Henning Müller - HES SO Valais Publications - Aigaion 2.0

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First name(s):	Henning
Last name(s):	Müller
Email:	henning.mueller@hevs.ch
Institute:	II

| 1-50 | 51-100 | 101-150 |

Marek Wodzinski and Henning Müller, 3-D Image-to-Image Fusion in Lightsheet Microscopy by Two-Step Adversarial Network: Contribution to the Fusemycells Challenge (2025), in: 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)

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Henning Müller and Marek Wodzinski, Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge (2025), in: Arxiv

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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

Darya Ardan, Valentin Oreiller and Henning Müller, Bag-of-Visual-Words for Spatial Mapping of Lung Adenocarcinoma Growth Patterns (2026), in: arXiv preprint arXiv:2608.05074

Agnieszka Florkowska, Henning Müller and Marek Wodzinski, One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training (2026), in: arXiv preprint arXiv:2608.09403

Sebastian Otalora, Niccolò Marini, Henning Müller and Manfredo Atzori, Combining weak and strong supervised learning improves strong supervision in Gleason pattern classification (2021), in: BMC Medical Imaging

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Ferris Borràs Lluis, Riccardo Fratti, Valerio Nucera, Valentin Oreiller, Barbara Di Camillo, Manfredo Atzori and Henning Müller, An overview of self-supervised deep learning applications to molecular data (2026), in: Briefings in Bioinformatics, 27:4(bbag380)

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Hendrik Damm, Tabea M. G. Pakull, Helmut Becker, Benjamin Bracke, Bahadir Eryilmaz, Louise Bloch, Raphael Brüngel, Cynthia S. Schmidt, Johannes Rückert, Obioma Pelka, Henning Schäfer, Ahmad Idrissi-Yaghir, Asma Ben Abacha, Alba G. Seco de Herrera, Henning Müller and Christoph M. Friedrich, Overview of ImageCLEFmedical 2025 – Medical Concept Detection and Interpretable Caption Generation (2025), in: CEUR-WS.org/Vol-4038 - CLEF 2025 Working Notes, 4038:Paper 170

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Alexandra-Georgiana Andrei, Mihai Gabriel Constantin, Mihai Dogariu, Liviu-Daniel Stefan, Yuri Prokopchuk, Vassili Kovalev, Henning Müller and Bogdan Ionescu, Overview of ImageCLEFMedical 2025 GANs Task: Training Data Analysis and Fingerprint Detection (2025), in: CLEF 2025 Working Notes, 9 – 12 September 2025, Madrid, Spain / coeur-ws.org, 4038(paper 169)

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Mara Graziani, Ivan Eggel, Francois Deligand, Martin Bobák, Vincent Andrearczyk and Henning Müller, Breast Histopathology with High-Performance Computing and Deep Learning (2020), in: Computer and Informatics

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Martin Bobák, Ladislav Hluchý, Ondrej Habala, Viet Tran, Reginald Cushing, Onno Valkering, Adam S. Z. Belloum, Mara Graziani, Henning Müller, Souley Madougou and Jason Maassen, Reference Exascale Architecture - Extended Version (2020), in: Computer And Informatics

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Marek Wodzinski and Henning Müller, DeepHistReg: Unsupervised Deep Learning Registration Framework for Differently Stained Histology Samples (2021), in: Computer Methods and Programs in Biomedicine

[]: IF 2018: 4.260

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Oscar Perdomo, Hernan Rios, Francisco Rodriguez, Sebastian Otalora, Fabrice Meriaudeau, Henning Müller and Fabio Gonzalez, Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography (2019), in: Computer Methods and Programs in Biomedicine

[]: (IF 2017: 2.674)

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Lei Zhang, Along Wang, Zhichen Xue, Hongyu Liao, Huijie Jiang, Qiaoqiao Zheng, Henning Müller and Yabin Cao, Optimization-enhanced Gaussian mixture modeling for data-driven subphenotyping of septic shock (2026), in: Computer Methods in Biomechanics and Biomedical Engineering(1--14)

Nataliia Molchanova, Raina Vatsal, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark Gales, Cristina Granziera, Henning Müller, Mara Graziani and Meritxell Bach Cuadra, Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation (2025), in: Computers in Biology and Medicine

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Oscar Jimenez del Toro, Yashin Dicente Cid, Alexandra Platon, Anne-Lise Hachulla, Lador Frédéric, Pierre-Alexandre Poletti and Henning Müller, A lung graph model for the radiological assessment of chronic thromboembolic pulmonary hypertension in CT (2020), in: Computers in Biology and Medicine(103962)

