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 5 of their papers we have counts for

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cs.CV2024

Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models

Weiwei Cao, Jianpeng Zhang, Yingda Xia +7

Radiologists highly desire fully automated versatile AI for medical imaging interpretation. However, the lack of extensively annotated large-scale multi-disease datasets has hinder…

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…