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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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Sara Montagna, Stefano Mariani, Michael Schumacher und Gaetano Manzo, Agent-based systems in healthcare (2024), in: Computer Methods and Programs in Biomedicine, 248:248

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Gianluca Rizzo, Green Operations of SWIPT Networks: The Role of End-User Devices (2025), in: IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING

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Gianluca Rizzo, UNITY-6G: UNified archITecture for Open RAN-Enabled Distributed, Scalable and SustainabilitY-Enhanced 6G Networks, IEEE, IEEE EUCNC, 2025

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Jorge Alvarado Diaz, Elia Pacioni und Francisco Fernández de Vega, Beneficios mutuos de la enseñanza-aprendizaje máquina-humano, in: XVI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (maeb 2025), San Sebastián, Spain, 2025

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Jakub Mlynar, M. Champendal, Lluis Borràs Ferrís, R. S. T. Ribeiro und Adrien Depeursinge, Unraveling AI imaginaries in radiomics: Beyond exoticism, mentalism, and technologism, "10th STS Italia Conference - Technoscience for Good: Designing, Caring, and Reconfiguring", 2025

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Vincent Grèzes und Line Pillet, nternational and Cultural Aspects of Academic and Educational Entrepreneurship., Kapitel In: Aldogan Eklund, M., Wanzenried, G. (eds) Academic and Educational Entrepreneurship, Springer Texts in Business and Economics. Springer, Cham., 2022

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Elia Pacioni und Francisco Fernández de Vega, Combining local search and directed mutation in evolutionary approaches to 4-part harmony, in: Artificial Intelligence in Music, Sound, Art and Design: 14th International Conference, EvoMUSART 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings, Trieste, Italy, Seiten 141-155, Springer, 2025

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Claudia Huber, Michael Schumacher, Kris Denhaerynck, Angus Forbes und Giacomo Gastaldi, Protocol for a mixed-methods research project to develop and test the feasibility of a virtual nursing intervention promoting engagement and self-management in diabetes: the PIAVIR study (2024), in: International Diabetes Nursing, 17

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Elia Pacioni, Eugenio Abengózar, Miguel Macías Macías, Carlos J García Orellana, Horacio M González Velasco und Antonio García Manso, Vineyard dataset for automatic pruning based on main parts localization (2025), in: Data in Brief, Elsevier, 59

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Elia Pacioni, Francisco Fernández de Vega und Davide Calvaresi, FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with non-IID data, in: Applications of Evolutionary Computation: 28th European Conference EvoApplications 2025 Helds as Part of EvoStar 2025, Trieste, Italy, April 23-25, 2025, Trieste, Italy, Seiten 419–434, Springer, 2025

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Elia Pacioni, Francisco Fernández de Vega und Davide Calvaresi, Towards a Meaningful Communication and Model Aggregation in Federated Learning via Genetic Programming, in: Proceedings of the 17th International Conference on Agents and Artificial Intelligence: ICAART, Porto, Portugal, Seiten 1427-1431, Springer, 2025

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Ismael Jaggi, Rachele Carli, Berk Buzcu, Michael Schumacher und Davide Calvaresi, Consent Understanding and Verification for Personalized Assistive Systems, in: Proceedings of the 17th International Conference on Agents and Artificial Intelligence: ICAART, INSTICC, Porto, Portugal, Seiten 694-701, SciTePress, 2025

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Ismael Jaggi, Sebastien Eyholzer, Luc Faudeil, Alain Duc und Michael Schumacher, Shift Planning Optimization in Regional Home Care Services in Switzerland, in: Artificial Intelligence days HES-SO, Seiten 6, 2025

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Davide Calvaresi, Rachele Carli, Simona Tiribelli, Berk Buzcu, Reyhan Aydoğan, Andrea Di Vincenzo, Yazan Mualla, Michael Schumacher und Jean-Paul Calbimonte, Computational persuasion technologies, explainability, and ethical-legal implications: A systematic literature review (2025), in: Computers in Human Behavior Reports, 17(100577)

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Helia Givian, Jean-Paul Calbimonte und {and for the Alzheimer’s Disease Neuroimaging Initiative}, Early diagnosis of Alzheimer’s disease and mild cognitive impairment using MRI analysis and machine learning algorithms (2024), in: Discover Applied Sciences, 7:1(27)

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Camille Noirot, Daniel Abler, Laura Haefliger, Styliani Mantziari, Markus Schäfer, Naïk Vietti Violi, Adrien Depeursinge, Clarisse Dromain und Mario Jreige, Integrating MRI and PET/CT Radiomics for Enhanced Survival Prediction in Esophageal Cancer, in: European Congress of Radiology, 2025

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Pedro M. Gordaliza, Nataliia Molchanova, Maxence Wynen, Pietro Maggi, joost janssen, jaume banus, Alessandro Cagol, Cristina Granziera und Meritxell Bach Cuadra, Towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative Modeling, 2024

