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Insights Into Imaging|January 29, 2025
MRI-based deep learning radiomics to differentiate dual-phenotype hepatocellular carcinoma from HCC and intrahepatic cholangiocarcinoma: a multicenter studyQian Wu, Tao Zhang, Fan Xu, et al.
Insights Into Imaging|January 31, 2025
Attitudes of radiologists and interns toward the adoption of GPT-like technologies: a National Survey Study in ChinaTianyi Xia, Shijun Zhang, Ben Zhao, et al.
Insights Into Imaging|November 15, 2024
Constructing and exploring neuroimaging projects: a survey from clinical practice to scientific researchZiyan Chen, Abraham Ayodeji Adegboro, Lan Gu, et al.
Insights Into Imaging|November 15, 2024
Multimodality deep learning radiomics predicts pathological response after neoadjuvant chemoradiotherapy for esophageal squamous cell carcinomaYunsong Liu, Yi Wang, Xinyang Hu, et al.
Insights Into Imaging|November 15, 2024
Value of high frame rate contrast-enhanced ultrasound in predicting microvascular invasion of hepatocellular carcinomaXiang Fei, Lianhua Zhu, Peng Han, et al.
Insights Into Imaging|November 11, 2024
Roles of MRI evaluation of pelvic recurrence in patients with rectal cancerPatricia Perola Dantas, Verônica Botelho Teixeira, Carlos Frederico Sparapan Marques, et al.
Insights Into Imaging|November 4, 2024
Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequencesEugenia Mylona, Dimitrios I Zaridis, Charalampos Ν Kalantzopoulos, et al.
Insights Into Imaging|November 29, 2024
Machine learning-based radiomics prognostic model for patients with proximal esophageal cancer after definitive chemoradiotherapyLinrui Li, Zhihui Qin, Juan Bo, et al.
Insights Into Imaging|November 29, 2024
Contrast-enhanced US Bosniak Classification: intra- and inter-rater agreement, confounding features, and diagnostic performanceDong-Dong Jin, Bo-Wen Zhuang, Ke Lin, et al.
Insights Into Imaging|November 22, 2024
Percutaneous cryoablation of abdominal wall endometriosis: a systematic literature review of safety and efficacySylvain Bodard, Leo Razakamanantsoa, Ruben Geevarghese, et al.
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