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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 |

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

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

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

Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joel Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca, Abdallah Mohamed, Mohamed Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem Wahid, Habib Zaidi, Mathieu Hatt and Adrien Depeursinge, Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT, pages 1-30, Springer, Cham, 2023

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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

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

Krešimir Kušić, René Schumann, Martin Gregurić, Edouard Ivanjko and Marko Šoštarić, Reliable learning-based controllers and how structured simulation is a path towards them, in: Proceedings of 5th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI’ 2023), TENERIFE (CANARY ISLANDS), SPAIN, pages 268 -- 274, 2023

Himanshu Verma, Jakub Mlynar, Roger Schaer, Julien Reichenbach, Mario Jreige, John O. Prior, Florian Evéquoz and Adrien Depeursinge, Rethinking the Role of AI with Physicians in Oncology: Revealing Perspectives from Clinical and Research Workflows, in: ACM CHI 2023, 2023

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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

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

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, pages 30--40, CEUR-WS.org, 2023

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Fernanda Martinez, Diego Collarana, Davide Calvaresi, Martin Arispe, Carla Florida and Jean-Paul Calbimonte, Study-Buddy: A Knowledge Graph-Powered Learning Companion for School Students, in: The Semantic Web: ESWC 2023 Satellite Events, pages 133--137, Springer Nature Switzerland, 2023

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Raina Vatsal, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra and Mark Gales, Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation, in: IEEE International Symposium on Biomedical Imaging, 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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Gianluca Rizzo, Towards AI-Native Vehicular Communications, in: IEEE VTC Spring 2023, IEEE, Florence, Italy, IEEE, 2023

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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

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}), pages 135--136, 2023

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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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Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen De Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldřich Kodym, Michal Kozubek, Jianning Li, Hongwei Li, Jun Ma, Carlos Martín-Isla, Bjoern Menze, Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rätsch, Jonathan Rafael-Patiño, Vivek Singh Bawa, Stefanie Speidel, Carole H Sudre, Kimberlin van Wijnen, Martin Wagner, Donglai Wei, Amine Yamlahi, Moi Hoon Yap, Chun Yuan, Maximilian Zenk, Aneeq Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, Jihoon Cho, Chanyeol Choi, Qi Dou, Ivan Ezhov, Christoph M. Friedrich, Clifton Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García Faura, Maria Grammatikopoulou, SeulGi Hong, Mostafa Jahanifar, Ikbeom Jang, Abdolrahim Kadkhodamohammadi, Inha Kang, Florian Kofler, Satoshi Kondo, Hugo Kuijf, Mingxing Li, Minh Huan Luu, Tomaž Martinčič, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, Subeen Pang, Jinah Park, Sung-Hong Park, Szymon Plotka, Elodie Puybareau, Nasir Rajpoot, Kanghyun Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Štepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Helene Urien, João L. Vilaça, Kareem Abdul Wahid, Haojie Wang, Jiacheng Wang, Liansheng Wang, Xiyue Wang, Benedikt Wiestler, Marek Wodzinski, Fangfang Xia, Juanying Xie, Zhiwei Xiong, Sen Yang, Yanwu Yang, Zixuan Zhao, Klaus Maier-Hain, Paul F. Jäger, Annette Kopp-Schneider and Lena Maier-Hein, Why is the winner the best?, in: CVPR, 2023

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Zhan Liu, Shaban Shabani, Xianyun Yu, Sokhn Maria and Nicole Glassey Balet, A Collaborative Intelligence Approach to Fighting COVID-19 False News: A Chinese Case, in: 15th International Conference on Human-Centered Intelligent Systems, KES, Rhodes, Greece, pages 3-12, Springer, 2022

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Niccolò Marini, Marek Wodzinski, Manfredo Atzori and Henning Müller, A multi-task Multiple Instance Learning algorithm to analyze large whole slide images from the BRIGHT challenge 2022, in: ISBI Challenges 2022, Bangalore India, 2022

