Adrien Depeursinge

121 papers A* 2A 1B 6C 1Journal 51Unranked 54

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Multi-Centric Anthropomorphic 3D CT Phantom-Based Benchmark Dataset for Harmonization. CoRR Mohammadreza Amirian, Michael Bach, Oscar Alfonso Jiménez del Toro, Christoph Aberle, Roger Schaer, Vincent Andrearczyk, Jean-Félix Maestrati, María Martin Asiain, Kyriakos Flouris, Markus M. Obmann, Clarisse Dromain, Benoît Dufour, Pierre-Alexandre Poletti, Hendrik von Tengg-Kobligk, Rolf Hügli, Martin Kretzschmar, Hatem Alkadhi, Ender Konukoglu, Henning Müller, Bram Stieltjes, Adrien Depeursinge
2025	J	`jnl`	A Multimodal and Multi-centric Head and Neck Cancer Dataset for Segmentation, Diagnosis and Outcome Prediction. CoRR Numan Saeed, Salma Hassan, Shahad Hardan, Ahmed Aly, Darya Taratynova, Umair Nawaz, Ufaq Khan, Muhammad Ridzuan, Vincent Andrearczyk, Adrien Depeursinge, Yutong Xie, Thomas Eugene, Raphaël Metz, Mélanie Dore, Gregory Delpon, Vijay Ram Papineni, Kareem A. Wahid, Cem Dede, Alaa Mohamed Shawky Ali, Carlos Sjogreen, Mohamed A. Naser, Clifton D. Fuller, Valentin Oreiller, Mario Jreige, John O. Prior, Catherine Cheze Le Rest, Olena Tankyevych, Pierre Decazes, Su Ruan, Stephanie Tanadini-Lang, Martin Vallières, Hesham Elhalawani, Ronan Abgral, Romain Floch, Kevin Kerleguer, Ulrike Schick, Maelle Mauguen, David Bourhis, Jean-Christophe Leclere, Amandine Sambourg, Arman Rahmim, Mathieu Hatt, Mohammad Yaqub
2025	—	`conf`	AI-Based Response Assessment and Prediction in Longitudinal Imaging for Brain Metastases Treated with Stereotactic Radiosurgery. LMID@MICCAI Lorenz Achim Kuhn, Daniel Abler, Jonas Richiardi, Andreas Hottinger, Luis Schiappacasse, Vincent Dunet, Adrien Depeursinge, Vincent Andrearczyk
2025	J	`jnl`	AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery. CoRR Lorenz Achim Kuhn, Daniel Abler, Jonas Richiardi, Andreas Hottinger, Luis Schiappacasse, Vincent Dunet, Adrien Depeursinge, Vincent Andrearczyk
2025	J	`jnl`	Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis. CoRR Nataliia Molchanova, Alessandro Cagol, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Erin S. Beck, Charidimos Tsagkas, Daniel S. Reich, Colin Vanden Bulcke, Anna Stölting, Serena Borrelli, Pietro Maggi, Adrien Depeursinge, Cristina Granziera, Henning Müller, Pedro M. Gordaliza, Meritxell Bach Cuadra
2025	J	`jnl`	Explainability of AI Uncertainty: Application to Multiple Sclerosis Lesion Segmentation on MRI. CoRR Nataliia Molchanova, Pedro M. Gordaliza, Alessandro Cagol, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Erin S. Beck, Haris Tsagkas, Daniel S. Reich, Anna Stölting, Pietro Maggi, Delphine Ribes, Adrien Depeursinge, Cristina Granziera, Henning Müller, Meritxell Bach Cuadra
2025	—	`conf`	LEXU: Learning from Expert Disagreement for Single-Pass Uncertainty Estimation in Medical Image Segmentation. UNSURE@MICCAI Kudaibergen Abutalip, Numan Saeed, Fadillah A. Maani, Ikboljon Sobirov, Vincent Andrearczyk, Adrien Depeursinge, Mohammad Yaqub
2025	J	`jnl`	Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation. Comput. Biol. Medicine Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller, Mara Graziani, Meritxell Bach Cuadra
2025	J	`jnl`	The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information. CoRR Daniel Abler, O. Pusterla, A. Joye-Kühnis, Nicolaus Andratschke, Meritxell Bach, A. Bink, S. M. Christ, Patric Hagmann, B. Pouymayou, E. Pravatà, Piotr Radojewski, Mauricio Reyes, L. Ruinelli, Roger Schaer, Bram Stieltjes, G. Treglia, Waldo Valenzuela, Roland Wiest, S. Zoergiebel, Matthias Guckenberger, Stephanie Tanadini-Lang, Adrien Depeursinge
2024	—	`conf`	A Bispectral 3D U-Net for Rotation Robustness in Medical Segmentation. TGI3@MICCAI Arthur Chevalley, Valentin Oreiller, Julien Fageot, John O. Prior, Vincent Andrearczyk, Adrien Depeursinge
