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Akademický článek

A nomogram model combining computed tomography-based radiomics and Krebs von den Lungen-6 for identifying low-risk rheumatoid arthritis-associated interstitial lung disease

Autor: Nie Han, Zhinan Guo, Diru Zhu, Yu Zhang, Yayi Qin, Guanheng Li, Xiaoli Gu, Lin Jin

Publikováno v: Frontiers in Immunology, Vol 15 (2024)

ObjectivesQuantitatively assess the severity and predict the mortality of interstitial lung disease (ILD) associated with Rheumatoid arthritis (RA) was a challenge for clinicians. This study aimed to construct a radiomics nomogram based on chest comp

Externí odkaz: https://doaj.org/article/5cfc5bcd87604f2794cf8428e9290727

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REMM:Rotation-Equivariant Framework for End-to-End Multimodal Image Matching

Autor: Nie, Han, Luo, Bin, Liu, Jun, Fu, Zhitao, Liu, Weixing, Su, Xin

We present REMM, a rotation-equivariant framework for end-to-end multimodal image matching, which fully encodes rotational differences of descriptors in the whole matching pipeline. Previous learning-based methods mainly focus on extracting modal-inv

Externí odkaz: http://arxiv.org/abs/2407.11637

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Source-free Domain Adaptive Object Detection in Remote Sensing Images

Autor: Liu, Weixing, Liu, Jun, Su, Xin, Nie, Han, Luo, Bin

Recent studies have used unsupervised domain adaptive object detection (UDAOD) methods to bridge the domain gap in remote sensing (RS) images. However, UDAOD methods typically assume that the source domain data can be accessed during the domain adapt

Externí odkaz: http://arxiv.org/abs/2401.17916

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