Wenjie Cai — accepted AI-conference papers

2025

Exploring the Distribution of Cell Subpopulations in Pancreatic Ductal Adenocarcinoma Slides by Joint Spatial Transcriptomics and Pathology Data

Yaqi Deng, Wenjie Cai, Bentao Song, Bin Yang, Lingming Kong, Qingfeng Wang +1

ICASSP 2025accepted

Current spatial transcriptomics (ST) technology can integrate stained pathological slides with RNA sequencing, providing precise information on gene expression and cell types. However, the unique handling of pathological slides required by ST technology can lead to image quality issues, impacting mo…

Cited by 0 Source ↗Scholar ↗

2025

LABEL-SAM: A Semi-Automatic Interactive Annotation Model for Aortic Dissection Segmentation in 3D CTA Image

Wenjie Cai, Tao Tang, Balachander J., Lingming Kong, Ying Zhou, Qingfeng Wang +1

ICASSP 2025accepted

Aortic Dissection (AD) is a life-threatening disease that can be rapidly screened by using deep learning methods. However, deep learning model training requires a large amount of manual annotation of data. To improve the annotation efficiency and accuracy, we propose LABEL-SAM, a semi-automatic inte…

Cited by 2 Source ↗Scholar ↗

2024

D3still: Decoupled Differential Distillation for Asymmetric Image Retrieval

Yi Xie, Yihong Lin, Wenjie Cai, Xuemiao Xu, Huaidong Zhang, Yong Du +1

CVPR 2024poster

Existing methods for asymmetric image retrieval employ a rigid pairwise similarity constraint between the query network and the larger gallery network. However these one-to-one constraint approaches often fail to maintain retrieval order consistency especially when the query network has limited repr…

Cited by 14 Source ↗PDF ↗code ↗Scholar ↗