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20212026
most citedHunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge

26 citations · 53 across the 28 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 2 cited

PnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary Confusion

Xin You, Ming Ding, Minghui Zhang +4

Precise boundary segmentation of volumetric images is a critical task for image-guided diagnosis and computer-assisted intervention, especially for boundary confusion in clinical p…

cs.CV2023★ 14 cited

The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography

Kaiyuan Yang, Fabio Musio, Yihui Ma +112

The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to influence the risk, severity, an…

eess.IV2023★ 26 cited

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge

Yang Nan, Xiaodan Xing, Shiyi Wang +38

Airway-related quantitative imaging biomarkers are crucial for examination, diagnosis, and prognosis in pulmonary diseases. However, the manual delineation of airway trees remains…

eess.IV2023

Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning

Puyang Wang, Dazhou Guo, Dandan Zheng +8

Intrathoracic airway segmentation in computed tomography (CT) is a prerequisite for various respiratory disease analyses such as chronic obstructive pulmonary disease (COPD), asthm…

eess.IV2023★ 2 cited

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation

Minghui Zhang, Yangqian Wu, Hanxiao Zhang +33

Open international challenges are becoming the de facto standard for assessing computer vision and image analysis algorithms. In recent years, new methods have extended the reach o…