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Strong support for the congress has come from the ever stylish locals in the United Arab Emirates.
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The only platinum sponsor for the congress, FujiFilm, is celebrating its 80th anniversary this year. Of the big four vendors, Philips is a surprising absentee this week.
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Red devils: Soccer players from Manchester United feature prominently in the Toshiba booth. The company opened a sports imaging facility in Manchester, U.K., in March 2014.
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Egyptian radiologists are incredibly proud to be so closely involved in the organization of ICR 2014, said Dr. Tarek El-Diasty, president of the Egyptian Society of Radiology and Nuclear Medicine, at the opening ceremony.
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The World Trade Center, the venue for ICR 2014, is also hosting a huge computer games show this week.
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Long queues in the registration area meant some delegates missed the opening session at 10 am. There was also a shortage of printed programs.
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ICR is taking a leaf out of the European Congress of Radiology's book by using floral displays in the registration area.
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House rules: No less than 14 regulations have been drawn up for this week’s meeting.
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Radiologists have got the selfie bug, it seems.
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Smile please! Old friends and new from across the globe gathered in the registration area on the opening day of the congress.
![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
