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Università della Svizzera italiana

Space–time shape uncertainties in the forward and inverse problem of electrocardiography

Gander, Lia ; Krause, Rolf ; Multerer, Michael ; Pezzuto, Simone

In: International journal for numerical methods in biomedical engineering, 2021, vol. 37, no. 10, p. 23

In electrocardiography, the “classic” inverse problem is the reconstruction of electric potentials at a surface enclosing the heart from remote recordings at the body surface and an accurate description of the anatomy. The latter being affected by noise and obtained with limited resolution due to clinical constraints, a possibly large uncertainty may be perpetuated in the inverse ...

Università della Svizzera italiana

RepliComment : Identifying clones in code comments

Blasi, Arianna ; Stulova, Nataliia ; Gorla, Alessandra ; Nierstrasz, Oscar

In: Journal of systems and software, 2021, vol. 182, p. 14

Code comments are the primary means to document implementation and facilitate program comprehension. Thus, their quality should be a primary concern to improve program maintenance. While much effort has been dedicated to detecting bad smells, such as clones in code, little work has focused on comments. In this paper we present our solution to detect clones in comments that developers should...

Università della Svizzera italiana

Artificial intelligence in thyroid field : a comprehensive review

Bini, Fabiano ; Pica, Andrada ; Azzimonti, Laura ; Giusti, Alessandro ; Ruinelli, Lorenzo ; Marinozzi, Franco ; Trimboli, Pierpaolo

In: Cancers, 2021, vol. 13, no. 19, p. 18

Artificial intelligence (AI) uses mathematical algorithms to perform tasks that require human cognitive abilities. AI-based methodologies, e.g., machine learning and deep learning, as well as the recently developed research field of radiomics have noticeable potential to transform medical diagnostics. AI-based techniques applied to medical imaging allow to detect biological abnormalities, to...

Università della Svizzera italiana

A new constructive heuristic driven by machine learning for the traveling salesman problem

Mele, Umberto Junior ; Gambardella, Luca Maria ; Montemanni, Roberto

In: Algorithms, 2021, vol. 14, no. 9, p. 25

Recent systems applying Machine Learning (ML) to solve the Traveling Salesman Problem (TSP) exhibit issues when they try to scale up to real case scenarios with several hundred vertices. The use of Candidate Lists (CLs) has been brought up to cope with the issues. A CL is defined as a subset of all the edges linked to a given vertex such that it contains mainly edges that are believed to be...

Università della Svizzera italiana

Network theory and switching behaviors : a user guide for analyzing electronic records databases

Gronchi, Giorgio ; Raglianti, Marco ; Giovannelli, Fabio

In: Future internet, 2021, vol. 13, no. 9, p. 12

As part of studies that employ health electronic records databases, this paper advocates the employment of graph theory for investigating drug-switching behaviors. Unlike the shared approach in this field (comparing groups that have switched with control groups), network theory can provide information about actual switching behavior patterns. After a brief and simple introduction to...

Università della Svizzera italiana

Large scale simulation of pressure induced phase-field fracture propagation using Utopia

Zulian, Patrick ; Kopaničáková, Alena ; Nestola, Maria Giuseppina Chiara ; Fink, Andreas ; Fadel, Nur Aiman ; VandeVondele, Joost ; Krause, Rolf

In: CCF transactions on high performance computing, 2021, no. 3, p. 407–426

Non-linear phase field models are increasingly used for the simulation of fracture propagation problems. The numerical simulation of fracture networks of realistic size requires the efficient parallel solution of large coupled non-linear systems. Although in principle efficient iterative multi-level methods for these types of problems are available, they are not widely used in practice due to...

Università della Svizzera italiana

Dexamethasone induces changes in osteogenic differentiation of human mesenchymal stromal cells via SOX9 and PPARG, but not RUNX2

Della Bella, Elena ; Buetti-Dinh, Antoine ; Licandro, Ginevra ; Ahmad, Paras ; Basoli, Valentina ; Alini, Mauro ; Stoddart, Martin J.

In: International journal of molecular sciences, 2021, vol. 22, no. 9, p. 16

Despite the huge body of research on osteogenic differentiation and bone tissue engineering, the translation potential of in vitro results still does not match the effort employed. One reason might be that the protocols used for in vitro research have inherent pitfalls. The synthetic glucocorticoid dexamethasone is commonly used in protocols for trilineage differentiation of human bone marrow...

Università della Svizzera italiana

Block-enhanced precision matrix estimation for large-scale datasets

Eftekhari, Aryan ; Pasadakis, Dimosthenis ; Bollhöfer, Matthias ; Scheidegger, Simon ; Schenk, Olaf

In: Journal of computational science, 2021, vol. 53, p. 13

The ℓ1-regularized Gaussian maximum likelihood method is a common approach for sparse precision matrix estimation, but one that poses a computational challenge for high-dimensional datasets. We present a novel ℓ1- regularized maximum likelihood method for performant large-scale sparse precision matrix estimation utilizing the block structures in the underlying computations. We identify the...

Università della Svizzera italiana

GEASI : Geodesic-based earliest activation sites identification in cardiac models

Grandits, Thomas ; Effland, Alexander ; Pock, Thomas ; Krause, Rolf ; Plank, Gernot ; Pezzuto, Simone

In: International journal for numerical methods in biomedical engineering, 2021, vol. 37, no. 8, p. 30

The identification of the initial ventricular activation sequence is a critical step for the correct personalization of patient- specific cardiac models. In healthy conditions, the Purkinje network is the main source of the electrical activation, but under pathological conditions the so-called earliest activation sites (EASs) are possibly sparser and more localized. Yet, their number, location...

Università della Svizzera italiana

New shape control tools for rational Bézier curve design

Ramanantoanina, Andriamahenina ; Hormann, Kai

In: Computer aided geometric design, 2021, vol. 88, p. 11

Bézier curves are indispensable for geometric modelling and computer graphics. They have numerous favourable properties and provide the user with intuitive tools for editing the shape of a parametric polynomial curve. Even more control and flexibility can be achieved by associating a shape parameter with each control point and considering rational Bézier curves, which comes with the...