Jinhua Liu

Orcid: 0000-0002-4347-1836

Affiliations:
  • Nanyang Technological University (NTU), Lee Kong Chian School of Medicine, Singapore
  • Shandong University, School of Software, Jinan, China


According to our database1, Jinhua Liu authored at least 10 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Mutual learning for joint disease detection and severity prediction reveals multimodal pathogenesis for neurodegenerative disorders.
Bioinform., 2026

2025
Developing a transparent reporting tool for AI-based diagnostic prediction models of disease and syndrome in Chinese medicine: a Delphi protocol.
Frontiers Digit. Health, 2025

EFFDNet: A Scribble-Supervised Medical Image Segmentation Method with Enhanced Foreground Feature Discrimination.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024
Semi-Supervised Medical Image Segmentation Using Cross-Style Consistency With Shape-Aware and Local Context Constraints.
IEEE Trans. Medical Imaging, April, 2024

2023
Collaborative Multi-Metadata Fusion to Improve the Classification of Lumbar Disc Herniation.
IEEE Trans. Medical Imaging, December, 2023

Interactive Segmentation for Pathological Images with Similarity-based Propagation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Grayscale self-adjusting network with weak feature enhancement for 3D lumbar anatomy segmentation.
Medical Image Anal., 2022

Semi-supervised Medical Image Segmentation Using Cross-Model Pseudo-Supervision with Shape Awareness and Local Context Constraints.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020
Att-MoE: Attention-based Mixture of Experts for nuclear and cytoplasmic segmentation.
Neurocomputing, 2020

Cervical cancer detection in cervical smear images using deep pyramid inference with refinement and spatial-aware booster.
IET Image Process., 2020


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