2024	—	`conf`	Comparing Stability and Discriminatory Power of Hand-Crafted Versus Deep Radiomics: A 3D-Printed Anthropomorphic Phantom Study. EUVIP Oscar Alfonso Jiménez del Toro, Christoph Aberle, Roger Schaer, Michael Bach, Kyriakos Flouris, Ender Konukoglu, Bram Stieltjes, Markus M. Obmann, André Anjos, Henning Müller, Adrien Depeursinge
2024	J	`jnl`	EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation. CoRR Kudaibergen Abutalip, Numan Saeed, Ikboljon Sobirov, Vincent Andrearczyk, Adrien Depeursinge, Mohammad Yaqub
2024	—	`conf`	Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI. ISIC/iMIMIC/EARTH/DeCaF@MICCAI Federico Spagnolo, Nataliia Molchanova, Mario Ocampo-Pineda, Lester Melie-García, Meritxell Bach Cuadra, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge
2024	J	`jnl`	Exploiting XAI maps to improve MS lesion segmentation and detection in MRI. CoRR Federico Spagnolo, Nataliia Molchanova, Mario Ocampo-Pineda, Lester Melie-García, Meritxell Bach Cuadra, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge
2024	J	`jnl`	Instance-level quantitative saliency in multiple sclerosis lesion segmentation. CoRR Federico Spagnolo, Nataliia Molchanova, Roger Schaer, Meritxell Bach Cuadra, Mario Ocampo-Pineda, Lester Melie-García, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge
2024	—	`conf`	Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis. ISIC/iMIMIC/EARTH/DeCaF@MICCAI Nataliia Molchanova, Alessandro Cagol, Pedro M. Gordaliza, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Adrien Depeursinge, Cristina Granziera, Henning Müller, Meritxell Bach Cuadra
2024	J	`jnl`	Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis. CoRR Nataliia Molchanova, Alessandro Cagol, Pedro M. Gordaliza, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Adrien Depeursinge, Cristina Granziera, Henning Müller, Meritxell Bach Cuadra
2023	J	`jnl`	A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences. Artif. Intell. Rev. Mara Graziani, Lidia Dutkiewicz, Davide Calvaresi, José Pereira Amorim, Katerina Yordanova, Mor Vered, Rahul Nair, Pedro Henriques Abreu, Tobias Blanke, Valeria Pulignano, John O. Prior, Lode Lauwaert, Wessel Reijers, Adrien Depeursinge, Vincent Andrearczyk, Henning Müller
2023	J	`jnl`	Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge. Medical Image Anal. Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Olena Tankyevych, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge
2023	—	`ed.`	Head and Neck Tumor Segmentation and Outcome Prediction - Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings HECKTOR@MICCAI Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge
2023	J	`jnl`	MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. CoRR 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, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Löffler, 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, Arcot Sowmya, Eduardo A. Garza-Villarreal, Thania Balducci, et al.
2023	A*	`conf`	Rethinking the Role of AI with Physicians in Oncology: Revealing Perspectives from Clinical and Research Workflows. CHI Himanshu Verma, Jakub Mlynár, Roger Schaer, Julien Reichenbach, Mario Jreige, John O. Prior, Florian Evéquoz, Adrien Depeursinge
2023	J	`jnl`	Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation. CoRR Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller, Mara Graziani, Meritxell Bach Cuadra
2023	A*	`conf`	Why is the Winner the Best? CVPR Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
2023	J	`jnl`	Why is the winner the best? CoRR Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.
2022	J	`jnl`	Biomedical image analysis competitions: The state of current participation practice. CoRR Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, J. Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.
