Adrien Depeursinge - HES SO Valais Publications

Numan Saeed, Salma Hassan, Shahad Hardan, Ahmed Aly, Darya Taratynova, Umair Nawaz, Ufaq Khan, Muhammad Ridzuan, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Yutong Xie, Thomas Eugene, Raphä El Metz, M ´ Elanie Dore, Gregory Delpon, Vijay Ram, Kumar Papineni, Kareem Wahid, Cem Dede, Alaa Mohamed, Shawky Ali, Carlos Sjogreen, Mohamed 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 Vallìères, Hesham Elhalawani, Ronan Abgral, Romain Floch, Kevin Kerleguer, Ulrike Schick, Maelle Mauguen, Arman Rahmim und Mohammad Yakub, A Multimodal and Multi-centric Head and Neck Cancer Dataset for Tumor Segmentation and Outcome Prediction (2025)

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Michael T. McCann, Vincent Andrearczyk, Michael Unser und Adrien Depeursinge, Fast Rotational Sparse Coding (2018)(arXiv:1806.04374)

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Adrien Depeursinge, Daniel Racoceanu, Jimison Iavindrasana, Gilles Cohen, Alexandra Platon, Pierre-Alexandre Poletti und Henning Müller, Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography (2010), in: Artificial Intelligence in Medicine, 50:1(13--21)

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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)

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, 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 Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne Martel, Carlos Martín-Isla, Bjoern Menze, Chinedu Innocent Nwoye, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Carole H Sudre, Kimberlin van Wijnen, Armine Vardazaryan, Tom Vercauteren, Martin Wagner, Chuanbo Wang, Moi Hoon Yap, Zeyun Yu, Chun Yuan, Maximilian Zenk, Aneeq Zia, David Zimmerer, Rina Bao, Chanyeol Choi, Andrew Cohen, Oleh Dzyubachyk, Adrian Galdran, Tianyuan Gan, Tianqi Guo, Pradyumna Gupta, Mahmood Haithami, Edward Ho, Ikbeom Jang, Zhili Li, Zhengbo Luo, Filip Lux, Sokratis Makrogiannis, Dominik Müller, Young-tack Oh, Subeen Pang, Constantin Pape, Gorkem Polat, Charlotte Rosalie Reed, Kanghyun Ryu, Tim Scherr, Vajira Thambawita, Haoyu Wang, Xinliang Wang, Kele Xu, Hung Yeh, Doyeob Yeo, Yixuan Yuan, Yan Zeng, Xin Zhao, Julian Abbing, Jannes Adam, Nagesh Adluru, Niklas Agethen, Salman Ahmed, Yasmina Al Khalil, Mireia Alenyà, Esa Alhoniemi, Chengyang An, Talha Anwar, Tewodros Weldebirhan Arega, Netanell Avisdris, Dogu Baran Aydogan, Yingbin Bai, Maria Baldeon Calisto, Berke Doga Basaran, Marcel Beetz, Cheng Bian, Hao Bian, Kevin Blansit, Louise Bloch, Robert Bohnsack, Sara Bosticardo, Jack Breen, Mikael Brudfors, Raphael Brüngel, Mariano Cabezas, Alberto Cacciola, Zhiwei Chen, Yucong Chen, Daniel Tianming Chen, Minjeong Cho, Min-Kook Choi, Chuantao Xie Chuantao Xie, Dana Cobzas, Julien Cohen-Adad, Jorge Corral Acero, Sujit Kumar Das, Marcela de Oliveira, Hanqiu Deng, Guiming Dong, Lars Doorenbos, Cory Efird, Di Fan, Mehdi Fatan Serj, Alexandre Fenneteau, Lucas Fidon, Patryk Filipiak, René Finzel, Nuno R. Freitas, Christoph M. Friedrich, Mitchell Fulton, Finn Gaida, Francesco Galati, Christoforos Galazis, Chang Hee Gan, Zheyao Gao, Shengbo Gao, Matej Gazda, Beerend Gerats, Neil Getty, Adam Gibicar, Ryan Gifford, Sajan Gohil, Maria Grammatikopoulou, Daniel Grzech, Orhun Güley, Timo Günnemann, Chunxu Guo, Sylvain Guy, Heonjin Ha, Luyi Han, Il Song Han, Ali Hatamizadeh, Tian He, Jimin Heo, Sebastian Hitziger, SeulGi Hong, SeungBum Hong, Rian Huang, Ziyan Huang, Markus Huellebrand, Stephan Huschauer, Mustaffa Hussain, Tomoo Inubushi, Ece Isik Polat, Mojtaba Jafaritadi, SeongHun Jeong, Bailiang Jian, Yuanhong Jiang, Zhifan Jiang, Yueming Jin, Smriti Joshi, Abdolrahim Kadkhodamohammadi, Reda Abdellah Kamraoui, Inha Kang, Junghwa Kang, Davood Karimi, April Khademi, Muhammad Irfan Khan, Suleiman A. Khan, Rishab Khantwal, Kwang-Ju Kim, Timothy Kline, Satoshi Kondo, Elina Kontio, Adrian Krenzer, Artem Kroviakov, Hugo Kuijf, Satyadwyoom Kumar, Francesco La Rosa, Abhi Lad, Doohee Lee, Minho Lee, Chiara Lena, Hao Li, Ling Li, Xingyu Li, Fuyuan Liao, KuanLun Liao, Arlindo Limede Oliveira, Chaonan Lin, Shan Lin, Akis Linardos, Marius George Linguraru, Han Liu, Tao Liu, Di Liu, Yanling Liu, João Lourenço-Silva, Jingpei Lu, Jiangshan Lu, Imanol Luengo, Christina B. Lund, Huan Minh Luu und Yi Lv, Biomedical image analysis competitions: The state of current participation practice (2022), in: arXiv

