Pica Code IR-2026-040 - AI-Enhanced Ultrasound for Male Fertility and Testicular Screening

Scientific-Disciplinary Group

09/IINF-05 - Information Processing Systems

Description

The research fellow will conduct scientific activities focused on the analysis of ultrasound images and other radiological modalities, with particular emphasis on the study and development of artificial intelligence algorithms for the automatic generation of clinical reports from visual data. The work will also include the design and experimental evaluation of generative methods for the creation of synthetic images driven by textual descriptions, as well as research on segmentation algorithms that integrate information extracted from medical reports. All activities will be aimed at the experimental validation of the developed models and their use to enhance the performance and reliability of clinical analysis tools.

Compensation

33,708 Euro

Job posting website

https://titulus-unimore.cineca.it/albo/

Number of positions

1

Maximum duration

36.0

Funding body

Unimore

How to apply

Other

Selection process