Henning Müller - HES SO Valais Publications

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Vorname(n):	Henning
Nachname(n):	Müller
E-Mail:	Henning.Mueller@hevs.ch
Institut:	II

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Niccolò Marini, Stefano marchesin, Ferris Borràs Lluis, Simon Püttmann, Marek Wodzinski, Riccardo Fratti, Damian Podareanu, Alessandro Caputo, Svetla Boytcheva, Simona Vatrano, Filippo Fraggetta, Iris Nagtegaal, Gianmaria Silvello, Manfredo Atzori und Henning Müller, Automatic labels are as effective as manual labels in digital pathology images classification with deep learning (2025), in: Journal of Pathology Informatics, 18(100462)

[DOI]
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Niccolò Marini, Sebastian Otalora, Marek Wodzinski, Selene Tomassini, Aldo Franco Dragoni, Stéphane Marchand-Maillet, Juan Pedro Dominguez Morales, Lourdes Duran-Lopez, Simona Vatrano, Henning Müller und others, Data-driven color augmentation for H\&E stained images in computational pathology (2023), in: Journal of Pathology Informatics(100183)

Shruti Atul Mali, Abdalla Ibrahim, Henry C. Woodruff, Vincent Andrearczyk, Henning Müller, Sergey Primakov, Zohaib Salahuddin, Avishek Chatterjee und Philippe Lambin, Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods (2021), in: Journal of Personalized Medicine, 11:9

[URL]

Matteo Cognolato, Manfredo Atzori und 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

[DOI]
[URL]

Manfredo Atzori, Arjan Gijsberts, Claudio Castellini, Barbara Caputo, Anne-Gabrielle Mittaz Hager, Elsig Simone, Giorgio Giatsidis, Franco Bassetto und Henning Müller, Clinical Parameter Effect on the Capability to Control Myoelectric Robotic Prosthetic Hands (2016), in: Journal of Rehabilitation Research and Development, 53:3(345-358)

[]: (IF 2013=1.688)

Daniel Reichenpfader, Jamil Zaghir, Elsa Cécilia-Joseph, Boris Delange, Anastassia Shaitarova, Emmanuelle Sylvestre, Fabio Dennstädt, Boya Zhang, Douglas Teodoro, Stéphane Meystre, Henning Müller und others, The consensus-based CINEX guideline for reporting clinical information extraction studies (2026), in: Journal of the American Medical Informatics Association(ocag136)

William Hersh, Henning Müller, Jeffery Jensen, Jianji Yang, Paul Gorman und Patrick Ruch, Advancing Biomedical Image Retrieval: Development and Analysis of a Test Collection (2006), in: Journal of the American Medical Informatics Association, 13:5(488-496)

[]: Impact Factor: 3.979 (2005)

Alba García Seco de Herrera, Roger Schaer und Henning Müller, Shangri-La: a medical case-based retrieval tool (2017), in: Journal of the American Society for Information Science, 68:11(2587–2601)

Alba García Seco de Herrera, Roger Schaer und Henning Müller, Shangri-La: a medical case-based retrieval tool (2016), in: Journal of the American Society for Information Science

[]: IF 2013=2.230

Wolfgang Müller, Stéphane Marchand-Maillet, Henning Müller, David McG. Squire und Thierry Pun, Evaluating Image Browsers Using Structured Annotation (2001), in: Journal of the American Society for Information Science and Technology (JASIST), 52:11(961-968)

Antoine Rosset, Henning Müller, Martina Martins, Natalia Dfouni, Jean-Paul Vallée und Osman Ratib, Casimage Project - A digital teaching files authoring environment (2004), in: Journal of Thoracic Imaging, 19:2(1-6)

Michael Schumacher und Henning Müller, L'informatique au service de la santé (2008), in: Le Nouvelliste

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

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)

[URL]

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)

Alexis Joly, Lukas Picek, Christophe Botella, Diego Marcos, Cesar Leblanc, Théo Larcher, Stefan Kahl, Hervé Goëau, Pierre Bonnet, Holger Klinck, maximilien Servajean, Jiří Matas, Robert Planqué, Willem-Pier Vellinga, Tom denton und Henning Müller, Challenges on Species Presence Prediction and Identification, and Individual Animal Identification, Springer Lecture Notes in Computer Science, Proceedings of CLEF 2025, Madrid, Spain, 2025. (2025), in: Lecture Notes in Computer Science, vol 15576. Springer, Cham, 15576(373-381)

