Henning Müller
University of Applied Sciences Western Switzerland
Publications 484
#1Ladislav Hluchy (SAV: Slovak Academy of Sciences)H-Index: 12
#2Martin Bobák (SAV: Slovak Academy of Sciences)H-Index: 2
Last.Nils gentschen FeldeH-Index: 5
view all 24 authors...
Exascale services bring new unique challenges that the current computational, big data and workflow solutions are unable to meet. The chapter includes a detailed description of selected exascale services with known state of the art in extreme date solutions. The integration of requirements and the analysis of the state of the art in the exascale field is centered in on a description of a high-level architectural approach. The next main contribution of the paper is the description of the architec...
#1Francesca Stival (UNIPD: University of Padua)H-Index: 1
#2Stefano Michieletto (UNIPD: University of Padua)H-Index: 6
Last.Manfredo Atzori (University of Applied Sciences Western Switzerland)H-Index: 10
view all 6 authors...
Background A proper modeling of human grasping and of hand movements is fundamental for robotics, prosthetics, physiology and rehabilitation. The taxonomies of hand grasps that have been proposed in scientific literature so far are based on qualitative analyses of the movements and thus they are usually not quantitatively justified.
#1Lena Maier-Hein (DKFZ: German Cancer Research Center)H-Index: 20
#2Matthias Eisenmann (DKFZ: German Cancer Research Center)H-Index: 4
Last.Aaron Carass (Johns Hopkins University)H-Index: 19
view all 38 authors...
In the original version of this Article the values in the rightmost column of Table 1 were inadvertently shifted relative to the other columns. This has now been corrected in the PDF and HTML versions of the Article.
#1Dmitry Cherezov (USF: University of South Florida)H-Index: 2
#2Dmitry B. Goldgof (USF: University of South Florida)H-Index: 43
Last.Adrien Depeursinge (EPFL: École Polytechnique Fédérale de Lausanne)H-Index: 8
view all 7 authors...
We propose an approach for characterizing structural heterogeneity of lung cancer nodules using Computed Tomography Texture Analysis (CTTA). Measures of heterogeneity were used to test the hypothesis that heterogeneity can be used as predictor of nodule malignancy and patient survival. To do this, we use the National Lung Screening Trial (NLST) dataset to determine if heterogeneity can represent differences between nodules in lung cancer and nodules in non-lung cancer patients. 253 participants ...
#1Néstor J. Jarque-Bou (James I University)H-Index: 3
#2Alessandro Scano (National Research Council)H-Index: 5
Last.Henning Müller (University of Geneva)H-Index: 42
view all 4 authors...
Hand grasp patterns require complex coordination. The reduction of the kinematic dimensionality is a key process to study the patterns underlying hand usage and grasping. It allows to define metrics for motor assessment and rehabilitation, to develop assistive devices and prosthesis control methods. Several studies were presented in this field but most of them targeted a limited number of subjects, they focused on postures rather than entire grasping movements and they did not perform separate a...
#1Lena Maier-Hein (DKFZ: German Cancer Research Center)H-Index: 20
#2Annika ReinkeH-Index: 2
Last.Sinan OnogurH-Index: 2
view all 0 authors...
The number of biomedical image analysis challenges organized per year is steadily increasing. These international competitions have the purpose of benchmarking algorithms on common data sets, typically to identify the best method for a given problem. Recent research, however, revealed that common practice related to challenge reporting does not allow for adequate interpretation and reproducibility of results. To address the discrepancy between the impact of challenges and the quality (control), ...
#1Manfredo Atzori (University of Applied Sciences Western Switzerland)H-Index: 10
#2Henning Müller (University of Geneva)H-Index: 42
Motivation: Hand amputations can dramatically affect the quality of life of a person. Researchers are developing surface electromyography and machine learning solutions to control dexterous and robotic prosthetic hands, however long computational times can slow down this process. Objective: This paper aims at creating a fast signal feature extraction algorithms that can extract widely used features and allow researchers to easily add new ones. Methods: The code extracts the signal features from ...
#1Alexis JolyH-Index: 3
#2Hervé GoëauH-Index: 4
Last.Willem-Pier VellingaH-Index: 6
view all 11 authors...
Building accurate knowledge of the identity, the geographic distribution and the evolution of living species is essential for a sustainable development of humanity, as well as for biodiversity conservation. Unfortunately, such basic information is often only partially available for professional stakeholders, teachers, scientists and citizens, and often incomplete for ecosystems that possess the highest diversity. In this context, an ultimate ambition is to set up innovative information systems r...
#1Oscar Perdomo (National University of Colombia)H-Index: 3
Last.Fabio A. González (National University of Colombia)H-Index: 28
view all 7 authors...
Abstract Background and objectives: Spectral Domain Optical Coherence Tomography (SD-OCT) is a volumetric imaging technique that allows measuring patterns between layers such as small amounts of fluid. Since 2012, automatic medical image analysis performance has steadily increased through the use of deep learning models that automatically learn relevant features for specific tasks, instead of designing visual features manually. Nevertheless, providing insights and interpretation of the predictio...