Topic: SNSF MAGE - HES SO Valais Publications

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 Vallières, 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

Julien Fageot, Virginie Uhlmann, Adrien Depeursinge, Zsuzsanna Püspöki, Daniel Sage and Michael Unser, Radial B-Splines for Optimal Detection in Images, in: ISBI Special Session on Spline Models in Biomedical Imaging, 2019

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

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Vincent Andrearczyk, Adrien Depeursinge and Henning Müller, Learning Cross-Protocol Radiomics and Deep Feature Standardization from CT Images of Texture Phantoms, in: SPIE Medical Imaging 2019, International Society for Optics and Photonics, pages 109-116, SPIE, 2019

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

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Adrien Depeursinge, Julien Fageot, Vincent Andrearczyk, John-Paul Ward and Michael Unser, Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features, in: Machine Learning in Medical Imaging (MLMI), pages 107--115, Springer International Publishing, 2018

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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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Vincent Andrearczyk, Adrien Depeursinge and Henning Müller, Neural Network Training for Cross-Protocol Radiomic Feature Standardization in Computed Tomography (2019), in: Journal of Medical Imaging, 6:3(024008)

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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

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

Anaïs Badoual, Michael Unser and 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/

Pierre Starkov, Todd A. Aguilera, Daniel Golden, David B. Shultz, Nicholas Trakul, Peter G. Maxim, Quynh-Thu Le, Billy W. Loo Jr., Maximilian Diehn, Adrien Depeursinge and Daniel L. Rubin, The Use of Texture Based Radiomics CT Analysis to Predict Outcomes in Early-Stage Non-Small Cell Lung Cancer Treated with Stereotactic Ablative Radiotherapy (2018), in: The British Journal of Radiology, 92:1094(20180228)

[]: IF 2016 = 2.05

Julien Fageot, Virginie Uhlmann, Zsuzsanna Püspöki, Benjamin Beck, Michael Unser and 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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Adrien Depeursinge, Multi-Scale and Multi-Directional Biomedical Texture Analysis: Finding the Needle in the Haystack, in: Biomedical Texture Analysis: Fundamentals, Applications and Tools, pages 29-53, Elsevier, 2017

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Adrien Depeursinge, Julien Fageot and Omar S. Al-Kadi, Fundamentals of Texture Processing for Biomedical Image Analysis: A General Definition and Problem Formulation, in: Biomedical Texture Analysis: Fundamentals, Applications and Tools, pages 1-27, Elsevier, 2017

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Ranveer Joyseeree, Henning Müller and 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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Yashin Dicente Cid, Joel Castelli, Roger Schaer, Nathaniel Scher, Anastasia Pomoni, John O. Prior and Adrien Depeursinge, QuantImage: An Online Tool for High-Throughput 3D Radiomics Feature Extraction in PET-CT, in: Biomedical Texture Analysis: Fundamentals, Applications and Tools, pages 349-377, Elsevier, 2017

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Adrien Depeursinge, Omar S. Al-Kadi and J Ross Mitchell, Biomedical Texture Analysis: Fundamentals, Applications and Tools, Elsevier, Elsevier-MICCAI Society Book series, 2017

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Joel Castelli, Adrien Depeursinge, B. De Bari, Anne Devillers, R. De Crevoisier, J. Bourhis and 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

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 and J. Bourhis, A PET-based nomogram for oropharyngeal cancers (2017), in: European Journal of Cancer, 75(222-230)

[]: IF 2015 = 6.16

Yashin Dicente Cid, Henning Müller, Alexandra Platon, Jean-Paul Janssens, Lador Frédéric, Pierre-Alexandre Poletti and Adrien Depeursinge, A Lung Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT images, in: MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data, pages 58-68, 2016

Omar S. Al-Kadi, Dimitri Van De Ville and Adrien Depeursinge, Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment, in: Medical Image Computing and Computer-Assisted Interventions (MICCAI), pages 619--626, Springer International Publishing, 2016

Pol Cirujeda, Yashin Dicente Cid, Henning Müller, Daniel L. Rubin, Todd A. Aguilera, Billy W. Loo Jr., Maximilian Diehn, Xavier Binefa and 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, Tunde Szilágyi, Yan Liu, Kazmer Kovacs, Reena Thomas, Kristen Yeom, Nancy Fischbein, Daniel L. Rubin, Michael Iv and Olivier Gevaert, Locoregional radiogenomic models to capture gene expression heterogeneity in glioblastoma (2018), in: biorXiv

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Yashin Dicente Cid, Henning Müller, Alexandra Platon, Pierre-Alexandre Poletti and 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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Anamaria Vizitiu, Lucian Itu, Ranveer Joyseeree, Adrien Depeursinge, Henning Müller and Constantin Suciu, GPU-Accelerated Texture Analysis Using Steerable Riesz Wavelets, in: 24th IEEE Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, Heraklion Crete, Greece, pages 431--434, 2016

Adrien Depeursinge, Zsuzsanna Püspöki, John-Paul Ward and 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.

Roger Schaer, Henning Müller and Adrien Depeursinge, Optimized Distributed Hyperparameter Search and Simulation for Lung Texture Classification in CT Using Hadoop (2016), in: Journal of Imaging, 2:2(19)

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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

Pol Cirujeda, Henning Müller, Daniel L. Rubin, Todd A. Aguilera, Billy W. Loo Jr., Maximilian Diehn, Xavier Binefa and Adrien Depeursinge, 3D Riesz–wavelet based Covariance descriptors for texture classification of lung nodule tissue in CT, in: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 7909-7912, 2015

Sebastian Otalora, Angel Cruz Roa, John Arevalo, Manfredo Atzori, Anant Madabhushi, Alexander Judkins, Fabio González, Henning Müller and Adrien Depeursinge, Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, pages 581-588, Springer International Publishing, 2015

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Adrien Depeursinge, Pedram Pad, Anne C. Chin, Ann N. Leung, Daniel L. Rubin, Henning Müller and Michael Unser, Optimized steerable wavelets for texture analysis of lung tissue in 3-D CT: classification of usual interstitial pneumonia, in: IEEE 12th International Symposium on Biomedical Imaging (ISBI), New York, NY, USA, pages 403-406, IEEE, 2015

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Adrien Depeursinge, Anne C. Chin, Ann N. Leung, Donato Terrone, Michael Bristow, Glenn Rosen and 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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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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