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607 Publikationen (0 read)
984 Autoren [betrachten]
42 Unterthemen

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Arthur Chevalley, Maria Martin Asiain, Eric Moulton, Ran Klein, Robert DeKemp, John O. Prior, Mario Jreige, Christel H. Kamani und Adrien Depeursinge, Multi-depth Rubidium PET Graph Neural Network for Major Adverse Cardiac Event Prediction, in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2026, 2026

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Vincent Andrearczyk, Lorenz Achim Kuhn, Jonas Richiardi, Andreas Hottinger, Luis Schiappacasse, Vincent Dunet und Adrien Depeursinge, Dynamic Modeling of Brain Metastasis Response with Multitask Temporal Learning, in: Medical Image AI in Radiation Therapy (MIART) at MICCAI 2026, 2026

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Arthur Chevalley, Maria Martin Asiain, Eric Moulton, Ran Klein, Robert DeKemp, John O. Prior, Christel H. Kamani, Mario Jreige und Adrien Depeursinge, AI-Driven Volumetric 17-Segment Myocardial Blood Flow Characterisation Using [82Rb] PET/CT, ePoster at the Annual Congress of the European Association of Nuclear Medicine (EANM), 2026

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Maria Martin Asiain, Mohammadreza Amirian, Arthur Chevalley, Vincent Andrearczyk, Ran Klein, Robert DeKemp, Eric Moulton, Christel H. Kamani, John O. Prior, Mario Jreige und Adrien Depeursinge, Fully Automatic Left Ventricle Segmentation in Dynamic 82Rb PET/CT Using Deep Learning, Annual Swiss Congress of Radiology (SCR), 2026

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Arthur Chevalley, Maria Martin Asiain, Ran Klein, Robert DeKemp, John O. Prior, Mario Jreige, Christel H. Kamani, Eric Moulton und Adrien Depeursinge, Transmural myocardial blood flow characterization with AI-enabled parametric mapping improves prediction of major adverse cardiac events, Annual Congress of the American Society of Nuclear Cardiology (ASNC), 2026

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Daniel Abler, B. Pouymayou, Jason M. Keller, Adrien Depeursinge und A. Bink, Post-surgical detection of glioma recurrence using MRI radiomics (2026), in: Neuro-Oncology Advances, 8:1(vdag143)

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Mohammadreza Amirian, Arthur Chevalley, Maria Martin Asiain, Ran Klein, Robert DeKemp, Eric Moulton, John O. Prior, Christel H. Kamani, Mario Jreige und Adrien Depeursinge, Fully Automatic Left Ventricle Segmentation in 82Rb PET/CT Using a Semi-Supervised nnU-Net (2026), in: EJNMMI Research

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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 und 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, 53:3(e70374)

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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 und 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, 32:6(13524585261421491)

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Mohammadreza Amirian, Arthur Chevalley, Vincent Andrearczyk, Ran Klein, Robert DeKemp, Eric Moulton, Christel H. Kamani, John O. Prior, Mario Jreige und Adrien Depeursinge, Left Ventricle Segmentation in Dynamic 82Rb PET/CT Using Deep Convolutional Neural Networks, Annual Congress of the European Association of Nuclear Medicine (EANM), 2025

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Arthur Chevalley, Guillaume Bonnet, Mohammadreza Amirian, Vincent Andrearczyk, Sacha Bors, Ran Klein, Robert DeKemp, Eric Moulton, John O. Prior, Mario Jreige, Christel H. Kamani und Adrien Depeursinge, AI-based Prediction of Myocardium Viability Using [82Rb] PET/CT, Annual Congress of the European Association of Nuclear Medicine (EANM), 2025

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Lorenz Achim Kuhn, Daniel Abler, Jonas Richiardi, Andreas Hottinger, Luis Schiappacasse, Vincent Dunet, Adrien Depeursinge und Vincent Andrearczyk, AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery, in: Learning with Longitudinal Medical Images and Data at MICCAI 2025, Seiten 102-112, Springer Nature Switzerland, 2026

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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 und Mario Jreige, A radiomics-based analysis of functional dopaminergic scintigraphic imaging for the diagnosis of dementia with Lewy bodies (2026), in: Neurodegenerative Diseases, 26:1

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Federico Spagnolo, Aarushi Bhardwaj, Pedro M. Gordaliza, Po-Jui Lu, Mario Ocampo-Pineda, Meritxell Bach Cuadra, Xinjie Chen, Batuhan Ayci, Alessandro Cagol, Vincent Andrearczyk, Adrien Depeursinge und Cristina Granziera, Deep-PRL: a deep learning network for the identification of paramagnetic rim lesions in multiple sclerosis, in: ISMRM 2025, 2025

