• Development of a protocol aimed at the creation of patient-specific knee geometries and atlases from magnetic resonance images including cartilaginous tissue mapping based on quantitative magnetic resonance images signals

  Stefanizzi, Fabio (2018-07)

  This work cannot be considered to stand alone, in fact it is part of a larger national project called HOLOA, which stands for Holistic Osteoarthritis. In the HOLOA project, the study of Osteoarthritis disease begins with ...
• Design and implementation of a medical education module on in-silico simulations using high-performance computing

  Moya Planas, Núria (2020)

  Outflow tract ventricular arrhythmias (OTVAs) are diagnosed by interpreting suggestive features from 12-lead electrocardiograms (ECGs) and they are commonly treated by radiofrequency ablation (RFA). High success rates ...
• A Mathematical Model to Estimate the Dynamics of the Covid-19 Pandemic Using the Ongoing Public Domain Data

  Saiz Vila, Clàudia (2020-09)

  At the end of December 2019, it was found that a new coronavirus (SARS-CoV-2) was causing pneumonia-like illness in the city of Wuhan, China. This virus started to spread very rapidly causing a global large-scale infection. ...
• Transfer learning for automatic aorta segmentation in 4D-Flow magnetic resonance imaging data

  Aviles Verdera, Jordina (2020)

  The lack of standardized pipelines for image processing, together with the noisy nature of data, challenges the application of deep learning (DL) techniques for the segmentation of cardiovascular structures in 4D-flow ...
• Delivery of plasmid DNA through nanoencapsulation

  Xu, Mengze (2020-06)

  After more than 50 years of investigations, gene therapy has become one of the most promising options for treating genetic diseases. The advances in polymer-based specifically polycation-based, DNA delivery systems have ...
• Nociception Monitors: A comparison based on different clinical cases

  Sainz Rodriguez, Irene (2020-07)

  Maintaining a good level of anesthesia along a surgery is essential both for intraoperative and postoperative outcomes. General anesthesia is a combination of a hypnotic effect, to achieve an unconscious level, and an ...
• Improvement and development of SurgicAR: an intraoperatory Augmented Reality application for Hospital del Mar

  Prieto Gomà, Maria (2020-07)

  In the last decades, the increasing development of novel computer-based technologies has led to the introduction of striking innovations in many fields of medicine. Yet, while imaging has radically evolved, how images ...
• Joint analysis of in-silico haemodynamics and morphological parameters of the left atrial appendage

  Pons Vidal, Maria Isabel (2020-07)

  Atrial fibrillation (AF), which is considered the most common human arrhythmia, drastically increases the risk of stroke. Around 99% of thrombi in non-valvular AF are formed in the left atrial appendage (LAA). The current ...
• Epilepsy surgical outcome prediction based on epileptogenic zone localization with a network competition approach

  Pomés Arnau, Pau (2020-07)

  Nearly one third of all epilepsy patients are not able to control their epileptic seizures with standard epilepsy medication. For these patients, surgical treatment is the main alternative, which consists on the resection ...
• Roadmap for identifying clinical needs in technology-driven innovations: The Senso-eAXON case

  Pascual Durall, Mar (2020-07)

  Innovation in medical technologies has a lot of shapes and comes from a variety of sources. One of the dimensions in which it can be classified is the motor of the innovation, either the market or the technology. Innovation ...
• Simulations of electrode placement intervention with Moveo robotic arm

  Marturià i Navarro, Gerard (2020-07)

  Epilepsy is the fourth most common neurological disorder affecting people of all ages. Despite the principal treatment involving drugs covers a high percentage of the patients suffering from this disease, it is not always ...
• Effect of bilingualism on the cognitive and neuroimaging features of behavioural-variant frontotemporal dementia

  Javierre Pueyo, Paula (2020-07)

  Current research suggests that modifiable lifestyle factors can enhance the “cognitive reserve” and protect against age related cognitive decline. Hence, bilingualism, which is thought to improve executive functions, has ...
• Correlation of speech/non-speech events with photo-plethysmographic (PPG) signal

  Cámbara Ruiz, Guillermo (2019-06)

  The use of photoplethysmogram signal (PPG) for heart monitoring is commonly found nowadays in smartphones and wrist wearables. Besides heart rate or sleep monitoring common usage, it has been proved that information from ...
• Impact of mechanical and fluid mechanisms in the development and severity of pulmonary hypertension

  Gonzalez Martin, Pablo (2020-07)

  Pulmonary hypertension (PH) has become a global health issue that presents multiple factors involved in its development. This complexity induces difficulties for diagnosis and monitoring, leading up to a 47% of imprecise ...
• Design of a wireless EMG simulator for the testing of EMG acquisition devices

  González Resina, Elisa (2020-07)

  Electromyographs (EMG) are records of the electrical activity produced by skeletal muscles contraction. The shape of the EMG contains relevant information about the neuromuscular state of the muscle. EMG signals are obtained ...
• Business plan of Nanotarg: a technological platform aiming to treat pancreatic cancer

  Garriga Ferrer, Martina (2020-07)

  Pharmaceutical industry is one of the most relevant activities and plays a major role in economics and the provision of global health. It is known that the processes of developing new compounds and its entry to the market ...
• The rise of smart hospitals: design and implementation of a decision-making support tool for the Smart ICU of the Vall d’Hebron University Hospital

  Garcia i Morales, Pau (2020-07)

  As new decade begins, healthcare system will continue to face challenges of the past as well as new issues that emerge: prolonged life expectancy along with the increasing complexity of chronic treatment, changing patient ...
• Predicting multi-resistance of bacteria in an Intensive Care Unit

  Hernàndez Carnerero, Àlvar (2020-07)

  This study considers the prediction of “multi-drug” resistance (MDR) of Pseudomonas aeruginosa bacterium caused by nosocomial infections in the Intensive Care Unit (ICU). An ensemble of binary classifiers implemented ...
• Generation of Deepfakes using normalizing flows

  Valenzuela Ramírez, Andrea (2020-07)

  Deepfakes are flooding the internet network with fake synthetic media that cannot be easily distinguished by the human eye. This content can be classified into face synthesis, face swap and facial attribute manipulation. ...
• Criteria for algorithmic fairness metric selection under different supervised classification scenarios

  Breger, Clothilde (2020-09)

  The research community, (supra-)national institutions, and regular users have noticed that Artificial Intelligence and Machine Learning algorithms can amplify existing inequity between groups. One way to limit this is ...

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