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Deep learning with ultrasonography: automated classification of liver fibrosis using a deep convolutional neural network
European Radiology, 2019 Jeong Hyun Lee, I. Joo, T. Kang, Y. Paik, D. Sinn, S. Ha, Kyunga Kim, Choonghwan Choi, Gunwoo Lee, J. Yi, Won-Chul Bang +10 moresemanticscholar +1 more sourcePoint‐of‐Care Ultrasonography for Evaluation of Acute Dyspnea in the ED
Chest, 2017 M. Zanobetti, Margherita Scorpiniti, C. Gigli, P. Nazerian, S. Vanni, F. Innocenti, V. Stefanone, Caterina Savinelli, A. Coppa, S. Bigiarini, F. Caldi, I. Tassinari, A. Conti, S. Grifoni, R. Pini +14 moresemanticscholar +1 more sourceGuidelines for the Appropriate Use of Bedside General and Cardiac Ultrasonography in the Evaluation of Critically Ill Patients—Part II: Cardiac Ultrasonography
Critical Care Medicine, 2016 A. Levitov, H. Frankel, M. Blaivas, A. Kirkpatrick, E. Su, David C. Evans, D. Summerfield, A. Slonim, R. Breitkreutz, S. Price, M. Mclaughlin, P. Marik, M. Elbarbary +12 moresemanticscholar +1 more sourceDefining the learning curve for multiparametric magnetic resonance imaging (MRI) of the prostate using MRI‐transrectal ultrasonography (TRUS) fusion‐guided transperineal prostate biopsies as a validation tool
BJU International, 2016 G. Gaziev, K. Wadhwa, T. Barrett, B. Koo, F. Gallagher, E. Serrao, J. Frey, Jonas Seidenader, L. Carmona, A. Warren, V. Gnanapragasam, A. Doble, C. Kastner +12 moresemanticscholar +1 more sourceGuidelines for the Appropriate Use of Bedside General and Cardiac Ultrasonography in the Evaluation of Critically Ill Patients—Part I: General Ultrasonography
Critical Care Medicine, 2015 H. Frankel, A. Kirkpatrick, M. Elbarbary, M. Blaivas, Himanshu Desai, David C. Evans, D. Summerfield, A. Slonim, R. Breitkreutz, S. Price, P. Marik, D. Talmor, A. Levitov +12 moresemanticscholar +1 more source
