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1
COVID-19 patients and the radiology department – advice from the European Society of Radiology (ESR) and the European Society of Thoracic Imaging (ESTI)
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COVID-19 patients and the radiology department – advice from the European Society of Radiology (ESR) and the European Society of Thoracic Imaging (ESTI)

Revel, Marie-Pierre ; Parkar, Anagha P. ; Prosch, Helmut ; Silva, Mario ; Sverzellati, Nicola ; Gleeson, Fergus ; Brady, Adrian

European radiology, 2020-09, Vol.30 (9), p.4903-4909 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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Updated prostate imaging reporting and data system (PIRADS v2) recommendations for the detection of clinically significant prostate cancer using multiparametric MRI: critical evaluation using whole-mount pathology as standard of reference
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Updated prostate imaging reporting and data system (PIRADS v2) recommendations for the detection of clinically significant prostate cancer using multiparametric MRI: critical evaluation using whole-mount pathology as standard of reference

Vargas, H. A. ; Hötker, A. M. ; Goldman, D. A. ; Moskowitz, C. S. ; Gondo, T. ; Matsumoto, K. ; Ehdaie, B. ; Woo, S. ; Fine, S. W. ; Reuter, V. E. ; Sala, E. ; Hricak, H.

European radiology, 2016-06, Vol.26 (6), p.1606-1612 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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3
A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)
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A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)

Wang, Shuai ; Kang, Bo ; Ma, Jinlu ; Zeng, Xianjun ; Xiao, Mingming ; Guo, Jia ; Cai, Mengjiao ; Yang, Jingyi ; Li, Yaodong ; Meng, Xiangfei ; Xu, Bo

European radiology, 2021-08, Vol.31 (8), p.6096-6104 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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4
Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review
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Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review

Ye, Zheng ; Zhang, Yun ; Wang, Yi ; Huang, Zixiang ; Song, Bin

European radiology, 2020-08, Vol.30 (8), p.4381-4389 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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5
Convolutional neural networks: an overview and application in radiology
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Convolutional neural networks: an overview and application in radiology

Yamashita, Rikiya ; Nishio, Mizuho ; Do, Richard Kinh Gian ; Togashi, Kaori

Insights into imaging, 2018-08, Vol.9 (4), p.611-629 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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6
Radiomics in medical imaging—“how-to” guide and critical reflection
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Radiomics in medical imaging—“how-to” guide and critical reflection

van Timmeren, Janita E. ; Cester, Davide ; Tanadini-Lang, Stephanie ; Alkadhi, Hatem ; Baessler, Bettina

Insights into imaging, 2020-08, Vol.11 (1), p.91-91, Article 91 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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7
Magnetic resonance imaging for clinical management of rectal cancer: Updated recommendations from the 2016 European Society of Gastrointestinal and Abdominal Radiology (ESGAR) consensus meeting
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Magnetic resonance imaging for clinical management of rectal cancer: Updated recommendations from the 2016 European Society of Gastrointestinal and Abdominal Radiology (ESGAR) consensus meeting

Beets-Tan, Regina G. H. ; Lambregts, Doenja M. J. ; Maas, Monique ; Bipat, Shandra ; Barbaro, Brunella ; Curvo-Semedo, Luís ; Fenlon, Helen M. ; Gollub, Marc J. ; Gourtsoyianni, Sofia ; Halligan, Steve ; Hoeffel, Christine ; Kim, Seung Ho ; Laghi, Andrea ; Maier, Andrea ; Rafaelsen, Søren R. ; Stoker, Jaap ; Taylor, Stuart A. ; Torkzad, Michael R. ; Blomqvist, Lennart

European radiology, 2018-04, Vol.28 (4), p.1465-1475 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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8
Magnetic resonance imaging for the clinical management of rectal cancer patients: recommendations from the 2012 European Society of Gastrointestinal and Abdominal Radiology (ESGAR) consensus meeting
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Magnetic resonance imaging for the clinical management of rectal cancer patients: recommendations from the 2012 European Society of Gastrointestinal and Abdominal Radiology (ESGAR) consensus meeting

Beets-Tan, Regina G. H. ; Lambregts, Doenja M. J. ; Maas, Monique ; Bipat, Shandra ; Barbaro, Brunella ; Caseiro-Alves, Filipe ; Curvo-Semedo, Luís ; Fenlon, Helen M. ; Gollub, Marc J. ; Gourtsoyianni, Sofia ; Halligan, Steve ; Hoeffel, Christine ; Kim, Seung Ho ; Laghi, Andrea ; Maier, Andrea ; Rafaelsen, Søren R. ; Stoker, Jaap ; Taylor, Stuart A. ; Torkzad, Michael R. ; Blomqvist, Lennart

European radiology, 2013-09, Vol.23 (9), p.2522-2531 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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9
Nephrogenic systemic fibrosis and gadolinium-based contrast media: updated ESUR Contrast Medium Safety Committee guidelines
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Nephrogenic systemic fibrosis and gadolinium-based contrast media: updated ESUR Contrast Medium Safety Committee guidelines

Thomsen, Henrik S. ; Morcos, Sameh K. ; Almén, Torsten ; Bellin, Marie-France ; Bertolotto, Michele ; Bongartz, Georg ; Clement, Olivier ; Leander, Peter ; Heinz-Peer, Gertraud ; Reimer, Peter ; Stacul, Fulvio ; van der Molen, Aart ; Webb, Judith AW

European radiology, 2013-02, Vol.23 (2), p.307-318 [Periódico revisado por pares]

Berlin/Heidelberg: Springer-Verlag

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10
Machine learning-based analysis of MR radiomics can help to improve the diagnostic performance of PI-RADS v2 in clinically relevant prostate cancer
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Machine learning-based analysis of MR radiomics can help to improve the diagnostic performance of PI-RADS v2 in clinically relevant prostate cancer

Wang, Jing ; Wu, Chen-Jiang ; Bao, Mei-Ling ; Zhang, Jing ; Wang, Xiao-Ning ; Zhang, Yu-Dong

European radiology, 2017-10, Vol.27 (10), p.4082-4090 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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