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Insights Into Imaging|October 10, 2023
MRI feature-based radiomics models to predict treatment outcome after stereotactic body radiotherapy for spinal metastasesYongye Chen, Siyuan Qin, Weili Zhao, et al.Insights Into Imaging|September 29, 2023
Core and penumbra estimation using deep learning-based AIF in association with clinical measures in computed tomography perfusion (CTP)Sukhdeep Singh Bal, Fan-Pei Gloria Yang, Nai-Fang Chi, et al.Insights Into Imaging|September 27, 2023
Pelvic floor parameters predict postpartum stress urinary incontinence: a prospective MRI studyCong You, Yujiao Zhao, Cheng Zhang, et al.Insights Into Imaging|September 19, 2023
Dual-layer spectral-detector CT for predicting microsatellite instability status and prognosis in locally advanced gastric cancerYongjian Zhu, Peng Wang, Bingzhi Wang, et al.Insights Into Imaging|September 23, 2023
Predictive modeling based on tumor spectral CT parameters and clinical features for postoperative complications in patients undergoing colon resection for cancerXiaoying Tan, Xiao Yang, Shudong Hu, et al.Insights Into Imaging|September 23, 2023
Early chest CT abnormalities to predict the subsequent occurrence of chronic lung allograft dysfunctionPaul Habert, Elsa Chetrit, Benjamin Coiffard, et al.Insights Into Imaging|September 19, 2023
Best imaging signs identified by radiomics could outperform the model: application to differentiating lung carcinoid tumors from atypical hamartomasPaul Habert, Antoine Decoux, Lilia Chermati, et al.Insights Into Imaging|September 19, 2023
The diagnostic performance and clinical value of deep learning-based nodule detection system concerning influence of location of pulmonary noduleSeulgi You, Ji Hyun Park, Bumhee Park, et al.Insights Into Imaging|July 19, 2023
Automatic analysis framework based on 3D-CT multi-scale features for accurate prediction of Ki67 expression levels in substantial renal cell carcinomaHuancheng Yang, Jiashan Lin, Hanlin Liu, et al.Insights Into Imaging|July 19, 2023
Understanding a mass in the paraspinal region: an anatomical approachMaud Creze, Jessica Ghaouche, Gilles Missenard, et al.Pageof 217