3 papers
math.OC2025
A three-step framework for noisy image segmentation in brain MRI
Laura Antonelli, Valentina De Simone, Marco Viola
Magnetic Resonance Imaging (MRI) is essential for noninvasive generation of high-quality images of human tissues. Accurate segmentation of MRI data is critical for medical applicat…
math.NA2020
Spatially Adaptive Regularization in Image Segmentation
Laura Antonelli, Valentina De Simone, Daniela di Serafino
We modify the total-variation-regularized image segmentation model proposed by Chan, Esedoglu and Nikolova [SIAM Journal on Applied Mathematics 66, 2006] by introducing local regul…
math.OC2019
A subspace-accelerated split Bregman method for sparse data recovery with joint l1-type regularizers
Valentina De Simone, Daniela di Serafino, Marco Viola
We propose a subspace-accelerated Bregman method for the linearly constrained minimization of functions of the form ,…