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UMC Repository: Recent submissions

  • What Works for Underrepresented Groups?: Identifying Effective Measures for Enhancing Access to Higher Education in Europe 
    Torotcoi, Simona; Gologan, Delia; Kurysheva, Anastasia (Springer, 2020-05)
    Over the last three decades, policy-makers have developed numerous measures, policies, projects and programs with the intention to increase the enrolment and participation of underrepresented groups, however, little is ...
  • Ruby's Mission: Towards an Applied Gaming Intervention for reducing Loneliness of Children with Chronic Illness 
    Alexandridis, Dionysis; Bakkes, Sander C.J.; Nijhof, Sanne L.; Van De Putte, Elise; Veltkamp, Remco C. (Association for Computing Machinery, Inc, 2021-08-03)
    Children with a chronic disease, such as cystic fibrosis or juvenile arthritis, often face obstacles that can have a negative impact on children's physical, social-emotional and cognitive development, beyond the actual ...
  • Urodynamics Techniques and Clinical Applications 
    Wyndaele, Michel; Abrams, Paul (Springer, 2021)
    Urodynamic investigations are indicated when empiric or conservative treatment fails to improve a patient’s lower urinary tract symptoms and invasive treatment is considered. Based on the expected underlying lower urinary ...
  • Active Selection of Classification Features 
    Kok, Thomas T.; Brouwer, Rachel M.; Mandl, Rene M.; Schnack, Hugo G.; Krempl, Georg (Springer Science and Business Media Deutschland GmbH, 2021)
    Some data analysis applications comprise datasets, where explanatory variables are expensive or tedious to acquire, but auxiliary data are readily available and might help to construct an insightful training set. An example ...
  • Quantitative Interpretation of Myocardial Fiber Structure in the Left and Right Ventricle of an Equine Heart Using Diffusion Tensor Cardiovascular Magnetic Resonance Imaging 
    Straatman, Hilke C.H.; van der Schoor, Imke; Froeling, Martijn; Van Steenkiste, Glenn; Holtackers, Robert J.; Delhaas, Tammo (Springer, 2021)
    In this study an equine heart of a 13-year-old Belgian Warmblood is scanned using diffusion tensor magnetic resonance imaging (DT-CMR) to perform quantitative analysis on myocyte orientation in the left and right ventricular ...
  • Multiscale Computational Analysis of the Effect on Heart Rate of a HCN4 Gene Double Mutation: From the Single Channel to the Clinical Phenotype 
    Ricci, E.; Fabbri, A.; Boer, T. P. de; Severi, S. (2020-09-13)
    This work aims to assess: I) the effects of the 1479V/A485E HCN4 channel double mutation (DM), II) the role of cellular coupling (p) and III) the role of cellular heterogeneity (s) on systems of increasing complexity: ionic ...
  • Development, Implementation and Testing of a Multicellular Dynamic Action Potential Clamp Simulator for Drug Cardiac Safety Assessment 
    Fabbri, Alan; Prins, Adrianus; De Boer, Teun P. (IEEE Computer Society, 2020-09-13)
    As drugs can be multichannel blockers it is important to assess their cardiac safety taking into account multiple currents. In silico action potential (AP) models have been proposed for being able to integrate drugs effect ...
  • Primary Intestinal Epithelial Organoid Culture 
    Mizutani, Tomohiro; Clevers, Hans (SpringerHumana Press, 2020)
    The intestinal epithelium is known as one of the most regenerative tissues in our body. The lining of the intestine is composed of a single layer of epithelial cells generated by rapidly renewing stem cells residing at the ...
  • Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation 
    Camarasa, Robin; Bos, Daniel; Hendrikse, Jeroen; Nederkoorn, Paul; Kooi, Eline; van der Lugt, Aad; de Bruijne, Marleen (Springer Science and Business Media Deutschland GmbH, 2020)
    Over the past decade, deep learning has become the gold standard for automatic medical image segmentation. Every segmentation task has an underlying uncertainty due to image resolution, annotation protocol, etc. Therefore, ...
  • Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge 
    Pizzolato, Marco; Palombo, Marco; Bonet-Carne, Elisenda; Tax, Chantal M.W.; Grussu, Francesco; Ianus, Andrada; Bogusz, Fabian; Pieciak, Tomasz; Ning, Lipeng; Larochelle, Hugo; Descoteaux, Maxime; Chamberland, Maxime; Blumberg, Stefano B.; Mertzanidou, Thomy; Alexander, Daniel C.; Afzali, Maryam; Aja-Fernández, Santiago; Jones, Derek K.; Westin, Carl Fredrik; Rathi, Yogesh; Baete, Steven H.; Cordero-Grande, Lucilio; Ladner, Thilo; Slator, Paddy J.; Hajnal, Joseph V.; Thiran, Jean Philippe; Price, Anthony N.; Sepehrband, Farshid; Zhang, Fan; Hutter, Jana (Springer Science and Business Media Deutschland GmbH, 2020)
    In magnetic resonance imaging (MRI), the image contrast is the result of the subtle interaction between the physicochemical properties of the imaged living tissue and the parameters used for image acquisition. By varying ...
