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Vincent Grèzes, ChatGPT-4 as a Groundbreaking Tool for Grounded Theory: Technical Capabilities, Epistemological Limits (2023), in: The European Association for REsearch on SERvices (RESER) International Conference

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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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Oscar Jimenez del Toro, Christoph Aberle, Roger Schaer, Michael Bach, Kyriakos Flouris, Ender Konukoglu, Bram Stieltjes, Markus Obmann, André Anjos, Henning Müller und 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, Seiten 62-66, 2024

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Vincent Grèzes und Sandra Grèzes, Special Session - SS05. Positive Economy and Territorial Development: Concepts, Challenges and Practices (2023), in: Regional Studies Association - RSA Winter Conference

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Dina Vashdev, Vincent Grèzes und Nathalie Stumm, Unveiling the Complexity of Sustainable Monitoring: Insights from Swiss Alpine Tourism (2023), in: Regional Studies Association - RSA Winter Conference

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Nathalie Stumm, Vincent Grèzes und Dina Vashdev, Dos and don'ts of the Process of Developing Sustainability Indicators in Switzerland (Sociological Approach) (2023), in: Regional Studies Association - RSA Winter Conference

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Vincent Grèzes und Sandra Grèzes, The Multiple Dimensions of the Positive Economy and their Interaction with Alternative Economic Approaches (2023), in: Regional Studies Association - RSA Winter Conference

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Vincent Andrearczyk, Valentin Oreiller und Adrien Depeursinge, Wide kernels and their DCT compression in convolutional networks for nuclei segmentation (2023), in: Informatics in Medicine Unlocked, 43(101403)

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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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Sandra Grèzes und Vincent Grèzes, Designing a Sustainable, Circular Culinary System (2023), in: Circular Economy and Sustainability

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Valentino Piana und SSH Energy Research Group, Contributions to the energy research debate from the Swiss Social Sciences and Humanities Energy Research Group (3rd Workshop), Lulu, 2023

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Vincent Grèzes, Sandra Grèzes und Marc Schnyder, Circular economy, Regional ecosystems and Collaborative innovation, Regiosuisse, 2023

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Vincent Grèzes, Sandra Grèzes und 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

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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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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Many Others, Marek Wodzinski und And Even More, Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning (2023), in: IEEE Transactions on Medical Imaging, 42:3

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Marek Wodzinski, Mateusz Daniol, Miroslaw Socha, Daria Hemmerling, Maciej Stanuch und Andrzej Skalski, Deep Learning-based Framework for Automatic Cranial Defect Reconstruction and Implant Modeling (2022), in: Computer Methods and Programs in Biomedicine, 226

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Clemens Eisenmann, Jakub Mlynar, Jason Turowetz und Anne Warfield Rawls, “Machine Down”: Making sense of human-computer interaction – Garfinkel’s research on ELIZA and LYRIC from 1967 to 1969 and its contemporary relevance (2024), in: AI & Society, 39(2715–2733)

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Dominique Genoud, Jean-Marie Alder, Jerome Treboux, Jérémie Vianin, David Wannier, Olivier Arbellay und Nicolas Chianella, GEOLOCALIZED PHOTOVOLTAIC ENERGY PREDICTION METHODOLOGY USING MACHINE LEARNING (2023), in: CIRED 2023

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Jakub Mlynar und Ilkka Arminen, Respecifying social change: The obsolescence of practices and the transience of technology (2023), in: Frontiers in Sociology

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Jakub Mlynar, Adrien Depeursinge, John O. Prior, Roger Schaer, Alexandre Martroye de Joly und 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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Mario Martínez-Zarzuela, David Gonzalez-Ortega, Míriam Antón-Rodríguez, Francisco J Díaz-Pernas, Henning Müller und Cristina Simon-Martinez, A comparative study on wearables and single-camera video for upper-limb out-of-the-lab activity recognition with different deep learning architectures (2023), in: Gait & Posture, 106

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

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Gianluca Rizzo, Mina Aghaei Dinani und Marco G Ajmone Marsan, A Gossip Learning Approach to Urban Trajectory Nowcasting for Anticipatory RAN Management (2023), in: IEEE Transactions on Mobile Computing

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Carlotta Valente, Marek Wodzinski, Carlo Guglielmini, Helen Poser, David Chiavegato, Alessandro Zotti, Roberto Venturini und Tommaso Banzato, Development of an artificial intelligence-based method for the diagnosis of the severity of myxomatous mitral valve disease from canine chest radiographs (2023), in: Frontiers in Veterinary Science