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Federico Spagnolo, Nataliia Molchanova, Mario Ocampo-Pineda, Lester Melie-Garcia, Meritxell Bach Cuadra, Cristina Granziera, Vincent Andrearczyk und Adrien Depeursinge, Exploiting XAI maps to improve MS lesion segmentation and detection in MRI, in: Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI, 2025

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Federico Spagnolo, Nataliia Molchanova, Roger Schaer, Meritxell Bach Cuadra, Mario Ocampo-Pineda, Lester Melie-Garcia, Cristina Granziera, Vincent Andrearczyk und 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 und 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, Seiten 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 und 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 und 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, 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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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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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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Federico Spagnolo, Adrien Depeursinge, Henning Müller, Aysenur Akbulut, Muhamed Barakovic, Lester Melie-Garcia, Sabine Schädelin und 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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Vincent Andrearczyk, Luis Schiappacasse, Daniel Abler, Marek Wodzinski, Andreas Hottinger, Matthieu Raccaud, Jean Bourhis, John O. Prior, Vincent Dunet und 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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Federico Spagnolo, Roger Schaer, Vincent Andrearczyk, Nataliia Molchanova, Mara Graziani, Henning Müller, Meritxell Bach Cuadra, Cristina Granziera und 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 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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Sacha Bors, Daniel Abler, Matthieu Dietz, Vincent Andrearczyk, Julien Fageot, Marie Nicod-Lalonde, Niklaus Schaefer, Robert DeKemp, Christel H. Kamani, John O. Prior und 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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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 und 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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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 und 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 und 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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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

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

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Philip Whybra, Roger Schaer, Adrien Depeursinge, Vincent Andrearczyk, Henning Müller, Martin Vallìères und Alex Zwanenburg, The Image Biomarker Standardisation Initiative (IBSI) On Reproducible Convolutional Radiomics, in: European Society of Radiology, 2022

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Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze-Le-Rest, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallìères, Dimitris Visvikis, Mathieu Hatt und Adrien Depeursinge, Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images, in: Head and Neck Tumor Segmentation and Outcome Prediction, Seiten 1-37, 2022

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Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Joel Castelli, John O. Prior und Adrien Depeursinge, Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CT, in: 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Seiten 4731-4735, 2022

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Valentin Oreiller, Julien Fageot, Vincent Andrearczyk, John O. Prior und Adrien Depeursinge, Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net, in: Medical Imaging with Deep Learning, 2022

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Michael Bach, Christoph Aberle, Adrien Depeursinge, Oscar Jimenez del Toro, Roger Schaer, Kyriakos Flouris, Ender Konukoglu, Henning Müller und 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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Virginie Uhlmann, Zsuzsanna Püspöki, Adrien Depeursinge, Michael Unser, Daniel Sage und 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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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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Kyriakos Flouris, Oscar Jimenez del Toro, Christoph Aberle, Michael Bach, Roger Schaer, Markus Obmann, Bram Stieltjes, Henning Müller, Adrien Depeursinge und 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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Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Daniel Abler, Joel Castelli, Oscar Acosta, R. De Crevoisier, Martin Vallìères, Mario Jreige, John O. Prior und 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 und 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 und 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 Vallìères, 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 und 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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Vincent Andrearczyk, Pierre Fontaine, Valentin Oreiller, Joel Castelli, Mario Jreige, John O. Prior und Adrien Depeursinge, Multi-Task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer, in: 4th Workshop on PRedictive Intelligence in MEdicine, Seiten 147-156, Springer LNCS, 2021

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

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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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Oscar Jimenez del Toro, Christoph Aberle, Michael Bach, Roger Schaer, Markus Obmann, Kyriakos Flouris, Ender Konukoglu, Bram Stieltjes, Henning Müller und Adrien Depeursinge, The discriminative power and stability of radiomics features with CT variations: Task-based analysis in an anthropomorphic 3D-printed CT phantom (2021), in: Investigative Radiology, 56:12(820-825)

[]: IF 2020 = 5.156

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Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge und 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)

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Roger Schaer, Valentin Oreiller, Orfeas Aidonopoulos, John O. Prior und Adrien Depeursinge, QuantImage v2: an Open-Source and Web-Based Integrated Platform for Clinical Radiomics Research, in: Joint scientific session SSRMP/SGR-SSR, 2021

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