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Open access Oct 2026

UniPET: a unified approach for whole-body CT to PET translation

Positron emission tomography (PET) provides critical metabolic information for oncological imaging, yet its use is constrained by radiation exposure, cost, and limited availability. Synthesizing PET-like images from computed tomography (CT) has been proposed as a way to approximate metabolic information; however, exi...

Francesco Di Feola, V. Guarrasi, Mikael Johansson et al. · 0 citations
Preprint Aug 2026

Compositional Cross-Modality Translation via Whole-Volume Multitask Latent Flow Matching

Cross-modality medical image translation can reduce the burden of multi-modal acquisitions, yet the field remains constrained by two coupled limitations: methods operate on 2D slices or 3D patches rather than whole volumes, and train a separate model for each translation task. Both stem from a single cause, the absence...

Daniele Molino, Alessio Zoboli, Camillo Maria Caruso et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Source Anchoring for Physical Consistency in Flow Matching Models

This work proposes Source Anchoring for Physical Consistency (SAPC), a Functional Flow Matching method that encodes the physical constraints into the source noise before generation begins, and identifies the source distribution as a key design choice for physically consistent generative modelling.

G. Romoli, Filippo Ruffini, P. Soda · 0 citations
Review Open access Jul 2026

Beyond morphology: imaging the glioblastoma microenvironment in the era of quantitative neuro-oncology

Glioblastoma (GBM) is the most aggressive primary brain tumor in adults and is characterized by rapid progression, marked spatial and molecular heterogeneity, and poor prognosis despite multimodal treatment strategies. Tumor behavior is not determined solely by intrinsic genetic alterations but also by dynamic interact...

Lorenzo Arena, G. Espa, Giovanni Bertalot et al. · 0 citations

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