Ge Jin

Orcid: 0000-0002-9427-4023

Affiliations:
  • Jiangsu Open University, School of Communication and Information Engineering, China
  • Shanghai University, School of Communication and Information Engineering, China
  • Nanjing University of Science and Technology, China (2017-2023)


According to our database1, Ge Jin authored at least 12 papers between 2021 and 2026.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2026
Enhancing feature discrimination with pseudo-labels for foundation model in segmentation of 3D medical images.
Neural Networks, 2026

2025
Topological GCN Guided Improved Conformer for Detection of Hip Landmarks From Ultrasound Images.
IEEE J. Biomed. Health Informatics, September, 2025

HGMSurvNet: A two-stage hypergraph learning network for multimodal cancer survival prediction.
Medical Image Anal., 2025

Multi-resolution based dual-channel UNet with cross clique for medical image dense prediction.
Expert Syst. Appl., 2025

2024
BPT-PLR: A Balanced Partitioning and Training Framework with Pseudo-Label Relaxed Contrastive Loss for Noisy Label Learning.
Entropy, July, 2024

Cross-to-merge training with class balance strategy for learning with noisy labels.
Expert Syst. Appl., 2024

B-mode ultrasound-based CAD by learning using privileged information with dual-level missing modality completion.
Comput. Biol. Medicine, 2024

Dual-domain MIM based contrastive learning for CAD of developmental dysplasia of the hip with ultrasound images.
Biomed. Signal Process. Control., 2024

Optimal Design of One-Sided Exponential Adaptive EWMA Scheme Based on Median Run Length.
Algorithms, 2024

Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2022
An efficient deep neural network framework for COVID-19 lung infection segmentation.
Inf. Sci., 2022

2021
Adversarial network integrating dual attention and sparse representation for semi-supervised semantic segmentation.
Inf. Process. Manag., 2021


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