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Vincent Andrearczyk und Adrien Depeursinge, Rotational 3D Texture Classification Using Group Equivariant CNNs (2018), in: ArXiv

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Antonio Foncubierta-Rodríguez, Henning Müller und Adrien Depeursinge, Visual Grammar: a language modelling approach for building efficient and meaningful bags of visual words (2017), in: ArXiv(1835004)

Dimitrios Markonis, Roger Schaer, Ivan Eggel, Henning Müller und Adrien Depeursinge, Using MapReduce for Large-scale Medical Image Analysis (2015), in: arXiv:1510.06937

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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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Adrien Depeursinge, Tunde Szilágyi, Yan Liu, Kazmer Kovacs, Reena Thomas, Kristen Yeom, Nancy Fischbein, Daniel L. Rubin, Michael Iv und Olivier Gevaert, Locoregional radiogenomic models to capture gene expression heterogeneity in glioblastoma (2018), in: biorXiv

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Nathaniel Scher, Joel Castelli, Adrien Depeursinge, J. Bourhis, John O. Prior, Fernanda Herrera und Esat Ozsahin, (18F)-FDG PET/CT parameters to predict survival and recurrence in patients with locally advanced cervical cancer treated with chemoradiotherapy (2018), in: Cancer / Radiothérapie, 22:3(229-235)

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Lorenzo Lo Faro, Hubert S Gabryś, Simon Burgermeister, Daniel Abler, Maksym Fristak, Maiwand Ahmadsei, Ciro Franzese, Adrien Depeursinge, Michel Cuendet, Stephanie Tanadini-Lang, Panagiotis Balermpas, Marta Scorsetti, Matthias Guckenberger und Sebastian M. Christ, Deep learning [18F]-FDG-PET/CT‑based algorithm for tumor burden estimation in metastatic melanoma patients under immunotherapy (2025), in: Clinical and Translational Radiation Oncology

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

Joel Castelli, Adrien Depeursinge, B. De Bari, Anne Devillers, R. De Crevoisier, J. Bourhis und John O. Prior, Metabolic Tumor Volume and Total Lesion Glycolysis in Oropharyngeal Cancer treated with definitive radiotherapy: Which threshold is the best predictor of local control ? (2017), in: Clinical Nuclear Medicine, 42:6(e281–e285)

[]: IF 2015 = 4.27

Anaïs Badoual, Michael Unser und Adrien Depeursinge, Texture-Driven Parametric Snakes for Semi-Automatic Image Segmentation (2019), in: Computer Vision and Image Understanding, 188(102793)

[]: IF 2018 = 2.645
[]: Icy plugin and source code: https://bigwww.epfl.ch/demo/texture-snake/

Ranveer Joyseeree, Henning Müller und Adrien Depeursinge, Rotation-Covariant Tissue Analysis for Interstitial Lung Diseases Using Learned Steerable Filters: Performance Evaluation and Relevance for Diagnostic Aid (2018), in: Computerized Medical Imaging and Graphics, 64(1-11)

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Adrien Depeursinge, Alejandro Vargas, Alexandra Platon, Antoine Geissbuhler, Pierre-Alexandre Poletti und Henning Müller, Building a Reference Multimedia Database for Interstitial Lung Diseases (2012), in: Computerized Medical Imaging and Graphics, 36:3(227-238)

[]: Impact Factor=1.041

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Nataliia Molchanova, Raina Vatsal, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark Gales, Cristina Granziera, Henning Müller, Mara Graziani und Meritxell Bach Cuadra, Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation (2025), in: Computers in Biology and Medicine

