Julia Patuzzi

2019
Derchi looks forward to celebrating ECR milestone in 2019
Dr. Lorenzo Derchi from Genoa, Italy, is the incoming president of the European Society of Radiology and will be in charge of ECR 2019. He shares his plans and ideas for the next ECR, which will be the 25th congress to be held in Vienna.
March 5, 2018
2018 03 05 18 31 8485 Ecr 2019 Poster 20180305183443
2018
Big data, AI look set to come under scrutiny at ECR 2018
Big data, artificial intelligence (AI), and radiomics will be among the hot topics at ECR 2018. The meeting is only six months away, and ESR President Dr. Bernd Hamm looks ahead to the central themes on the agenda for Vienna.
August 27, 2017
2017 08 25 11 36 54 854 Ecr 2018 Poster 400 Thumb
2018
ECR 2018 aims to promote unity and show diversity
"Diverse and United" is the motto for ECR 2018, which runs from 28 February to 4 March. Dr. Bernd Hamm, from Berlin, is returning as congress president, after presiding over ECR 2015. In this interview, he speaks about his ideas and plans for next year's meeting.
March 5, 2017
2017 03 04 12 45 39 964 Hamm Bernd 400
2016
Parizel identifies youth as central theme for ECR 2017
Dr. Paul Parizel, PhD, from Antwerp, Belgium, is the incoming president of both the European Society of Radiology and the European Congress of Radiology. In this interview, he speaks about this new position, his visions for the society, and his ideas for next year's congress.
March 6, 2016
2016 03 06 10 38 52 339 Parizel Paul 200
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Figure: Improved image quality with a generative adversarial network architecture for low- to high-field-strength image translation, called LowGAN. (A–C) Top: High-field-strength (3-T) and low-field-strength (64-mT) images and LowGAN outputs for a single participant across (A) fluid-attenuated inversion recovery (FLAIR), (B) T1-weighted (T1w), and (C) T2-weighted (T2w) contrasts. Bottom: Graphs demonstrate the structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), normalized cross-correlation (NCC), and feature similarity index (FSIM) between high field strength and low field strength (64-mT) and high field strength and LowGAN outputs. a.u. = arbitrary units.****p ≤ 0.0001. Images and caption courtesy of Radiology and the RSNA.
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