Henning Müller - HES SO Valais Publications

Henning Müller, Stéphane Marchand-Maillet and Thierry Pun, The truth about Corel - Evaluation in Image Retrieval, in: Proceedings of the International Conference on the Challenge of Image and Video Retrieval (CIVR 2002), pages 38-49, Springer-Verlag, 2002

Brice Berclaz, Helga Haberfehlner, Katrijn Klingels, Hilde Feys, Pieter Meyns, Henning Müller and Cristina Simon-Martinez, The use of DeepLabCut to detect and quantify mirror movements in children with unilateral cerebral palsy, in: Meeting European Academy of Childhood Disability - EACD, Barcelona, Spain, 2022

Brice Berclaz, Helga Haberfehlner, Katrijn Klingels, Hilde Feys, Pieter Meyns, Henning Müller and Cristina Simon-Martinez, The use of DeepLabCut to detect and quantify mirror movements in children with unilateral cerebral palsy, in: Swiss Academy of Childhood Disability, Bern, Switzerland, 2022

Henning Müller, Antoine Geissbuhler, Johan Marty, Christian Lovis and Patrick Ruch, The Use of MedGIFT and EasyIR for ImageCLEF 2005, in: CLEF, pages 724-732, 2006

[]: Impact Factor: 0.402 (2005)

[DOI]

Antonio Foncubierta-Rodríguez, Adrien Depeursinge, Laura Gui and Henning Müller, Three dimensional multi–scale visual words for texture–based cerebellum segmentation, in: Medical Imaging 2012: Image Processing, San Diego, CA, USA, pages 83142Z, SPIE, 2012

Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Dimitri Van De Ville and 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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Wolfgang Müller, Stéphane Marchand-Maillet, Henning Müller and Thierry Pun, Towards a fair benchmark for image browsers, in: SPIE Photonics East, Voice, Video, and Data Communications, pages 262-271, 2000

Allan Hanbury and Henning Müller, Towards automated component--level evaluation, in: Proceeding of the SIGIR Workshop on new evaluation methodologies, 2009

Nataliia Molchanova, Raina Vatsal, Francesco La Rosa, Andrey Malinin, Henning Müller, Mark Gales, Cristina Granziera, Mara Graziani and Meritxell Bach Cuadra, Towards Informative Uncertainty Measures for MRI Segmentation in Clinical Practice: Application to Multiple Sclerosis, ISMRM & ISMRT 2023 Annual Meeting & Exhibition, 2023

Nataliia Molchanova, Raina Vatsal, Francesco La Rosa, Andrey Malinin, Henning Müller, Mark Gales, Cristina Granziera, Mara Graziani and Meritxell Bach Cuadra, Towards Informative Uncertainty Measures for MRI Segmentation in Clinical Practice: Application to Multiple Sclerosis, in: Bern Interpretable Symposium (BIAS) 2023, 2023

Gareth Jones, Jussi Karlgren, Karl Kreiner, Henning Müller and Sanna Salanterà, Towards Systematic Evaluation of Methods, Applications, and Resources for eHealth Document Analysis, Rome, Italy, 2012

Adina Eunice Tutac, Daniel Racoceanu, Wee-Kheng Leow, Henning Müller, Thomas Putti and Vladimir Cretu, Towards Translational Incremental Similarity-based Reasoning in Breast Cancer Grading, in: SPIE Medical Imaging, pages 1-12, 2009

Marek Wodzinski, Tommaso Banzato, Manfredo Atzori, Vincent Andrearczyk, Yashin Dicente Cid and Henning Müller, Training a deep neural network for small and highly heterogeneous MRID datasets for cancer grading, in: EMBC Conference, IEEE, 2020

Sebastian Otalora, Fabio González and Henning Müller, Training Deep Convolutional Neural Networks with Active Learning for Exudate Classification in Eye Fundus Images, in: MICCAI workshop LABELS, Springer, 2017

Marek Wodzinski, Tommaso Banzato, Manfredo Atzori, Vincent Andrearczyk, Yashin Dicente Cid and Henning Müller, Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading, in: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC), IEEE, pages 1758--1761, 2020

William Hersh, Jeffery Jensen, Henning Müller, Paul Gorman and Patrick Ruch, Trans-Atlantic Collaboration for Evaluating Image Retrieval Systems in ImageCLEF biomedical Image Retrieval Task, in: Workshop on NSF/FP6 cooperations at the 2005 eChallenges conference, 2005

