Showing results (511-520 of 2,202) with videos related to
Sort By:
Pageof 221
Insights Into Imaging|July 16, 2023
AI-based detection of contrast-enhancing MRI lesions in patients with multiple sclerosisSarah Schlaeger, Suprosanna Shit, Paul Eichinger, et al.Insights Into Imaging|August 4, 2023
Comparison of sound touch elastography and quantification for assessing the renal pathologic changes in patients with proteinuriaZhengmin Ruan, Zhiying Xiao, Xue Shi, et al.Insights Into Imaging|July 5, 2023
Virtual biopsy using CT radiomics for evaluation of disagreement in pathology between endoscopic biopsy and postoperative specimens in patients with gastric cancer: a dual-energy CT generalizability studyYiyang Liu, Shuai Zhao, Zixin Wu, et al.Insights Into Imaging|July 5, 2023
MRI of endometriosis in correlation with the #Enzian classification: applicability and structured reportCristina Maciel, Hélder Ferreira, Dusan Djokovic, et al.Insights Into Imaging|July 3, 2023
Photon-counting CT allows better visualization of temporal bone structures in comparison with current generation multi-detector CTRobert Hermans, Lukas Boomgaert, Lesley Cockmartin, et al.Insights Into Imaging|June 18, 2023
Dynamic chest radiography: a state-of-the-art reviewFred Fyles, Thomas S FitzMaurice, Ryan E Robinson, et al.Insights Into Imaging|June 19, 2023
Anatomically guided self-adapting deep neural network for clinically significant prostate cancer detection on bi-parametric MRI: a multi-center studyAhmet Karagoz, Deniz Alis, Mustafa Ege Seker, et al.Insights Into Imaging|June 19, 2023
European survey on the use of patient contact shielding during radiological examinationsClaudio Granata, Erik Briers, Cristian Candela-Juan, et al.Insights Into Imaging|July 15, 2026
Contrast-enhanced mammography in the setting of neoadjuvant therapy from a multidisciplinary perspectiveLígia Pires-Gonçalves, Conceição Leal, António Guimarães-Santos, et al.Insights Into Imaging|June 24, 2026
Development and validation of an interpretable ultrasound radiomics model for benign and malignant classification of breast lesions: a multicenter large-sample studyDi Zhang, Wen-Wu Lu, Xia-Chuan Qin, et al.Pageof 221