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David Giauque und Barbara Pfister, La Nouvelle-Zélande ou le sens profond d'une défaite en rugby (1999), in: Le Temps, ""(12 - 12)

Mara Graziani, Vincent Andrearczyk und Henning Müller, Regression Concept Vectors for Bidirectional Explanations in Histopathology (2018), in: Lecture Notes in Computer Science, Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2018(8)

[]: Best paper award

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Carol Peters, Theodora Tsikrika, Henning Müller, Jayashree Kalpathy-Cramer, Gareth Jones, Julio Gonzalo und Barbara Caputo, Multilingual Information Access Vol. II Multimedia Experiments (2010), in: Lecture Notes in Computer Science, 6242

[]: Impact Factor: 0.402 (2005)

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Tobias Gass, Antoine Geissbuhler und Henning Müller, Learning a frequency-based weighting for medical image classification (2008), in: Lecture Notes in Computer Science (LNCS), 4987(99-108)

[]: Impact Factor: 0.402 (2005)

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Rafael Matos-Wasem, Can "slow tourism" bring new life to Alpine regions (2002), in: Leisure Futures: acte du colloque, Centre for Tourism and Service Economics, University of Innsbruck(254-263)

David Giauque, Gestion des ressources humaines et modernisation des administrations publiques (2004), in: Les Politiques Sociales (numéro spécial dirigé par F. Varone et J.-M. Bonvin sur la nouvelle gestion publique), nos 1 & 2(47 - 62)

Rafael Matos-Wasem, Les "villes tentaculaires" ne sont rien sans le monde rural (2009), in: Les Ruralités, www.ruralites.ch (29 juillet 2009)

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Rafael Matos-Wasem, L'urbanisation de la vallée du Rhône conduira-t-elle à un nouveau rapport entre les Valaisans et leur fleuve? (2009), in: Les Urbanités (rubrique Les invités)

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Vincent Grèzes, Lionel Emery, Antoine Perruchoud und Roland Schegg, Le crowdfunding : une opportunité pour le tourisme (2015), in: Livre Blanc : le crowdfunding en Suisse 2015(33-34)

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Elena Burri und Jean Christophe Loubier, Modélisation spatiale de la dynamique de peuplement du Plateau Suisse au Néolithique (2011), in: M@ppemonde, 101

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Jean Christophe Loubier, Changement climatique et domaines skiables: Simulation en Savoie et Haute-Savoie à l'horizon 2015 (2007), in: M@ppemonde, 85

Mara Graziani, Sebastian Otalora, Stéphane Marchand-Maillet, Henning Müller und Vincent Andrearczyk, Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs To Improve Generalization (2023), in: Machine Learning for Biomedical Imaging (MELBA), 2

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Valérie Barbey, Piloter ou contrôler (2005), in: Management & Qualité, ""

Valérie Barbey, La gestion par objectifs, Un instrument de gestion politique. Stratégique et opérationnel (2003), in: Management & Qualité, ""

Julio Gómez-Soriano, Javier Abián-Vicén, Carlos Aparicio-García, Pilar Ruiz-Lázaro, Cristina Simon-Martinez, Elisabeth Bravo-Esteban und José Manuel Fernández-Rodríguez, Corrigendum to “The effect of kinesio taping on muscle tone in healthy subjects: A double-blind, placebo-controlled crossover trial” [Man Ther 19 (2014) 131–136] (2014), in: Manual Therapy, 19:5(508)

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Julio Gómez-Soriano, Javier Abián-Vicén, Carlos Aparicio-García, Pilar Ruiz-Lázaro, Cristina Simon-Martinez, Elisabeth Bravo-Esteban und José Manuel Fernández-Rodríguez, The effects of Kinesio taping on muscle tone in healthy subjects: a double-blind, placebo-controlled crossover trial. (2014), in: Manual therapy, 19:2(131--6)

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Henning Müller und Adrien Depeursinge, La recherche d’images en plusieurs dimensions (2011), in: Market/IBCom

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Leandro Marin, Antonio J Jara und Antonio Gomez Skarmeta, Shifting primes: Optimizing elliptic curve cryptography for 16-bit devices without hardware multiplier (2013), in: Mathematical and Computer Modelling

Davide Calvaresi, Jean-Paul Calbimonte, Enrico Siboni, Stefan Eggenschwiler, Gaetano Manzo, Roger Hilfiker und Michael Schumacher, EREBOTS: Privacy-Compliant Agent-Based Platform for Multi-Scenario Personalized Health-Assistant Chatbots (2021), in: MDPI - Electronics, Special Issue "Autonomous Agents and Multi-Agent Systems Applied in Healthcare"

