Lista de publicações - HES SO Valais Publications

Riccardo Bonazzi and Vincent Grèzes, Co-Utility : Theory and Applications., capítulo United We Stand: Exploring the Notion of Cooperation Support System for Business Model Design, páginas 167 - 188, Springer, Studies in Systems, Decision and Control, volume 110, 2018

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Cristina Simon-Martinez, Lisa Mailleux, Els Ortibus, Anna Fehrenbach, Giuseppina Sgandurra, Giovanni Cioni, Kaat Desloovere, Nicole Wenderoth, Philippe Demaerel, Stefan Sunaert, Guy Molenaers, Hilde Feys and Katrijn Klingels, Combining constraint-induced movement therapy and action-observation training in children with unilateral cerebral palsy: a randomized controlled trial (2018), in: BMC Pediatrics, 18:1(250)

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Vincent Grèzes and Sandra Grèzes, Comment innover "ensemble" ? Diagnostic de l’innovation collaborative., TEDxMartigny - Espace innovation, 2018

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Sandra Belalcazar, Hernan Rios, Vanessa Carpio, Oscar Perdomo, Claudia Carvajal, Fabio Gonzalez and Henning Müller, Convolutional Neural Networks for identification and classification of optic nerve damage features, in: ARVO Annual meeting, Honolulu, HI, USA, 2018

Cristina Simon-Martinez, Ellen Jaspers, Lisa Mailleux, Els Ortibus, Katrijn Klingels, Nicole Wenderoth and Hilde Feys, Corticospinal Tract Wiring and Brain Lesion Characteristics in Unilateral Cerebral Palsy: Determinants of Upper Limb Motor and Sensory Function (2018), in: Neural Plasticity, 2018(1--13)

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Gianluca Rizzo and Antonio J Jara, Creating predictive models for forecasting the accident rate in mountain roads using VANETs, in: International Conference on Information Technology & Systems (ICITS 2018), Esmeralda, Ecuador, Springer, 2018

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Manfredo Atzori, Data variability as a challenge to improve classification and retrieval in digital pathology, in: MICCAI, Computational Pathology Workshop (COMPAY), Granada (Spain), 2018

Jerome Treboux, Dominique Genoud and Rolf Ingold, Decision Tree Ensemble vs. N.N. Deep Learning: Efficiency Comparison for a Small Image Dataset, Jakarta, Indonesia, Inproceedings of the 2018 International Workshop on Big Data and Information Security, 2018

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Genevieve Cheau Yann Chan, Shah Syed Ayaz Ali, Henning Müller and Fabrice Meriaudeau, Deep Features and Data Reduction for Classification of SD-OCT Images: Application to Diabetic Macular Edema, in: ICIAS 2018, Kuala Lumpur, Malaysia, 2018

Sebastian Otalora, Roger Schaer, Manfredo Atzori, Oscar Jimenez del Toro and Henning Müller, Deep learning based retrieval system for gigapixel histopathology cases and open access literature (2018), in: BioArXiv

Vincent Andrearczyk and Henning Müller, Deep Multimodal Classification of Image Types in Biomedical Journal Figures, in: CLEF 2018, Avignon, France, Springer, 2018

Pierre Vanhulst, Florian Evéquoz, Raphaël Tuor and Denis Lalanne, Designing a Classification for User-Authored Annotations in Data Visualization, páginas 85-96, 2018

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Sebastian Otalora, Oscar Perdomo, Manfredo Atzori, Mats Andersson, Martin Hedlund and Henning Müller, Determining the scale of image patches using a deep learning approach, in: IEEE International Symposium on Biomedical Imaging (ISBI), Washington, DC, USA, 2018

Tommaso Banzato, Marco Bernardini, Marco Cherubini, Bruto Giunio, Manfredo Atzori and Alessandro Zotti, Development of a Deep Convolutional Neural Network to Predict the Grading of Canine Meningiomas from MR images (2018), in: The veterinary journal, 235(90-92)

Ivan Eggel, Roger Schaer and Henning Müller, Distributed container-based evaluation platform for private/large datasets, in: ISPDC 2018, Geneva, Switzerland, 2018

Alevtina Dubovitskaya, Davide Calvaresi and Michael Schumacher, Essais Clinique Multicentriques: Transparence et Contrôle de la Qualité Grâce à la Blockchain et aux Systèmes Multi-Agents (2018), in: Swiss Medical Informatics 2018(32)

Frank Hopfgartner, Allan Hanbury, Henning Müller, Krisztian Balog, Torben Brodt, Gordon V. Cormack, Ivan Eggel, Tim Gollub, Jayashree Kalpathy-Cramer, Noriko Kando, Anastasia Krithara, Jimmy Lin, Simon Mercer and Martin Potthast, Evaluation-as-a-Service for the Computational Sciences: Overview and Outlook (2018), in: Journal of Data and Information Quality

