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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 | 2851-2891 |

Mélanie Champenal, Claudia Dos Reis, John O. Prior and Henning Müller, Review about explainable artificial intelligence in medical imaging, in: Eurosomii Meeting, Pisa, Italy, 2023

Mario Martínez-Zarzuela, Javier González-Alonso, Míriam Antón-Rodríguez, Francisco J Díaz-Pernas, Henning Müller and Cristina Simon-Martinez, VIDIMU. Multimodal video and IMU kinematic dataset on daily life activities using affordable devices (2023), in: Nature Scientific Data

Johannes Rückert, Asma Ben Abacha, Alba García Seco de Herrera, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Henning Müller and Christoph Friedrich, Overview of ImageCLEFmedical 2023 – Caption Prediction and Concept Detection, in: CLEF working Notes, Thessaloniki, Greece, 2023

Laura Menotti, Gianmaria Silvello, Manfredo Atzori, Svetla Boytcheva, Francesco Ciompi, Giorgio Maria Di Nunzio, Filippo Fraggetta, Fabio Giachelle, Ornella Irrera, Stefano marchesin and others, Modelling digital health data: The ExaMode ontology for computational pathology (2023), in: Journal of Pathology Informatics(100332)

Burak Kocak, Bettina Baessler, Spyridon Bakas, Renato Cuocolo, Andrey Fedorov, Lena Maier-Hein, Nathaniel Mercaldo, Henning Müller, Fanny Orlhac, Daniel Pinto dos Santos and others, CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII (2023), in: Insights into Imaging, 14:1(1--13)

Bogdan Ionescu, Henning Müller, Ana Maria Dr{\u{a}}gulinescu, Yim Wen-Wai, Asma Ben Abacha, Neal Snide, Griffin Adam, Meliha Yetisgen, Johannes Rückert, Alba Garcıa Seco de Herrera, Christoph M. Friedrich, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Steven Hicks, Michael Riegler, Vajira Thambawita, Andrea M Storås, Pal Halvorsen, Nikolaos Papachrysos, Johanna Schöler, Alexandra-Georgiana Andrei, Ioan Coman, Vassili Kovalev, Ahmedkhan Radzhabov, Yuri Prokopchuk, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Mihai Dogariu, Jerome Deshayes and Adrian Popescu, Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet, in: CLEF 2023 proceedings, Springer, Thessaloniki, Grece, 2023

Bogdan Ionescu, Henning Müller, Ana Maria Dr{\u{a}}gulinescu, Adrian Popescu, Ahmad Idrissi-Yaghir, Alba Garcıa Seco de Herrera, Alexandra Andrei, Alexandru Stan, Andrea M Storås, Asma Ben Abacha and others, ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications, in: European Conference on Information Retrieval, Springer, páginas 557--567, 2023

Artur Jurgas, Marek Wodzinski, Weronika Celniak, Manfredo Atzori and Henning Müller, Artifact Augmentation for Learning-based Quality Control of Whole Slide Images, in: EMBC, Sydney, Australia, 2023

Artur Jurgas, Marek Wodzinski and Henning Müller, Robust Multiresolution and Multistain Background Segmentation in Whole Slide Images, in: PCBBE, Lodz, Poland, 2023

Alexis Joly, Hervé Goëau, Stefan Kahl, Lukas Picek, Christophe Botella, Diego Marcos and Henning Müller, LifeCLEF 2023 teaser: Species Identification and Prediction Challenges, in: ECIR 2023, Dublin, Ireland, 2023

Alexis Joly, Christophe Botella, Lukas Picek, Stefan Kahl, Hervé Goeau, Benjamin Deneu, Diego Marcos, Joaquim Estopinan, Rail Chamidullin, Milan Šulc, Marek Hruz, maximilien Servajean, Benjamin Kellenberger, Elijah Cole, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom denton, Ivan Eggel, Pierre Bonnet and Henning Müller, Overview of LifeCLEF 2023: evaluation of AI models for the identification and prediction of birds, plants, snakes and fungi, in: CLEF 2023 proceedings, Thessaloniki, Greece, 2023