2022	—	`ed.`	Head and Neck Tumor Segmentation and Outcome Prediction - Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings HECKTOR@MICCAI Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge
2022	J	`jnl`	Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. Medical Image Anal. Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, Sarah Boughdad, Hesham Elhalawani, Joël 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, Adrien Depeursinge
2022	J	`jnl`	Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images. CoRR Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge
2022	—	`conf`	Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. HECKTOR@MICCAI Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joël Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca Saint-Esteven, Abdallah Sherif Radwan Mohamed, Mohamed A. Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem A. Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge
2022	—	`conf`	Robust Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net. MIDL Valentin Oreiller, Julien Fageot, Vincent Andrearczyk, John O. Prior, Adrien Depeursinge
2022	—	`conf`	Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CT. EMBC Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Joël Castelli, John O. Prior, Adrien Depeursinge
2022	J	`jnl`	Steer'n'Detect: fast 2D template detection with accurate orientation estimation. Bioinform. Virginie Uhlmann, Zsuzsanna Püspöki, Adrien Depeursinge, Michael Unser, Daniel Sage, Julien Fageot
2021	—	`conf`	Comparison of MR Preprocessing Strategies and Sequences for Radiomics-Based MGMT Prediction. BrainLes@MICCAI (2) Daniel Abler, Vincent Andrearczyk, Valentin Oreiller, Javier Barranco Garcia, Diem Vuong, Stephanie Tanadini-Lang, Matthias Guckenberger, Mauricio Reyes, Adrien Depeursinge
2021	—	`conf`	Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT. ML-CDS@MICCAI Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Joël Castelli, Mario Jreige, John O. Prior, Adrien Depeursinge
2021	—	`ed.`	Head and Neck Tumor Segmentation - First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings HECKTOR@MICCAI Vincent Andrearczyk, Valentin Oreiller, Adrien Depeursinge
2021	—	`conf`	Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer. PRIME@MICCAI Vincent Andrearczyk, Pierre Fontaine, Valentin Oreiller, Joël Castelli, Mario Jreige, John O. Prior, Adrien Depeursinge
2021	J	`jnl`	On the Scale Invariance in State of the Art CNNs Trained on ImageNet. Mach. Learn. Knowl. Extr. Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge, Vincent Andrearczyk
2021	—	`conf`	Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images. HECKTOR@MICCAI Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge
2021	J	`jnl`	Principled Design and Implementation of Steerable Detectors. IEEE Trans. Image Process. Julien Fageot, Virginie Uhlmann, Zsuzsanna Püspöki, Benjamin Beck, Michael Unser, Adrien Depeursinge
2020	J	`jnl`	3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis. CoRR Valentin Oreiller, Vincent Andrearczyk, Julien Fageot, John O. Prior, Adrien Depeursinge
2020	B	`conf`	An exploration of uncertainty information for segmentation quality assessment. Image Processing Katharina Hoebel, Vincent Andrearczyk, Andrew Beers, Jay B. Patel, Ken Chang, Adrien Depeursinge, Henning Müller, Jayashree Kalpathy-Cramer
2020	—	`conf`	Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans. MIDL Vincent Andrearczyk, Valentin Oreiller, Martin Vallières, Joël Castelli, Hesham Elhalawani, Mario Jreige, Sarah Boughdad, John O. Prior, Adrien Depeursinge
2020	—	`conf`	Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinoma. EMBC Pierre Fontaine, Francois-Georges Riet, Joël Castelli, Khemara Gnep, Adrien Depeursinge, Renaud de Crevoisier, Oscar Acosta
