24 citations · 41 across the 10 of their papers we have counts for
10 papers
A Theory of Speciation in Generative Diffusion Models on Compact Riemannian Manifolds
Alessio Marta, Paola Causin
Speciation in generative diffusion models denotes the emergence of distinct stable branches during denoising, through which initially undifferentiated trajectories progressively co…
Optimization of gridding algorithms for FFT by vector optimization
Federico Achini, Paola Causin, Sara Vanini +2
The Fast Fourier Transform (FFT) is widely used in applications such as MRI, CT, and interferometry; however, because of its dependence on uniformly sampled data, it requires the u…
Estimating Dataset Dimension via Singular Metrics under the Manifold Hypothesis: Application to Inverse Problems
Paola Causin, Alessio Marta
High-dimensional datasets often exhibit low-dimensional geometric structures, as suggested by the manifold hypothesis, which implies that data lie on a smooth manifold embedded in…
A Modular Deep Learning-based Approach for Diffuse Optical Tomography Reconstruction
Alessandro Benfenati, Paola Causin, Martina Quinteri
Medical imaging is nowadays a pillar in diagnostics and therapeutic follow-up. Current research tries to integrate established - but ionizing - tomographic techniques with technolo…
Unsupervised deep learning techniques for powdery mildew recognition based on multispectral imaging
Alessandro Benfenati, Paola Causin, Roberto Oberti +1
Objectives. Sustainable management of plant diseases is an open challenge which has relevant economic and environmental impact. Optimal strategies rely on human expertise for field…
A Deep Learning Generative Model Approach for Image Synthesis of Plant Leaves
Alessandro Benfenati, Davide Bolzi, Paola Causin +1
Objectives. We generate via advanced Deep Learning (DL) techniques artificial leaf images in an automatized way. We aim to dispose of a source of training samples for AI applicatio…
A Learned-SVD approach for Regularization in Diffuse Optical Tomography
Alessandro Benfenati, Giuseppe Bisazza, Paola Causin
Diffuse Optical Tomography (DOT) is an emerging technology in medical imaging which employs light in the NIR spectrum to estimate the distribution of optical coefficients in biolog…
Mathematical modeling of local perfusion in large distensible microvascular networks
Paola Causin, Francesca Malgaroli
Microvessels -blood vessels with diameter less than 200 microns- form large, intricate networks organized into arterioles, capillaries and venules. In these networks, the distribut…
A Poroelastic Mixture Model of Mechanobiological Processes in Tissue Engineering. Part II: Numerical Simulations
Chiara Lelli, Riccardo Sacco, Paola Causin +1
In Part I of this article we have developed a novel mechanobiological model of a Tissue Engineering process that accounts for the mechanisms through which an isotropic or anisotrop…
A Poroelastic Mixture Model of Mechanobiological Processes in Tissue Engineering. Part I: Mathematical Formulation
Chiara Lelli, Riccardo Sacco, Paola Causin +1
An adequate control of cell response in tissue engineering applications is of utmost importance to obtain products suitable to clinical practice. This paper is the first part of a…