Alexandra Andrei, Ahmedkhan Radzhabov, Ioan Coman, Vassili Kovalev, Bogdan Ionescu and Henning Müller, Overview of the 2023 ImageCLEFmedical GANs Task: Investigating GANs’ Impact on Artificial Biomedical Image Generation, in: CLEF 2023 working notes, 2023

Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrich Ferndinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Kuestner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Loeffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Eduardo A. Garza-Villarreal, Thania Balducci, Diego Angeles-Valdez, Roberto Souza, Leticia Rittner, Richard Frayne, Yuanfeng Ji, Soumick Chatterjee, Andreas Nuernberger, Joao Pedrosa, Carlos Ferreira, Guilherme Aresta, Antonio Cunha, Aurelio Campilho, Yannick Suter, Jose Garcia, Alain Lalande, Emmanuel Audenaert, Claudia Krebs, Timo Van Leeuwen, Evie Vereecke, Rainer Roehrig, Frank Hoelzle, Vahid Badeli, Kathrin Krieger, Matthias Gunzer, Jianxu Chen, Amin Dada, Miriam Balzer, Jana Fragemann, Frederic Jonske, Moritz Rempe, Stanislav Malorodov, Fin H. Bahnsen, Constantin Seibold, Alexander Jaus, Ana Sofia Santos, Mariana Lindo, Andre Ferreira, Victor Alves, Michael Kamp, Amr Abourayya, Felix Nensa, Fabian Hoerst, Alexander Brehmer, Lukas Heine, Lars E. Podleska, Matthias A. Fink, Julius Keyl, Konstantinos Tserpes, Moon-Sung Kim, Shireen Elhabian, Hans Lamecker, Dzenan Zukic, Beatriz Paniagua, Christian Wachinger, Martin Urschler, Luc Duong, Jakob Wasserthal, Peter F. Hoyer, Oliver Basu, Thomas Maal, Max J. H. Witjes, Ping Luo, Bjoern Menze, Mauricio Reyes, Christos Davatzikos, Behrus Puladi, Jens Kleesiek and Jan Egger, MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision, 2023

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Federico Spagnolo, Adrien Depeursinge, Vincent Andrearczyk, Pascal Benkert, Stefanie Müller, Lutz Achtnichts, Jochen Vehoff, Giulio Di Santo, Oliver Findling, Andrew Chan, Anke Salmen, Caroline Pot, Claire Bridel, Chiara Zecca, Tobias Johannes Derfuss, Johanna M. Lieb, Luca Remonda, Franca Wagner, Maria-Isabel Vargas Gomez, Renaud Du Pasquier, Patrice Lalive, Emanuele Pravatà, Johannes Weber, Claudio Gobbi, David Leppert, Nataliia Molchanova, Meritxell Bach Cuadra, Po-Jui Lu, Mario Ocampo-Pineda, Lester Melie-Garcia, Cagol Alessandro, Ludwig Kappos, Jens Kuhle and Cristina Granziera, Identification of paramagnetic rim lesions using conventional MRI - a deep learning approach, in: 39th Congress Of The European Committee For Treatment And Research In Multiple Sclerosis (ECTRIMS), 2023

Andrey Malinin, Andreas Athanasopoulos, Muhamed Barakovic, Meritxell Bach Cuadra, Mark Gales, Cristina Granziera, Mara Graziani, Nikolay Kartashev, Konstantinos Kyriakopoulos, Po-Jui Lu, Nataliia Molchanova, Antonis Nikitakis, Raina Vatsal, Francesco La Rosa, Eli Sivena, Vasileios Tsarsitalidis, Efi Tsompopoulou and Elena Volf, Shifts 2.0: Extending The Dataset of Real Distributional Shifts, arXiv, 2022

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Raina Vatsal, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Po-Jui Lu, Weigel Matthias, Henning Müller, Cristina Granziera, Meritxell Bach Cuadra and Mark Gales, The Normalised Dice Similarity Coefficient for MS: tackling lesion load biases in white matter and cortical lesion segmentation, European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) Conference 2023, 2023

Pedro Gordaliza, Jannis Mueller, Charidimos Tsagkas, Reza Rahmanzadeh, Nataliia Molchanova, Francesco La Rosa, Cristina Granziera and Meritxell Bach Cuadra, FLAWS against flaws: Improving Automated Cortical Lesion Segmentation, European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) Conference 2023, 2023