2020	—	`conf`	Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging. iMIMIC/MIL3ID/LABELS@MICCAI Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge, Vincent Andrearczyk
2020	J	`jnl`	Local Rotation Invariance in 3D CNNs. CoRR Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge
2020	J	`jnl`	Local rotation invariance in 3D CNNs. Medical Image Anal. Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge
2020	—	`conf`	Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT. HECKTOR@MICCAI Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Martin Vallières, Joël Castelli, Hesham Elhalawani, Sarah Boughdad, John O. Prior, Adrien Depeursinge
2020	J	`jnl`	Standardised convolutional filtering for radiomics. CoRR Adrien Depeursinge, Vincent Andrearczyk, Philip Whybra, Joost van Griethuysen, Henning Müller, Roger Schaer, Martin Vallières, Alex Zwanenburg
2019	—	`conf`	A lung graph model for the classification of interstitial lung diseases on CT images. Computer-Aided Diagnosis Guillaume Vanoost, Yashin Dicente Cid, Daniel L. Rubin, Adrien Depeursinge
2019	—	`conf`	Exploring local rotation invariance in 3D CNNs with steerable filters. MIDL Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge
2019	J	`jnl`	Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification. Medical Image Anal. Ranveer Joyseeree, Sebastian Otálora, Henning Müller, Adrien Depeursinge
2019	J	`jnl`	Texture-driven parametric snakes for semi-automatic image segmentation. Comput. Vis. Image Underst. Anaïs Badoual, Michael Unser, Adrien Depeursinge
2018	J	`jnl`	Fast Rotational Sparse Coding. CoRR Michael T. McCann, Michael Unser, Adrien Depeursinge
2018	J	`jnl`	Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth, Georgios Z. Papadakis, Adrien Depeursinge, Ronald M. Summers, Ziyue Xu, Daniel J. Mollura
2018	—	`conf`	Holographic Visualisation and Interaction of Fused CT, PET and MRI Volumetric Medical Imaging Data Using Dedicated Remote GPGPU Ray Casting. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI Magali Fröhlich, Christophe Bolinhas, Adrien Depeursinge, Antoine Widmer, Nicolas Chevrey, Patric Hagmann, Christian Simon, Vivianne B. C. Kokje, Stéphane Gobron
2018	—	`conf`	Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features. MLMI@MICCAI Adrien Depeursinge, Julien Fageot, Vincent Andrearczyk, John Paul Ward, Michael Unser
2018	J	`jnl`	Rotation-covariant tissue analysis for interstitial lung diseases using learned steerable filters: Performance evaluation and relevance for diagnostic aid. Comput. Medical Imaging Graph. Ranveer Joyseeree, Henning Müller, Adrien Depeursinge
2018	J	`jnl`	Rotational 3D Texture Classification Using Group Equivariant CNNs. CoRR Vincent Andrearczyk, Adrien Depeursinge
2017	J	`jnl`	3D Solid Texture Classification Using Locally-Oriented Wavelet Transforms. IEEE Trans. Image Process. Yashin Dicente Cid, Henning Müller, Alexandra Platon, Pierre-Alexandre Poletti, Adrien Depeursinge
2017	J	`jnl`	From visual words to a visual grammar: using language modelling for image classification. CoRR Antonio Foncubierta-Rodríguez, Henning Müller, Adrien Depeursinge
2017	J	`jnl`	Steerable Wavelet Machines (SWM): Learning Moving Frames for Texture Classification. IEEE Trans. Image Process. Adrien Depeursinge, Zsuzsanna Püspöki, John Paul Ward, Michael Unser
2017	—	`ch.`	Text- and Content-Based Medical Image Retrieval in the VISCERAL Retrieval Benchmark. Cloud-Based Benchmarking of Medical Image Analysis Fan Zhang, Yang Song, Weidong Cai, Adrien Depeursinge, Henning Müller
2016	J	`jnl`	A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CT. IEEE Trans. Medical Imaging Pol Cirujeda, Yashin Dicente Cid, Henning Müller, Daniel L. Rubin, Todd A. Aguilera, Billy W. Loo, Maximilian Diehn, Xavier Binefa, Adrien Depeursinge
