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20232025
most citedDevil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization

2 citations · 5 across the 8 of their papers we have counts for

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cs.CV2025★ 1 cited

Non-Contrast CT Esophageal Varices Grading through Clinical Prior-Enhanced Multi-Organ Analysis

Xiaoming Zhang, Chunli Li, Jiacheng Hao +9

Esophageal varices (EV) represent a critical complication of portal hypertension, affecting approximately 60% of cirrhosis patients with a significant bleeding risk of ~30%. While…

cs.CV2024

LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning

Wei Huang, Wei Liu, Xiaoming Zhang +9

The early detection and precise diagnosis of liver tumors are tasks of critical clinical value, yet they pose significant challenges due to the high heterogeneity and variability o…

cs.CV2024

Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration

Tony C. W. Mok, Zi Li, Yunhao Bai +9

Establishing dense anatomical correspondence across distinct imaging modalities is a foundational yet challenging procedure for numerous medical image analysis studies and image-gu…

cs.CV2023

SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation

Fan Bai, Ke Yan, Xiaoyu Bai +6

Medical image analysis using deep learning is often challenged by limited labeled data and high annotation costs. Fine-tuning the entire network in label-limited scenarios can lead…

cs.CV2023★ 2 cited

Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization

Mingze Yuan, Yingda Xia, Hexin Dong +13

Real-world medical image segmentation has tremendous long-tailed complexity of objects, among which tail conditions correlate with relatively rare diseases and are clinically signi…