[]: (IF 2019: 3.434)

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Mara Graziani, Henning Müller and Vincent Andrearczyk, Concept attribution: Explaining CNN decisions to physicians (2020), in: Computers in Biology and Medicine

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Reginald Cushing, Onno Valkering, Adam S. Z. Belloum, Souley Madougou, Martin Bobák, Ondrej Habala, Viet Tran, Jan Meizner, Piotr Nowakowski, Mara Graziani and Henning Müller, PROCESS Data Infrastructure and Data Service (2020), in: Computing and Informatics

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H. Zhao, L. Zhang, Y. Tan, S. Xu, Manfredo Atzori and Henning Müller, Retrospective Matching Network-Based One-Shot Multi-Object Tracking Method for UAV (2026), in: CONCURRENCY AND COMPUTATION, 38:1

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Lei Zhang, Jie Wang, Hua Wang, Manfredo Atzori and Henning Müller, EEG-To-fMRI Cross-Modal Prediction via Hierarchical Temporal Attention Network: Toward Accessible Functional Neuroimaging (2026), in: Concurrency and Computation: Practice and Experience, 38:14(e70860)

Ismail Mese, Tugba Akinci D’Antonoli, Christian Bluethgen, Keno Bressem, Renato Cuocolo, Akshay Chaudhari, Ali S Tejani, Amanda Isaac, Andrea Ponsiglione, Aymen Meddeb, Bardia Khosravi, Bastien Le Guellec, Charles Kahn, Chong Hyun Suh, Daniel Pinto dos Santos, Koh Dow-Mu, Tzanis Eleftherios, Elma Kotter, Errol Colak, Felipe Kitamura, Felix Busch, Felix Nensa, Henning Müller, Jakob Nikolas Kather, Jawed Nawabi, Jens Kleesiek, Jingyu Zhong, Joao Santinha, Johannes Haubold, José Guilherme de Almeida, Karim Lekadir, Marias Kostas, Lana Noelle Reiner, Lena Maier-Hein, Linda Moy, Lisa C. Adams, Luis Marti-Bonmati, Magdalini Paschali, Mana Moassefi, Dietzel Matthias, Merel Huisman, Michael Ingrisch, Michail E. Klontzas, Nick Papanikolaou, Oliver Diaz, Paulo Kuriki, Philipp Seeböck, Pouria Rouzrokh, Quirin D. Strotzer, Seong Ho Park, Shahriar Faghani, Soroosh Tayebi Arasteh, Kim Su Hwan, Vasantha Kumar Venugopal, Kim Woojin and Burak Kocak, Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline (2026), in: Diagnostic and Interventional Radiology

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

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Mélanie Champendal, Belinda Lokaj, Valentin Durand de Gevigney, Gaël Brulé, Polina Boiko, Christian Lovis, Henning Müller, Jérôme Schmid and Ricardo Teresa Ribeiro, Exploring environmental sustainability of artificial intelligence in radiology: A scoping review (2026), in: European Journal of Radiology, Volume 194

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Mélanie Champendal, Christian Lovis, Henning Müller and Ricardo Teresa Ribeiro, Exploring environmental sustainability of artificial intelligence in radiology: A scoping review (2025), in: European Journal of Radiology

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Niccolò Marini, Sebastian Otalora, Damian Podareanu, Mart van einthoven, Jeroen van der Laak, Francesco Ciompi, Henning Müller and Manfredo Atzori, Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images (2021), in: Frontiers in Computer Science

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Tommaso Banzato, Marek Wodzinski, Federico tauceri, Chiara Dona, Filippo Scavazza, Henning Müller and Alessandro Zotti, An AI-based algorithm for the automatic classification of thoracic radiographs in cats (2021), in: Frontiers in Veterinary science

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Lasse Hansen, Wiebke Heyer, Christoph Grossbröhmer, Frederic Madesta, Thilo Sentker, Wang Jiazheng, Yuxi Zhang, Hang Zhang, Min Liu, Junyi Wang, Xi Zhu, Yuhua Li, Liwen Wang, Daniil Morozov, Nazim Houachine, Joel Honkamaa, Pekka Marttinen, Yichao Zhou, Zuopeng Tan, Zhuoyuan Wang, Yi Wang, Hongchao Zhou, Shunbo Hu, Yi Zhang, Qian Tao, Lukas Förner, Thomas Wendler, Bailiang Jian, Christian Wachinger, Jin Kim, Dan Ruan, Marek Wodzinski, Henning Müller, Tony Chi Wing Mok, Xi Jia, Jinming Duan, Mikael Brudfors, Seyed-Ahmad Ahmadi, Yunzheng Zhu, William Hsu, Tina Kapur, William M. Wells, Alexandra Golby, Aaron Carass, Harrison Bai, Yihao Liu, Perrine Paul-Gilloteaux, Joakim Lindblad, Natasa Sladoje, Andreas Walter, Junyu Chen, Reuben Dorent, Alessa Hering and Mattias Heinrich, Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges (2025), in: Hansen et al. 2025 / Melba Journal - Machine Learning for Biomedical Imaging, Volume 3

