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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 | 2851-2873 |

Mina Aghaei Dinani, Gianluca Rizzo, Adrian Holzer, Marco G Ajmone Marsan and Hung Xuan Nguyen, Vehicle Position Nowcasting with Gossip Learning (2022), in: IEEE WCNC

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Michael Bach, Christoph Aberle, Adrien Depeursinge, Oscar Jimenez del Toro, Roger Schaer, Kyriakos Flouris, Ender Konukoglu, Henning Müller and Markus Obmann, 3D-Printed Iodine-Ink CT Phantom for Radiomics Feature Extraction - Advantages and Challenges (2023), in: Medical Physics, 50:9(5682-5697)

[]: IF 2023: 4.506

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[DOI]

Virginie Uhlmann, Zsuzsanna Püspöki, Adrien Depeursinge, Michael Unser, Daniel Sage and Julien Fageot, Steer'n'Detect: Fast 2D Template Detection with Accurate Orientation Estimation (2022), in: Bioinformatics, 38:11(3146–3148)

[]: IF 2019 = 5.61
[]: Demo page: http://bigwww.epfl.ch/algorithms/steer_n_detect/
[]: Source code: https://github.com/Biomedical-Imaging-Group/Steer-n-Detect
[]: Zenodo: https://zenodo.org/records/10078907

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Arnaud Chiolero, Jean-Paul Calbimonte, Gaetano Manzo, Bruno Alves, Michael Schumacher, Samuel Gaillard, Philippe Schaller and Valérie Santschi, Exploiter les données du dossier médical informatisé pour améliorer la qualité des soins en ambulatoire (2021), in: Revue Medicale Suisse, 760

[URL]

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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Gwenaelle Creff, Franck Jegoux, Xavier Palard, Adrien Depeursinge, Ronan Abgral, Remi Marianowski, Thomas Eugene, Olivier Malard, R. De Crevoisier, Anne Devillers and Joel Castelli, FDG-PET/CT-based prognostic survival model after surgery for head and neck cancer (2022), in: Journal of Nuclear Medicine, 63:1

[]: IF 2020 = 10.057

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Kyriakos Flouris, Oscar Jimenez del Toro, Christoph Aberle, Michael Bach, Roger Schaer, Markus Obmann, Bram Stieltjes, Henning Müller, Adrien Depeursinge and Ender Konukoglu, Assessing radiomics feature stability with simulated CT acquisitions (2022), in: Scientific Reports, 12:1(4732)

[]: IF 2020 = 4.379

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Ferdinando Cotugno and Valentino Piana, Climate: what has remained of the promises of COP26 in Glasgow, Daily newspaper article, 2021

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Gianluca Rizzo, V-Edge: Virtual Edge Computing as an Enabler for Novel Microservices and Cooperative Computing (2021), in: Arxiv

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Gianluca Rizzo and Christian Esposito, Help From Above: UAV-Empowered Network Resiliency in Post-Disaster Scenarios (2022), in: IEEE CCNC 2022

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Jerome Treboux, Rolf Ingold and Dominique Genoud, Improved and Generalized Vine Line Detection on Aerial Images Using Asymmetrical Neural Networks and ML Subclassifiers, ESANN, Bruges, Belgium (Online), i6doc.com publ., 2021

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Jean-Paul Calbimonte, Davide Calvaresi and Michael Schumacher, Towards Collaborative Creativity in Persuasive Multi-agent Systems, in: Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, pages 40-51, Springer, 2021

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Anne-Dominique Salamin, Chapitre 9. Utiliser un MOOC pour hybrider la formation universitaire : retour sur une expérience pratique en prenant appui sur la recherche, volume 2, 2020

[URL]

Vincent Grèzes, Cultural and International Aspects of Innovation and Entrepreneurship in Higher Educational Institutions – Towards a typology of Learning Universities, Zagreb, Croatia, ENTerprise REsearch InNOVAtion Conference, 2021

[URL]

Vincent Grèzes, Pandémie, Confinement et impacts sur les modèles d’affaires des entreprises : mesures et méthodes d’innovation, in: Forum Scientifique Regiosuisse, Andermatt, Regiosuisse, 2021

[URL]

Cristina Simon-Martinez, Sandeep Kamal, Fabienne Frickmann, Leonie Steiner, Nedelina Slavova, Regula Everts, Maja Steinlin and Sebastian Grunt, Participation after childhood stroke: Is there a relationship with lesion size, motor function and manual ability? (2021), in: European Journal of Paediatric Neurology

[]: Open Access

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[DOI]

Jean-Gabriel Piguet, "Safe and Well-Informed”: A Study of the New Governance of Bio-Citizens’ Judgment on Twitter and Facebook (2021), in: Mimesis Journal_Philosophical News, CFP 22

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Jean-Gabriel Piguet, "Safe and Well-Informed”: A Study of the New Governance of Bio-Citizens’ Judgment on Twitter and Facebook (2021), in: Mimesis Journals_Philosophical News, CFP 22

