentation in CT.
CoRR, 2021
SAR-U-Net: squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver CT segmentation.
CoRR, 2021
SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography.
Comput. Methods Programs Biomed., 2021
2020
A comprehensive hierarchical classification based on multi-features of breast DCE-MRI for cancer diagnosis.
Medical Biol. Eng. Comput., 2020
Full Convolutional Neural Network with Multi-Scale Residual Model for Optic Cup and Disc Segmentation.
J. Medical Imaging Health Informatics, 2020
Privacy-preserving clustering for big data in cyber-physical-social systems: Survey and perspectives.
Inf. Sci., 2020
A random forest based computational model for predicting novel lncRNA-disease associations.
BMC Bioinform., 2020
2019
A Two-Stage High-Dimensional Feature Selection Method for Pulmonary Tumor Classification in CT.
J. Medical Imaging Health Informatics, 2019
2018
Vector Field Convolution-Based B-Spline Deformation Model for 3D Segmentation of Cartilage in MRI.
Symmetry, 2018
Int. J. Comput. Assist. Radiol. Surg., 2018
2017
Low-rank and sparse decomposition based shape model and probabilistic atlas for automatic pathological organ segmentation.
Medical Image Anal., 2017
Efficient Statistical Shape Models-Based Image Segmentation Approach Using Deformable Simplex Meshes.
Proceedings of the Image and Graphics - 9th International Conference, 2017
2016
Automatic Approach for Lung Segmentation with Juxta-Pleural Nodules from Thoracic CT Based on Contour Tracing and Correction.
Comput. Math. Methods Medicine, 2016
Shape-intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT images.
Int. J. Comput. Assist. Radiol. Surg., 2016
Automatic method for lung segmentation with juxta-pleural nodules from thoracic CT based on border separation and correction.
Proceedings of the 9th International Congress on Image and Signal Processing, 2016
2015
Surface-based rigid registration using a global optimization algorithm for assessment of MRI knee cartilage thickness changes.
Biomed. Signal Process. Control., 2015
Automatic Liver Segmentation Scheme Based on Shape-Intensity Prior Models Using Level Set.
Proceedings of the Image and Graphics - 8th International Conference, 2015
Sparse Representation-Based Deformation Model for Atlas-Based Segmentation of Liver CT Images.
Proceedings of the Image and Graphics - 8th International Conference, 2015
2014
J. Electronic Imaging, 2014
Greedy algorithm based deformable simplex meshes using gradient vector flow as external energy.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014