Yun Bian

According to our database1, Yun Bian authored at least 11 papers between 2020 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Automated pancreatic segmentation and fat fraction evaluation based on a self-supervised transfer learning network.
Comput. Biol. Medicine, March, 2024

2023
MLAGG-Net: Multi-level aggregation and global guidance network for pancreatic lesion segmentation in histopathological images.
Biomed. Signal Process. Control., September, 2023

A dual branch and fine-grained enhancement network for pancreatic tumor segmentation in contrast enhanced CT images.
Biomed. Signal Process. Control., April, 2023

A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging.
CoRR, 2023

Contrast Uncertainty Domain Alignment for Cross-Domain Pancreatic Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Automatic multi-tissue segmentation in pancreatic pathological images with selected multi-scale attention network.
Comput. Biol. Medicine, 2022

2021
MRI-based radiomics approach for differentiation of hypovascular non-functional pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms of the pancreas.
BMC Medical Imaging, 2021

Gland segmentation in pancreas histopathology images based on selective multi-scale attention.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Automatic pancreas segmentation in abdominal CT image with contrast enhancement block.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2020
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

DLU-Net for Pancreatic Cancer Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020


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