Topic: MedGIFT - HES SO Valais Publications

Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet and Adrien Depeursinge, Local Rotation Invariance in 3D CNNs (2020), in: Medical Image Analysis, 65(101756)

[]: IF 2018 = 8.79

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Ranveer Joyseeree, Sebastian Otalora, Henning Müller and Adrien Depeursinge, Fusing Learned Representations from Riesz and Deep CNNs for Lung Tissue Classification (2019), in: Medical Image Analysis, 56(172-183)

[]: IF 2017 = 5.356

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Jocelyn Barker, Assaf Hoogi, Adrien Depeursinge and Daniel L. Rubin, Automated Classification of Brain Tumor Type in Whole-Slide Digital Pathology Images Using Local Representative Tiles (2016), in: Medical Image Analysis, 30(60-71)

[]: IF 2014 = 3.654

Camille Kurtz, Adrien Depeursinge, Sandy Napel, Christopher F. Beaulieu and Daniel L. Rubin, On combining visual and ontological similarities for medical image retrieval applications (2014), in: Medical Image Analysis, 18:7(1082–1100)

[]: Impact Factor=4.087

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Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Dimitri Van De Ville and Henning Müller, Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities (2014), in: Medical Image Analysis, 18:1(176-196)

[]: Impact Factor=4.087

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Maria Martin Asiain, Mohammadreza Amirian, Oscar Jimenez del Toro, Christoph Aberle, Roger Schaer, Michael Bach, Markus Obmann, Kyriakos Flouris, Henning Müller, Bram Stieltjes, Ender Konukoglu, Vincent Andrearczyk and Adrien Depeursinge, Impact of CT dose on AI performance: A comparison of radiomics, deep, and foundation models in a multi-centric anthropomorphic phantom study (2026), in: Medical Physics

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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Adrien Depeursinge, Masahiro Yanagawa, Ann N. Leung and Daniel L. Rubin, Predicting Adenocarcinoma Recurrence Using Computational Texture Models of Nodule Components in Lung CT (2015), in: Medical Physics, 42:4(2054-2063)

[]: Impact Factor=3.012

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Christelle Despont-Gros, Paul Fabry, Henning Müller, Antoine Geissbuhler and Christian Lovis, User acceptance of clinical information systems: A methodological approach to identify the key dimensions allowing a reliable evaluation framework (2004), in: MedInfo 2004, 11:2(1038-1042)

Henning Müller, Allan Hanbury and Najeed Al Shorbaji, Methods special topic section, introduction to medical information retrieval (2012), in: Methods of Information in Medicine, 51:6(516-518)

Henning Müller and Antoine Geissbuhler, Medical Multimedia Retrieval 2.0 (2008), in: Methods of Information in Medicine, 3:supplement 1(55-63)

[]: Impact Factor: 1.451 (2007)

Henning Müller, Sensors, Signals, and Images in Medical Informatics: Progress and Evaluation (2008), in: Methods of Information in Medicine, 3:supplement 1(64-66)

[]: Impact Factor: 1.451 (2007)

Cheickh-Oumar Bagayoko, Henning Müller and Antoine Geissbuhler, Assessment of Internet-based Telemedicine in Western Africa (The RAFT project) (2007), in: Methods of Information in Medicine(21)

Bogdan Ionescu, Adrian Popescu, Anca-Livia Radu and Henning Müller, Result Diversification in Social Image Retrieval: A Benchmarking Framework (2016), in: Multimedia Tools and Applications, 75:2(1301-1331)

[]: IF 2013 =1.058

Antonio Foncubierta-Rodríguez, Henning Müller and Adrien Depeursinge, Retrieval of high-dimensional visual data: current state, trends and challenges ahead (2014), in: Multimedia Tools and Applications, 69:2(539-567)

[]: Impact Factor=1.014

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Federico Spagnolo, Pedro M. Gordaliza, Aarushi Bhardwaj, Po-Jui Lu, Mario Ocampo-Pineda, Meritxell Bach Cuadra, Matthias Weigel, Esther Ruberte, Xinjie Chen, Tommaso Sirito, Alessandro Cagol, Vincent Andrearczyk, Adrien Depeursinge and Cristina Granziera, A multi-modal deep learning network for the classification of paramagnetic rim and remyelinated lesions in multiple sclerosis (2026), in: Multiple Sclerosis Journal

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)