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Nataliia Molchanova, Raina Vatsal, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark Gales, Cristina Granziera, Henning Müller, Mara Graziani und 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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Nataliia Molchanova, Alessandro Cagol, Pedro M. Gordaliza, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Chen Xinjie, Adrien Depeursinge, Cristina Granziera, Henning Müller und Meritxell Bach Cuadra, Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis, 2024

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Berkecan Koçyiğit, Berk Buzcu, Davide Calvaresi, Zehra Kesemen, Joris Hulstijn, Igor Tchappi und Reyhan Aydoğan, Effects of Communication Channels on Explainable Food Recommendation Systems, in: In post proceedings of 8th EAI International Conference on Robotic Sensor Networks, Seiten 15, 2024

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Amy Liffey, Davide Calvaresi, Lora Fanda und René Schumann, SimEx: The Art of Systematic Exploration, PuK Workshop, Würzburg, 2024

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Zhan Liu, Anne Darbellay, Nicole Glassey Balet und Valérie Vuille, Advancing Gender Equality in Media: Tackling Stereotypes and Biases with AI, in: 16th International Conference on Intelligent Decision Technologies, Madeira, Portugal, Seiten 413-424, Springer, 2024

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Caterina Tartari, Fabio Porões, Sabine Schmidt, Daniel Abler, Thomas Vetterli, Adrien Depeursinge, Clarisse Dromain und Naïk Vietti Violi, MRI and CT radiomics for the diagnosis of acute pancreatitis (2025), in: European Journal of Radiology Open

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Federico Spagnolo, Aarushi Bhardwaj, Pedro M. Gordaliza, Po-Jui Lu, Mario Ocampo-Pineda, Meritxell Bach Cuadra, Xinjie Chen, Batuhan Ayci, Alessandro Cagol, Vincent Andrearczyk, Adrien Depeursinge und Cristina Granziera, Deep-PRL: a deep learning network for the identification of paramagnetic rim lesions in multiple sclerosis, in: ISMRM 2025, 2025

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Daphné Faist, Silvano Gnesin, Siria Medici, Alysée Khan, Marie Nicod Lalonde, Niklaus Schaefer, Adrien Depeursinge, Maurizio Conti, Joshua Schaefferkoetter, John O. Prior und Mario Jreige, Lung lesion detectability on images obtained from decimated and CNN-based denoised [18F]-FDG PET/CT scan: An observer-based study for lung-cancer screening (2025), in: European Journal of Nuclear Medicine and Molecular Imaging

Johannes Rückert, Asma Ben Abacha, Alba García Seco de Herrera, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Benjamin Bracke, Hendrik Damm, Tabea M. G. Pakull, Cynthia Sabrina Schmidt, Henning Müller und Christoph M. Friedrich, Overview of ImageCLEFmedical 2024 - Caption Prediction and Concept Detection, in: Conference and Labs of the Evaluation Forum, 2024

Bogdan Ionescu, Henning Müller, Ana-Maria Drăgulinescu, Johannes Rückert, Asma Ben Abacha, Alba García Seco de Herrera, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Cynthia Sabrina Schmidt, Tabea M. G. Pakull, Hendrik Damm, Benjamin Bracke, Christoph M. Friedrich, Alexandra-Georgiana Andrei, Yuri Prokopchuk, Dzmitry Karpenka, Ahmedkhan Radzhabov, Vassili Kovalev, Cécile Macaire, Didier Schwab, Benjamin Lecouteux, Emmanuelle Esperança-Rodier, Wen-Wai Yim, Yujuan Fu, Zhaoyi Sun, Meliha Yetisgen, Fei Xia, Steven A. Hicks, Michael A. Riegler, Vajira Thambawita, Andrea Storås, Pal Halvorsen, Maximilian Heinrich, Johannes Kiesel, Martin Potthast und Benno Stein, Overview of the 2024 ImageCLEFmedical GANs Task – Investigating Generative Models’ Impact on Biomedical Synthetic Images, SpringerLink, 2024

Anjani Dhrangadhariya, Gaetano Manzo und Henning Müller, PICO to PICOS: Weak Supervision to Extend Datasets with New Labels (2024), in: Stud Health Technol Inform, Volume 316: Digital Health and Informatics Innovations for Sustainable Health Care Systems(1775 - 1779)

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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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Simon Püttmann, Lluis Borràs Ferrís, Niccolò Marini, Witali Aswolinsky, Simona Vatrano, Filippo Fragetta, Iris Nagtegaal, Chella van der Post, Francesco Ciompi, Manfredo Atzori, Christoph Friedrich und Henning Müller, Automated classification of celiac disease in histopathological images: a multi-scale approach, in: Computer-Aided Diagnosis, SPIE Medical Imaging, 2024

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Nicolas Devanthery, Natalie Heracleous, Benoit Dufour, Jean-Daniel Fardel, Benoit Rizk, Hugues Brat, Cyril Thouly, Henning Müller, Federica Zanca und Lluis Borràs Ferrís, Structured radiology report text analysis using natural language processing for automatic billing, in: Image Perception, Observer Performance, and Technology Assessment, 2024