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Bogdan Ionescu, Henning Müller, Alexandra-Georgiana Andrei, Yuri Prokopchuk, Liviu Daniel Stefan, Mihai Gabriel Constantin, Mihai Dogariu, Kovalev Vassili, Hendrik Damm, Asma Ben Abacha, Alba García Seco de Herrera, Christoph M. Friedrich, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Cynthia Sabrina Schmidt, Tabea M. G. Pakull, Benjamin Bracke, Obioma Pelka, Yim Wen-Wai, Steven A. Hicks, Vajira Thambawita, Pal Halvorsen, Cécile Macaire, Didier Schwab, Martin Potthast, Maximilian Heinrich und Benno Stein, Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications ECIR 2025 (2025), in: Lecture Notes in Computer Science, vol 16089. Springer, Cham., 16089(290-314)

[DOI]
[URL]

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

[DOI]

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

Henning Müller und Marek Wodzinski, Automated segmentation of pediatric neuroblastoma on multi-modal (2025), in: MDPI Bioengineering

[DOI]

Myrthe Buser, Dominique C. Simons, Matthijs Fitski, Marc H. W. A. Wijnen, Annemieke S. Littooij, Annemiek H. ter Brugge, Iris N. Vos, Markus H. A. Janse, Mathijs de Boer, Junya Sato, Shoji Kido, Satoshi Kondo, Marek Wodzinski, Henning Müller, Jin Ye, Junjun He, Yannick Kirchhoff, Maximilian R. Rokkus, Gao Haokai, Matias Fernandez-Paton, Diana Viaga-Canuto, David G. Ellis, Michele R. Aizenberg, Bas H. M. van der Velden, Hugo Kuijf, Alberto de Luca und Alida F. W. van der Steeg, Automated segmentation of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023, MDPI Bioengineering, 2025 (2025), in: MDPI Bioengineering, nov. 25

[DOI]

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

[DOI]

Muhammad Imran, Jonathan R Krebs, Vishal Balaji Sivaraman, Teng Zhang, Amarjeet Kumar, Walker R Ueland, Michael J Fassler, Chang Wang, Jinlong Huang, Xiao Sun, Lisheng Wang, Shi Pencheng, Maximilian R. Rokkus, Michael Baumgartner, Yannick Kirchhoff, Klaus H. Maier-Hein, Fabian Isensee, Liu Shuolin, Han Bing, Thanh Nguyen Bong, Shin Dong-jin, Ji-Woo Park, Choi Matthew, Uhm Kwang-Hyun, Ko Sung-Jea, Lee Chanwoong, Chun Jaehee, Kim Jin Sung, Zhang Minghui, Zhang Hanxiao, You Xin, Gu Yun, Pan Zhaohong, Liu Xuan, Lian Xiaokun, Markus Tiefenthaler, Enrique Almar-Munoz, Matthias Schwab, Mikhail Kotyushev, Epifanov Rostislav, Marek Wodzinski, Henning Müller, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Wang Zhiwei, Yang Kaixiang, Jintao Ren, Sofia Korreman Stine, Gao Yuchong, Zeng Hongye, Zheng Haoyu, Zheng Rui, Yue Jinghua, Zhou Fugen, Liu Bo, Alexander Cosman, Liang Muxuan, Zhao Chang, Gilbert R. Upchurch, Zhou Yuyin, Michol A. Cooper und Shao Wei, Multi-class segmentation of aortic branches and zones in computed tomography angiography: the aortaseg24 challenge (2026), in: Medical Image Analysis(104188)