  • Induced Pluripotent Stem Cells 
    van Mil, Alain; Neef, Klaus; Balk, Geerthe Margriet; Buikema, Jan Willem; Sluijter, Joost P.G.; Doevendans, PA (Springer International Publishing AG, 2020-09)
    Progress in understanding and treatment of numerous human diseases has been hampered by the lack of representative human in vitro models, especially for diseases in which the affected cell types are difficult to obtain, ...
  • Chapter 48: Erythrocyte Enzyme Disorders 
    Bartels, M; van Beers, Eduard; van Wijk, Richard (McGraw-Hill, 2020)
    Red cells possess an active metabolic machinery that provides energy to pump ions against electrochemical gradients, to maintain red cell shape, to keep hemoglobin iron in the reduced form, and to maintain enzyme and ...
  • Deep Group-Wise Variational Diffeomorphic Image Registration 
    van der Ouderaa, Tycho F.A.; Išgum, Ivana; Veldhuis, Wouter B.; de Vos, Bob D. (Springer Science and Business Media Deutschland GmbH, 2020)
    Deep neural networks are increasingly used for pair-wise image registration. We propose to extend current learning-based image registration to allow simultaneous registration of multiple images. To achieve this, we build ...
  • Biomatrices for heart regeneration and cardiac tissue modelling in vitro 
    Kulvinskiene, I.; Aldonyte, R.; Miksiunas, R.; Mobasheri, A.; Bironaite, Daiva (Springer, 2020)
    Cardiac muscle is the hardest working muscle in the body, pumping approximately 70 g of blood with every heartbeat, circulating 9500 l of blood daily and contracting over 3 billion times during the average human’s life. ...
  • Tomorrow’s teachers today. What universities can do for the teaching profession: LERU paper #27 
    De Graef, Ortwin; Busse, Beatrix; Cahil, Vinny; Rnner Hansen, John; Kluijtmans, Manon (LERULERU, 2020-03-01)
    Pre-university education in Europe is facing serious challenges. One of these is recruiting teachers in STEM1 subjects and lan- guages. Another one is the need to support teachers’ efforts to better prepare their pupils ...
  • Making Sense of Violence Risk Predictions Using Clinical Notes 
    Mosteiro, Pablo; Rijcken, Emil; Zervanou, Kalliopi; Kaymak, Uzay; Scheepers, Floortje; Spruit, Marco (Springer Science and Business Media Deutschland GmbH, 2020)
    Violence risk assessment in psychiatric institutions enables interventions to avoid violence incidents. Clinical notes written by practitioners and available in electronic health records (EHR) are valuable resources that ...
  • How (Not) to Connect Ethics and Economics: Epistemological and Metaethical Problems for the Perfectly Competitive Market 
    Safarlou, Caspar (Springer, 2021)
    This paper addresses Joseph Heath’s attempt to derive moral obligations from the conditions that are specified by the model of the perfectly competitive market. Through his market failures approach to business ethics he ...
  • Cardiovascular diseases 
    Verjans, Johan; Veldhuis, Wouter B.; Carneiro, Gustavo; Wolterink, Jelmer M.; Išgum, Ivana; Leiner, Tim (Springer International Publishing AG, 2019-01-29)
    Cross-sectional imaging techniques—echocardiography, CT, MRI and nuclear medicine—are the diagnostic tools of choice for the diagnosis and workup of cardiovascular disease. Machine learning and deep learning in particular ...
  • Non-coding RNAs in Cardiac Regeneration 
    van der Ven, C. F.T.; Hogewoning, B. C.R.; van Mil, A.; Sluijter, Joost P.G. (Springer SingaporeSpringer, 2020)
    Cardiovascular disease is a leading cause of death worldwide, and with the dramatically increasing numbers of heart failure patients in the next 10 years, mortality will only increase [1]. For patients with end-stage heart ...
  • Designing motivating interactive balance and walking training for stroke survivors 
    Magnusson, C.; Ólafsdóttir, S. A.; Caltenco, H.; Rassmus-Gröhn, K.; Hafsteinsdottir, T.; Jónsdóttir, H.; Hjaltadóttir, I.; Rydeman, B. (Association for Computing Machinery, Inc, 2019-05-20)
    In the ActivAbles and STARR projects we are developing interactive training tools for stroke survivors. Our initial user studies pointed to balance being a key ability, therefore one of the developed tools is an interactive ...