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Anastasiia Rozhyna, Manfredo Atzori und Henning Müller, A comparative study of deep convolutional neural networks for the analysis of retinal damage in optical coherence tomography, in: Imaging Informatics for Healthcare, Research, and Applications, 2024

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Lluis Borràs Ferrís, Simon Püttmann, Niccolò Marini, Simona Vatrano, Filippo Fragetta, Alessandro Caputo, Francesco Ciompi, Manfredo Atzori und Henning Müller, A full pipeline to analyze lung histopathology images, in: Digital and Computational Pathology, SPIE Medical Imaging, 2024

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Marek Wodzinski und Henning Müller, Patch-Based Encoder-Decoder Architecture for Automatic Transmitted Light to Fluorescence Imaging Transition: Contribution to the LightMyCells Challenge (2024), in: (pre-print)

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Nicola Ferro, Julio Gonzalo, Jussi Karlgren und Henning Müller, The CLEF 2024 Monster Track: One Lab to Rule Them All, in: Lecture Notes in Computer Science , 2024

Alexis Joly, Lukas Picek, Stefan Kahl, Hervé Goëau, Vincent Espitalier, Christophe Botella, Benjamin Deneu, Diego Marcos, Joaquim Estopinan, Cesar Leblanc, Théo Larcher, Milan Šulc, Marek Hruz, maximilien Servajean, Jiří Matas, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom denton, Andrew M. Durso, Ivan Eggel, Pierre Bonnet und Henning Müller, LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification, ECIR 2024, 2024

Bogdan Ionescu, Henning Müller, Ana Maria Drăgulinescu, Ahmad Idrissi-Yaghir, Ahmedkhan Radzhabov, Alba Garcia Seco de Herrera, Alexandra Andrei, Alexandru Stan, Andrea M. Storas, Asma Ben Abacha, Benjamin Lecouteux, Benno Stein, Cécile Macaire, Christoph M. Friedrich, Cynthia Sabrina Schmidt, Didier Schwab, Emmanuelle Esperança-Rodier, George Ioannidis, Griffin Adams, Henning Schäfer, Hugo Manguinhas, Ioan Coman, Johanna Schöler, Johannes Kiesel, Johannes Rückert, Louise Bloch, Martin Potthast, Maximilian Heinrich, Meliha Yetisgen, Michael A. Riegler, Neal Snider, Pal Halvorsen, Raphael Brüngel, Steven A. Hicks, Vajira Thambawita, Vassili Kovalev, Yuri Prokopchuk und Wen-Wai Yim, Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024, ECIR 2024, 2024

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Bogdan Ionescu, Henning Müller, Ana-Maria Drăgulinescu, Johannes Rückert, Asma Ben Abacha, Alba García Seco de Herrera, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Cynthia Sabrina Schmidt, Tabea M. G. Pakull, Hendrik Damm, Benjamin Bracke, Christoph M. Friedrich, Alexandra-Georgiana Andrei, Yuri Prokopchuk, Dzmitry Karpenka, Ahmedkhan Radzhabov, Vassili Kovalev, Cécile Macaire, Didier Schwab, Benjamin Lecouteux, Emmanuelle Esperança-Rodier, Wen-Wai Yim, Yujuan Fu, Zhaoyi Sun, Meliha Yetisgen, Fei Xia, Steven A. Hicks, Michael A. Riegler, Vajira Thambawita, Andrea Storås, Pal Halvorsen, Maximilian Heinrich, Johannes Kiesel, Martin Potthast und Benno Stein, Overview of the ImageCLEF 2024: Multimedia Retrieval in Medical Applications, 2024

M. Champendal, R. S. T. Ribeiro, Henning Müller, John O. Prior und C. Sá dos Reis, Nuclear medicine technologists practice impacted by AI denoising applications in PET/CT images (2024), in: Nuclear medicine technologists practice impacted by AI denoising applications in PET/CT images

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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Marek Wodzinski, Niccolò Marini, Manfredo Atzori und Henning Müller, RegWSI: Whole slide image registration using combined deep feature- and intensity-based methods: Winner of the ACROBAT 2023 challenge (2024), in: Computer Methods and Programs in Biomedicine

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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

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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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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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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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Daniel Reichenpfader, Henning Müller und Kerstin Denecke, A scoping review of large language model based approaches for information extraction from radiology reports (2024), in: NPJ Digital Medicine

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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

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Beddiaf Farouk und René Schumann, Modeling Coopetition Dynamics Using Agent-Based Approaches, PuK September 2024, JMU Würzburg, 2024

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Esther González-Martínez und Jakub Mlynar, Audibility and Intelligibility of Talk in Passing-By Interactions: A Methodological Puzzle (2024), in: Forum: Qualitative Sozialforschung / Forum: Qualitative Social Research, 25:3

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