University of Brescia

Cardiovascular risk prediction from full-night polysomnography, fusing frozen sleep-staging ECG, EEG and EOG encoders with a Coupled Mamba engine.

Brain MRI morphometry framework turning one T1w scan into 13 descriptors and a normative deviation profile shared across 19 clinical diagnoses.

ECG foundation model that reads any subset of the 12 standard leads natively, encoding recordings as variable-size spatiotemporal graphs.

Brain MRI segmentation network with progressive levels of detail, trained across ~160 acquisition sites so one checkpoint handles unseen scanners.

Brain MRI segmentation model that labels an entire 7T T1w volume in a single pass, returning six tissue classes plus background in seconds.