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| 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 | 901-950 | 951-1000 | 1001-1050 | 1051-1100 | 1101-1150 | 1151-1200 | 1201-1250 | 1251-1300 | 1301-1350 | 1351-1400 | 1401-1450 | 1451-1500 | 1501-1550 | 1551-1600 | 1601-1650 | 1651-1700 | 1701-1750 | 1751-1800 | 1801-1850 | 1851-1900 | 1901-1950 | 1951-2000 | 2001-2050 | 2051-2100 | 2101-2150 | 2151-2200 | 2201-2250 | 2251-2300 | 2301-2350 | 2351-2400 | 2401-2450 | 2451-2500 | 2501-2550 | 2551-2600 | 2601-2650 | 2651-2700 | 2701-2750 | 2751-2800 | 2801-2850 | 2851-2873 |

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 and 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 and Benno Stein, Overview of the 2024 ImageCLEFmedical GANs Task – Investigating Generative Models’ Impact on Biomedical Synthetic Images, SpringerLink, 2024

Anjani Dhrangadhariya, Gaetano Manzo and 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 and 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 and 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 and 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 and 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 and 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 and 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 and 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 and 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 and 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 and Benno Stein, Overview of the ImageCLEF 2024: Multimedia Retrieval in Medical Applications, 2024

M. Champendal, R. S. T. Ribeiro, Henning Müller, John Prior and 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 and 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 and 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 and Christoph M. Friedrich, ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset (2024), in: Nature Scientific Data

[DOI]

Gianluca Rizzo and Laura Finarelli, Assessing the Benefits of Moving Base Stations in Urban 6G Networks, IEEE, 2024

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

[DOI]

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

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

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Esther González-Martínez and 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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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 and Paul F. Jäger, Metrics reloaded: recommendations for image analysis validation (2024), in: Nature Methods

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Gianluca Rizzo, A Stochastic Geometry approach to performance modeling of SWIPT vehicular networks, 2024

Gianluca Rizzo, Decentralized Coordination for Multi-Agent Data Collection in Dynamic Environments (2024), in: IEEE Transaction on Mobile Computing

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Gianluca Rizzo, United We Stand: Decentralized Multi-Agent Planning With Attrition, in: 27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2024

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Vincent Grèzes, Riccardo Bonazzi and Sandra Grèzes, Fast Circular Economy Solutions: Leveraging AI to Enhance Coupled Open Innovation Hybrid Matchmaking Platforms, 11th Annual World Open ‎Innovation Conference, 2024

Vincent Grèzes, Reflexive Knowledge Capture for Technological Competitive Intelligence - A Hybrid Competitive Intelligence Process, Dubrovnik, Croatia, ENTerprise REsearch InNOVAtion Conference - ENTRENOVA, 2024

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Sandra Grèzes and Vincent Grèzes, Analysing and Designing Circular Value Networks for Sustainable Tourism – a Case Study, Dubrovnik, Croatia, ENTerprise REsearch InNOVAtion Conference - ENTRENOVA, 2024

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Vincent Grèzes and Camille Sauthier, Trend Design with a Collaborative Design Artefact to Identify and Analyze Longitudinal Trends: “The Trends Flower”, Dubrovnik, Croatia, ENTerprise REsearch InNOVAtion Conference - ENTRENOVA, 2024

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Vincent Grèzes and Jakub Mlynar, When Researchers Should Stop Researching? An Exploratory Study, Dubrovnik, Croatia, ENTerprise REsearch InNOVAtion Conference - ENTRENOVA, 2024

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Hamed Alavi and Jakub Mlynar, Dangers of Designing with Data, in: DIS '24 Companion: Companion Publication of the 2024 ACM Designing Interactive Systems Conference, ACM, 2024

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Banani Anuraj, Davide Calvaresi, Jean-Marie Aerts and Jean-Paul Calbimonte, Dynamic Swarm Orchestration and Semantics in IoT Edge Devices: A Systematic Literature Review (2024), in: IEEE Access, 12(116917--116938)

