output
20082026
most citedSAPHIR - a multi-scale, multi-resolution modeling environment targeting blood pressure regulation and fluid homeostasis

13 citations

5 papers

cs.AI2026

Prob-BBDM: a Probabilistic Brownian Bridge Diffusion Model for MRI sequence image-to-image translation

Martin Valls, Pascal Bourdon, Christine Fernandez-Maloigne +2

AI-driven image-to-image synthesis is rapidly advancing, with growing applications in medical imaging. Multi-modal image analysis plays a crucial role in optimizing examination qua…

physics.med-ph2023★ 5 cited

Uconnect: Synergistic Spectral CT Reconstruction with U-Nets Connecting the Energy bins

Zhihan Wang, Alexandre Bousse, Franck Vermet +5

Spectral computed tomography (CT) offers the possibility to reconstruct attenuation images at different energy levels, which can be then used for material decomposition. However, t…

q-bio.NC2019★ 4 cited

A new pharmacological preconditioning-based target: from drosophila to kidney transplantation

Michel Tauc, Nicolas Melis, Miled Bourourou +3

One of the biggest challenges in medicine is to dampen the pathophysiological stress induced by an episode of ischemia. Such stress, due to various pathological or clinical situati…

cs.CV2016★ 6 cited

Reliability of PET/CT shape and heterogeneity features in functional and morphological components of Non-Small Cell Lung Cancer tumors: a repeatability analysis in a prospective multi-center cohort

Marie-Charlotte Desseroit, Florent Tixier, Wolfgang Weber +4

Purpose: The main purpose of this study was to assess the reliability of shape and heterogeneity features in both Positron Emission Tomography (PET) and low-dose Computed Tomograph…

q-bio.TO2008★ 13 cited

SAPHIR - a multi-scale, multi-resolution modeling environment targeting blood pressure regulation and fluid homeostasis

S. Randall Thomas, Enas Abdulhay, Pierre Baconnier +9

We present progress on a comprehensive, modular, interactive modeling environment centered on overall regulation of blood pressure and body fluid homeostasis. We call the project S…