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Arthur Chevalley, Valentin Oreiller, Julien Fageot, John O. Prior, Vincent Andrearczyk and Adrien Depeursinge, A Bispectral 3D UNet for Rotation Robustness in Medical Segmentation, in: The First Workshop on Topology- and Graph-Informed Imaging Informatics at MICCAI, 2024

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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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, páginas 58-78, Springer Nature Switzerland, 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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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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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

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

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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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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Jakub Mlynar, Lynn de Rijk, Andreas Liesenfeld, Wyke Stommel and Saul Albert, AI in situated action: A scoping review of ethnomethodological and conversation analytic studies (2024), in: AI & Society

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

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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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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Vincent Andrearczyk, Luis Schiappacasse, Daniel Abler, Marek Wodzinski, Andreas Hottinger, Matthieu Raccaud, Jean Bourhis, John O. Prior, Vincent Dunet and Adrien Depeursinge, Automatic Detection and Multi-Component Segmentation of Brain Metastases in Longitudinal MRI (2024), in: Nature Scientic Reports

Anne-Dominique Salamin, David Russo and Danièle Rueger, ChatGPT, an excellent liar: How conversational agents’ hallucinations impact learning and teaching, 7th International conference on Teaching, Learning and Education Copenhague 2023, 2024

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Oscar Jimenez del Toro, Christoph Aberle, Roger Schaer, Michael Bach, Kyriakos Flouris, Ender Konukoglu, Bram Stieltjes, Markus Obmann, André Anjos, Henning Müller and Adrien Depeursinge, Comparing Stability and Discriminatory Power of Handcrafted Versus Deep Radiomics: A 3D-Printed Anthropomorphic Phantom Study, in: 12th IEEE European Workshop on Visual Information Processing, páginas 62-66, 2024

Sacha Bors, Daniel Abler, Matthieu Dietz, Vincent Andrearczyk, Julien Fageot, Marie Nicod-Lalonde, Niklaus Schaefer, Robert DeKemp, Christel H. Kamani, John O. Prior and Adrien Depeursinge, Comparing various AI approaches to traditional quantitative assessment of the myocardial perfusion in [82Rb] PET for MACE prediction (2024), in: Nature Scientific Reports, 14:9644

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Mina Aghaei Dinani, Gianluca Rizzo, Adrien holzer, Hung Nguyen and Marco G Ajmone Marsan, Context-Aware Orchestration of Energy-Efficient Gossip Learning Schemes, 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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Gianluca Rizzo, Decentralized Coordination for Multi-Agent Data Collection in Dynamic Environments (2024), in: IEEE Transaction on Mobile Computing

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Jakub Mlynar, Roger Schaer, Adrien Depeursinge, Daniel Abler, Mario Jreige, John O. Prior and Florian Evéquoz, Design implications of repurposing a radiomics research platform for education: The case of QuantImage v2, 2024

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Federico Spagnolo, Susanna Gobbi, Enikő Zsoldos, Manon Edde, Matthias Weigel, Cristina Granziera, Maxime Descoteaux, Muhamed Barakovic and Stefano Magon, Down-sampling in diffusion MRI: a bundle-specific DTI and NODDI study (2024), in: Frontiers in Neuroimaging, 3

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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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Vincent Grèzes, Sandra Grèzes and Marc Schnyder, Entwicklung von Kreislaufwirtschaftslösungen im Tourismus, Schmidt, Erich (Verlag), Neue Arbeitswelten und nachhaltiges Destinationsmanagement im alpinen Tourismus, Schweizer Jahrbuch für Tourismus 2023/2024, 2024

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

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, páginas 165 -- 168, IEEE, 2024

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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

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

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

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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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

