Ping Li

Orcid: 0009-0008-0991-4059

Affiliations:
  • Shanghai Broadband Network Center, S-BNC, Data and Virtual Research Room, National Engineering Research Center for Broadband Networks & Applications, China


According to our database1, Ping Li authored at least 13 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Systematic Collection of Medical Image Datasets for Deep Learning.
ACM Comput. Surv., May, 2024

2022
Analysis and Variants of Broad Learning System.
IEEE Trans. Syst. Man Cybern. Syst., 2022

MEDAS: an open-source platform as a service to help break the walls between medicine and informatics.
Neural Comput. Appl., 2022

2021
Multi-Modal Co-Learning for Liver Lesion Segmentation on PET-CT Images.
IEEE Trans. Medical Imaging, 2021

U-net based analysis of MRI for Alzheimer's disease diagnosis.
Neural Comput. Appl., 2021

An Effective Multimodal Image Fusion Method Using MRI and PET for Alzheimer's Disease Diagnosis.
Frontiers Digit. Health, 2021

Knee Cartilages Segmentation Based on Multi-scale Cascaded Neural Networks.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020
Block Level Skip Connections Across Cascaded V-Net for Multi-Organ Segmentation.
IEEE Trans. Medical Imaging, 2020

Color vision deficiency datasets & recoloring evaluation using GANs.
Multim. Tools Appl., 2020

A Dataset of Pulmonary Lesions With Multiple-Level Attributes and Fine Contours.
Frontiers Digit. Health, 2020

MeDaS: An open-source platform as service to help break the walls between medicine and informatics.
CoRR, 2020

Structure-Feature based Graph Self-adaptive Pooling.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019
Recoloring Image For Color Vision Deficiency By GANS.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019


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