Bracco Fellowships – Research

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 2023, 6 research fellowships will be available.

Eligibility

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 active ESR members. (To renew or subscribe for ESR membership 2022, please proceed to this webpage for more information.)
4. To ensure equal opportunities candidates should apply only to institutions outside of their country of residence/work.
5. Applicants must provide all the required documents together with the application in one single pdf file. Incomplete applications will not be considered.

PLEASE NOTE:

• During one and the same calendar year, candidates may only apply for one of the offered ESOR training programmes. Multiple applications for different programmes will be rejected.
• The selected fellow is asked to take care of his/her working permit and insurance. Please note that he/she is responsible for his/her visa. The training centre will help the selected fellow with all organisational details.

Duration and funding

The fellowship should last for 4 months and must take place in the first half of 2023 (January to June). The fellow must ensure his/her availability for the exact agreed period as any postponement is not possible. Based on a fellowship duration of 4 months, the fellow will receive a grant (€5,000) 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.

Projects

Applications are accepted for the following research projects in 2023:

Project #1: Artificial intelligence applied to imaging of bone and soft tissue tumors

Project #2: Automated volumetry of the spinal subarachnoid space

Project #3: 3D MRI and CT in the follow-up after intervention in liver cancer

Project #4: Development of an AI tool for the quantification and feature extraction of brain vascular-MRI in a pediatric cohort

Project #5: Qualitative and Quantitative Analysis of Contrast-Enhanced Ultrasound (CEUS)

Project #6: AI for prostate cancer detection

Project #7: Multimodality Breast Imaging research fellowship

Project #8: Ischemic STROKE treatment in patients with low NIHSS: how to select patients

Project #9: Prophilactic vertebroplasty in the treatment of osteoporotic vertebral fracture: which is the evidence

Project #10: The role of perfusion imaging in emergency neuroradiology

Project #11: Application of AI models to improve diagnostic performance of MRI in drug resistant epilepsy

Project #12: New Ways of Cardiac Imaging with Photon-Counting Detector CT

Project #13: T2 relaxation times of the discus interpubicus in osteitis pubis

Project #14: Participation in ongoing fundamental, translational, clinical or epidemiological imaging studies

Project #15: Functional pulmonary imaging of airway disease

Project #16: Ability of Radiofrequency Echographic Multi-Spectrometry to identify secondary osteoporosis in cancer patients

Project #17: Novel imaging and AI strategies to boost personalized and minimally invasive treatment in oncology

Project #18: Can Contrast-Enhanced Mammography (CEM) replace Contrast-Enhanced Breast Magnetic Resonance Imaging (bMRI) in the assessment of suspicious breast findings? An intraindividual comparison

Project #19: Machine learning in lung cancer

Certification