2016	—	`conf`	A Lung Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images. MCV/BAMBI@MICCAI Yashin Dicente Cid, Henning Müller, Alexandra Platon, Jean-Paul Janssens, Frédéric Lador, Pierre-Alexandre Poletti, Adrien Depeursinge
2016	J	`jnl`	Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles. Medical Image Anal. Jocelyn Barker, Assaf Hoogi, Adrien Depeursinge, Daniel L. Rubin
2016	C	`conf`	GPU-Accelerated Texture Analysis Using Steerable Riesz Wavelets. PDP Anamaria Vizitiu, Lucian Mihai Itu, Ranveer Joyseeree, Adrien Depeursinge, Henning Müller, Constantin Suciu
2016	—	`conf`	Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment. MICCAI (1) Omar S. Al-Kadi, Dimitri Van De Ville, Adrien Depeursinge
2016	J	`jnl`	Optimized Distributed Hyperparameter Search and Simulation for Lung Texture Classification in CT Using Hadoop. J. Imaging Roger Schaer, Henning Müller, Adrien Depeursinge
2015	—	`conf`	3D Riesz-wavelet based Covariance descriptors for texture classification of lung nodule tissue in CT. EMBC Pol Cirujeda, Henning Müller, Daniel L. Rubin, Todd A. Aguilera, Billy W. Loo, Maximilian Diehn, Xavier Binefa, Adrien Depeursinge
2015	—	`conf`	Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma. MICCAI (1) Sebastian Otálora, Angel Cruz-Roa, John Edison Arevalo Ovalle, Manfredo Atzori, Anant Madabhushi, Alexander R. Judkins, Fabio A. González, Henning Müller, Adrien Depeursinge
2015	—	`conf`	Efficient and fully automatic segmentation of the lungs in CT volumes. VISCERAL Challenge@ISBI Yashin Dicente Cid, Oscar Alfonso Jiménez del Toro, Adrien Depeursinge, Henning Müller
2015	—	`conf`	Hierarchic Anatomical Structure Segmentation Guided by Spatial Correlations (AnatSeg-Gspac): VISCERAL Anatomy3. VISCERAL Challenge@ISBI Oscar Alfonso Jiménez del Toro, Yashin Dicente Cid, Adrien Depeursinge, Henning Müller
2015	—	`conf`	Optimized steerable wavelets for texture analysis of lung tissue in 3-D CT: Classification of usual interstitial pneumonia. ISBI Adrien Depeursinge, Pedram Pad, Anne S. Chin, Ann N. Leung, Daniel L. Rubin, Henning Müller, Michael Unser
2015	—	`conf`	Pulmonary embolism detection using localized vessel-based features in dual energy CT. Computer-Aided Diagnosis Yashin Dicente Cid, Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Alexandra Platon, Pierre-Alexandre Poletti, Henning Müller
2015	—	`conf`	Texture classification of anatomical structures in CT using a context-free machine learning approach. Computer-Aided Diagnosis Oscar Alfonso Jiménez del Toro, Antonio Foncubierta-Rodríguez, Adrien Depeursinge, Henning Müller
2015	—	`conf`	USYD/HES-SO in the VISCERAL Retrieval Benchmark. MRDM@ECIR Fan Zhang, Yang Song, Weidong Cai, Adrien Depeursinge, Henning Müller
2015	J	`jnl`	Using MapReduce for Large-scale Medical Image Analysis. CoRR Dimitrios Markonis, Roger Schaer, Ivan Eggel, Henning Müller, Adrien Depeursinge
2014	B	`conf`	A semantic framework for the retrieval of similar radiological images based on medical annotations. ICIP Camille Kurtz, Adrien Depeursinge, Christopher F. Beaulieu, Daniel L. Rubin
2014	—	`conf`	Enhanced visualization of pulmonary perfusion in 4D Dual Energy CT images. EMBC Antonio Foncubierta-Rodríguez, Antoine Widmer, Adrien Depeursinge, Henning Müller
2014	J	`jnl`	On combining image-based and ontological semantic dissimilarities for medical image retrieval applications. Medical Image Anal. Camille Kurtz, Adrien Depeursinge, Sandy Napel, Christopher F. Beaulieu, Daniel L. Rubin
2014	J	`jnl`	Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT. IEEE Trans. Medical Imaging Adrien Depeursinge, Camille Kurtz, Christopher F. Beaulieu, Sandy Napel, Daniel L. Rubin
2014	J	`jnl`	Retrieval of high-dimensional visual data: current state, trends and challenges ahead. Multim. Tools Appl. Antonio Foncubierta-Rodríguez, Henning Müller, Adrien Depeursinge
