14 citations · 27 across the 10 of their papers we have counts for
3 papers · 1 filter
Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation
João B. S. Carvalho, João A. Santinha, Đorđe Miladinović +1
In clinical practice, regions of interest in medical imaging often need to be identified through a process of precise image segmentation. The quality of this image segmentation ste…
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling
Đorđe Miladinović, Aleksandar Stanić, Stefan Bauer +2
How to improve generative modeling by better exploiting spatial regularities and coherence in images? We introduce a novel neural network for building image generators (decoders) a…
On maximum-likelihood estimation in the all-or-nothing regime
Luca Corinzia, Paolo Penna, Wojciech Szpankowski +1
We study the problem of estimating a rank-1 additive deformation of a Gaussian tensor according to the \emph{maximum-likelihood estimator} (MLE). The analysis is carried out in the…