Jakub Mlynar, Farzaneh Bahrami, Andre Ourednik, Nico Mutzner, Himanshu Verma and Hamed Alavi, AI beyond Deus ex Machina – Reimagining Intelligence in Future Cities with Urban Experts, in: CHI Conference on Human Factors in Computing Systems (CHI '22), April 29-May 5, 2022, New Orleans, LA, USA, ACM, 2022

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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, pages 1-6, IEEE, 2022

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Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller and Maria Rodriguez Martinez, Attention-based Interpretable Regression of Gene Expression in Histology, in: Proceedings of the The Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC) at MICCAI 2022, 2022

Zhan Liu and Nicole Glassey Balet, Bringing Big Data into Media: A Decision-Making Model for Targeting Digital News Content, in: 2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science (BCD), pages 218-223, IEEE, 2022

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Krešimir Kušić, René Schumann and Edouard Ivanjko, Building a Motorway Digital Twin in SUMO: Real-Time Simulation of Continuous Data Stream from Traffic Counters,, in: Proceedings of the 2022 International Symposium ELMAR, Zadar, Croatia, pages 71 -- 76, IEEE, 2022

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Daniel Abler, Vincent Andrearczyk, Valentin Oreiller, Javier Barranco Garcia, Diem Vuong, Stephanie Tanadini-Lang, Matthias Guckenberger, Mauricio Reyes and Adrien Depeursinge, Comparison of MR preprocessing strategies and sequences for radiomics-based MGMT prediction, in: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (MICCAI/BrainLes 2021), Cham, pages 367–380, Springer International Publishing, 2022

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Vincent Grèzes, Coupled Open Innovation Blueprinting: A Practical Mechanism for Collaborative Blue Ocean Strategy Elicitation, World Open Innovation Conference, 2022

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Javier Barranco Garcia, Daniel Abler, Mauricio Reyes, Diem Vuong, Matthias Guckenberger, Stephanie Tanadini-Lang and Adrien Depeursinge, Deep learning classifier for MGMT promoter methylation status in glioblastoma cancer, in: 2022 Annual Meeting of the European Society of Radiation Oncology (ESTRO), 2022

Mara Graziani, Vincent Andrearczyk and Henning Müller, Deep Learning Interpretability: Measureing the relevance of clinical concepts in CNN features, in: State of the art in neural networks, Elsevier, 2022

Anjani Dhrangadhariya and Henning Müller, DISTANT-CTO: A Zero Cost, Distantly Supervised Approach to Improve Low-Resource Entity Extraction Using Clinical Trials Literature, in: Proceedings of the 21st Workshop on Biomedical Language Processing, Dublin, Ireland, pages 345--358, 2022

Florian Evéquoz, Johan Rochel, Vijay Keswani and L. Elisa Celis, Diverse Representation via Computational Participatory Elections - Lessons from a Case Study, in: Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO ’22), ACM, Arlington, VA, 2022

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Berk Buzcu, Vanitha Varadhajaran, Igor Tchappi, Amro Najjar, Davide Calvaresi and Reyhan Aydoğan, Explanation-Based Negotiation Protocol for Nutrition Virtual Coaching, in: International Conference on Principles and Practice of Multi-Agent Systems, 2022

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Lisa Mailleux, Ahmed Radwan, Lisa Decraene, Patrick Dupont, Nicolas Leenaerts, Cristina Simon-Martinez, Katrijn Klingels, Els Ortibus, Stefan Sunaert, Hilde Feys and Jeroen Blommaert, Exploring structural brain connectomes and its impact on sensorimotor function in children with unilateral cerebral palsy, European Academy of Childhood Disability, Barcelona (Spain), 2022

Davide Calvaresi, Khoa Nguyen and René Schumann, GB-Flex: Automated and Distributed Decision-Making in Energy Balancing Groups, in: Proceedings of Energy Informatics 2022, 2022

Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Hesham Elhalawani, Sarah Boughdad, Catherine Cheze-Le-Rest, John O. Prior, Mathieu Hatt and Adrien Depeursinge, HEad and neCK TumOR segmentation and outcome prediction: The HECKTOR challenge, in: European Society of Radiology, 2022

