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Fabienne Malbois, Faire événement. De l'intérêt d'inclure les préparations dans l'analyse de l'action (2026), in: Revue d'anthropologie des connaissances, 20:4

Alexandre Lambelet, Benjamin Tremblay und Fabienne Malbois, Le care à l'ouvrage. Prendre en charge les vulnérabilités, Kapitel Faire 'être une personne'. Les anthropologies implicites de l'accompagnement en psychogériatrie, Presses universitaires de Rennes & Presses de l'EHESP, 2026

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

Sina Raeisadigh, Myles Joshua Toledo Tan, Henning Müller und Abderrahmane Hedjoudje, Comparing Baseline and Day-1 Diffusion MRI Using Multimodal Deep Embeddings for Stroke Outcome Prediction, in: 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), IEEE, Seiten 1--5, 2026

Marek Wodzinski und Henning Müller, Data-Centric Multiclass Aortic Segmentation: Revisiting Classical Architectures in Low-Data Regimes, in: International Challenge on Multi-class Segmentation of the Aorta, Seiten 59--73, Springer, 2024

Valentin Oreiller, Darya Ardan und Henning Müller, Post-hoc Shrinkage of Acquisition-Induced Variability in Histopathology Vision Foundation Model Embeddings, in: MICCAI Workshop on Computational Pathology with Multimodal Data (COMPAYL)

Anastasiia Rozhyna, Gábor Márk Somfai, Henning Müller und Rui Santos, Label-Efficient Few-Shot Adaptation of Foundation Models for OCT Classification, in: The 13th Ophthalmic Medical Image Analysis Workshop

Agnieszka Florkowska, Henning Müller und 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

Lei Zhang, Along Wang, Zhichen Xue, Hongyu Liao, Huijie Jiang, Qiaoqiao Zheng, Henning Müller und 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)

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 und Burak Kocak, Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline (2026), in: Diagnostic and Interventional Radiology

Anjani Dhrangadhariya, Roger Hilfiker, Karl Martin Sattelmayer, Nona Naderi, Katia Giacomino, Rahel Caliesch, Julian Higgins, Stéphane Marchand-Maillet und 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)

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

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)

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)

Fabienne Malbois, Benjamin Tremblay und Alexandre Lambelet, Matérialités du travail social. Objets, écologies et économies de l’intervention sociale, Kapitel L’EMS comme milieu de vie. Aperçu d’une écologie de l’expérience de la démence, Seiten 37-52, Editions de l'ies, 2026

[]: Ce chapitre a été rédigé dans le cadre d'un FNS réalisé à la HETSL-HES-SO entre 2022 et 2025 (https://data.snf.ch/grants/grant/200537). Sa publication a été retardée de plusieurs mois et les épreuves ont été corrigées alors que j'avais déjà débuté mon mandat de collaboratrice scientifique à la HES.SO Valais-Wallis (contrat débuté le 16 mars 2026). Dès lors, mon affiliation institutionnelle actuelle est également mentionnée dans l'article en regard de mon nom.

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Loris Bottegoni, Leonardo Cambiotti, Valerio Crocetti, Yassir Flavio Suarez Sanchez, Malvina Halilaj und Aldo Franco Dragoni, Synthetic Multi-View Learning for Artist Attribution, in: 4th Italian Workshop on Artificial Intelligence for Cultural Heritage (IAICH26), Perugia, Italy, CEUR-WS.org, 2026

Valerio Crocetti, Elia Pacioni und Davide Calvaresi, Mind the Gap: An Educator-Oriented Hybrid AI Platform for Iterative Review of Course Material, in: 1st International Workshop on AI Learning, Education And Practice (AI-LEAP 2026), Perugia, Italy, CEUR-WS.org, 2026

Numan Saeed, Salma Hassan, Shahad Hardan, Lishan Cai, Xinglong Liang, Moona Mazher, Abdul Qayyum, Yansong Bu, Mengye Lyu, Yue Lin, Mingyuan Meng, Chuanyi Huang, Lisheng Wang, Dalal Chamseddine, Shamimeh Ahrari, Beining Wu, Yifei Chen, Fuyou Mao, Hao Zhang, Baixiang Zhao, Surajit Ray, Muzi Guo, Lei Xiang, Jakob Dexl, Michael Ingrisch, Adrien Depeursinge, Arman Rahmim, Mathieu Hatt, Vincent Andrearczyk und Mohammad Yaqub, HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT, 2026

