BRACCO
Research Fellowship
learn from the best
This fellowship helps the applicant develop or establish a research programme in their institution. Instruction is given on data acquisition and analysis, procedure and image review, and data quality and bias management, through a collaboration with statisticians, clinicians, and clinical scientists. Post-processing tools, writing skills, and presentation styles are also discussed.
how to apply
- These fellowships are aimed at young radiologists, residents in their last years of training, or recently board-certified radiologists.
- Fellowships are available for applicants up to the age of 35 years (at the time of application).
- Applicants must be active ESR members (To renew or receive ESR membership, please proceed to this webpage).
- Candidates may only apply to institutions outside of their country of residence / work.
- Candidates from outside Europe can only apply to European training centers.
- Applicants must provide all the required documents, in English, in one single .pdf file. Incomplete applications will not be considered.
Please note:
- You may only apply to one ESOR training programme at a time. Multiple applications will not be accepted.
- Selected fellows are asked to apply for their own work permits and insurance. Please consider potentially long visa application waiting times when applying. Training centres will provide organisational and application assistance.
The following documents must be submitted to the MyESR portal in a single PDF:
01
Application form
A completed and signed application form. The checklist at the bottom of the application form specifies relevant documents
03
Letter of Motivation
Addressed to the Evaluation Committee and including a summary of their training background, areas of particular strength and interest and a brief description of how they would hope to implement and apply their medical training
04
At least two Letters of Recommendation
05
Additional documentation
Additional documentation which may help your application must be attached at the bottom of the document, with clear titles, in English
Please submit your application through the MyESR portal.
Further information that may assist your application can be found at Research Fellowship Guidelines.
*Each candidate must submit their CV in the provided ESOR format. Differing CV formats will not be considered. Please note that only complete applications can be considered. To apply for, or renew, your ESR membership, please click here.
Duration of Fellowship and Funding
The fellowship will last for 4 months and must take place in the first half of 2025 (January to June). The fellow must ensure their availability for the exact agreed period as postponement is not possible. 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 training period, the fellow is responsible for covering their expenses, including health insurance.
projects
No. | Title | Project Leader | Institution | Location |
1 📄 | From orthopantomographies to diagnosis of osteoporosis through AI and radiomics | Prof. Giuseppe Guglielmi | Foggia University School of Medicine | Foggia/IT |
2 📄 | The role of basivertebral nerve ablation in the treatment of low back pain / New device for stroke treatment | Dr Mario Mutu | Cardarelli Hospital | Naples/IT |
3 📄 | Quantification of iron deposition to the bone marrow and parenchymal organs with the use of deep learning and MR imaging | Assistant Prof. Michail Klontzas | University of Crete | Heraklion/GR |
4 📄 | Image quality in prostate MRI: a journey from initial diagnosis to active surveillance and treatment | Assoc. Prof. Francesco Giganti | University College London | London/UK |
5 📄 | Cardiac imaging with photon-counting detector CT | Prof. H. Alkadhi | University Hospital Zurich | Zurich/CH |
6 📄 | Quantitative image analysis of baseline and follow-up CT scans of colorectal cancer patients | Dr Bettina Katalin Budai | Heidelberg University Hospital | Heidelberg/DE |
7 📄 | Functional pulmonary imaging of airway disease: analysis of current projects | Prof. Mark O. Wielpütz | German Center of Lung Research | Heidelberg/DE |
8 📄 | Contrast media protocol optimisation in contrast-enhanced mammography | Dr T. J. A. van Nijnatten | Maastricht UMC+ | Maastricht/NL |
9 📄 | Diagnostic performance of 68Ga-FAPI PET imaging compared to 18F-FDG PET in breast cancer patients | Dr T. J. A. van Nijnatten | Maastricht UMC+ | Maastricht/NL |
10 📄 | Spectral CT imaging in oncologic and musculoskeletal radiology | Dr Christian Booz | University Hospital Frankfurt | Frankfurt/DE |
11 📄 | Evaluation of UGAP in diabetics and patients with cystic fibrosis in childhood and adolescence | Prof. Hans-Joachim Mentzel | University Hospital Jena | Jena/DE |
12 📄 | Radiomics, artificial intelligence, and predictive models in medical imaging | Prof. Luis Marti-Bonmatí | La Fe Health Research Institute | Valencia/ES |
13 📄 | Ultra high field (UHF) cardiac MRI (CMR) at 7T | Prof. Hendrik von Tengg-Kobligk | University Hospital Bern | Bern/CH |
14 📄 | Prediction of survival in patients with resected haepatocellular carcinoma | Dr Jules Grégory, Prof. Maxime Ronot | Beaujon Hospital | Clichy/FR |
15 📄 | Development of a quantification model of pulmonary fibrosis and characterisation of Omics parameters in inspiration-expiration lung CT | Prof. Josep Munuera | Hospital de la Santa Creu i Sant Pau | Barcelona/ES |
16 📄 | Comprehensive multi-Omics analysis of risk factors in the growth and rupture of abdominal aortic aneurysms | Prof. Josep Munuera | Hospital de la Santa Creu i Sant Pau | Barcelona/ES |
17 📄 | Deep learning analysis in diagnosing otosclerosis on temporal bone CT scans | Dr Ester Granell | Hospital de la Santa Creu i Sant Pau | Barcelona/ES |
18 📄 | Improving the evaluation of patients with haematological cancers with advanced whole body imaging | Prof. Vicky Goh | King’s College London | London/UK |
19 📄 | Development of metabolic MRI for cancer imaging | Prof. Ferdia Gallagher | University of Cambridge | Cambridge/UK |
20 📄 | AI-driven highly accelerated cardiac MRI | Prof. Felix Meinel | University Medical Center Rostock | Rostock/DE |
Discovery and validation of radiomic prognostic vector in adnexal masses on MRI with correlation to CT | Prof. Andrea Rockall | Imperial College London | London/UK | |
Multiparametric 18F-FDG PET/MRI coupled with Radiomics Analysis and Machine Learning for Prediction and Assessment of Response to Neoadjuvant Therapy in Patients with Breast Cancer | Prof. Thomas Helbich | Medical University of Vienna | Vienna/AT |