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Elia Pacioni, Eugenio Abengózar, Miguel Macías Macías, Carlos J García Orellana, Ramón Gallardo und Horacio M González Velasco, Towards intelligent pruning of vineyards by direct detection of cutting areas (2025), in: MDPI Agriculture, Digital Agriculture

Anastasiia Rozhyna, Gábor Márk Somfai, Manfredo Atzori, Delia Cabrera DeBuc, Amr Saad, Jay Zoellin und Henning Müller, Exploring Publicly Accessible Optical Coherence Tomography Datasets: A Comprehensive Overview (2024), in: MDPI Diagostics

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Victor H. Contreras, Niccolò Marini, Lora Fanda, Gaetano Manzo, Yazan Mualla, Jean-Paul Calbimonte, Michael Schumacher und Davide Calvaresi, A DEXiRE for Extracting Propositional Rules from Neural Networks via Binarization (2022), in: MDPI Electronics, 11:24

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Dorokhova Marina, Jérémie Vianin, Jean-Marie Alder, Christophe Ballif, Wyrch. Nicolas und David Wannier, A Blockchain-Supported Framework for Charging Management of Electric Vehicles (2021), in: MDPI Energies, 14:7144(32)

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Abdeljalil Abbas-Turki, Yazan Mualla, nicolas gaud, Davide Calvaresi, wendan du, alexandre lombard, Mahjoub Dridi und Abder Koukam, Autonomous intersection management_ optimal Trajectories, and Efficient Scheduling (2023), in: MDPI Sensors

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Davide Calvaresi und Jean-Paul Calbimonte, Real-Time Compliant Stream Processing Agents for Physical Rehabilitation (2020), in: MDPI Sensors 20(3):746

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Laura Finarelli, Falko Dressler, Marco Ajmone Marsan und Gianluca Rizzo, Assessing the Benefits of Ground Vehicles as Moving Urban Base Stations (2025), in: MedComNet(8)

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Juan P. Dominguez-Morales, Lourdes Duran-Lopez, Niccolò Marini, Saturnino Vicente-Diaz, Alejandro Linares-Barranco, Manfredo Atzori und Henning Müller, A systematic comparison of deep learning methods for Gleason grading and scoring (2024), in: Medical Image Analysis

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Niccolò Marini, Stefano marchesin, Marek Wodzinski, Alessandro Caputo, Damian Podareanu, Bryan Cardenas Guevara, Svetla Boytcheva, Simona Vatrano, Filippo Fraggetta, Francesco Ciompi, Gianmaria Silvello, Henning Müller und Manfredo Atzori, Multimodal Representations of Biomedical Knowledge from Limited Training Whole Slide Images and Reports using Deep Learning (2024), in: Medical Image Analysis

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Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori und Mattias Rantalainen, The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue (2024), in: Medical Image Analysis

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Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze-Le-Rest, Olena Tankyevych, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt und Adrien Depeursinge, Automatic Head and Neck Tumor Segmentation and Outcome Prediction Relying on FDG-PET/CT Images: Findings from the Second Edition of the HECKTOR Challenge (2023), in: Medical Image Analysis, 90:1(102972)

[]: IF 2022: 10.9

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Jianning Li, David G. Ellis, Oldřich Kodym, Laurel Rauschenbach, Christoph Rieß, Ulrich Sure, Karsten H. Wrede, Carlos M. Alvarez, Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Hamza Mahdi, Allison Clement, Evan Kim, Zachary Fishman, Cari M. Whyne, James G. Mainprize, Michael R. Hardisty, Shashwat Pathak, Chitimireddy Sindhura, Rama Krishna Sai S. Gorthi, Degala Venkata Kiran, Subrahmanyam Gorthi, Bokai Yang, Ke Fang, Xingyu Li, Artem Kroviakov, Lei Yu, Yuan Jin, Antonio Pepe, Christina Gsaxner, Adam Herout, Victor Alves, Michal Španěl, Michele R. Aizenberg, Jens Kleesiek und Jan Egger, Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge (2023), in: Medical Image Analysis, 88

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Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, Sarah Boughdad, Hesham Elhalawani, Joel Castelli, Martin Vallières, Simeng Zhu, Juanying Xie, Ying Peng, Andrei Iantsen, Mathieu Hatt, Yading Yuan, Jun Ma, Xiaoping Yang, Chinmay Rao, Suraj Pai, Kanchan Ghimire, Xue Feng, Mohamed A. Naser, Clifton D. Fuller, Fereshteh Yousefirizi, Arman Rahmim, Huai Chen, Lisheng Wang, John O. Prior und Adrien Depeursinge, Head and Neck Tumor Segmentation in PET/CT: The HECKTOR Challenge (2022), in: Medical Image Analysis, 77(102336)