Federico Bolelli, Luca Lumetti, Niels van Nistelrooij, Shankeeth Vinayahalingam, Mattia Di Bartolomeo, Kevin Marchesini, Arrigo Pellacani, Ettore Candeloro, Gabriele Rosati, Tong Xi, Fabian Isensee, Yannick Kirchhoff, Lars Krämer, Maximilian R. Rokkus, Ulrich Constantin, Klaus Maier-Hain, Jiang Yuxian, Liu Yusheng, Lisheng Wang, Wang Haoshen, Chen Siyu, C Zhiming, Shi Pencheng, Pan Zhaohong, Lian Xiaokun, Ma Qi, Konukoglu Ender, Marek Wodzinski, Henning Müller, Mai Haipeng, Dang Xiaobing, Bhandary Shrajan, Grosu Radu, Stefaan Bergé, Alexandre Anesi und Grana Constantino, Multi-structure segmentation in CBCT volumes: The ToothFairy2 challenge (2026), in: Medical Image Analysis(104095)

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

[DOI]

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

[DOI]

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

[DOI]

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

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

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

[URL]

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

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

[DOI]
[URL]

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)

[DOI]

Maria Martin Asiain, Mohammadreza Amirian, Oscar Jimenez del Toro, Christoph Aberle, Roger Schaer, Michael Bach, Markus Obmann, Kyriakos Flouris, Henning Müller, Bram Stieltjes, Ender Konukoglu, Vincent Andrearczyk und Adrien Depeursinge, Impact of CT dose on AI performance: A comparison of radiomics, deep, and foundation models in a multi-centric anthropomorphic phantom study (2026), in: Medical Physics, 53:3(e70374)

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

[DOI]

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)

Lasse Hansen, Christian Wachinger, Marek Wodzinski, Henning Müller, Mikael Brudfors, William M. Wells, Aaron Carass, Reuben Dorent, Alessa Hering und Mattias Heinrich, Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges (2025), in: Melba, Volume 3(775-791)

[DOI]

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)

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)

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)

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)

Henning Müller, Sensors, Signals, and Images in Medical Informatics: Progress and Evaluation Findings from the Yearbook 2008 Section on Sensors, Signals, and Imaging Informatics (2008), in: Methods of Information in Medicine - Yearbook of medical informatics

Bogdan Ionescu, Adrian Popescu, Anca-Livia Radu und Henning Müller, Result Diversification in Social Image Retrieval: A Benchmarking Framework (2016), in: Multimedia Tools and Applications, 75:2(1301-1331)

[]: IF 2013 =1.058

Antonio Foncubierta-Rodríguez, Henning Müller und Adrien Depeursinge, Retrieval of high-dimensional visual data: current state, trends and challenges ahead (2014), in: Multimedia Tools and Applications, 69:2(539-567)

[]: Impact Factor=1.014

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[URL]

Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, P. Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, M. Kozubek, 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 und Annette Kopp-Schneider, Why rankings of biomedical image analysis competitions should be interpreted with care (2018), in: Nature Communications

[]: IF 2017: 12,353

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 und Lena Maier-Hein, Understanding metric-related pitfalls in image analysis validation (2024), in: Nature Method

[DOI]

Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu Dietlinde Tizabi, Florian Buettner, Evangelia Christodoulou, ben glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Ali Emre Kavur, Carole H Sudre, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tim Rädsch, Laura Acion, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Robert Haase, Daniel A. Hashimoto, Merel Huisman, Pierre Jannin, Charles Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Florian Kofler, Annette Kopp-Schneider, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hain, Peter Mattson, Erik Meijering, Bjoern Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Gaël Varoquaux und Paul F. Jäger, Metrics reloaded: recommendations for image analysis validation (2024), in: Nature Methods

[DOI]

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 und 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

Johannes Rückert, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Cynthia S. Schmidt, Sven Koitka, Obioma Pelka, Asma Ben Abacha, Alba García Seco de Herrera, Henning Müller, Felix Nensa und Christoph M. Friedrich, ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset (2024), in: Nature Scientific Data

[DOI]

Mario Martínez-Zarzuela, Javier González-Alonso, Míriam Antón-Rodríguez, Francisco J Díaz-Pernas, Henning Müller und Cristina Simon-Martinez, VIDIMU. Multimodal video and IMU kinematic dataset on daily life activities using affordable devices (2023), in: Nature Scientific Data

| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-550 | 551-600 | 601-650 | 651-700 | 701-750 | 751-800 | 801-850 | 851-900 | 901-901 |

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