• How to handle health-related small imbalanced data in machine learning?

  Rauschenberger, Maria; Baeza Yates, Ricardo (De Gruyter, 2020)

  When discussing interpretable machine learning results, researchers need to compare them and check for reliability, especially for health-related data. The reason is the negative impact of wrong results on a person, such ...
• The creative drummer: an eeg-based pilot study on the correlates of emotions and creative drum playing

  Ramírez, Rafael,1966-; Reija, Xavier (MDPI, 2023)

  It is reasonable to assume that emotional processes are involved in creative tasks and the generation of creative ideas. In this pilot study, we investigate the emotional correlates in professional drummers during different ...
• Challenging social media threats using collective well-being-aware recommendation algorithms and an educational virtual companion

  Ognibene, Dimitri; Wilkens, Rodrigo; Taibi, Davide; Hernández Leo, Davinia; Kruschwitz, Udo; Donabauer, Gregor; Theophilou, Emily; Lomonaco, Francesco; Bursic, Sathya; Lobo, René; Sánchez Reina, Jesús Roberto; Scifo, Lidia; Schwarze, Veronica; Börsting, Johanna; Hoppe, Ulrich; Aprin, Farbod; Malzahn, Nils; Eimler, Sabrina (Frontiers, 2023)

  Social media have become an integral part of our lives, expanding our interlinking capabilities to new levels. There is plenty to be said about their positive effects. On the other hand, however, some serious negative ...
• MITEA: a dataset for machine learning segmentation of the left ventricle in 3D echocardiography using subject-specific labels from cardiac magnetic resonance imaging

  Zhao, Debbie; Ferdian, Edward; Maso Talou, Gonzalo Daniel; Quill, Gina M.; Gilbert, Kathleen; Wang, Vicky Y.; Babarenda Gamage, Thiranja Prasad; Pedrosa, João; D’hooge, Jan; Sutton, Timothy M.; Lowe, Boris S.; Legget, Malcolm E.; Ruygrok, Peter N.; Doughty, Robert N.; Camara, Oscar; Young, Alistair A.; Nash, Martyn P. (Frontiers, 2023)

  Segmentation of the left ventricle (LV) in echocardiography is an important task for the quantification of volume and mass in heart disease. Continuing advances in echocardiography have extended imaging capabilities into ...
• Domain expert evaluation of advanced visual computing solutions and 3D printing for the planning of the left atrial appendage occluder interventions

  Mill, Jordi; Montoliu, Helena; Moustafa, Abdel-Hakim; Olivares, Andy L.; Albors, Carlos; Aguado, Ainhoa M.; Medina, Elodie; Ceresa, Mario; Freixa, Xavier; Arzamendi, Dabit; Cochet, Hubert; Camara, Oscar (Whioce, 2023)

  Advanced visual computing solutions and three-dimensional (3D) printing are moving from engineering to clinical pipelines for training, planning, and guidance of complex interventions. 3D imaging and rendering, virtual ...
• Satisfacción corporal y uso de pantallas en escolares españoles

  Sánchez Reina, Jesús Roberto; Jiménez-Morales, Mònika; Montaña-Blasco, Mireia (Universitat d'Alacant, 2023)

  El uso de pantallas entre los menores ha aumentado drásticamente en los últimos años. Aunque el consumo mediático es considerado un factor influyente en la satisfacción corporal infantil, la relación entre el consumo de ...
• Assessing the coupling between local neural activity and global connectivity fluctuations: application to human intracranial electroencephalography during a cognitive task

  Vila-Vidal, Manel, 1991-; Khawaja, Mariam; Carreño, Mar; Roldán, Pedro; Rumià, Jordi; Donaire, Antonio; Deco, Gustavo; Tauste Campo, Adrià, 1982- (Wiley, 2023)

  Cognitive-relevant information is processed by different brain areas that cooperate to eventually produce a response. The relationship between local activity and global brain states during such processes, however, remains ...
• Toward naturalistic neuroscience: Mechanisms underlying the flattening of brain hierarchy in movie-watching compared to rest and task

  Kringelbach, Morten L.; Sanz Perl, Yonatan; Tagliazucchi, Enzo; Deco, Gustavo (American Association for the Advancement of Science (AAAS), 2023)

  Identifying the functional specialization of the brain has moved from using cognitive tasks and resting state to using ecological relevant, naturalistic movies. We leveraged a large-scale neuroimaging dataset to directly ...
• Lung function in young adults born small for gestational age at term

  Vellvé, Kilian; Sepúlveda-Martínez, Álvaro; Rodríguez López, Mérida; Crovetto, Francesca; Bernardino, Gabriel; Burgos, Felip; Faner, Rosa; Agustí, Àlvar; Bijnens, Bart; Gratacós Solsona, Eduard; Crispi, Fàtima; Blanco, Isabel (Wiley, 2023)

