Mario Ceresa

TL;DR: In this model, the neuromodulator acetylcholine (ACh), which is in turn under control of the amygdala, plays a distinct role in the dynamics of each population and their associated gating function serving the detection of novel sensory features not captured in the state of the network, facilitating the adjustment of cortical sensory representations and regulating the switching between modes of attention and learning.

TL;DR: An algorithm for robust airway segmentation that attains both high sensitivity and accuracy is presented by using an initial permissive voxel acceptance criterion followed by early leakage detection and correction using a novel leakage recovery algorithm.

TL;DR: An auto-encoder based Generative Adversarial Network is adopted for synthetic fetal MRI generation that features a balanced power of the discriminator against the generator during training, provides an approximate convergence measure, and enables fast and robust training to generate high-quality fetal MRI in axial, sagittal and coronal planes.

TL;DR: A software application for planning cochlear implantation procedures that includes patient- specific anatomy estimation using high resolution models, implant optimization for patient-specific implant selection, simulation of mechanical and electrical properties of the implant as well as clinical reporting is presented.

TL;DR: It is shown that airway remodeling happens in individuals suffering from either COPD or emphysema, with some local difference between both groups, and that this process is able to detect and accurately quantify this process using images of low-dose CT scans.