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Elia Pacioni und Francisco Fernández de Vega, Hybrid AI Approaches for Improving 4-part Harmony Learning. Applications to Handwritten Optical Music Recognition., in: AI-LEAP 2026 - 1st International Workshop on AI Learning, Education And Practice, co-located with AIxIA 2026, University of Perugia, October 2026, Perugia, 2026

Berk Buzcu, Laura Finarelli, Engin Zeydan, Jorge Baranda, Nikolaos Tzanis, Nikolaos Kanakaris und Gianluca Rizzo, An Energy-Aware Multi-Domain Orchestration Architecture for Sustainable 6G Networks (2026), in: Computer Communications, Selected Papers from the 21th Wireless On-demand Network systems and Services Conference

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

H. Zhao, L. Zhang, Y. Tan, S. Xu, Manfredo Atzori und 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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Mikele Milia, Barbara Di Camillo, Henning Müller, Manfredo Atzori, Louis Fabrice Tshimanga und others, Biologically constrained Transformers improve stability and interpretability in single-cell transcriptomics, in: Proceedings of Bioinformatics Italian Society 2026, 2026

Lei Zhang, Jie Wang, Hua Wang, Manfredo Atzori und 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)

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

Louis Fabrice Tshimanga, Andrea Zanola, Federico Del Pup und Manfredo Atzori, TokenUNet: A new case for transformers integration in efficient and interpretable 3D UNets for brain imaging segmentation (2026), in: PloS one, 21:8(e0354511)

Kaiyuan Yang, Fabio Musio, Yihui Ma, Norman Juchler, Johannes C Paetzold, Rami Al-Maskari, Luciano Höher, Hongwei Bran Li, Ibrahim Ethem Hamamci, Anjany Sekuboyina, others und Henning Müller, The TopCoW Challenge—Topology-Aware Circle of Willis Segmentation for CT and MR Angiography (2026), in: NEJM AI, 3:8(AIdbp2500994)

Alessandro Munoz JdeS, Miren Aurkene Alzua-Sorzabal und Roland Schegg, From Disintermediation to Digital Reintermediation: Evidence from Madrid Hotels and European Benchmark Studies (2026), in: Tourism and Hospitality, 7:9(261)

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Elia Pacioni, Valerio Crocetti und Davide Calvaresi, Toward Intelligent Skill Discovery in A2A via Fine-Tuned Small Language Models, in: 24th International Conference of the Italian Association for Artificial Intelligence, AIxIA, Perugia (Italy), Springer, 2026

Traldi Andrea, Francesco Bruschetti, Marco Robol, Davide Calvaresi, Marco Roveri und Paolo Giorgini, Real-Time BDI Agents: A Model and Its Implementation, 2022

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Bhattacharya Sukriti, Rachele Carli, Igor Tchappi, Amro Najjar und Davide Calvaresi, Balancing Ethical Persuasion and Explanation Transparency in XAI: A Formal Framework for Adaptive User Interactions, in: In Proceedings EXTRAAMAS 2025, 2025

Rachele Carli und Davide Calvaresi, Shattering the Illusion of Formal Compliance: Digital Consent as an Explainable Socio-Technical Process, in: In Proceedings of EXTRAAMAS 2026, 2026

Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems, Springer, 2026

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Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems, 2025

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Davide Calvaresi, Amro Najjar, Andrea Omicini, Reyhan Aydoğan, Rachele Carli, giovanni ciatto, Joris Hulstijn und Kary Främling, Explainable and Transparent AI and Multi-Agent Systems, Springer, LNAI, 2024

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Davide Calvaresi, Amro Najjar, Andrea Omicini, Reyhan Aydoğan, Rachele Carli, giovanni ciatto, Yazan Mualla und Kary Främling, Explainable and Transparent AI and Multi-Agent Systems, Springer, LNAI, 2023

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Mario Trerotola, Davide Calvaresi und Domenico Parente, Towards Explainable Detection of Money Laundering in Transaction Networks, in: Proceedings of WIRN 2026, Salerno, Italy, 2026

