Meng Yang

Orcid: 0009-0001-3172-3282

Affiliations:
  • Hunan Frontline Medical Technology Company Ltd., Changsha, China


According to our database1, Meng Yang authored at least 12 papers between 2021 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Variable-frame CNNLSTM for Breast Nodule Classification using Ultrasound Videos.
CoRR, February, 2025

Asymmetric co-training with explainable cell graph ensembling for histopathological image classification.
Knowl. Based Syst., 2025

2024
Ultrasound Nodule Segmentation Using Asymmetric Learning With Simple Clinical Annotation.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

Semi-Supervised Thyroid Nodule Detection in Ultrasound Videos.
IEEE Trans. Medical Imaging, May, 2024

Sam-Driven Weakly Supervised Nodule Segmentation with Uncertainty-Aware Cross Teaching.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Toward Source-Free Cross Tissues Histopathological Cell Segmentation via Target-Specific Finetuning.
IEEE Trans. Medical Imaging, September, 2023

Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification.
CoRR, 2023

Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Key-frame Guided Network for Thyroid Nodule Recognition Using Ultrasound Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
DEAttack: A differential evolution based attack method for the robustness evaluation of medical image segmentation.
Neurocomputing, 2021

Graph Neural Networks for the Cross-Domain Histopathological Image Classification.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Unsupervised Domain Adaptation for the Histopathological Cell Segmentation through Self-Ensembling.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021


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