Stefan Eggenschwiler, Michael Barry and René Schumann, Exploring effects of parameter configuration on runtime, using mathematical solvers, in: Proceedings of the 31. Workshop "Planen, Scheduling und Konfigurieren, Entwerfen" (PuK 2018), 2018

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Michael T. McCann, Vincent Andrearczyk, Michael Unser and Adrien Depeursinge, Fast Rotational Sparse Coding (2018)(arXiv:1806.04374)

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Yashin Dicente Cid, Oscar Jimenez del Toro, Alexandra Platon, Henning Müller and Pierre-Alexandre Poletti, From Local to Global: A Holistic Lung Graph Model, in: MICCAI 2018, Granada, Spain, 2018

Genevieve Cheau Yann Chan, Ravi Kamble, Syed Ayaz Ali Shah, Cheng-Kai Lu, Tong Boon Tang, Henning Müller, T. B. Tang and Fabrice Meriaudeau, Fusion of Deep Learning Architectures for Automatic Classification of Normal and Diabetic Macular Edema (DME) Detection on Optical Coherence Tomography (OCT) Images, in: EMBC 2018, Honolulu, HI, USA, 2018

Marije Goudriaan, Marleen {Van den Hauwe}, Cristina Simon-Martinez, Catherine Huenaerts, Guy Molenaers, Nathalie Goemans and Kaat Desloovere, Gait deviations in Duchenne muscular dystrophy—Part 2. Statistical non-parametric mapping to analyze gait deviations in children with Duchenne muscular dystrophy (2018), in: Gait and Posture, 63(159--164)

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Oscar Perdomo, Vincent Andrearczyk, Fabrice Meriaudeau, Henning Müller and Fabio A. Gonzalez, Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation, in: OMIA at MICCAI, Granada, Spain, 2018

Valentino Piana, Green Mobility, capítulo National scenarios of accelerated decarbonization of mobility and transport, Edizioni Ambiente, 2018

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Valentino Piana, Green Mobility, capítulo La sfida di Share'ngo, Edizioni Ambiente, 2018

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Valentino Piana and Tony Urbani, Grey networks for green: il potenziale delle reti per la terza età in risposta alle sfide ambientali (2018), in: PRISMA, Economia Società Lavoro, 8:1-2

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Ellen Jaspers, Katrijn Klingels, Cristina Simon-Martinez, Hilde Feys, Daniel Graham Woolley and Nicole Wenderoth, GriFT: A Device for Quantifying Physiological and Pathological Mirror Movements in Children (2018), in: IEEE Transactions on Biomedical Engineering, 65:4(857--865)

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Matteo Cognolato, Manfredo Atzori, Diego Faccio, Cesare Tiengo, Franco Bassetto, Roger Gassert and Henning Müller, Hand Gesture Classification in Transradial Amputees Using the Myo Armband Classifier, in: 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob), Enschede, The Netherlands, páginas 156 - 161, 2018

Matteo Cognolato, Manfredo Atzori and Henning Müller, Head-mounted eye gaze tracking devices: An overview of modern devices and recent advances (2018), in: Journal of Rehabilitation and Assistive Technologies Engineering, 5

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Magali Fröhlich, Christophe Bolinhas, Adrien Depeursinge, Antoine Widmer, Nicolas Chevrey, Patric Hagmann, Christian Simon, Vivianne Kokje and Stéphane Gobron, Holographic visualisation and interaction of fused CT, PET and MRI volumetric medical imaging data using dedicated remote GPGPU ray casting, in: Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, páginas 102-110, Springer International Publishing, 2018

Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Stolz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Franji, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michael Konubek, Bennett A Landman, Keno Mars, Oskar Maier, Klaus Maier-Hain, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro Niessen, Nasir Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider and Lena Maier-Hein, How can we do better? Pitfalls in biomedical challenge design and how to address them, in: MICCAI workshop LABELS, 2018

A. Reinke, Matthias Eisenmann, S. Onogur, M. Stankovic, P Scholz, H. Bogunovic, B. A. Landman, O. Maier, B. Menze, G. Sharp, K. Sirinukunwattana, S. Speidel, F. van der Sommen, G. Zheng, P. Full, Henning Müller, M. Kozubek, T. Arbel, A. P. Bradley, P. Jannin, A. Kopp-Schneider and Lena Maier-Hein, How to exploit weaknesses in biomedical challenge design and organization, in: MICCAI 2018, Granada, Spain, Springer, 2018

Zhan Liu, Shaban Shabani, Nicole Glassey Balet, Sokhn Maria and Fabian Cretton, How to motivate participation and improve quality of crowdsourcing when building accessibility maps, in: 3th International Workshop on Accessible Devices and Services in the 15th Conference of IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, USA, IEEE, 2018

[]: Best Paper Award

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Antonio J Jara, Joanna Alvarado-Uribe, Andrea Gomez Oliva and Miguel Gonzalez-Mendoza, HyRA: A Hybrid Recommendation Algorithm Focused on Smart POI. Ceutí as a Study Scenario (2018), in: Sensors

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tempo de processamento: 2.3249 segundos.