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Insights Into Imaging|January 24, 2024
Endometriosis MR mimickers: T1-hyperintense lesionsEdouard Ruaux, Stéphanie Nougaret, Marie Gavrel, et al.
Insights Into Imaging|January 24, 2024
Endometriosis MR mimickers: T2-hypointense lesionsEdouard Ruaux, Wendaline M VanBuren, Stéphanie Nougaret, et al.
Insights Into Imaging|January 25, 2024
Preoperative CT-based deep learning radiomics model to predict lymph node metastasis and patient prognosis in bladder cancer: a two-center studyRui Sun, Meng Zhang, Lei Yang, et al.
Insights Into Imaging|February 5, 2024
Radiology AI Deployment and Assessment Rubric (RADAR) to bring value-based AI into radiological practiceBart-Jan Boverhof, W Ken Redekop, Daniel Bos, et al.
Insights Into Imaging|January 30, 2024
CT-based radiomics signature of visceral adipose tissue and bowel lesions for identifying patients with Crohn's disease resistant to infliximabYangdi Wang, Zixin Luo, Zhengran Zhou, et al.
Insights Into Imaging|January 16, 2024
A framework to integrate artificial intelligence training into radiology residency programs: preparing the future radiologistMaria Jorina van Kooten, Can Ozan Tan, Elfi Inez Saïda Hofmeijer, et al.
Insights Into Imaging|January 16, 2024
Intratumoral and peritumoral CT radiomics in predicting prognosis in patients with chondrosarcoma: a multicenter studyQiyuan Li, Ning Wang, Yanmei Wang, et al.
Insights Into Imaging|September 10, 2024
Identification of proliferative hepatocellular carcinoma using the SMARS score and implications for microwave ablationPeng Zhou, Yan Bao, De-Hua Chang, et al.
Insights Into Imaging|August 26, 2024
Prediction of extracapsular extension of prostate cancer by MRI radiomic signature: a systematic reviewAdalgisa Guerra, Helen Wang, Matthew R Orton, et al.
Insights Into Imaging|October 24, 2024
Synthetic double inversion recovery imaging for rectal cancer T staging evaluation: imaging quality and added value to T2-weighted imagingZi Wang, Zhuozhi Dai, Xinyi Zhou, et al.
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