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Federico Spagnolo, Pedro M. Gordaliza, Po-Jui Lu, Mario Ocampo-Pineda, Xinjie Chen, Matthias Weigel, Maxence Wynen, Martina Absinta, Pietro Maggi, Meritxell Bach Cuadra, Vincent Andrearczyk, Adrien Depeursinge and Cristina Granziera, Explainability in automatic Paramagnetic Rim Lesion classification, in: 40th Congress Of The European Committee For Treatment And Research In Multiple Sclerosis (ECTRIMS), 2024

Nataliia Molchanova, Alessandro Cagol, Pedro M. Gordaliza, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Adrien Depeursinge, Cristina Granziera, Henning Müller and Meritxell Bach Cuadra, Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis, Springer, 2024

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Nataliia Molchanova, Bénédicte Maréchal, Jean‐Philippe Thiran, Tobias Kober, Till Huelnhagen and Jonas Richiardi, Fast refacing of MR images with a generative neural network lowers re‐identification risk and preserves volumetric consistency (2024), in: Human Brain Mapping, 45:9

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Onur Keskin, Berk Buzcu, Berkecan Koçyiğit, Umut Çakan, Anıl Doğru and Reyhan Aydoğan, NEGOTIATOR: A Comprehensive Framework for Human-Agent Negotiation Integrating Preferences, Interaction, and Emotion, in: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence Demo Track, pages 8700-8703, International Joint Conferences on Artificial Intelligence Organization, 2024

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Federico Spagnolo, Nataliia Molchanova, Mario Ocampo-Pineda, Lester Melie-Garcia, Meritxell Bach Cuadra, Cristina Granziera, Vincent Andrearczyk and Adrien Depeursinge, Exploiting XAI maps to improve MS lesion segmentation and detection in MRI, in: Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI, 2024

Helia Givian and Jean-Paul Calbimonte, A Review on Machine Learning Approaches for Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment Based on Brain MRI (2024), in: IEEE Access, 12(109912--109929)

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Krešimir Kušić, Davide Calvaresi, Amy Liffey, Lora Fanda, Martin Gregurić, Edouard Ivanjko and René Schumann, Evaluation of Traffic Controller Performance via Systematic Exploration, in: Post-proceedings of the 66th International Symposium ELMAR-2024, Zadar, Croatia, pages 165 -- 168, IEEE, 2024

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Berk Buzcu, Emre Kuru, Davide Calvaresi and Reyhan Aydoğan, Evaluation of the User-centric Explanation Strategies for Interactive Recommenders, in: Post-proceedings in the 6th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems, 2024

Berk Buzcu, Yvan Pannatier, Reyhan Aydoğan, Michael Schumacher, Jean-Paul Calbimonte and Davide Calvaresi, A Framework for Explainable Multi-purpose Virtual Assistants: A Nutrition-Focused Case Study, in: In post-proceedings of the 6th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems, pages 58-78, Springer Nature Switzerland, 2024

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Rachele Carli and Davide Calvaresi, The Wildcard XAI: from a Necessity, to a Resource, to a Dangerous Decoy (2024), in: In post-proceedings of the 6th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems

Victor H. Contreras, Michael Schumacher and Davide Calvaresi, Explanation of Deep Learning Models via Logic Rules Enhanced by Embeddings Analysis, and Probabilistic Models, in: Post-proceedings of the 6th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems, 2024

Berk Buzcu, Davide Calvaresi, Banani Anuraj and Jean-Paul Calbimonte, Towards Dynamic Self-Organizing Wearables for Head and Neck Digital Rehabilitation, in: Proceedings of the 18th ACM International Conference on Distributed and Event-based Systems, ACM, 2024

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Simona Tiribelli and Davide Calvaresi, Rethinking Health Recommender Systems for Active Aging: An Autonomy-Based Ethical Analysis (2024), in: Science and Engineering Ethics

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Mina Aghaei Dinani, Antonio Di Maio and Gianluca Rizzo, Gossip Learning in Edge-Retentive Time-Varying Random Graphs with Node Churn, 2024

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