  Moderate to extreme prematurity is associated with lower lung function in adults1 while evidence is poorer and controversial for late prematurity.2 Likewise, the potential long-term impact on adult lung function of being ...
• Distributed harmonic patterns of structure-function dependence orchestrate human consciousness

  Luppi, Andrea I.; Vohryzek, Jakub; Kringelbach, Morten L.; Martinez Mediano, Pedro Antonio; Adapa, Ram; Carhart-Harris, Robin L.; Roseman, Leor; Pappas, Ioannis; Peattie, Alexander R. D.; Manktelow, Anne E.; Sahakian, Barbara J.; Finoia, Paola; Williams, Guy B.; Allanson, Judith; Pickard, John D.; Menon, David K.; Atasoy, Selen; Stamatakis, Emmanuel A. (Nature Research, 2023)

  A central question in neuroscience is how consciousness arises from the dynamic interplay of brain structure and function. Here we decompose functional MRI signals from pathological and pharmacologically-induced perturbations ...
• Towards assisted electrocardiogram interpretation using an AI-enabled Augmented Reality headset

  Lampreave, Paula; Jimenez-Perez, Guillermo; Sanz-Pérez, Isidro; Gomez, Alberto; Camara, Oscar (Taylor & Francis, 2021)

  The interpretation of electrocardiograms (ECGs) is key for the diagnosis and monitoring of cardiovascular health. Despite the progressive digital transformation in healthcare, it is still common for clinicians to analyse ...
• Network-based modelling of mechano-inflammatory chondrocyte regulation in early osteoarthritis

  Segarra-Queralt, Maria; Piella Fenoy, Gemma; Noailly, Jérôme (Frontiers, 2023)

  Osteoarthritis (OA) is a debilitating joint disease characterized by articular cartilage degradation, inflammation and pain. An extensive range of in vivo and in vitro studies evidences that mechanical loads induce changes ...
• A deep-learning based framework for source separation, analysis, and synthesis of choral ensembles

  Chandna, Pritish; Cuesta, Helena; Petermann, Darius; Gómez Gutiérrez, Emilia, 1975- (Frontiers, 2022)

  Choral singing in the soprano, alto, tenor and bass (SATB) format is a widely practiced and studied art form with significant cultural importance. Despite the popularity of the choral setting, it has received little attention ...
• Iconicity in sign language production: task matters

  Gimeno-Martínez, Marc; Baus, Cristina (Elsevier, 2022)

  The present study explored the influence of iconicity on sign lexical retrieval and whether it is modulated by the task at hand. Lexical frequency was also manipulated to have an index of lexical processing during sign ...
• Interactive VPL-based global illumination on the GPU using fuzzy clustering

  Colom, Arnau; Marques, Ricardo; Santos, Luís Paulo (Elsevier, 2022)

  Physically-based synthesis of high quality imagery, including global illumination light transport phenomena, results in a significant workload, which makes interactive rendering a very challenging task. We propose a VPL-based ...
• Smoothing policies and safe policy gradients

  Papini, Matteo; Pirotta, Matteo; Restelli, Marcello (Springer, 2022)

  Policy gradient (PG) algorithms are among the best candidates for the much-anticipated applications of reinforcement learning to real-world control tasks, such as robotics. However, the trial-and-error nature of these ...
• Multilabel prototype generation for data reduction in k-nearest neighbour classification

  Valero-Mas, Jose J.; Gallego, Antonio Javier; Alonso-Jiménez, Pablo; Serra, Xavier (Elsevier, 2023)

  Prototype Generation (PG) methods are typically considered for improving the efficiency of the k-Nearest Neighbour (kNN) classifier when tackling high-size corpora. Such approaches aim at generating a reduced version of ...
• Infants’ representation of asymmetric social influence

  Bas, Jesús, 1990-; Sebastián Gallés, Núria; Csibra, Gergely; Mascaro, Olivier (Elsevier, 2023)

  In social groups, some individuals have more influence than others, for example, because they are learned from or because they coordinate collective actions. Identifying these influential individuals is crucial to learn ...
• Dynamic sensitivity analysis: defining personalised strategies to drive brain state transitions via whole brain modelling

  Vohryzek, Jakub; Cabral, Joana; Castaldo, Francesca; Sanz-Perl, Yonatan; Lord, Louis-David; Fernandes, Henrique M.; Litvak, Vladimir; Kringelbach, Morten L.; Deco, Gustavo (Elsevier, 2023)

  Traditionally, in neuroimaging, model-free analyses are used to find significant differences between brain states via signal detection theory. Depending on the a priori assumptions about the underlying data, different ...
• Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders

  Cetin, Irem; Stephens, Maialen; Camara, Oscar; González Ballester, Miguel Ángel, 1973- (Elsevier, 2023)

  Deep learning (DL) methods where interpretability is intrinsically considered as part of the model are required to better understand the relationship of clinical and imaging-based attributes with DL outcomes, thus facilitating ...

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