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Insights Into Imaging|November 12, 2021
CT imaging of peritoneal carcinomatosis with surgical correlation: a pictorial reviewPanagiota Berta Panagiotopoulou, Nikos Courcoutsakis, Apostolos Tentes, et al.
Insights Into Imaging|November 12, 2021
Feasibility of utilizing ultra-low-dose contrast medium for pancreatic artery depiction using the combination of advanced virtual monoenergetic imaging and high-concentration contrast medium: an intra-patient studyJuan Li, Yu-Hong Wang, Fu-Ling Zheng, et al.
Insights Into Imaging|January 9, 2022
MRI-assessed tumor-free distance to serosa predicts deep myometrial invasion and poor outcome in endometrial cancerJulie Andrea Dybvik, Kristine E Fasmer, Sigmund Ytre-Hauge, et al.
Insights Into Imaging|October 4, 2019
HRCT imaging of acquired cholesteatoma: a pictorial reviewMalvika Gulati, Swati Gupta, Anjali Prakash, et al.
Insights Into Imaging|February 10, 2021
Not all biases are bad: equitable and inequitable biases in machine learning and radiologyMirjam Pot, Nathalie Kieusseyan, Barbara Prainsack
Insights Into Imaging|September 25, 2019
Techniques and future perspectives for the prevention and treatment of endoleaks after endovascular repair of abdominal aortic aneurysmsGianluigi Orgera, Marcello Andrea Tipaldi, Florindo Laurino, et al.
Insights Into Imaging|May 3, 2014
Rupture signs on computed tomography, treatment, and outcome of abdominal aortic aneurysmsKim-Nhien Vu, Youri Kaitoukov, Florence Morin-Roy, et al.
Insights Into Imaging|December 18, 2021
Factors affecting the value of diffusion-weighted imaging for identifying breast cancer patients with pathological complete response on neoadjuvant systemic therapy: a systematic reviewKay J J van der Hoogt, Robert J Schipper, Gonneke A Winter-Warnars, et al.
Insights Into Imaging|December 21, 2021
Does lateral arm technique decrease the rate of clip migration in stereotactic and tomosynthesis-guided biopsies?Olena Weaver, Ethan O Cohen, Rachel E Perry, et al.
Insights Into Imaging|November 20, 2021
Machine learning-based CT radiomics approach for predicting WHO/ISUP nuclear grade of clear cell renal cell carcinoma: an exploratory and comparative studyYingjie Xv, Fajin Lv, Haoming Guo, et al.
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