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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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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Pieter Bonte, Jean-Paul Calbimonte, Daniel de Leng, Daniele Dell'Aglio, Emanuele Della Valle, Thomas Eiter, Federico Giannini, Fredrik Heintz, Konstantin Schekotihin, Danh Le-Phuoc, Alessandra Mileo, Patrik Schneider, Riccardo Tommasini, Jacopo Urbani and Giacomo Ziffer, Grounding Stream Reasoning Research (2024), in: Transactions on Graph Data and Knowledge, 2:1(2:1--2:47)

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Christoph Aberle, Michael Bach, Oscar Jimenez del Toro, Roger Schaer, Kyriakos Flouris, Ender Konukoglu, Henning Müller, Adrien Depeursinge and Markus Obmann, Influence of CT Scanners on Radiomics Features in Abdominal CT: A Multicenter Phantom Study, in: European Congress of Radiology, 2024

Federico Spagnolo, Nataliia Molchanova, Roger Schaer, Mario Ocampo-Pineda, Meritxell Bach Cuadra, Lester Melie-Garcia, Cristina Granziera, Vincent Andrearczyk and Adrien Depeursinge, Instance-level explanations in multiple sclerosis lesion segmentation: a novel localized saliency map, in: ISMRM 2024, 2024

Federico Spagnolo, Nataliia Molchanova, Roger Schaer, Meritxell Bach Cuadra, Mario Ocampo-Pineda, Lester Melie-Garcia, Cristina Granziera, Vincent Andrearczyk and Adrien Depeursinge, Instance-level quantitative saliency in multiple sclerosis lesion segmentation (2024), in: arxiv

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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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Yuriy Marykovskiy, Thomas Clark, Justin Day, Marcus Wiens, Charles Henderson, Julian Quick, Imad Abdallah, Anna Maria Sempreviva, Jean-Paul Calbimonte, Eleni Chatzi and Sarah Barber, Knowledge engineering for wind energy (2024), in: Wind Energy Science, 9:4(883--917)

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Vincent Grèzes, Les conditions cadres favorables à l'économie circulaire, in: L'économie circulaire: Entre retour aux sources et innovation., Carrefour de la Transition, Sion, 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

Daphné Faist, Silvano Gnesin, Siria Medici, Alysée Khan, Marie Nicod-Lalonde, Niklaus Schaefer, Adrien Depeursinge, Maurizio Conti, Joshua Schaefferkoetter, Mario Jreige and John O. Prior, Lung lesion detectability on decimated and CNN-based denoised 18F-FDG PET/CT, in: Swiss Congress of Radiology, 2024

Jakub Mlynar, Adrien Depeursinge, John O. Prior, Roger Schaer, Alexandre Martroye de Joly and Florian Evéquoz, Making sense of radiomics: Insights on human-AI collaboration in medical interaction from an observational user study (2024), in: Frontiers in Communication, 8

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Burak Kocak, Akinci D'Antonoli Tugba, Nathaniel Mercaldo, Angel Alberich-Bayarri, Bettina Baessler, Ambrosini Ilaria, Andreychenko Anna E., Spyridon Bakas, Beets-Tan Regina G.H, Keno Bressem, Irène Buvat, Roberto Cannella, Cappellini Alessandro Luca, Cavallo Ugo Armando, Chepelev L. Leonid, Chi Linda, Chu Hang, Demircioglu Aydin, deSouza M. Nandita, Dietzel Matthias, Fanni Claudio Salvatore, Andrey Fedorov, Fournier S. Laure, Giannini Valentina, Girometti Rossano and Henning Müller, METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII (2024), in: Insights into Imaging, 2023

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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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Laura Finarelli, Falko Dressler, Marco G Ajmone Marsan and Gianluca Rizzo, Mobile Networks on the Move: Optimizing Moving Base Stations Dynamics in Urban Scenarios (2024), in: VNC

Gianluca Rizzo and Laura Finarelli, Mobile Networks on the Move: Optimizing Moving Base Stations Dynamics in Urban Scenarios, IEEE VNC, 2024

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

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tempo de processamento: 0.5017 segundos.