Jean-Gabriel Piguet, "Safe and Well-Informed”: A Study of the New Governance of Bio-Citizens’ Judgment on Twitter and Facebook, in: Mimesis Journals_Philosophical News, CFP 22

Annika Reinke, Matthias Eisenmann, Minu dietlinde, Carole H Sudre, Tim Rätsch, Michela antonellii, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, ben glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn Jr., Jens Kleesiek, Tahsin Kurc, Michal Kozubek, Bennett A Landman, Geert Litjens, Klaus Maier-Hain, Anne Martel, Henning Müller, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider and Paul Jäger, Common limitations of performance metrics in biomedical image analysis, in: MIDLconference, 2021

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Bogdan Boteanu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Mourad Sarrouti, Dina Demner-Fushman, Sadid A. Hasan, Vassili Kovalev, Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Obioma Pelka, Alba García Seco de Herrera, Janadhip Jacutprakart, Christoph Friedrich, Raul Berari, Andrei Tautenau, Dimitri Fichou, Paul Brie, Mihai Dogariu, Liviu Daniel Stefan, Mihai Gabriel Constantin, Jon Chamberlain, Antonio Camponello, Adrian Clark, Thomas Oliver, Hassan Moustahfid, Adrian Popescu and Jerome Deshayes, ImageCLEF 2021: Multimedia Retrieval in Medical, Nature, Internet and Social Media, in: CLEF proceedings, Springer, 2021

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Alexis Joly, Hervé Goeau, Stefan Kahl, Lukas Picek, Titouan Lorieul, Elijah Cole, Benjamin Deneu, Maximillien Servajean, Andrew Durso, bolon. Isabelle, Hervé Glotin, Robert Planqué, Rafael Luis Ruiz De Castaneda, Willem-Pier Vellinga, Holger Klinck, Tom denton, Ivan Eggel, Pierre Bonnet and Henning Müller, Overview of LifeCLEF 2021: an Evaluation of Machine-Learning based Species Identification and Species Distribution Prediction, in: CLEF proceedings, Springer, 2021

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Obioma Pelka, Asma Ben Abacha, Alba García Seco de Herrera, Janadhip Jacutprakart, Christoph Friedrich and Henning Müller, Overview of the ImageCLEFmed 2021 Concept & Caption Prediction Task, in: CLEF working notes, 2021

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Asma Ben Abacha, Mourad Sarrouti, Dina Demner-Fushman, Sadid A. Hasan and Henning Müller, Overview of the VQA-Med Task at ImageCLEF 2021: Visual Question Answering and Generation in the Medical Domain, in: CLEF working notes, 2021

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Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Vassili Kovalev and Henning Müller, Overview of ImageCLEFtuberculosis 2021 - CT-based Tuberculosis Type Classification, in: CLEF working notes, 2021

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Niccolò Marini, Sebastian Otalora, Francesco Ciompi, Gianmaria Silvello, Stefano marchesin, Simona Valtrano, Gianziana buttafuoco, Manfredo Atzori and Henning Müller, Multi-Scale Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations, in: COMPAY workshop at MICCAI, 2021

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Anjani Dhrangadhariya, Sebastian Otalora, Manfredo Atzori and Henning Müller, Classification of noisy free-text prostate cancer pathology reports using natural language processing, in: Workshop AIDP at ICPR, 2021

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Selene Tomassini, Nicola Falcionelli, Paolo Sernani, Henning Müller and Aldo Franco Dragoni, An End-to-End 3D ConvLSTM-based Framework for Early Diagnosis of Alzheimer's Disease from Full-Resolution Whole-Brain sMRI Scans, in: Computer-Based Medical Systems, 2021

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Niccolò Marini, Manfredo Atzori, Sebastian Otalora, Stéphane Marchand-Maillet and Henning Müller, H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression, in: ICCV 2021 workshop on Computational Challenges in Digital Pathology, 2021

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Anjani Dhrangadhariya, Gustavo aguilar, Thamar Solorio, Roger Hilfiker and Henning Müller, End-to-end Fine-grained Neural Entity Recognition of Patients, Interventions, and Outcomes, in: CLEF proceedings, 2021

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Kendan K. Selcuk, Bogdan Ionescu, Lorraine Goeuriot, Birger Larsen, Henning Müller, Alexis Joly, Maria Maistro, Florina Piroi, Guglielmo Faggioli and Adele Ferro, CLEF proceedings, Springer, LNCS, 2021

Niccolò Marini, Sebastian Otalora, Damian Podareanu, Mart van einthoven, Jeroen van der Laak, Francesco Ciompi, Henning Müller and Manfredo Atzori, Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images (2021), in: Frontiers in Computer Science

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Tommaso Banzato, Marek Wodzinski, Federico tauceri, Chiara Dona, Filippo Scavazza, Henning Müller and Alessandro Zotti, An AI-based algorithm for the automatic classification of thoracic radiographs in cats (2021), in: Frontiers in Veterinary science