2014	J	`jnl`	Rotation-Covariant Texture Learning Using Steerable Riesz Wavelets. IEEE Trans. Image Process. Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Dimitri Van De Ville, Henning Müller
2014	J	`jnl`	Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities. Medical Image Anal. Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Dimitri Van De Ville, Henning Müller
2013	—	`conf`	Benefits of texture analysis of dual energy CT for Computer-Aided pulmonary embolism detection. EMBC Antonio Foncubierta-Rodríguez, Oscar Alfonso Jiménez del Toro, Alexandra Platon, Pierre-Alexandre Poletti, Henning Müller, Adrien Depeursinge
2013	—	`conf`	Epileptogenic Lesion Quantification in MRI Using Contralateral 3D Texture Comparisons. MICCAI (2) Oscar Alfonso Jiménez del Toro, Antonio Foncubierta-Rodríguez, María Isabel Vargas Gómez, Henning Müller, Adrien Depeursinge
2013	—	`conf`	Mobile Image Upload for Radiology. MedInfo Philipp Oggier, Henning Müller, Adrien Depeursinge
2013	—	`conf`	Rotation-covariant texture analysis of 4D dual-energy CT as an indicator of local pulmonary perfusion. ISBI Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Alejandro Vargas, Dimitri Van De Ville, Alexandra Platon, Pierre-Alexandre Poletti, Henning Müller
2012	J	`jnl`	Building a reference multimedia database for interstitial lung diseases. Comput. Medical Imaging Graph. Adrien Depeursinge, Alejandro Vargas, Alexandra Platon, Antoine Geissbühler, Pierre-Alexandre Poletti, Henning Müller
2012	J	`jnl`	Case-based lung image categorization and retrieval for interstitial lung diseases: clinical workflows. Int. J. Comput. Assist. Radiol. Surg. Adrien Depeursinge, Alejandro Vargas, Frédéric Gaillard, Alexandra Platon, Antoine Geissbühler, Pierre-Alexandre Poletti, Henning Müller
2012	J	`jnl`	Mobile Medical Visual Information Retrieval. IEEE Trans. Inf. Technol. Biomed. Adrien Depeursinge, Samuel Duc, Ivan Eggel, Henning Müller
2012	—	`conf`	Multiscale Lung Texture Signature Learning Using the Riesz Transform. MICCAI (3) Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Dimitri Van De Ville, Henning Müller
2012	J	`jnl`	Near-Affine-Invariant Texture Learning for Lung Tissue Analysis Using Isotropic Wavelet Frames. IEEE Trans. Inf. Technol. Biomed. Adrien Depeursinge, Dimitri Van De Ville, Alexandra Platon, Antoine Geissbühler, Pierre-Alexandre Poletti, Henning Müller
2012	—	`conf`	Retrieval of 4D Dual Energy CT for Pulmonary Embolism Diagnosis. MCBR-CDS Antonio Foncubierta-Rodríguez, Alejandro Vargas, Alexandra Platon, Pierre-Alexandre Poletti, Henning Müller, Adrien Depeursinge
2012	B	`conf`	Three dimensional multi-scale visual words for texture-based cerebellum segmentation. Image Processing Antonio Foncubierta-Rodríguez, Adrien Depeursinge, Laura Gui, Henning Müller
2012	—	`conf`	Using MapReduce for Large-Scale Medical Image Analysis. HISB Dimitrios Markonis, Roger Schaer, Ivan Eggel, Henning Müller, Adrien Depeursinge
2011	—	`conf`	3D lung image retrieval using localized features. Computer-Aided Diagnosis Adrien Depeursinge, Tatjana Zrimec, Sata Busayarat, Henning Müller
2011	—	`conf`	Lung Texture Classification Using Locally-Oriented Riesz Components. MICCAI (3) Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Dimitri Van De Ville, Henning Müller
2011	—	`conf`	Medical Visual Information Retrieval Based on Multi-Dimensional Texture Modeling. FET Adrien Depeursinge, Henning Müller
2011	—	`conf`	Overview of the Second Workshop on Medical Content-Based Retrieval for Clinical Decision Support. MCBR-CDS Adrien Depeursinge, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood, Henning Müller
2011	—	`conf`	Using Multiscale Visual Words for Lung Texture Classification and Retrieval. MCBR-CDS Antonio Foncubierta-Rodríguez, Adrien Depeursinge, Henning Müller