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

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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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Pierre Fontaine, Oscar Acosta, Joel Castelli, R. De Crevoisier, Henning Müller and Adrien Depeursinge, The Importance of Feature Aggregation in Radiomics: A Head and Neck Cancer Study (2020), in: Nature Scientific Reports, 10:19679

[]: IF 2019 = 3.998

Dmitry Chezerov, Dmitry Goldgof, Lawrence Hall, Robert Gillies, Matther Schabath, Henning Müller and Adrien Depeursinge, Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness (2019), in: Nature Scientific Reports, 9:1(4500)

[]: IF 2016 = 4.259

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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Jérémy Perriraz, Daniel Abler, Paolo Salvioni Chiabotti, Lawrence Hall, Noemie Lejay, George Kurian, Thomas Vetterli, Olivier Rouaud, Marie Nicod Lalonde, Niklaus Schaefer, Gilles Allali, Adrien Depeursinge, John O. Prior and Mario Jreige, A radiomics-based analysis of functional dopaminergic scintigraphic imaging for the diagnosis of dementia with Lewy bodies (2025), in: Neurodegenerative Diseases

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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Paul Blanc-Durand, Axel Van der Gucht, Mario Jreige, Marie Nicod-Lalonde, Marina Silva-Monteiro, John O. Prior, Alban Denys, Adrien Depeursinge and Niklaus Schaefer, Signature of Survival: A 18F-FDG PET Based Whole-Liver Radiomics Analysis Predicts Survival After 90Y-TARE for Hepatocellular Carcinoma (2017), in: OncoTarget, 9:4(4549-4558)

[]: IF 2016 = 5.168

Roger Schaer, Sebastian Otalora, Oscar Jimenez del Toro, Manfredo Atzori and Henning Müller, Deep learning based retrieval system for gigapixel histopathology cases and open access literature (2019), in: Pathology Informatics

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Thomas Deselaers, Thomas M. Deserno and Henning Müller, Automatic Medical Image Annotation in ImageCLEF 2007: Overview, Results, and Discussion (2008), in: Pattern Recognition Letters, 29:15(1988-1995)

[]: Impact Factor: 0.853 (2007)

Thomas Deselaers, Henning Müller and Thomas M. Deserno, Editorial on the special issue on medical image annotation in ImageCLEF 2007 (2008), in: Pattern Recognition Letters, 29:15(1987)

[]: Impact Factor: 0.853 (2007)

Xin Zhou, Adrien Depeursinge and Henning Müller, Hierarchical classification using a frequency-based weighting and simple visual features (2008), in: Pattern Recognition Letters, 29:15(2011-2017)

[]: Impact Factor: 0.853 (2007)

Thomas Deselaers, Henning Müller and Thomas M. Deserno, Special issue of ImageCLEF (2008), in: Pattern Recognition Letters, 29(1987)

[]: Impact Factor: 0.853 (2007)

Xin Zhou, Mikko Juhani Pitkanen, Adrien Depeursinge and Henning Müller, A Medical Image Retrieval Application Using Grid Technologies To Speed Up Feature Extraction in Medical Image Retrieval (2009), in: Philippine Journal of Information Technology

Henning Müller, Antoine Rosset, Arnaud Garcia, Jean-Paul Vallée and Antoine Geissbuhler, Benefits from content-based visual data access in radiology (2005), in: radiographics, 25:3(849-858)

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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 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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Alex Zwanenburg, Mahmoud A. Abdalah, Hugo Aerts, Vincent Andrearczyk, Aditya Apte, Saeed Ashrafinia, Roelof J. Beukinga, Ronald Boellaard, Marta Bogowicz, Luca Boldrini, Adrien Depeursinge, Marie-Charlotte Desseroit, Nicola Dinapoli, Cuong Viet Dinh, Sebastian Echegaray, Issam El Naqa, Andriy Y. Fedorov, Roberto Gatta, Robert J. Gillies, Matthias Guckenberger, Nils Gählert, Michael Götz, Mathieu Hatt, Fabian Isensee, Philippe Lambin, Stefan Leger, Ralph T. H. Leijenaar, Jacopo Lenkowicz, Fiona Lippert, Are Losnegård, Klaus H. Maier-Hein, Olivier Morin, Henning Müller, Sandy Napel, Arman Rahmim, Arvind U. K. Rao, Nanna M. Sijtsema, Jairo Socarras Fernandez, Emiliano Spezi, Roel J. H. M Steenbakkers, Stephanie Tanadini-Lang, Daniela Thorwarth, Esther G. C. Troost, Taman Upadhaya, Vincenzo Valentini, Martin Vallìères, Uulke A. van der Heide, Lisanne V. van Dijk, Joost van Griethuysen, Floris H. P. van Velden, Philip Whybra, Christian Richter and Steffen Löck, Standardized quantitative radiomics for high-throughput image-based phenotyping (2020), in: Radiology, 295:2(328-338)