[]: IF 2020 = 8.545

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Niccolò Marini, Sebastian Otalora, Henning Müller und Manfredo Atzori, Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: an experiment on histopathology image classification (2021), in: Medical Image Analysis

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Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Julio Saez-Rodriguez, Annette Kopp-Schneider und Bennett A Landman, BIAS: Transparent reporting of biomedical image analysis challenges (2020), in: Medical Image Analysis

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Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet und Adrien Depeursinge, Local Rotation Invariance in 3D CNNs (2020), in: Medical Image Analysis, 65(101756)

[]: IF 2018 = 8.79

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Ranveer Joyseeree, Sebastian Otalora, Henning Müller und Adrien Depeursinge, Fusing Learned Representations from Riesz and Deep CNNs for Lung Tissue Classification (2019), in: Medical Image Analysis, 56(172-183)

[]: IF 2017 = 5.356

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Li Zhongyu, Henning Müller und Zhang Shaoting, Large-scale Retrieval for Medical Image Analytics: A Comprehensive Review (2018), in: Medical Image Analysis

[]: IF 2016: 4.18

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Jocelyn Barker, Assaf Hoogi, Adrien Depeursinge und Daniel L. Rubin, Automated Classification of Brain Tumor Type in Whole-Slide Digital Pathology Images Using Local Representative Tiles (2016), in: Medical Image Analysis, 30(60-71)

[]: IF 2014 = 3.654

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Camille Kurtz, Adrien Depeursinge, Sandy Napel, Christopher F. Beaulieu und Daniel L. Rubin, On combining visual and ontological similarities for medical image retrieval applications (2014), in: Medical Image Analysis, 18:7(1082–1100)

[]: Impact Factor=4.087

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Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Dimitri Van De Ville und Henning Müller, Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities (2014), in: Medical Image Analysis, 18:1(176-196)

[]: Impact Factor=4.087

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I. Sluimer, A. Schilham, M. Prokop und B. van Ginneken, Computer analysis of computed tomography scans of the lung: a survey (2006), in: Medical Imaging, IEEE Transactions on, 25:4(385-405)

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Anastasiia Rozhyna, Gábor Márk Somfai, Manfredo Atzori und Henning Müller, An Overview of Public Retinal Optical Coherence Tomography Datasets: Access, Annotations, and Beyond (2024), in: Medical Informatics Europe 2024(1664 - 1668)

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Michael Bach, Christoph Aberle, Adrien Depeursinge, Oscar Jimenez del Toro, Roger Schaer, Kyriakos Flouris, Ender Konukoglu, Henning Müller und Markus Obmann, 3D-Printed Iodine-Ink CT Phantom for Radiomics Feature Extraction - Advantages and Challenges (2023), in: Medical Physics, 50:9(5682-5697)

[]: IF 2023: 4.506

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Adrien Depeursinge, Masahiro Yanagawa, Ann N. Leung und Daniel L. Rubin, Predicting Adenocarcinoma Recurrence Using Computational Texture Models of Nodule Components in Lung CT (2015), in: Medical Physics, 42:4(2054-2063)

[]: Impact Factor=3.012

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Christelle Despont-Gros, Paul Fabry, Henning Müller, Antoine Geissbuhler und Christian Lovis, User acceptance of clinical information systems: A methodological approach to identify the key dimensions allowing a reliable evaluation framework (2004), in: MedInfo 2004, 11:2(1038-1042)

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Ahmed Radwan, Lisa Decraene, Patrick Dupont, Nicolas Leenaerts, Cristina Simon-Martinez, Katrijn Klingels, Els Ortibus, Hilde Feys, Stefan Sunaert, Jeroen Blommaert und Lisa Mailleux, Exploring structural connectomes in children with unilateral cerebral palsy using graph theory (2022), in: medRxiv

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Henning Müller, Allan Hanbury und Najeed Al Shorbaji, Methods special topic section, introduction to medical information retrieval (2012), in: Methods of Information in Medicine, 51:6(516-518)

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Henning Müller und Antoine Geissbuhler, Medical Multimedia Retrieval 2.0 (2008), in: Methods of Information in Medicine, 3:supplement 1(55-63)

[]: Impact Factor: 1.451 (2007)

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Henning Müller, Sensors, Signals, and Images in Medical Informatics: Progress and Evaluation (2008), in: Methods of Information in Medicine, 3:supplement 1(64-66)

[]: Impact Factor: 1.451 (2007)

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Cheickh-Oumar Bagayoko, Henning Müller und Antoine Geissbuhler, Assessment of Internet-based Telemedicine in Western Africa (The RAFT project) (2007), in: Methods of Information in Medicine(21)

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