Yejia Zhang

According to our database1, Yejia Zhang authored at least 15 papers between 2013 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation.
CoRR, 2024

IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Conunetr: A Conditional Transformer Network for 3D Micro-Ct Embryonic Cartilage Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Shmc-Net: A Mask-Guided Feature Fusion Network for Sperm Head Morphology Classification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

GrNT: Gate-Regularized Network Training for Improving Multi-Scale Fusion in Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

A Point in the Right Direction: Vector Prediction for Spatially-Aware Self-Supervised Volumetric Representation Learning.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

ConvFormer: Combining CNN and Transformer for Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Improving Human Sperm Head Morphology Classification With Unsupervised Anatomical Feature Distillation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2018
A new registration approach for dynamic analysis of calcium signals in organs.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2013
Best view selection of 3D models based on unsupervised feature learning and discrimination ability.
Proceedings of the 6th International Symposium on Visual Information Communication and Interaction (VINCI), 2013


  Loading...