Vincent Grèzes and Riccardo Bonazzi, How Organized is your Open Innovation? A Typology of Open Innovative Organizations, World Open Innovation Conference, 2022

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Alba García Seco de Herrera, Bogdan Ionescu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Christoph M Friedrich, Johannes Rückert, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Kovalev Vassili, Jon Chamberlain, Adrian Clark, Antonio Campello, Hugo Schindler, Jerome Deshayes, Adrian Popescu, Liviu Daniel Stefan, Mihai Gabriel Constantin and Mihai Dogariu, ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications, in: European Conference on Information Retrieval, Springer, pages 382--389, 2022

Diem Vuong, Katrin Daetwyler, Marta Bogowicz, Piotr Radojewski, Raphael Meier, Mauricio Reyes, Natalia Saltybaeva, Adrien Depeursinge, Michael Bach, Marco Piccirelli, Matthias Guckenberger, Stephanie Tanadini-Lang and Roland Wiest, Impact of deep learning segmentation methods on the robustness of MR glioblastoma radiomics, in: 2022 Annual Meeting of the European Society of Radiation Oncology (ESTRO), 2022

Alexis Joly, Hervé Goëau, Stefan Kahl, Titouan Lorieul, Elijah Cole, Benjamin Deneu, maximilien Servajean, Pierre Bonnet and Henning Müller, LifeCLEF 2022 Teaser: an evaluation ofMachine-Learning based Species Identification and Species Distribution Prediction, in: ECIR 2022, Stavanger, Norway, 2022

Annika Reinke, Henning Müller and et al., Metrics Reloaded - A new recommendation framework for biomedical image analysis validation, in: MIDL Conference, 2022

Gianluca Rizzo, Multi-Agent Data Collection in Non-Stationary Environments, IEEE WOWMOM 2022, Belfast, 2022

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Valentin Oreiller, Julien Fageot, Vincent Andrearczyk, John O. Prior and Adrien Depeursinge, Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net, in: Medical Imaging with Deep Learning, 2022

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Johannes Rückert, Asma Ben Abacha, Alba García Seco de Herrera, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Henning Müller and Christoph M. Friedrich, Overview of ImageCLEFmedical 2022 – Caption Prediction and Concept Detection, in: CLEF working notes, 2022

Serge Kozlovski, Yashin Dicente Cid, Vassili Kovalev and Henning Müller, Overview of ImageCLEFtuberculosis 2022 -- CT-based Caverns Detection and Report, in: CLEF working Notes, 2022

Serge Kozlovski, Yashin Dicente Cid, Vassili Kovalev and Henning Müller, Overview of ImageCLEFtuberculosis 2022: CT-based cavern detection and report, in: Proceedings of CLEF (Conference and Labs of the Evaluation Forum) 2022 Working Notes, 2022

Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze-Le-Rest, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt and Adrien Depeursinge, Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images, in: Head and Neck Tumor Segmentation and Outcome Prediction, pages 1-37, 2022

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Bogdan Ionescu, Henning Müller, Renaud Péteri, Johannes Rückert, Asma Ben Abacha, Alba García Seco de Herrera, Christoph M. Friedrich, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Serge Kozlovski, Yashin Dicente Cid, Vassili Kovalev, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Mihai Dogariu, Adrian Popescu, Jerome Deshayes, Hugo Schindler, Jon Chamberlain, Antonio Campello and Adrian Clark, Overview of the ImageCLEF 2022: Multimedia Retrieval in Medical, Social Media and Nature Applications, in Experimental IR Meets Multilinguality, Multimodality, and Interaction, in: CLEF 2022 Proceedings, Springer, 2022

Roger Schaer, Valentin Oreiller, Daniel Abler, Himanshu Verma, Julien Reichenbach, Florian Evéquoz, Mario Jreige, John O. Prior and Adrien Depeursinge, QuantImage v2: A Clinician-in-the-loop Cloud Platform for Radiomics Research, in: European Society of Radiology, 2022

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