[]: IF 2018 = 7.608

Manfredo Atzori, Cesare Tiengo, Franco Bassetto and Henning Müller, Elettromiografia, protesica e robotica in rapido progresso verso l'amputazione funzionale: i risultati del progetto Ninapro (2016), in: Rivista di Chirurgia della mano, 53:3

Manfredo Atzori, Arjan Gijsberts, Claudio Castellini, Barbara Caputo, Anne-Gabrielle Mittaz Hager, Elsig Simone, Giorgio Giatsidis, Franco Bassetto and Henning Müller, Electromyography data for non-invasive naturally controlled robotic hand prostheses (2014), in: Scientific Data, 1:140053

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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

Lorraine Goeuriot, Liadh Kelly, Gareth Jones, Henning Müller and Justin Zobel, Report on the SIGIR workshop on medical information retrieval (MedIR) (2014), in: SIGIR Forum

Pamela Forner, Luisa Bentivogli, Martin Braschler, Khalid Choukri, Nicola Ferro, Allan Hanbury, Jussi Karlgren and Henning Müller, PROMISE Technology Transfer Day (2013), in: SIGIR Forum

Maristella Agosti, Tiziana Catarci, Nicola Ferro, Henning Müller and Giuseppe Santucci, PROMISE Winter School 2012: Information Retrieval meets Information Visualization (2012), in: SIGIR Forum, 46:1(65-70)

Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge and Vincent Andrearczyk, On the Scale Invariance in State of the Art CNNs Trained on ImageNet (2021), in: Special Issue "Interpretable and Annotation-Efficient Learning for Medical Image Computing" in Machine Learning and Knowledge Extraction:3(374–391)

Henning Müller, Paul Clough, Thomas Deselaers and Barbara Caputo, ImageCLEF - Experimental Evaluation of Visual Information Retrieval (2010), in: Springer

Barbara Caputo, Henning Müller, Tanveer Syeda Mahmood, Jayashree Kalpathy-Cramer, Fei Wang and James Duncan, Editorial of MICCAI Workshop Proceedings on Medical Content-based Retrieval for Clinical Decision Support (2010), in: Springer Lecture Notes in Computer Sciences (LNCS):5853

[]: Impact Factor: 0.402 (2005)

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Adrien Depeursinge, Jimison Iavindrasana, Herizo Andriambololoniaina, Pierre-Alexandre Poletti, Alexandra Platon, Antoine Geissbuhler and Henning Müller, A framework for diagnosing interstitial lung diseases in HRCT : the TALISMAN project (2008), in: Swiss Medical Informatics, 64(17-20)

Christian Lovis, Henning Müller, Dirk Colaert and Veli N. Stroetmann, DebugIT for Patient Safety - Fight Against Emergent Microbial Diseases Using Multimedia Data Mining of Heterogeneous Clinical Data (2008), in: Swiss Medical Informatics, 64(32-35)

Henning Müller and Eusebio Passaretti, Editorial. (2008), in: Swiss Medical Informatics, 64

Jimison Iavindrasana, Adrien Depeursinge, Rodolphe Meyer, Stéphane Spahni, Antoine Geissbuhler and Henning Müller, How clinical information systems can support life science research (2008), in: Swiss Medical Informatics, 64(21-24)

Henning Müller, Samuel Marquis, Gilles Cohen, Pierre-Alexandre Poletti, Christian Lovis and Antoine Geissbuhler, Automatic abnormal region detection in lung CT images for visual retrieval (2005), in: Swiss Medical Informatics, 57(2-6)

Henning Müller, Patrick Ruch and Antoine Geissbuhler, Enriching content-based image retrieval with multi-lingual search terms (2005), in: Swiss Medical Informatics, 54(6-11)

Stéphane Meystre and Henning Müller, Open Source Software in the Biomedical Domain: Electronic Health Records and other useful applications (2005), in: Swiss Medical Informatics, 55(3-15)