Whole-body attenuation correction (AC) is still challenging in combined PET/MR scanners.
We describe Dixon-VIBE Deep Learning (DIVIDE), a deep-learning network that allows …

Objective: This study aimed to prove the concept of a new optical video-based system to
measure Parkinson's disease (PD) remotely using an accessible standard webcam. Methods: …

We present a study of multiple sclerosis segmentation algorithms conducted at the
international MICCAI 2016 challenge. This challenge was operated using a new open-science …

Robust identification and tracking of the pupil provides key information that can be used in
several applications such as controlling gaze-based HMIs (human machine interfaces), …

Featured Application The Franken-CT approach allows synthesizing pseudo-CT images
from using diverse anatomical overlapping MR-CT datasets as a potential application in PET/…

Attenuation correction remains a challenge in pelvic PET/MRI. In addition to the
segmentation/model-based approaches, deep learning methods have shown promise in …

This paper provides an overview of the different deep convolutional neural network (DCNNs)
architectures that have been investigated in the past years for the generation of synthetic …

Eyelid identification provides key data that can be used in several application such as
controlling gaze-based HMIs (human machine interfaces), the design of new diagnostic tools for …

Multiple Sclerosis (MS) is a chronic, inflammatory and demyelinating disease that primarily
affects the white matter of the central nervous system. Automatic segmentation of MS lesions …

To analyze whether there is improvement in adherence to inhaled treatment in patients with
COPD and asthma after an educational intervention based on the teach-to-goal method. …