Yejia Zhang

According to our database, Yejia Zhang authored at least 21 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Cell Instance Segmentation: The Devil Is in the Boundaries.

Peixian Liang, Yifan Ding, Yizhe Zhang, Jianxu Chen, Hao Zheng, Hongxiao Wang, Yejia Zhang, Guangyu Meng, Tim Weninger, Michael T. Niemier, X. Sharon Hu, Danny Z. Chen

IEEE Trans. Medical Imaging, April, 2026

When Swin Transformer Meets KANs: An Improved Transformer Architecture for Medical Image Segmentation.

Nishchal Sapkota, Haoyan Shi, Yejia Zhang, Xianshi Ma, Bofang Zheng, Fabian Vazquez, Pengfei Gu, Danny Z. Chen

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

When Swin Transformer Meets KANs: An Improved Transformer Architecture for Medical Image Segmentation.

Nishchal Sapkota, Haoyan Shi, Yejia Zhang, Xianshi Ma, Bofang Zheng, Danny Z. Chen

CoRR, November, 2025

TopoImages: Incorporating Local Topology Encoding into Deep Learning Models for Medical Image Classification.

Pengfei Gu, Hongxiao Wang, Yejia Zhang, Huimin Li, Chaoli Wang, Danny Chen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Self Pre-Training with Topology- and Spatiality-Aware Masked Autoencoders for 3D Medical Image Segmentation.

Pengfei Gu, Huimin Li, Yejia Zhang, Chaoli Wang, Danny Z. Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

UniCoN: Universal Conditional Networks for Multi-Age Embryonic Cartilage Segmentation with Sparsely Annotated Data.

Nishchal Sapkota, Yejia Zhang, Zihao Zhao, Maria Gomez, Yuhan Hsi, Jordan A. Wilson, Kazuhiko Kawasaki, Greg Holmes, Meng Wu, Ethylin W. Jabs, Joan T. Richtsmeier, Susan M. Motch Perrine, Danny Z. Chen

CoRR, 2024

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

Pengfei Gu, Yejia Zhang, Huimin Li, Hongxiao Wang, Yizhe Zhang, Chaoli Wang, Danny Z. Chen

CoRR, 2024

IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images.

Yejia Zhang, Hanqing Chao, Zhongwei Qiu, Wenbin Liu, Yixuan Shen, Nishchal Sapkota, Pengfei Gu, Danny Z. Chen, Le Lu, Ke Yan, Dakai Jin, Yun Bian, Hui Jiang

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.

Nishchal Sapkota, Yejia Zhang, Susan M. Motch Perrine, Yuhan Hsi, Sirui Li, Meng Wu, Greg Holmes, Abdul R. Abdulai, Ethylin W. Jabs, Joan T. Richtsmeier, Danny Z. Chen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Shmc-Net: A Mask-Guided Feature Fusion Network for Sperm Head Morphology Classification.

Nishchal Sapkota, Yejia Zhang, Sirui Li, Peixian Liang, Zhuo Zhao, Jingjing Zhang, Xiaomin Zha, Yiru Zhou, Yunxia Cao, Danny Z. Chen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model.

Yizhe Zhang, Tao Zhou, Shuo Wang, Peixian Liang, Yejia Zhang, Danny Z. Chen

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.

Yizhe Zhang, Shuo Wang, Yejia Zhang, Danny Z. Chen

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.

Yejia Zhang, Pengfei Gu, Nishchal Sapkota, Danny Z. Chen

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.

Yizhe Zhang, Pengfei Gu, Yejia Zhang, Chaoli Wang, Danny Z. Chen

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.

Yejia Zhang, Pengfei Gu, Nishchal Sapkota, Hao Zheng, Peixian Liang, Danny Z. Chen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

ConvFormer: Combining CNN and Transformer for Medical Image Segmentation.

Pengfei Gu, Yejia Zhang, Chaoli Wang, Danny Z. Chen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Improving Human Sperm Head Morphology Classification With Unsupervised Anatomical Feature Distillation.

Yejia Zhang, Jingjing Zhang, Xiaomin Zha, Yiru Zhou, Yunxia Cao, Danny Z. Chen

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.

Yejia Zhang, Nishchal Sapkota, Pengfei Gu, Yaopeng Peng, Hao Zheng, Danny Z. Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation.

Yejia Zhang, Xinrong Hu, Nishchal Sapkota, Yiyu Shi, Danny Z. Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2018

A new registration approach for dynamic analysis of calcium signals in organs.

Peixian Liang, Jianxu Chen, Pavel A. Brodskiy, Qinfeng Wu, Yejia Zhang, Yizhe Zhang, Lin Yang, Jeremiah J. Zartman, Danny Z. Chen

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.

Chenxi Li, Zhengxing Sun, Mofei Song, Yejia Zhang

Proceedings of the 6th International Symposium on Visual Information Communication and Interaction (VINCI), 2013