Federico Del Pup, Riccardo Brun, Filippo Iotti, Edoardo Paccagnella, Mattia Pezzato, Sabrina Bertozzo, Andrea Zanola, Louis Fabrice Tshimanga, Henning Müller and Manfredo Atzori, TransformEEG: Towards Improving Model Generalizability in Deep Learning-based EEG Parkinson's Disease Detection (2025), in: arXiv preprint arXiv:2507.07622

Henning Müller, Manfredo Atzori, Federico Del Pup, Riccardo Brun, Filippo Iotti, Edoardo Paccagnella, Mattia Pezzato, Sabrina Bertozzo, Andrea Zanola and Louis Fabrice Tshimanga, TransformEEG: Towards improving model generalizability in deep learning-based EEG Parkinson’s disease detection (2025), in: Elsevier

[DOI]

Julien Gobeill, Henning Müller and Patrick Ruch, Translation by Text Categorization: Medical Image Retrieval in ImageCLEFmed 2006, in: CLEF 2006 Proceedings, pages 706-710, 2007

Shabo Amnon, Henning Müller, Haux Reinhold and Kalra Dipak, Translational Medicine - The Need for Integrative Informatics, in: Medical Informatics Europe (MIE), Oslo, Norway, 2011

Mikael Rousson, Mats Andersson, Martin Hedlund, Ludwig Jacobsson, Gunnar Läthén, Henning Müller, Oscar Jimenez del Toro, Björn Norell and Manfredo Atzori, Tumor proliferation grading from whole slide images, in: SPIE Medical Imaging, Houston, Texas, USA, 2018

Mara Graziani, Laura O' Mahony, An-Phi Nguyen, Henning Müller and Vincent Andrearczyk, Uncovering Unique Concept Vectors through Latent Space Decomposition

Annika Reinke, Minu Dietlinde Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Ali Emre Kavur, Tim Rädsch, Carole H Sudre, Laura Acion, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Florian Buettner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, ben glocker, Patrick Godau, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L. Martel, Erik Meijering, Bjoern Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Ziv R. Yaniv, Paul F. Jäger and Lena Maier-Hein, Understanding metric-related pitfalls in image analysis validation (2024), in: Nature Method

[DOI]

Michael Schumacher, Henning Müller, Bruno Alves, David Godel, Abu Khaled Omar, Francois Mooser and Sandrine Ding, Une approche pratique de l’interopérabilité entre hôpitaux et médecinstraitants en Suisse, in: Proceedings of the 22nd Annual Symposium of the Swiss Society for Medical Informatics, Bern, 2009

Henning Müller, Une plateforme pour la santé du futur (2011), in: Hémisphères(46)

Xin Zhou, Julien Gobeill, Patrick Ruch and Henning Müller, University and Hospitals of Geneva at ImageCLEF 2007, in: Working Notes of the 2007 CLEF Workshop, 2007

[]: Impact Factor: 0.402 (2005)

Xin Zhou, Julien Gobeill, Patrick Ruch and Henning Müller, University and Hospitals of Geneva Participating at ImageCLEF 2007, in: CLEF 2007 Proceedings, pages 649-656, Springer, 2008

Niccolò Marini, Stefano marchesin, Sebastian Otalora, Marek Wodzinski, Alessandro Caputo, mert van Rijthoven, Witali Aswolinskiy, John Melle Bokhorst, Damian Podareanu, Edyta Petters, Svetla Boytcheva, Genziana Buttafuoco, Simona Valtrano, Filippo Fraggetta, Uulke A. van der Heide, Maristella Agosti, Francesco Ciompi, Gianmaria Silvello, Henning Müller and Manfredo Atzori, Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations (2022), in: Nature Partner Journal on Digital Medicine

Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori and Henning Müller, Unsupervised Deep Network for Large Deformations followed by Instance Optimization and Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge, in: MICCAI BrainLes workshop, 2022

Marek Wodzinski and Henning Müller, Unsupervised Learning-based non-rigid registration of high resolution histology images, in: MICCAI workshop on Machine Learning in Medical Imaging, Springer, 2020

Christelle Despont-Gros, Paul Fabry, Henning Müller, Antoine Geissbuhler and 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)

Markus Holzer, Dimitrios Markonis, Henning Müller, René Donner and Georg Langs, User centered evaluation of the KHRESMOI image search system for radiologists, in: ECR, Vienna, Austria, 2015

