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Insights Into Imaging|March 13, 2025
RadLex and SNOMED CT integration: a pilot study for standardising radiology classificationMerit Marquis, Igor Bossenko, Peeter Ross
Insights Into Imaging|December 2, 2024
A multi-scene deep learning model for automated segmentation of acute vertebral compression fractures from radiographs: a multicenter cohort studyHao Zhang, Genji Yuan, Ziyue Zhang, et al.
Insights Into Imaging|December 12, 2024
CT imaging findings of invasive pulmonary fungal infections in hemato-oncologic childrenLeonor Alamo, Francesco Ceppi, Estelle Tenisch, et al.
Insights Into Imaging|December 12, 2024
The top 100 most-cited articles on artificial intelligence in breast radiology: a bibliometric analysisSneha Singh, Nuala A Healy
Insights Into Imaging|December 12, 2024
Preoperative detection of extraprostatic tumor extension in patients with primary prostate cancer utilizing [68Ga]Ga-PSMA-11 PET/MRIClemens P Spielvogel, Jing Ning, Kilian Kluge, et al.
Insights Into Imaging|December 12, 2024
Pediatric menisci: normal aspects, anatomical variants, lesions, tears, and postsurgical findingsFlávia Ferreira Araújo, Júlio Brandão Guimarães, Isabela Azevedo Nicodemos da Cruz, et al.
Insights Into Imaging|November 15, 2024
Predicting life-threatening hemoptysis in traumatic pulmonary parenchymal injury using computed tomography semi-automated lung volume quantificationWen-Ruei Tang, Chao-Chun Chang, Chen-Yu Wu, et al.
Insights Into Imaging|October 7, 2024
Using high-repeatable radiomic features improves the cross-institutional generalization of prognostic model in esophageal squamous cell cancer receiving definitive chemoradiotherapyJie Gong, Qifeng Wang, Jie Li, et al.
Insights Into Imaging|October 7, 2024
Impact of AI on radiology: a EuroAIM/EuSoMII 2024 survey among members of the European Society of RadiologyMoreno Zanardo, Jacob J Visser, Anna Colarieti, et al.
Insights Into Imaging|October 7, 2024
CT-guided infiltration of the ischiofemoral space in young patients with ischiofemoral impingement is an effective diagnostic toolAlexander F Heimann, Moritz Wagner, Peter Vavron, et al.
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