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

Jianning Li, David G. Ellis, Oldřich Kodym, Laurel Rauschenbach, Christoph Rieß, Ulrich Sure, Karsten H. Wrede, Carlos M. Alvarez, Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Hamza Mahdi, Allison Clement, Evan Kim, Zachary Fishman, Cari M. Whyne, James G. Mainprize, Michael R. Hardisty, Shashwat Pathak, Chitimireddy Sindhura, Rama Krishna Sai S. Gorthi, Degala Venkata Kiran, Subrahmanyam Gorthi, Bokai Yang, Ke Fang, Xingyu Li, Artem Kroviakov, Lei Yu, Yuan Jin, Antonio Pepe, Christina Gsaxner, Adam Herout, Victor Alves, Michal Španěl, Michele R. Aizenberg, Jens Kleesiek und Jan Egger, Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge (2023), in: Medical Image Analysis, 88

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Kamil Kwarciak und Marek Wodzinski, Deep Generative Networks for Heterogeneous Augmentation of Cranial Defects, in: ICCV 2023 Proceedings, 2023

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Davide Calvaresi, Amro Najjar, Andrea Omicini, Reyhan Aydoğan, Rachele Carli, giovanni ciatto, Yazan Mualla und Kary Främling, Explainable and Transparent AI and Multi-Agent Systems, Springer, 2023

Serge Kozlovski, Yashin Dicente Cid, Vassili Kovalev und 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

Alexis Joly, Hervé Goeau,, Stefan Kahl, Lukas Picek, Titouan Lorieul, Elijah Cole, Benjamin Deneu, Maximillien Servajean, Andrew Durso, bolon. Isabelle, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom denton, Ivan Eggel, Pierre Bonnet, Milan Šulc und Henning Müller, https://publications.hevs.ch/index.php/publications/show/3057

Alessandro Scano, Cristina Brambilla, Henning Müller und Manfredo Atzori, Mapping of the Upper Limb Work-Space: Benchmarking Four Wrist Smoothness Metrics (2022), in: Applied Sciences, 12:24(12643)

Zhuxian Guo, Qitong Wang, Henning Müller, Themis Palpanas, Nicolas Loménie und Camille Kurtz, A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Images of Hepatocellular Carcinoma, in: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), IEEE, Seiten 1--5, 2023

Roger Schaer, Michael Bach, Markus Obmann, Kyriakos Flouris, Ender Konukoglu, Bram Stieltjes, Henning Müller, Christoph Aberle, Oscar Jimenez del Toro und Adrien Depeursinge, Task-Based Anthropomorphic CT Phantom for Radiomics Stability and Discriminatory Power Analyses (CT-Phantom4Radiomics), [Data set], 2023

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Philip Whybra, Alex Zwanenburg, Vincent Andrearczyk, Roger Schaer, Aditya P Apte, Alexandre Ayotte, Bhakti Baheti, Spyridon Bakas, Andrea Bettinelli, Ronald Boellaard, Luca Boldrini, Irène Buvat, Gary J R Cook, Florian Dietsche, Nicola Dinapoli, Hubert S Gabryś, Vicky Goh, Matthias Guckenberger, Mathieu Hatt, Mahdi Hosseinzadeh, Aditi Iyer, Jacopo Lenkowicz, Mahdi A L Loutfi, Steffen Löck, Francesca Marturano, Olivier Morin, Christophe Nioche, Fanny Orlhac, Sarthak Pati, Arman Rahmim, Masoud Seyed, Christopher G Rookyard, Mohammad R Salmanpour, Andreas Schindele, Isaac Shiri, Emiliano Spezi, Stephanie Tanadini-Lang, Florent Tixier, Taman Upadhaya, Vincenzo Valentini, Joost J M van Griethuysen, Fereshteh Yousefirizi, Habib Zaidi, Henning Müller, Martin Vallìères und Adrien Depeursinge, The image biomarker standardization initiative: Standardized convolutional filters for reproducible radiomics and enhanced clinical insights (2024), in: Radiology, 310:2

[]: IF 2022: 19.7

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Seyed Mohammad Alizadeh, Mohammad Sadegh Helfroush und Henning Müller, A novel Siamese deep hashing model for histopathology image retrieval (2023), in: Expert Systems with Applications, 225(120169)

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

Mario Martínez-Zarzuela, Javier González-Alonso, Míriam Antón-Rodríguez, Francisco J Díaz-Pernas, Henning Müller und 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 und 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 und 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 und 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 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

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

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

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

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

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 und 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 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

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