2010	—	`—`	Affine-invariant texture analysis and retrieval of 3D medical images with clinical context integration. Adrien Depeursinge
2010	B	`conf`	Asymmetric-margin support vector machines for lung tissue classification. IJCNN Jimison Iavindrasana, Adrien Depeursinge, Gilles Cohen, Antoine Geissbühler, Henning Müller
2010	J	`jnl`	Comparative Performance Analysis of State-of-the-Art Classification Algorithms Applied to Lung Tissue Categorization. J. Digit. Imaging Adrien Depeursinge, Jimison Iavindrasana, Asmâa Hidki, Gilles Cohen, Antoine Geissbühler, Alexandra Platon, Pierre-Alexandre Poletti, Henning Müller
2010	J	`jnl`	Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography. Artif. Intell. Medicine Adrien Depeursinge, Daniel Racoceanu, Jimison Iavindrasana, Gilles Cohen, Alexandra Platon, Pierre-Alexandre Poletti, Henning Müller
2010	—	`ch.`	Fusion Techniques for Combining Textual and Visual Information Retrieval. ImageCLEF Adrien Depeursinge, Henning Müller
2010	—	`conf`	Information Fusion for Combining Visual and Textual Image Retrieval in ImageCLEF@ICPR. ICPR Contests Xin Zhou, Adrien Depeursinge, Henning Müller
2010	B	`conf`	Information Fusion for Combining Visual and Textual Image Retrieval. ICPR Xin Zhou, Adrien Depeursinge, Henning Müller
2010	—	`conf`	Measuring the effectiveness of hospital-acquired infection prevention. MedInfo Jimison Iavindrasana, Gilles Cohen, Adrien Depeursinge, Henning Müller, Rodolphe Meyer, Hugo Sax, Antoine Geissbühler
2009	—	`conf`	3D Case-Based Retrieval for Interstitial Lung Diseases. MCBR-CDS Adrien Depeursinge, Alejandro Vargas, Alexandra Platon, Antoine Geissbühler, Pierre-Alexandre Poletti, Henning Müller
2009	—	`conf`	An Easy Setup for Parallel Medical Image Processing: Using Taverna and ARC. HealthGrid Xin Zhou, Hajo N. Krabbenhöft, Marko Niinimäki, Adrien Depeursinge, Steffen Möller, Henning Müller
2009	—	`conf`	Towards an Automated Nosocomial Infection Case Reporting - Framework to Build a Computer-aided Detection of Nosocomial Infection. HEALTHINF Jimison Iavindrasana, Gilles Cohen, Adrien Depeursinge, Henning Müller, Rodolphe Meyer, Antoine Geissbühler
2008	J	`jnl`	Hierarchical classification using a frequency-based weighting and simple visual features. Pattern Recognit. Lett. Xin Zhou, Adrien Depeursinge, Henning Müller
2008	B	`conf`	Lung Tissue Classification in HRCT Data Integrating the Clinical Context. CBMS Adrien Depeursinge, Jimison Iavindrasana, Gilles Cohen, Alexandra Platon, Pierre-Alexandre Poletti, Henning Müller
2007	—	`conf`	Design of a Decentralized Reusable Research Database Architecture to Support Data Acquisition in Large Research Projects. MedInfo Jimison Iavindrasana, Adrien Depeursinge, Patrick Ruch, Stéphane Spahni, Antoine Geissbühler, Henning Müller
2007	—	`conf`	Image-based diagnostic aid for interstitial lung disease with secondary data integration. Computer-Aided Diagnosis Adrien Depeursinge, Henning Müller, Asmâa Hidki, Pierre-Alexandre Poletti, Alexandra Platon, Antoine Geissbühler
2007	—	`conf`	KnowARC: Enabling Grid networks for the biomedical research community. HealthGrid Henning Müller, Mikko Juhani Pitkänen, Xin Zhou, Adrien Depeursinge, Jimison Iavindrasana, Antoine Geissbühler
2007	—	`conf`	Learning a Frequency-Based Weighting for Medical Image Classification. MIMI Tobias Gass, Adrien Depeursinge, Antoine Geissbühler, Henning Müller
2007	A	`conf`	Medical Visual Information Retrieval: State of the Art and Challenges Ahead. ICME Henning Müller, Xin Zhou, Adrien Depeursinge, Mikko Juhani Pitkänen, Jimison Iavindrasana, Antoine Geissbühler
2006	—	`conf`	Automated Object Extraction for Medical Image Retrieval Using the Insight Toolkit (ITK). AIRS Henning Müller, Joris Heuberger, Adrien Depeursinge, Antoine Geissbühler