activity
20162026
most citedCompartmental analysis of dynamic nuclear medicine data: models and identifiability

11 citations · 23 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026★ 1 cited

VertAX: a differentiable vertex model for learning epithelial tissue mechanics

Alessandro Pasqui, Jim Martin Catacora Ocana, Anshuman Sinha +7

Epithelial tissues dynamically reshape through local mechanical interactions among cells, a process well captured by vertex models. Yet their many tunable parameters make inference…

math-ph2025

Stable soap bubble clusters with multiple torus bubbles

Fabrice Delbary

In the last two centuries and more particularly in the last decades, the geometry of foams has become an important research domain, in mathematics, physics, material sciences and b…

physics.bio-ph2023★ 3 cited

Inverse 3D Microscopy Rendering for Cell Shape Inference with Active Mesh

Sacha Ichbiah, Anshuman Sinha, Fabrice Delbary +1

Traditional methods for biological shape inference, such as deep learning (DL) and active contour models, face important limitations in 3D. DL approaches require large annotated da…

math.NA2022

Physical configurations of a cell doublet with line tension, a theoretical study

Fabrice Delbary

As a first approximation, early embryos may be modeled as foams whose shape depends on the surface tensions of each cell. However it has been remarked that exist line tensions at p…

math.NA2018

A generalized Newton iteration for computing the solution of the inverse Henderson problem

Fabrice Delbary, Martin Hanke, Dmitry Ivanizki

We develop a generalized Newton scheme IHNC for the construction of effective pair potentials for systems of interacting point-like particles.The construction is made in such a way…

physics.med-ph2016★ 5 cited

Compartmental analysis of dynamic nuclear medicine data: regularization procedure and application to physiology

Delbary Fabrice, Garbarino Sara

Compartmental models based on tracer mass balance are extensively used in clinical and pre-clinical nuclear medicine in order to obtain quantitative information on tracer metabolis…

math.NA2016★ 3 cited

The Radon transform and the Hough transform: a unifying perspective

Riccardo Aramini, Fabrice Delbary, Mauro C. Beltrametti +2

The Radon transform is a linear integral transform that mimics the data formation process in medical imaging modalities like X-ray Computerized Tomography and Positron Emission Tom…

q-bio.QM2016★ 11 cited

Compartmental analysis of dynamic nuclear medicine data: models and identifiability

Fabrice Delbary, Sara Garbarino, Valentina Vivaldi

Compartmental models based on tracer mass balance are extensively used in clinical and pre-clinical nuclear medicine in order to obtain quantitative information on tracer metabolis…