• Multimodal fusion of US and MR images for Twin to Twin Transfusion Syndrome fetal surgeries

  Monfort Sánchez, Elena (2019)

  Around 15% of all monochorionic pregnancies are affected by Twin to Twin Transfusion Syndrome. It involves chronic transfusion between donor twin to recipient twin, leading to an unbalanced growth of fetus due to unequal ...
• Analysis of knowledge acquisition and emotional behaviour related to autism in a 3D virtual reality immersion

  Antunes Bruno, Alejandro (2018)

  Introduction: ASD is a neurological and developmental disorder caused by differences in the brain from typical development individuals. These individuals have difficulties processing auditory and visual information. ...
• Early prediction of Alzheimer’s disease using longitudinal descriptors over MRI data

  Alonso Amado, David (2018)

  Alzheimer’s Disease (AD) is a chronic neurodegenerative disease characterized by memory loss and decline in other cognitive abilities. The neuronal death produces atrophy, which can be observed using Magnetic Resonance ...
• Heart rate variability measuring from facial videos to detect stress

  Garcia Gómez, Guillem (2018)

  The remote measurement of physiology is an interesting topic that has gained relevance in recent years as it can be a promising alternative to traditional methods to detect body signals. In particular, remote ...
• Development of an educational tool for building biomedical devices and analysing the collected data

  Gelabert Xirinachs, Joana (2018)

  Biomedical Engineering is nowadays an emergent and rapidly growing knowledge field. Combining medicine and biology with technology can lead to the creation of lifechanging applications. The Do It Yourself (DIY) community ...
• CEEASY: A guiding tool throughout the medical devices CE marking process. Case study: MiWEndo

  Miralles Estrada, Clàudia (2018)

  The medical device sector has been growing for the last years and it is expected to keep growing. As CE marking is necessary to sell products in Europe, everyday more entrepreneurs need to learn how the CE marking process ...
• Consolidating memory in natural recurrent neuronal networks

  Casal Santiago, Miguel Ángel (2018)

  Neuronal networks provide living organisms with the ability to process information. While artificial neural networks, widely used nowadays in machine learning, are mostly based on a feedforward architecture, natural ...
• Cardiac motion analisys from TAG-MRI using radiomics

  Gándara Jiménez, Minerva (2018)

  Abnormalities in heart wall motion are often related to cardiovascular disease (CVD), the first cause of death worldwide. In this context, tag-MRI imaging technique has the potential to become the gold-standard for ...
• Unsupervised Multiple Kernel Learning to characterize Heart Failure patients considering myocardial mechanics and hemodynamics

  Martí Castellote, Pablo Miki (2018)

  Heart Failure with preserved Ejection Fraction has proven to be a suitable syndrome to be studied with machine learning approaches, as its complexity is not fully captured in clinical guidelines. For this reason, in ...
• Predictive modelling of femur fracture from DXA scans using radiomics and machine learning

  Rodríguez Martín, Raquel (2018)

  Predictive modeling of bone fractures at the hip using DXA images is an important research field due to the capability of this imaging modality to capture osteoporosis related changes in the bone tissues. There exist ...
• Personalization of a biophysically realistic computational model of the brain activity using EEG and MRI data: The first step towards a new generation of virtual experiments on personalized human brain models

  Sanchez Todo, Roser (2018)

  In the present study we present a new modeling approach of a whole-brain network model based on a combination DTI-driven anatomical connectivity of the brain and Jansen and Rit neural mass model. We also propose an ...
• Information processing organization of a biological neural network

  Galella Toledo, Santiago (2018)

  Reservoir computing has been recently proposed as a paradigm of how the brain processes time-dependent complex information. It relies on a recurrent core of neurons, known as the reservoir, that receives and encodes complex ...
• Virtual reality tool to interact with 3D medical images

  Gómez Palacios, Sergio (2018)

  Virtual reality is a powerful tool which offers many possibilities and in the near future, specific virtual reality systems will be a fundamental part of healthcare. In this project a virtual reality tool was developed ...
• Brain structural andfunctional differences between Type II Diabetes Mellitus patients and healthy controls

  Moya Copa, Sergio (2018)

  Type 2 diabetes mellitus (DM2) is related to cognitive impairments and increased risk for dementia. Neuroimaging studies have demonstrated DM2-related brain structural and functional changes which are partly associated ...
• Technical feasibility market study of mobile arm supports for patients with muscle weakness in Spain

  Vilalta Costa, Aaron (2019)

  People with muscle weakness, such as Duchenne muscular dystrophy, can benefit from Mobile Arm Supports (MASs) that assist them to independently perform activities of daily living. Moreover, there is evidence that suggests ...
• EVE: A liquid handling robot based on LEGO Mindstorms

  Fosch Muntané, Ariadna (2019)

  High throughput screening (HTS) has lead to a revolution in research laboratories due to the possibility of performing millions of tests very quickly. The rise of HTS was accompanied by the appearance of the market of ...
• A comparative study of different nonlinear methods for localising seizure onset zone in epilepsy patients from intracranial electroencephalographic recordings.

  Galán Augé, Cristian (2019)

  Most of the epilepsy cases are controlled using medication. Unfortunately, medication sometimes does not provide a sufficient control of seizures. For these cases, epilepsy surgery can be an option which needs the detection ...
• Internal communication standardization at the handoff session as a method to enhance health care quality: The lean methodology applied to gynecological & obstetrics departments

  Cavallé Salvadó, Ester (2019)

  There is little scientific literature published about issues in communication between healthcare professionals in our environment. There is background on the communication between professionals and patients, but in few ...
• Technical validation of an ex vivo diagnostic device for colon polyp classification based on microwaves

  Elosua Bayés, Nerea (2019)

  Colorectal cancer (CRC) is a leading cause of death in developed countries, and early detection is crucial for a favorable prognosis of the patient. To promote and increase this early detection, screening program have ...
• Fetal and neonatal hemodynamic assessment of aortic coarctation - imaging and computational modelling

  Calvet Mirabent, Àngels (2019)

  Aortic Coarctation (AoC) is one of the most difficult cardiac defects to diagnose before birth, occurring in 5-7% of congenital heart diseases. It consists of a narrowing of the distal aortic arch causing a decrease of ...

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