Joe Najm, Pedro Gordaliza, Maxence Wynen, Francesco La Rosa, Nataliia Molchanova, Colin Vanden Bulcke, Anna Stolting, Mario Ocampo-Pineda, Cagol Alessandro, Po-Jui Lu, Weigel Matthias, Martina Absinta, Cristina Granziera, Pietro Maggi and Meritxell Bach Cuadra, Streamline RimNet: A Deep Learning Classification of Paramagnetic Rim Lesions, European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) Conference 2023, 2023

Omar SM El Nahhas, Chiara ML Loeffler, Zunamys I Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hanna S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge S Reis-Filho and Jakob Nikolas Kather, Regression-based Deep-Learning predicts molecular biomarkers from pathology slides

Mara Graziani, Laura O' Mahony, An-Phi Nguyen, Henning Müller and Vincent Andrearczyk, Uncovering Unique Concept Vectors through Latent Space Decomposition

Nataliia Molchanova, Raina Vatsal, Francesco La Rosa, Andrey Malinin, Henning Müller, Mark Gales, Cristina Granziera, Mara Graziani and Meritxell Bach Cuadra, Towards Informative Uncertainty Measures for MRI Segmentation in Clinical Practice: Application to Multiple Sclerosis, in: Bern Interpretable Symposium (BIAS) 2023, 2023

Nataliia Molchanova, Cagol Alessandro, Mario Ocampo-Pineda, Chen Xinjie, Weigel Matthias, Henning Müller, Mara Graziani, Cristina Granziera and Meritxell Bach Cuadra, Deep learning uncertainty quantification of cortical lesions in MP2RAGE for missed lesions discovery, European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) Conference 2023, 2023

Gianluca Rizzo, Mina Aghaei Dinani and Antonio Di Maio, The Upsides of Turbulence: Baselining Gossip Learning in Dynamic Settings, 2023

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Gaetano Manzo, Yvan Pannatier, Gabriel Autès, Michaël De Lucia, Jean-Gabriel Piguet and Jean-Paul Calbimonte, Serendipity and Diversity Boosting for Personalized Streaming Media Recommendation, in: Proceedings of the 13th Italian Information Retrieval Workshop {(IIR} 2023), Pisa, Italy, June 8-9, 2023, páginas 30--40, CEUR-WS.org, 2023

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Federico Spagnolo, Adrien Depeursinge, Henning Müller, Aysenur Akbulut, Muhamed Barakovic, Lester Melie-Garcia, Sabine Schädelin and Cristina Granziera, How far MS lesion detection and segmentation are integrated into the clinical workflow? A systematic review (2023), in: NeuroImage: Clinical, 39(103491)

[]: IF 2022: 4.2

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Anne-Dominique Salamin and Zhan Liu, University Examinations: How New Generation Learners Design Their Own Revising Process, in: EDEN 2023 Annual Conference, EDEN DIGITAL LEARNING EUROPE, Dublin, Ireland, 2023

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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 (2025), in: Nature Scientic Reports

Valentino Piana, Energy transition: who pays and how, páginas 61-65, ISTUD Business School, 2023

Vincent Grèzes, Lessons of Innovation Strategies Emerged from the Crisis (2023), in: 4th International Conference on Digital, Innovation, Financing and Entrepreuneurship - DIFE 2023

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Vincent Grèzes, Augmented Strategic Diagnosis to Enhance the Public Policy Process of Tourism Destinations with Chat GPT (2023), in: 4th International Conference on Digital, Innovation, Financing and Entrepreuneurship

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Explainable and Transparent AI and Multi-Agent Systems, Springer, 2023

Rachele Carli and Davide Calvaresi, Reinterpreting Vulnerability to Tackle Deception in Principles-Based XAI for Human-Computer Interaction, in: Explainable and Transparent AI and Multi-Agent Systems, 2023

Victor H. Contreras, Andrea Bagante, Niccolò Marini, Michael Schumacher, Vincent Andrearczyk and Davide Calvaresi, Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer Classification, in: Explainable and Transparent AI and Multi-Agent Systems, 2023

