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BMC Medical Imaging|April 25, 2020
Non-rigid image registration of 4D-MRI data for improved delineation of moving tumorsStefan Weick, Kathrin Breuer, Anne Richter, et al.
BMC Medical Imaging|September 19, 2025
Optimized deep learning-accelerated single-breath-hold abdominal HASTE with and without fat saturation improves and accelerates abdominal imaging at 3 TeslaQinxuan Tan, Felix Kubicka, Dominik Nickel, et al.
BMC Medical Imaging|August 4, 2025
Combined nomogram for differentiating adrenal pheochromocytoma from large-diameter lipid-poor adenoma using multiphase CT radiomics and clinico-radiological featuresZujuan Shan, Xinzhang Zhang, Yiwen Zhang, et al.
BMC Medical Imaging|August 9, 2025
CT-based radiomics model for noninvasive prediction of progression-free survival in high-grade serous ovarian carcinoma: a multicenter study incorporating preoperative and postoperative clinical factorsXinping Yu, Zidong Zhang, Yuwei Zou, et al.
BMC Medical Imaging|August 15, 2025
AI post-intervention operational and functional outcomes prediction in ischemic stroke patients using MRIsEmily Wittrup, John Reavey-Cantwell, Aditya S Pandey, et al.
BMC Medical Imaging|September 27, 2025
MedIENet: medical image enhancement network based on conditional latent diffusion modelWeizhen Yuan, Yue Feng, Tiancai Wen, et al.
BMC Medical Imaging|September 30, 2025
Nomogram to predict the EGFR mutation status in stage III-IV solid lung adenocarcinoma patientsWenjian Tang, Yuan Kang, Bo Lan, et al.
BMC Medical Imaging|August 6, 2025
Preoperative MRI and CA19-9 for predicting occult lymph node metastasis in small pancreatic ductal adenocarcinoma (≤ 2 cm)Qiying Tang, Lei Li, Zhiwei Pan, et al.
BMC Medical Imaging|August 12, 2025
Correlation between carotid artery ultrasound parameters and lacunar infarctionPeipei Yang, Ying Hui, Shuohua Chen, et al.
BMC Medical Imaging|August 13, 2025
Predicting preoperative lymph node metastasis in patients with high-grade serous ovarian cancer by using intratumoral and peritumoral radiomics: a retrospective cohort studySilin Nie, Yumin Jiang, Huixiang Ji, et al.
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