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Insights Into Imaging|September 17, 2025
Augmenting conventional criteria: a CT-based deep learning radiomics nomogram for early recurrence risk stratification in hepatocellular carcinoma after liver transplantationZiqian Wu, Danyang Liu, Siyu Ouyang, et al.
Insights Into Imaging|August 15, 2025
Controversies in contrast-enhanced ultrasound (CEUS): pregnancy, paediatric, abdominal trauma, complex renal cysts, and endovascular aortic repair follow-upPaul S Sidhu, Dirk Andre Clevert, Annamaria Deganello, et al.
Insights Into Imaging|August 9, 2025
Deep learning in rib fracture imaging: study quality assessment using the Must AI Criteria-10 (MAIC-10) checklist for artificial intelligence in medical imagingJonas M Getzmann, Kitija Nulle, Cinzia Mennini, et al.
Insights Into Imaging|September 19, 2025
Pretreatment intravoxel incoherent motion histogram metrics and clinical characteristics for prediction of perineural invasion status and survival in patients with rectal cancerAo Yang, Hao Xu, Xin Zhang, et al.
Insights Into Imaging|October 16, 2025
Spectral CT in practice: insights from an International Atomic Energy Agency surveyVirginia Tsapaki, Zoe Brady, Nathaly Barbosa, et al.
Insights Into Imaging|October 26, 2025
Imaging insights in veno-venous and veno-arterial extracorporeal membrane oxygenation (ECMO): CT protocols, underlying pathophysiology, and main complicationsFrancesco Lauriero, Giuseppe Cicchetti, Alessio Perazzolo, et al.
Insights Into Imaging|October 26, 2025
Factors associated with research activity among radiologists: results of a Nordic surveyPyry Jylhä-Vuorio, Irina Rinta-Kiikka, Anne Mäkikangas, et al.
Insights Into Imaging|October 26, 2025
Novel endoluminal parameters for predicting primary loss of response in Crohn's disease: a multi-center studyRuchen Yao, Changsheng Cai, Jie Liang, et al.
Insights Into Imaging|August 2, 2025
Repeatability and prognostic value of radiomic features: a study in esophageal cancer and nasopharyngeal carcinomaJie Gong, Fan Meng, Changhao Liu, et al.
Insights Into Imaging|August 1, 2025
Deep learning-based super-resolution US radiomics to differentiate testicular seminoma and non-seminoma: an international multicenter studyYafang Zhang, Shilin Lu, Chuan Peng, et al.
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