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Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Sarah Boughdad, Catherine Cheze-Le-Rest, John O. Prior, Mathieu Hatt und Adrien Depeursinge, HEad and neCK TumOR segmentation and outcome prediction using AI: lessons from three consecutive years of the HECKTOR challenge, in: European Head and Neck Society (EHNS) on Artificial Intelligence (AI) in Head & Neck Oncology, Lausanne and virtual, 2023

Anjani Dhrangadhariya, Wojciech Kusa, Henning Müller und Allan Hanbury, HEVS-TUW at SemEval-2023 Task 8: Ensemble of Language Models and Rule-based Classifiers for Claims Identification and PICO Extraction, in: Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), Toronto, Canada, Seiten 1776–1782, Association for Computational Linguistics, 2023

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Marek Wodzinski, Mateusz Daniol, Daria Hemmerling und Miroslaw Socha, High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers, in: MICCAI 2023, 2023

Anne-Dominique Salamin und David Russo, How HES-SO Western Switzerland faced COVID-19: Concept, students’ vision and future implications, APPLIED RESEARCH INTERNATIONAL CONFERENCES OXFORD, 2023

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Jérôme Küffer, Vincent Grèzes und Sandra Grèzes, Hypotheses on the Development Model of the Circular Economy in Touristic Destinations, ENTerprise REsearch InNOVAtion - ENTRENOVA, 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 und 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

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

Tommaso Giannantonio, Anna Alperovich, Piercosimo Semeraro, Manfredo Atzori, Xiaohan Zhang, Christoph Hauger, Alexander Freytag, Siri Luthman, Roeland Vandebriel, Murali Jayapala und others, Intra-operative brain tumor detection with deep learning-optimized hyperspectral imaging, in: Optical Biopsy XXI: Toward Real-Time Spectroscopic Imaging and Diagnosis, SPIE, Seiten 74--92, 2023

Vincent Grèzes, Lessons from Using Mind mapping to Evaluate the Learnings – Dos and Don’ts, Dubrovnik, ENTerprise REsearch InNOVAtion Conference - ENTRENOVA, 2023

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Alexis Joly, Hervé Goëau, Stefan Kahl, Lukas Picek, Christophe Botella, Diego Marcos und 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 und 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 und 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 und 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 Vallìères, Pierre Vera, Dimitris Visvikis, Kareem Wahid, Habib Zaidi, Mathieu Hatt und Adrien Depeursinge, Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT, Seiten 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 García 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 und 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 und 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 und 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, Seiten 268 -- 274, 2023

Himanshu Verma, Jakub Mlynar, Roger Schaer, Julien Reichenbach, Mario Jreige, John O. Prior, Florian Evéquoz und 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 und Henning Müller, Review about explainable artificial intelligence in medical imaging, in: Eurosomii Meeting, Pisa, Italy, 2023

Artur Jurgas, Marek Wodzinski und 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 und 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, Seiten 30--40, CEUR-WS.org, 2023

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

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Raina Vatsal, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra und 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 und 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 und 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 und 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}), Seiten 135--136, 2023

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Anne-Dominique Salamin und 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 und Lena Maier-Hein, Why is the winner the best?, in: CVPR, 2023

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Zhan Liu, Shaban Shabani, Xianyun Yu, Sokhn Maria und 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, Seiten 3-12, Springer Nature, 2022

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Niccolò Marini, Marek Wodzinski, Manfredo Atzori und 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 und 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 und 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, Seiten 1-6, IEEE, 2022

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Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller und 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 und 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), Online, Seiten 218-223, IEEE, 2022

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Krešimir Kušić, René Schumann und 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, Seiten 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 und 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, Seiten 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 und 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 und 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 und 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, Seiten 345--358, 2022

Florian Evéquoz, Johan Rochel, Vijay Keswani und 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 und 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 und 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 und 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 und Adrien Depeursinge, HEad and neCK TumOR segmentation and outcome prediction: The HECKTOR challenge, in: European Society of Radiology, 2022

Vincent Grèzes und 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 und Mihai Dogariu, ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications, in: European Conference on Information Retrieval, Springer, Seiten 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 und 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 und Henning Müller, LifeCLEF 2022 Teaser: an evaluation ofMachine-Learning based Species Identification and Species Distribution Prediction, in: ECIR 2022, Stavanger, Norway, 2022

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