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Neda Azouji, Ashkan Sami, Mohammad Taheri and Henning Müller, A Large Margin Piecewise Linear Classifier with Fusion of Deep Features in the Diagnosis of COVID-19 (2021), in: Computers in Biology and Medicine

Niccolò Marini, Sebastian Otalora, Henning Müller and Manfredo Atzori, Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: an experiment on histopathology image classification (2021), in: Medical Image Analysis

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Shruti Atul Mali, Abdalla Ibrahim, Henry C. Woodruff, Vincent Andrearczyk, Henning Müller, Sergey Primakov, Zohaib Salahuddin, Avishek Chatterjee and Philippe Lambin, Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods (2021), in: Journal of Personalized Medicine, 11:9

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Valentino Piana, Radio interview to Valentino Piana on the IPCC 6th Assessment report, Rhône FM, 2021

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Davide Calvaresi, Amro Najjar, Michael Winikoff and Kary Främling, Explainable and Transparent Artificial Intelligence and Multi-Agent Systems, 3rd International Workshop, EXTRAAMAS 2021, London, UK, May 7-8, 2021, Revised Selected Papers, Springer, 2021

[URL]

Davide Calvaresi, Ahmed Ibrahim, Jean-Paul Calbimonte, Emmanuel Fragnière, Roland Schegg and Michael Schumacher, Leveraging inter-tourists interactions via chatbots to bridge academia, tourism industries and future societies (2021), in: Journal of Tourism Futures

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Yazan Mualla, Igor Tchappi, Timotheus Kampik, Amro Najjar, Davide Calvaresi, AbdeljalilAbbas-Turki, Stépane Galland and Christophe Nicolle, The Quest of Parsimonious XAI: a Human-Agent Architecture for Explanation Formulation (2021), in: Artificial Intelligence

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Martin Vallières, Philip Whybra, Vincent Andrearczyk, Roger Schaer, Henning Müller, Adrien Depeursinge and Alex Zwanenburg, Radiomics Analysis Using The Image Biomarker Standardization Initiative (IBSI) Benchmarks And Guidelines, in: Radiological Society of North America (RSNA) 2021 Annual Meeting, 2021

[]: Won a Cum Laude Education Exhibit Award !

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Jerome Treboux, Rolf Ingold and Dominique Genoud, Improved Line Detection in Images using Neural Networks and DTE Subclassifiers, in: 2021 9th European Workshop on Visual Information Processing (EUVIP), IEEE, Paris, France, pages 1-6, IEEE, 2021

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[DOI]
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Mara Graziani, Iam Palatnik de Sousa, Marley M Vellasco BR, Eduardo Costa da Silva, Henning Müller and Vincent Andrearczyk, Sharpening Local Interpretable Model-agnostic Explanations for Histopathology: Improved Understandability and Reliability, in: MICCAI 2021, Springer, 2021

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Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Daniel Abler, Joel Castelli, Oscar Acosta, R. De Crevoisier, Martin Vallières, Mario Jreige, John O. Prior and Adrien Depeursinge, Cleaning Radiotherapy Contours for Radiomics Studies, is it Worth it? A Head and Neck Cancer Study (2022), in: Clinical and Translational Radiation Oncology, 33(153-158)

[]: IF 2021 = 4.739

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Daniel Abler, Roger Schaer, Valentin Oreiller, Himanshu Verma, Julien Reichenbach, Orfeas Aidonopoulos, Florian Evéquoz, Mario Jreige, John O. Prior and Adrien Depeursinge, QuantImage v2: A Comprehensive and Integrated Physician-Centered Cloud Platform for Radiomics and Machine Learning Research (2023), in: European Radiology Experimental, 7:16

[]: IF 2022: 3.75

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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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Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, Sarah Boughdad, Hesham Elhalawani, Joel Castelli, Martin Vallières, Simeng Zhu, Juanying Xie, Ying Peng, Andrei Iantsen, Mathieu Hatt, Yading Yuan, Jun Ma, Xiaoping Yang, Chinmay Rao, Suraj Pai, Kanchan Ghimire, Xue Feng, Mohamed A. Naser, Clifton D. Fuller, Fereshteh Yousefirizi, Arman Rahmim, Huai Chen, Lisheng Wang, John O. Prior and Adrien Depeursinge, Head and Neck Tumor Segmentation in PET/CT: The HECKTOR Challenge (2022), in: Medical Image Analysis, 77(102336)

[]: IF 2020 = 8.545

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[URL]

Vincent Andrearczyk, Pierre Fontaine, Valentin Oreiller, Joel Castelli, Mario Jreige, John O. Prior and Adrien Depeursinge, Multi-Task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer, in: 4th Workshop on PRedictive Intelligence in MEdicine, pages 147-156, Springer LNCS, 2021

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Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Joel Castelli, Mario Jreige, John O. Prior and Adrien Depeursinge, Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT, in: Multimodal Learning for Clinical Decision Support, pages 59-68, Springer LNCS, 2021

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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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