Henning Müller, User Interaction and Performance Evaluation in Content-Based Visual Information Retrieval, Computer Vision and Multimedia Laboratory, University of Geneva, 2002

Dimitrios Markonis, Markus Holzer, Frederic Baroz, Rafael Luis Ruiz De Castaneda, Célia Boyer, Georg Langs and Henning Müller, User-oriented evaluation of a medical image retrieval system for radiologists (2015), in: International Journal of Medical Informatics(774-783)

[]: IF 2013=2.716

Alba García Seco de Herrera, Roger Schaer, Sameer Antani and Henning Müller, Using Crowdsourcing for Multi-label Biomedical Compound Figure Annotation, in: MICCAI workshop Labels, Springer, 2016

Sebastian Dungs, Markus Holzer, Dimitrios Markonis, Georg Langs, Sascha Kriewel and Henning Müller, Using eye tracking on a clinical viewing station to help investigate image search requirements of radiologists., in: RSNA Proceedings, 2011

Antoine Widmer and Henning Müller, Using Google Glass to enhance pre-hospital care, in: Swiss e-health summit, Bern, Switzerland, 2014

Henning Müller, Paul Clough, William Hersh, Thomas Deselaers, Thomas M. Lehmann, Bruno Janvier and Antoine Geissbuhler, Using heterogeneous annotation and visual information for the benchmarking of image retrieval systems, in: Internet Imaging VII, pages 34-45, 2006

Dimitrios Markonis, Roger Schaer, Ivan Eggel, Henning Müller and Adrien Depeursinge, Using MapReduce for Large-scale Medical Image Analysis (2015), in: arXiv:1510.06937

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Dimitrios Markonis, Roger Schaer, Ivan Eggel, Henning Müller and Adrien Depeursinge, Using MapReduce for Large–scale Medical Image Analysis, in: 2nd IEEE Conference on Healthcare Informatics, Imaging and Systems Biology (HISB), La Jolla, California, 2012

Henning Müller, Antoine Geissbuhler, Johan Marty, Christian Lovis and Patrick Ruch, Using medGIFT and easyIR for the ImageCLEF 2005 evaluation tasks, in: Working Notes of the 2005 CLEF Workshop, 2005

Henning Müller, Jayashree Kalpathy-Cramer, William Hersh and Antoine Geissbuhler, Using Medline queries to generate image retrieval tasks for benchmarking, in: Medical Informatics Europe (MIE2008), pages 523-528, IOS press, 2008

Antonio Foncubierta-Rodríguez, Adrien Depeursinge and Henning Müller, Using Multiscale Visual Words for Lung Texture Classification and Retrieval, in: Medical Content-based Retrieval for Clinical Decision Support, Toronto, Canada, pages 69-79, Lecture Notes in Computer Sciences (LNCS), 2012

Henning Müller, Patrick Ruch, David McG. Squire, Christian Lovis and Antoine Geissbuhler, Using open source software for medical image retrieval, in: Medinfo 2004, 2004

Ranveer Joyseeree, Oscar Jimenez del Toro and Henning Müller, Using Probability Maps for Multi-organ Automatic Segmentation, in: MICCAI MCV workshop, Nagoya, Japan, 2014

[]: IF 2005=0.402

Henning Müller, Vincent Andrearczyk, Oscar Jimenez del Toro, Anjani Dhrangadhariya, Roger Schaer and Manfredo Atzori, Using Publicly Available Medical Images from the Open Access Literature and Social Networks for Model Training and Knowledge Extraction, in: Multimedia Modeling (MMM 2020), Seoul, Korea, 2020

Roger Schaer, Henning Müller and Antoine Widmer, Using Smart Glasses in Medical Emergency Situations, a Qualitative Pilot Study, in: WirelessHealth 2016, Bethesda, pages 1-5, 2016

Ivan Eggel, Roger Schaer and Henning Müller, Using the Cloud as a Platform for Evaluation and Data Preparation, chapter Using the Cloud as a Platform for Evaluation and Data Preparation, Springer, 2016

Henning Müller and Antoine Geissbuhler, Using the GNU Image Finding Tool for Medical image retrieval, in: Conference of Oshca - the Open Source Health Care Alliance, 2003

Mikko Juhani Pitkanen, Xin Zhou, Antti E. J. Hyvärinen and Henning Müller, Using the Grid for Enhancing the Performance of a Medical Image Search Engine, in: 21th IEEE Symposium on Computer-Based Medical Systems (CBMS), pages 367-372, 2008