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Joel Castelli, B. De Bari, Adrien Depeursinge, A. Simon, A. Devilliers, G. Roman Jimenez, John O. Prior, R. De Crevoisier und J. Bourhis, Overview of the predictive value of quantitative 18 FDG PET in head and neck cancer treated with chemoradiotherapy (2016), in: Critical Reviews in Oncology/Hematology, 108(40-51)

[]: IF 2015 = 5.039

Joel Castelli, Adrien Depeursinge, Vanessa Ndoh, John O. Prior, Esat Ozsahin, Anne Devillers, Hanan Bouchaab, Enrique Chajon, R. De Crevoisier, Nathaniel Scher, Franck Jegoux, B. Laguerre, B. De Bari und J. Bourhis, A PET-based nomogram for oropharyngeal cancers (2017), in: European Journal of Cancer, 75(222-230)

[]: IF 2015 = 6.16

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

George Kurian, Paolo Salvioni Chiabotti, Caroline Hall, Noemie Lejay, Jérémy Perriraz, Olivier Rouaud, Adrien Depeursinge, Marie Nicod Lalonde, Niklaus Schaefer, Gilles Allali, John O. Prior und Mario Jreige, Contribution of Quantitative I-123-ioflupane SPECT/CT to the Differential Diagnosis of Dementia with Lewy Bodies (2025), in: European Journal of Nuclear Medicine and Molecular Imaging

Daphné Faist, Silvano Gnesin, Siria Medici, Alysée Khan, Marie Nicod Lalonde, Niklaus Schaefer, Adrien Depeursinge, Maurizio Conti, Joshua Schaefferkoetter, John O. Prior und Mario Jreige, Lung lesion detectability on images obtained from decimated and CNN-based denoised [18F]-FDG PET/CT scan: An observer-based study for lung-cancer screening (2025), in: European Journal of Nuclear Medicine and Molecular Imaging

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Joel Castelli, Adrien Depeursinge, Anne Devillers, B. Campillo-Gimenez, Yashin Dicente Cid, John O. Prior, Enrique Chajon, Franck Jegoux, C. Sire, Oscar Acosta, X. Sun, B. De Bari, J. Bourhis und R. De Crevoisier, PET-based predictive survival model after radiotherapy for head and neck cancer (2019), in: European Journal of Nuclear Medicine and Molecular Imaging, 46:3(638-649)

[]: IF 2016 = 7.277

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Caterina Tartari, Fabio Porões, Sabine Schmidt, Daniel Abler, Thomas Vetterli, Adrien Depeursinge, Clarisse Dromain und Naïk Vietti Violi, MRI and CT radiomics for the diagnosis of acute pancreatitis (2025), in: European Journal of Radiology Open, 14

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

Roberto Gatta, Adrien Depeursinge, Osman Ratib, Olivier Michielin und Antoine Leimgruber, Integrating radiomics into holomics for personalised oncology: from algorithms to bedside (2020), in: European Radiology Experimental, 4(11)

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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Julien Fageot, Virginie Uhlmann, Zsuzsanna Püspöki, Benjamin Beck, Michael Unser und Adrien Depeursinge, Principled Design and Implementation of Steerable Detectors (2021), in: IEEE Transactions on Image Processing, 30(4465-4478)

[]: IF 2020 = 9.34
[]: Demo page: http://bigwww.epfl.ch/algorithms/steer_n_detect/
[]: Source code: https://github.com/Biomedical-Imaging-Group/Steer-n-Detect

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Yashin Dicente Cid, Henning Müller, Alexandra Platon, Pierre-Alexandre Poletti und Adrien Depeursinge, 3-D Solid Texture Classification Using Locally-Oriented Wavelet Transforms (2017), in: IEEE Transactions on Image Processing, 26:4(1899-1910)

[]: IF 2015 = 3.735
[]: Matlab code available! click on this entry to download the library.

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Adrien Depeursinge, Zsuzsanna Püspöki, John-Paul Ward und Michael Unser, Steerable Wavelet Machines (SWM): Learning Moving Frames for Texture Classification (2017), in: IEEE Transactions on Image Processing, 26:4(1626-1636)

[]: IF 2015 = 3.735
[]: Matlab code available! click on this entry to download the library.

Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Dimitri Van De Ville und Henning Müller, Rotation–covariant texture learning using steerable Riesz wavelets (2014), in: IEEE Transactions on Image Processing, 23:2(898-908)

[]: Impact Factor=3.199
[]: Matlab code available! click on this entry to download the library.