Gözde Ayşe Tataroğlu Özbulak, Decentralized Stream Reasoning Agents, in: Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems, Neuchatel, Switzerland, páginas 203–206, Association for Computing Machinery, 2023

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Banani Anuraj, Agent-Based Orchestration on a Swarm of Edge Devices, in: Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems, Neuchatel, Switzerland, páginas 199–202, Association for Computing Machinery, 2023

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Mara Graziani, Sebastian Otalora, Stéphane Marchand-Maillet, Henning Müller and Vincent Andrearczyk, Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs To Improve Generalization (2023), in: Machine Learning for Biomedical Imaging (MELBA), 2

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Vincent Grèzes, Dreierpartnerschaften zur Unterstützung lokaler Innovationen und zur Schaffung gemeinsamer Werte – Die Schaffung gemeinsamer Werte zwischen öffentlichen Akteuren, der Universität und Unternehmen (2023), in: Alpiner Tourismus in disruptiven Zeiten Schweizer Jahrbuch für Tourismus 2022/2023

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Hervé Barras, Nicolas Bressoud, Samuel REY-MERMET, Vincent Grèzes and André TRICOT, Soutenir la formation à la complexité, l'exemple du projet Expertissage (2023), in: Questions de pédagogie dans l'enseignement supérieur

Gaetano Manzo, Benjamin Pocklington, Yvan Pannatier, Cathy Gay, Anjani Dhrangadhariya, Sophie Carrard, Roger Hilfiker and Jean-Paul Calbimonte, Towards Semantic Modeling of Patient Trajectories for Rehabilitation of Osteoarthritis, in: 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences ({SWAT4HCLS}), páginas 135--136, 2023

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Zhan Liu and Nicole Glassey Balet, Adaptive Semantic Matching in a Multilingual Context (2023), in: International Journal of Semantic Computing, 17:03(435-453)

[]: IF 2022 = 0.8

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Nataliia Molchanova, Raina Vatsal, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark Gales, Cristina Granziera, Mara Graziani and Meritxell Bach Cuadra, NOVEL STRUCTURAL-SCALE UNCERTAINTY MEASURES AND ERROR RETENTION CURVES: APPLICATION TO MULTIPLE SCLEROSIS (2023), in: Proceedings of International Symposium of Biomedical Imaging 2023

Jakub Mlynar, Grace Eden and Florian Evéquoz, Stopping Aside: Pedestrians’ Practice for Giving Way to a Self-Driving Shuttle (2023), in: Social Interaction: Video-Based Studies of Human Sociality, 6:1

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Jerome Treboux, Vine line detection in diverse environments aerial images using machine learning, 2023

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Jerome Treboux, Aurore Pittet and Dominique Genoud, An Evaluation of the Generalization Capabilities of Machine Learning Models for Vine Line Detection, 2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Gold Coast, Australia, páginas 1-6, IEEE, 2022

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Davide Calvaresi, Stefan Eggenschwiler, Yazan Mualla, Michael Schumacher and Jean-Paul Calbimonte, Exploring agent-based chatbots: a systematic literature review (2023), in: Journal of Ambient Intelligence and Humanized Computing

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Anne-Dominique Salamin, Digitalization: Training university professors and students with Flashlearns (2022), in: Innovative Approaches to Technology-Enhanced Learning for the Workplace and Higher Education, 581

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Anjani Dhrangadhariya, Roger Hilfiker, Martin Sattelmayer, Katia Giacomino, Rahel Caliesch, Elsig Simone, Nona Naderi and Henning Müller, First Steps Towards a Risk of Bias Corpus of Randomized Controlled Trials (2023), in: CARING IS SHARING--EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION(586)

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Digitalization: Training university professors and students with Flashlearns, capítulo 29, páginas 313, Springer, volume 581, 2022

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Cristina Simon-Martinez, Maria-Paraskevi Antoniou, Walid Bouthour, Daphne Bavelier, Ben Backus, Brian Dornbos, James J. Blaha, Martina Kropp, Henning Müller, Micah M Murray, Gabrielle Thumann, Heimo Steffen and Paweł J Matusz, Stereoptic serious games as a visual rehabilitation tool for individuals with a residual amblyopia (AMBER trial): a protocol for a crossover randomized controlled trial (2023), in: BMC Ophthalmology

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