Best view selection of 3D models based on unsupervised feature learning and discrimination ability. - Chenxi Li; Zhengxing Sun; Mofei Song; Yejia Zhang (VINCI, 2013)

A new registration approach for dynamic analysis of calcium signals in organs. - Peixian Liang; Jianxu Chen 001; Pavel A. Brodskiy; Qinfeng Wu; Yejia Zhang; Yizhe Zhang 001; Lin Yang 003; Jeremiah J. Zartman; Danny Z. Chen (ISBI, 2018)

Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation. - Yejia Zhang; Xinrong Hu; Nishchal Sapkota; Yiyu Shi 001; Danny Z. Chen (BIBM, 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 006; Danny Z. Chen (BIBM, 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 (ISBI, 2022)

ConvFormer: Combining CNN and Transformer for Medical Image Segmentation. - Pengfei Gu; Yejia Zhang; Chaoli Wang 001; Danny Z. Chen (ISBI, 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 006; Peixian Liang; Danny Z. Chen (ISBI, 2023)

GrNT: Gate-Regularized Network Training for Improving Multi-Scale Fusion in Medical Image Segmentation. - Yizhe Zhang 001; Pengfei Gu; Yejia Zhang; Chaoli Wang 001; Danny Z. Chen (ISBI, 2023)

SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings. - Yejia Zhang; Pengfei Gu; Nishchal Sapkota; Danny Z. Chen (MICCAI (5), 2023)

RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification. - Yizhe Zhang 001; Shuo Wang 011; Yejia Zhang; Danny Z. Chen (UNSURE@MICCAI, 2023)

Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model. - Yizhe Zhang 001; Tao Zhou 002; Shuo Wang 011; Peixian Liang; Yejia Zhang; Danny Z. Chen (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

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 (ISBI, 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 (ISBI, 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 001; Ke Yan 006; Dakai Jin; Yun Bian; et al. (MICCAI (4), 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 001; Chaoli Wang 001; Danny Z. Chen (CoRR, 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; et al. (CoRR, 2024)

TopoImages: Incorporating Local Topology Encoding into Deep Learning Models for Medical Image Classification. - Pengfei Gu; Hongxiao Wang; Yejia Zhang; Huimin Li; Chaoli Wang 001; Danny Chen 001 (CoRR, 2025)