Topic: Institute of Informatics (II) - HES SO Valais Publications - Aigaion 2.0

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1385 publications (0 read)
2024 authors [view]
18 Subtopics

| 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 | 1351-1385 |

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 (2026), in: Nature Scientific Reports, 16(6917)

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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, pages 43-54, Springer Nature Switzerland, 2024

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Vincent Andrearczyk, Luis Schiappacasse, Jean Bourhis, John O. Prior, Michel Cuendet, Andreas Hottinger, Vincent Dunet and Adrien Depeursinge, The value of AI for assessing longitudinal brain metastases treatment response (2025), in: Neuro-Oncology Advances, 7:1

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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

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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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Jean-Paul Calbimonte, Andrei Ciortea, Timotheus Kampik, Simon Mayer, Terry R. Payne, Valentina Tamma and Antoine Zimmermann, Autonomy in the Age of Knowledge Graphs: Vision and Challenges (2023), in: Transactions on Graph Data and Knowledge, 1:1(13:1--13:22)

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Benjamin Nanchen, Chester Civelli and Zhan Liu, Modèle de développement d’une plateforme numérique collaborative pour le FALC, pages 47-63, Revue suisse de pédagogie spécialisée (SZH/CSPS), 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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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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Mario Martínez-Zarzuela, Javier González-Alonso, Míriam Antón-Rodríguez, Francisco J Díaz-Pernas, Henning Müller and Cristina Simon-Martinez, Multimodal video and IMU kinematic dataset on daily life activities using affordable devices (2023), in: Scientific Data

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

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 and 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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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

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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, pages 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 (2024), in: Nature Scientic Reports, 14:1(1-10)

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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

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Gözde Ayşe Tataroğlu Özbulak, Decentralized Stream Reasoning Agents, in: Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems, Neuchatel, Switzerland, pages 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, pages 199–202, Association for Computing Machinery, 2023

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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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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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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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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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Federico Spagnolo, Roger Schaer, Vincent Andrearczyk, Nataliia Molchanova, Mara Graziani, Henning Müller, Meritxell Bach Cuadra, Cristina Granziera and Adrien Depeursinge, FLAIR vs MPRAGE contribution to white matter lesion automatic segmentation in MS using localized saliency maps, in: Bern Interpretable AI Symposium (BIAS), 2023

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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 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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Emanuele Gagliardi, Gabriele Bernardini, Enrico Quagliarini, Michael Schumacher and Davide Calvaresi, Characterization and future perspectives of Virtual Reality Evacuation Drills for safe built environments: A Systematic Literature Review (2023), in: Journal of Safety Science

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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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Yeji Lee and Jakub Mlynar, “For Example” Formulations and the Interactional Work of Exemplification (2023), in: Human Studies

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Abdeljalil Abbas-Turki, Yazan Mualla, nicolas gaud, Davide Calvaresi, wendan du, alexandre lombard, Mahjoub Dridi and Abder Koukam, Autonomous intersection management_ optimal Trajectories, and Efficient Scheduling (2023), in: MDPI Sensors

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Gaetano Manzo, Yvan Pannatier, Patrick Duflot, Philippe Kolh, Marcela Chavez, Valérie Bleret, Davide Calvaresi, Oscar Jimenez del Toro, Michael Schumacher and Jean-Paul Calbimonte, Breast cancer survival analysis agents for clinical decision support (2023), in: Computer Methods and Programs in Biomedicine, 231(107373)

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Jean-Paul Calbimonte, Orfeas Aidonopoulos, Fabien Dubosson, Benjamin Pocklington, Ilia Kebets, Pierre-Mikael Legris and Michael Schumacher, Decentralized semantic provision of personal health streams (2023), in: Journal of Web Semantics, 76(100774)

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Victor H. Contreras, Niccolò Marini, Lora Fanda, Gaetano Manzo, Yazan Mualla, Jean-Paul Calbimonte, Michael Schumacher and Davide Calvaresi, A DEXiRE for Extracting Propositional Rules from Neural Networks via Binarization (2022), in: MDPI Electronics, 11:24

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Davide Calvaresi, Rachele Carli, Jean-Gabriel Piguet, Victor H. Contreras, Gloria Luzzani, Amro Najjar, Jean-Paul Calbimonte and Michael Schumacher, Ethical and Legal Considerations for Nutrition Virtual Coaches Ethical and Legal Considerations for Nutrition Virtual Coaches (2022), in: AI and Ethics

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Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze-Le-Rest, Olena Tankyevych, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallìères, Dimitris Visvikis, Mathieu Hatt and Adrien Depeursinge, Automatic Head and Neck Tumor Segmentation and Outcome Prediction Relying on FDG-PET/CT Images: Findings from the Second Edition of the HECKTOR Challenge (2023), in: Medical Image Analysis, 90:1(102972)

[]: IF 2022: 10.9

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Jakub Mlynar, Jiri Kocian and Karin Hofmeisterova, How “Tools” Produce “Data”: Searching in a Large Digital Corpus of Audiovisual Holocaust Testimonies, in: Jewish Studies in the Digital Age, pages 65-88, De Gruyter Oldenbourg, 2022

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Khoa Nguyen, Valentino Piana and René Schumann, Simulating Bounded Rationality in Decision-Making: An Agent-Based Choice Modelling of Vehicle Purchasing, in: Proceedings of the Social Simulation Conference, 2022

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Florian Evéquoz, Johan Rochel, Vijay Keswani and L. Elisa Celis, Diverse Representation via Computational Participatory Elections -- Lessons from a Case Study (2022), in: arXiv

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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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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), Online, pages 218-223, IEEE, 2022

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Mara Graziani, Lidia Dutkiewicz, Davide Calvaresi, Jose Pereira Amorim, Katerina Yordanova, Mor Vered, Rahul Nair, Pedro H. Abreu, Tobias Blanke, Valeria Pulignano, John O. Prior, Lode Lauwaert, Wessel Reijers, Adrien Depeursinge, Vincent Andrearczyk and Henning Müller, A Global Taxonomy of Interpretable AI: Unifying the Terminology for the Technical and Social Sciences (2022), in: Artificial Intelligence Review, 56(3473–3504)

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Daphné Faist, Mario Jreige, Valentin Oreiller, Marie Nicod-Lalonde, Niklaus Schaefer, Adrien Depeursinge and John O. Prior, Reproducibility of lung cancer radiomics features extracted from data-driven respiratory gating and free-breathing flow imaging in [18F]-FDG PET/CT (2022), in: European Journal of Hybrid Imaging, 6:1(33)

[]: IF 2022: 1.7

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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

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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 Nature, 2022

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Dorokhova Marina, Jérémie Vianin, Jean-Marie Alder, Christophe Ballif, Wyrch. Nicolas and David Wannier, A Blockchain-Supported Framework for Charging Management of Electric Vehicles (2021), in: MDPI Energies, 14:7144(32)

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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

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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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Jakub Mlynar, How is Oral History Possible? On Linguistically Universal and Topically Specific Knowledge (2022), in: The Oral History Review

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Head and Neck Tumor Segmentation and Outcome Prediction, Springer International Publishing, 2022

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Francesco Di Blasi and Valentino Piana, Green new cities: PNRR and Green New Deal - interview with Valentino Piana (2022), in: Zeta Luiss

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