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Bracco Fellowships – Research

** Due to the ongoing pandemic related to the spread of the coronavirus, this programme will not be on offer in 2021. **

This fellowship should help the applicant to develop or set up a programme in his/her institution, therefore the applicant should learn to acquire data, to review images or procedures, to manage data, to search for biases, to collaborate with statisticians/clinicians/clinical scientists, to develop skills in tools and post-processing, to collaborate or write articles, to prepare oral/written presentations.

The fellowships must take place in the first half of each year (January to June). For the year 2020, 6 research fellowships will be available.


  1. These fellowships are aimed at young radiologists, residents in the last years of training or recently board-certified radiologists and other biomedical/radiologically related specialists.
  2. Fellowships are available for applicants up to the age of 35 years (at the time of application).
  3. Applicants must be ESR members or Members in training*.
  4. Applicants must provide all the required documents together with application.

Please note that during a calendar year, candidates may only apply for one of the offered ESOR training programmes. Multiple applications for different programmes will be rejected.

Duration and funding

The fellowship will last for 2 months and must take place in the first half of 2020 (January to June). The fellow has to ensure his/her availability for the exact agreed period as any postponement is not possible. The fellow will receive a grant (€2.500,-) upon completion of the training and delivery of a final report, signed by the head of department of the hosting training centre. The grant is intended to contribute in part to travel and accommodation expenses during the training period. ESOR cannot guarantee that the grant will cover these costs in full. During the period of the training the fellow is responsible for covering his/her expenses and his/her own health insurance.


Project #1: Machine learning in cardiovascular CT and MRI

Project #2: Body Composition assessment by CT, MRI and US

Project #3: Improving quantitative imaging in assessing cancer using whole body MRI

Project #4: Evaluation of pulmonary microcirculation in pulmonary hypertension (PH)

Project #5: Functional pulmonary imaging of airway disease: analysis (visual and software-based) of current projects (preclinical imaging, translational feasibility studies and clinical trials on cystic fibrosis and COPD)

Project #6: Neuro-oncology / Neurovascular

Project #7: The Natural History of Continence and Incontinence Post-Robotic Radical Prostatectomy (The ProsPUR study – Prostate Perineal Ultrasound Research)

Project #8: Machine learning with “Asphericity”:  A novel imaging biomarker for breast cancer with 18F-FDG PET/MRI

Project #9: Use of deep learning to identify growth patterns linked to genetic mutations in colorectal carcinoma

Project #10: Performance validation of a deep learning powered automatic segmenter in an immunotherapy-treated cohort

Project #11: Deep learning in cardiovascular MRI and CT

Project #12: Identifying incidental PET positive non-tumorous lesions in the pelvis and their differentiation in PET/CT scans

Project #13: Optimization of magnetic resonance vascular imaging sequences in upper extremity transplant recipients

Project #14: Comparison of radial VIBE MR sequence-based evaluation of split renal function with standard DMSA in Live related renal donors: A pilot study

Project #15: Vacuum-assisted excision for diagnosis and treatment of lesions of uncertain malignant potential (B3 lesions): effectiveness and imaging follow-up

Project #16: Retrospective assessment and imaging correlation between clip-marked axillary lymph node and sentinel lymph node positive biopsy after neoadjuvant chemotherapy in breast cancer

Project #17: Cross sectional and longitudinal cervical spinal cord global / grey matter atrophy in multiple sclerosis, and its value in predicting disability worsening

Project #18: Immuno-radio-genomics in low-grade gliomas

Project #19: Functional and metabolic assessment of breast cancer risk using multiparametric PET-MRI of the breast


After successful completion of the training the trainee receives a certificate from ESR/ESOR. In order to receive this, the fellow must present a written report about his/her work and activities during the programme.