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Scientific Reports|June 22, 2021
MRI-derived radiomics model for baseline prediction of prostate cancer progression on active surveillanceNikita Sushentsev, Leonardo Rundo, Oleg Blyuss, et al.Surgery|March 24, 2009
Revascularization to an isolated ("blind") popliteal artery segment: a viable procedure for critical limb ischemiaEnzo Ballotta, Giuseppe Da Giau, Mario Gruppo, et al.Vascular and Endovascular Surgery|June 28, 2007
Natural history of symptomatic and asymptomatic carotid artery occlusion contralateral to carotid endarterectomy: a prospective studyEnzo Ballotta, Giuseppe Da Giau, Giorgia Santarello, et al.Scientific Reports|April 16, 2021
Robustness of radiomic features in CT images with different slice thickness, comparing liver tumour and muscleLorena Escudero Sanchez, Leonardo Rundo, Andrew B Gill, et al.BMC Cardiovascular Disorders|April 1, 2006
High-grade symptomatic and asymptomatic carotid stenosis in the very elderly. A challenge for proponents of carotid angioplasty and stentingEnzo Ballotta, Giuseppe Da Giau, Carmelo Militello, et al.The British Journal of Radiology|September 20, 2021
Serial changes in tumour measurements and apparent diffusion coefficients in prostate cancer patients on active surveillance with and without histopathological progressionNikita Sushentsev, Iztok Caglic, Leonardo Rundo, et al.Scientific Reports|November 2, 2021
Impact of GAN-based lesion-focused medical image super-resolution on the robustness of radiomic featuresErick Costa de Farias, Christian di Noia, Changhee Han, et al.Journal of Vascular Surgery|November 9, 2005
Surgical vs medical treatment for isolated internal carotid artery elongation with coiling or kinking in symptomatic patients: a prospective randomized clinical studyEnzo Ballotta, Gaetano Thiene, Claudio Baracchini, et al.Aging Clinical and Experimental Research|November 20, 2012
Clinical correlation of mesenteric vascular disease in older patientsFabrizio Cardin, Stefania Fratta, Egle Perissinotto, et al.Insights Into Imaging|March 29, 2022
Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic reviewNikita Sushentsev, Nadia Moreira Da Silva, Michael Yeung, et al.Pageof 11