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Adrien Depeursinge, Samuel Duc, Ivan Eggel und Henning Müller, Mobile Medical Visual Information Retrieval (2012), in: IEEE Transactions on Information Technology in BioMedicine, 16:1(53-61)

[]: Impact Factor=1.69

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Adrien Depeursinge, Dimitri Van De Ville, Alexandra Platon, Antoine Geissbuhler, Pierre-Alexandre Poletti und Henning Müller, Near–Affine–Invariant Texture Learning for Lung Tissue Analysis Using Isotropic Wavelet Frames (2012), in: IEEE Transactions on Information Technology in BioMedicine, 16:4(665-675)

[]: Impact Factor=1.69

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Pol Cirujeda, Yashin Dicente Cid, Henning Müller, Daniel L. Rubin, Todd A. Aguilera, Billy W. Loo Jr., Maximilian Diehn, Xavier Binefa und Adrien Depeursinge, A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CT (2016), in: IEEE Transactions on Medical Imaging, 35:12(2620-2630)

[]: IF 2015 = 3.76
[]: video presentation of the paper: https://portal.klewel.com/watch/webcast/valaiswallis-ai-workshop-reproducibility-in-research/talk/9

Adrien Depeursinge, Camille Kurtz, Christopher F. Beaulieu, Sandy Napel und Daniel L. Rubin, Predicting Visual Semantic Descriptive Terms from Radiological Image Data: Preliminary Results with Liver Lesions in CT (2014), in: IEEE Transactions on Medical Imaging, 33:8(1-8)

[]: Impact Factor=4.027

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Henning Müller, Antonio Foncubierta-Rodríguez und Adrien Depeursinge, Sensors, Medical Images and Signal Processing: Ubiquitous Personalized Health Monitoring (2012), in: IMIA Yearbook of Medical Informatics, 7:1(100-103)

[]: Impact Factor 2011=1,532

Adrien Depeursinge und Henning Müller, Sensors, Medical Images and Signal Processing: The Growth of Clinicians’ Expectations (2011), in: IMIA Yearbook of Medical Informatics, 6:1(92--95)

Adrien Depeursinge und Henning Müller, Sensors, Medical Images and Signal Processing: Comprehensive Multi--modal Diagnosis Aid Frameworks (2010), in: IMIA Yearbook of Medical Informatics, 5:1(43--46)

[]: Impact Factor: 1.057 (2008)

Adrien Depeursinge und Henning Müller, Sensors, Medical Images and Signal Processing: Exploring Multi--Dimensional Medical Data (2009), in: IMIA Yearbook of Medical Informatics, 4:1(81-83)

[]: Impact Factor: 1.057 (2008)

Vincent Andrearczyk, Valentin Oreiller und Adrien Depeursinge, Wide kernels and their DCT compression in convolutional networks for nuclei segmentation (2023), in: Informatics in Medicine Unlocked, 43(101403)

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Adrien Depeursinge, Alejandro Vargas, Frédéric Gaillard, Alexandra Platon, Antoine Geissbuhler, Pierre-Alexandre Poletti und Henning Müller, Case-based lung image categorization and retrieval for interstitial lung diseases: clinical workflows (2012), in: International Journal of Computer Assisted Radiology and Surgery, 7:1(97-110)

[]: Impacr Factor 2011: 1.481

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Manel Lopez-Melia, Virginie Magnin, Sami Schranz, Vincent Andrearczyk, Adrien Depeursinge, Stéphane Marchand-Maillet und Silke Grabherr, Automatic rib fracture detection on postmortem CT data using deep learning (2025), in: International Journal of Legal Medicine

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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

Adrien Depeursinge, Anne C. Chin, Ann N. Leung, Donato Terrone, Michael Bristow, Glenn Rosen und Daniel L. Rubin, Automated Classification of Usual Interstitial Pneumonia using Regional Volumetric Texture Analysis in High-Resolution CT (2015), in: Investigative Radiology, 50:4(261-267)

[]: Impact Factor=4.453

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Gwenaelle Creff, Anne Devillers, Adrien Depeursinge, Xavier Palard-Novello, Oscar Acosta, Franck Jegoux und Joel Castelli, Evaluation of the Prognostic Value of FDG PET/CT Parameters for Patients with Surgically Treated Head and Neck Cancer: A Systematic Review (2020), in: JAMA Otolaryngology - Head and Neck Surgery, 146:5(471-479)

[]: IF 2019 = 3.295

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Asmâa Hidki, Adrien Depeursinge, Jimison Iavindrasana, Mikko Juhani Pitkanen, Xin Zhou und Henning Müller, The medGIFT project: perspective of a medical doctor (2007), in: Japanese Journal of Medical Imaging Technology, 25:5(356-361)