The European School of Radiology (ESOR) will begin accepting applications for its visiting scholarship program on 25 February. The deadline for submission is 11 March.
The scholarships are offered in partnership with contrast developer Bracco Imaging and the European Society of Radiology (ESR), and as many as 36 scholarships are available this year on different topics. In addition, one scholarship for Spanish residents is available through the Spanish Foundation of Radiology, three scholarships for Greek residents from the Hellenic Radiological Society, and two scholarships for residents from Georgia within the ESR Support Initiative.
The three-month program is designed to give would-be radiologists an opportunity to experience another training environment and perhaps develop an interest in a particular subspecialty.
To qualify, residents must be in their third, fourth, or fifth year of training and must have completed a training curriculum from at least the first two years of residency. Applicants should have competence in producing a radiological report and communicating with clinicians and patients, as well as knowledge of the principles of administration and management applied to a clinical department with multidisciplinary staff and high-cost equipment.
![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)