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Mario Trerotola, Davide Calvaresi und Domenico Parente, Blockchain Fraud Detection for Explainable Forensic Investigations, in: Proceedings of DSA ISC 2026, Madrid, Spain, 2026

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Valerio Crocetti, Elia Pacioni, Aldo Franco Dragoni, Michael Schumacher und Davide Calvaresi, AiDER: Auditing and Document Evaluation via Rule Compilation and Small Language Models - An Education Case Study, in: 24th International Conference of the Italian Association for Artificial Intelligence, Perugia, Italy, Springer, 2026

Elia Pacioni, Valerio Crocetti, Andrei C. Coman, Davide Calvaresi, Gaetano Manzo und Michael Schumacher, Autonomous Skill Development: Neuro-Symbolic Agents that Self-Generate Verifiable Tools, in: 24th International Conference of the Italian Association for Artificial Intelligence, Perugia, Springer, 2026

Gözde Ayşe Tataroğlu Özbulak, Yash Raj Shrestha und Jean-Paul Calbimonte, Bridging dynamics and semantics: A unified perspective on explainable Graph Neural Networks based stream reasoning (2026), in: Knowledge-Based Systems, 351(116662)

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Federico Spagnolo, Pedro M. Gordaliza, Po-Jui Lu, Mario Ocampo-Pineda, Xinjie Chen, Esther Ruberte, Matthias Weigel, Tommaso Sirito, Alessandro Cagol, Meritxell Bach Cuadra, Vincent Andrearczyk, Adrien Depeursinge und Cristina Granziera, Foundation Model–Enhanced Classification of Paramagnetic Rim Lesions in Multiple Sclerosis, MSToronto2026 – 10th Joint ACTRIMS-ECTRIMS Meeting, 2026

Ferris Borràs Lluis, Adriano Dias, Jakub Mlynar, Mélanie Champendal, Ricardo Ribeiro, John O. Prior, Mario Jreige und Adrien Depeursinge, The QuantImage v2 Online Platform for Interactive Radiomics AI Education and Advanced Model Interpretation, Swiss Congress of Radiology (SCR), 2026

Luca Da Silva, John O. Prior, Niklaus Schaefer, Adrien Depeursinge, Vincent Andrearczyk und Mario Jreige, Prognostic value of PSMA theranostic imaging in mCRPC using a fully automatic AI pipeline, Annual Congress of the European Association of Nuclear Medicine (EANM), 2026

Grégory Mermoud, Glory Mary Givi, Raphaël Lüthi, Volodymyr Trotsiuk, Nenad Potočić, Tanja GM Sanders, Bruno De Vos, Stefan Hunziker und Arthur Gessler, Drivers of tree growth across Europe: An explainable AI analysis of tree- and site-level influences (2026), in: Ecological Informatics, 97:103932

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Emmanuel Salim, Jeanne Fournier, Ephraim Gerber, Emmanuel Fragnière und Leila Kebir, Summer Glacier Skiing Amid Climate Change: What Does Production Transformation Mean For Sustainability? (2024), in: Eunomia, 2:108(27-40)

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Ephraim Gerber, Jeanne Fournier, Emmanuel Salim, Emmanuel Fragnière und Leila Kebir, Systems thinking to adapt tourism to climate change: Application to summer glacier skiing in Switzerland (2025), in: Annals of Tourism Research Empirical Insights, 6:1

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Jeanne Fournier, Ephraim Gerber, Emmanuel Fragnière, Emmanuel Salim und Leila Kebir, Systemic thinking in mountain research impacts (2026), in: Annals of Tourism Research Empirical Insights, 7:1

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George Karun Kurian, Paolo Salvioni Chiabotti, Caroline Hall, Noemie Lejay, Jérémy Perriraz, Olivier Rouaud, Adrien Depeursinge, Marie Nicod-Lalonde, Niklaus Schaefer, Gilles Allali, John O. Prior und Mario Jreige, Contribution of quantitative I-123-ioflupane SPECT/CT to the differential diagnosis of dementia with lewy bodies (2026), in: European Journal of Nuclear Medicine and Molecular Imaging, 53:4(2777--2785)

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