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Federico Bolelli, Luca Lumetti, Lisheng Wang, Marek Wodzinski, Henning Müller, Klaus Maier-Hain, Bram van Ginneken and Costantino Grana, Segmenting the Inferior Alveolar Canal in CBCTs Volumes: The ToothFairy Challenge (2025), in: IEEE Transactions on Medical Imaging, Volume 44, Issue : 4, Arpil 2025(1890-1906)

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Bogdan Ionescu, Maia Rohm, Bogdan Boteanu, Alexandru Lucian Gınsca, Mihai Lupu and Henning Müller, Benchmarking Image Retrieval Diversification Techniques for Social Media (2020), in: IEEE Transactions on Multimedia

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Anastasiia Rozhyna, Rui Santos, Gábor Márk Somfai and Henning Müller, Automated OCT B-Scan Classification of Macular Scan Volumes with DINOv2 and Multi-Head Attention (2025), in: Investigative Ophthalmology & Visual Science June 2025, Vol.66, 5440., vol. 66

Oscar Jimenez del Toro, Christoph Aberle, Michael Bach, Roger Schaer, Markus Obmann, Kyriakos Flouris, Ender Konukoglu, Bram Stieltjes, Henning Müller and Adrien Depeursinge, The discriminative power and stability of radiomics features with CT variations: Task-based analysis in an anthropomorphic 3D-printed CT phantom (2021), in: Investigative Radiology, 56:12(820-825)

[]: IF 2020 = 5.156

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Henning Müller and Manfredo Atzori, Combining object recognition, gaze tracking and electromyography to guide prosthetic hands: experiences from two reserch projects (2019), in: Jedlik Laboratory reports, VII:2

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Anjani Dhrangadhariya, Roger Hilfiker, Karl Martin Sattelmayer, Nona Naderi, Katia Giacomino, Rahel Caliesch, Julian Higgins, Stéphane Marchand-Maillet and Henning Müller, RoBuster—Corpus Annotated With Risk of Bias Text Spans in Randomized Controlled Trials in Physiotherapy and Rehabilitation: Corpus Development and Annotation Study (2026), in: JMIR formative research, 10:1(e55127)

Inês Domingues, Henning Müller, Andres Ortiz, Belur V. Dasarathy, Pedro H. Abreu and Vince D. Calhoun, Information Fusion for Medical Data: early, late and deep fusion methods for multimodal data (2020), in: Journal of Biomedical and Health informatics

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Seyed Mohammad Alizadeh, Henning Müller and Mohammad Sadegh Helfroush, An Adaptive Attention-Driven Quadruplet Deep Hashing Method for Retrieving Histopathological Images (2026), in: Journal of Imaging, 12:7(321)

Néstor J. Jarque-Bou, Alessandro Scano, Manfredo Atzori and Henning Müller, Kinematic synergies of hand grasps: a comprehensive study on a large publicly available dataset (2019), in: Journal of Neuroengineering and rehabilitation

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Francesca Stival, Stefano Michieletto, Matteo Cognolato, Enrico Pagello, Henning Müller and Manfredo Atzori, A Quantitative Taxonomy of Human Hand Grasps, (2019), in: Journal of NeuroEngineering and Rehabilitation,, 16:28

[]: 2019. (IF=3.865)

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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 and 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)

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Shruti Atul Mali, Abdalla Ibrahim, Henry C. Woodruff, Vincent Andrearczyk, Henning Müller, Sergey Primakov, Zohaib Salahuddin, Avishek Chatterjee and 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

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

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 and 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 and 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)

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

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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 and 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

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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 and 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 and Grana Constantino, Multi-structure segmentation in CBCT volumes: The ToothFairy2 challenge (2026), in: Medical Image Analysis(104095)

Niccolò Marini, Sebastian Otalora, Henning Müller and 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 and Bennett A Landman, BIAS: Transparent reporting of biomedical image analysis challenges (2020), in: Medical Image Analysis

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Ranveer Joyseeree, Sebastian Otalora, Henning Müller and 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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