Using filter banks in Convolutional Neural Networks for texture classification. - Vincent Andrearczyk; Paul F. Whelan (Pattern Recognit. Lett., 2016)

Texture segmentation with Fully Convolutional Networks. - Vincent Andrearczyk; Paul F. Whelan (CoRR, 2017)

Deep Multimodal Classification of Image Types in Biomedical Journal Figures. - Vincent Andrearczyk; Henning Müller (CLEF, 2018)

Overview of the ImageCLEF 2018 Caption Prediction Tasks. - Alba Garcia Seco de Herrera; Carsten Eickhoff; Vincent Andrearczyk; Henning Müller (CLEF (Working Notes), 2018)

Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation. - Bogdan Ionescu; Henning Müller; Mauricio Villegas; Alba Garcia Seco de Herrera; Carsten Eickhoff; Vincent Andrearczyk; Yashin Dicente Cid; Vitali Liauchuk; Vassili Kovalev; Sadid A. Hasan; Yuan Ling; Oladimeji Farri; et al. (CLEF, 2018)

Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features. - Adrien Depeursinge; Julien Fageot; Vincent Andrearczyk; John Paul Ward; Michael Unser (MLMI@MICCAI, 2018)

Regression Concept Vectors for Bidirectional Explanations in Histopathology. - Mara Graziani; Vincent Andrearczyk; Henning Müller (MLCN/DLF/iMIMIC@MICCAI, 2018)

Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content. - Sebastian Otálora; Manfredo Atzori; Vincent Andrearczyk; Henning Müller (COMPAY/OMIA@MICCAI, 2018)

Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation. - Oscar J. Perdomo; Vincent Andrearczyk; Fabrice Mériaudeau; Henning Müller; Fabio A. González 001 (COMPAY/OMIA@MICCAI, 2018)

Rotational 3D Texture Classification Using Group Equivariant CNNs. - Vincent Andrearczyk; Adrien Depeursinge (CoRR, 2018)

Convolutional neural network on three orthogonal planes for dynamic texture classification. - Vincent Andrearczyk; Paul F. Whelan (Pattern Recognit., 2018)

Interpreting Intentionally Flawed Models with Linear Probes. - Mara Graziani; Henning Müller; Vincent Andrearczyk (ICCV Workshops, 2019)

Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. - Mara Graziani; James M. Brown 001; Vincent Andrearczyk; Veysi Yildiz; J. Peter Campbell; Deniz Erdogmus; Stratis Ioannidis; Michael F. Chiang; Jayashree Kalpathy-Cramer; Henning Müller (Computer-Aided Diagnosis, 2019)

Exploring local rotation invariance in 3D CNNs with steerable filters. - Vincent Andrearczyk; Julien Fageot; Valentin Oreiller; Xavier Montet; Adrien Depeursinge (MIDL, 2019)

Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading. - Marek Wodzinski; Tommaso Banzato; Manfredo Atzori; Vincent Andrearczyk; Yashin Dicente Cid; Henning Müller (EMBC, 2020)

Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT. - Vincent Andrearczyk; Valentin Oreiller; Mario Jreige; Martin Vallières; Joël Castelli; Hesham Elhalawani; Sarah Boughdad; John O. Prior; Adrien Depeursinge (HECKTOR@MICCAI, 2020)

Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging. - Mara Graziani; Thomas Lompech; Henning Müller; Adrien Depeursinge; Vincent Andrearczyk (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans. - Vincent Andrearczyk; Valentin Oreiller; Martin Vallières; Joël Castelli; Hesham Elhalawani; Mario Jreige; Sarah Boughdad; John O. Prior; Adrien Depeursinge (MIDL, 2020)

Generalizing convolution neural networks on stain color heterogeneous data for computational pathology. - Amjad Khan 002; Manfredo Atzori; Sebastian Otálora; Vincent Andrearczyk; Henning Müller (Digital Pathology, 2020)

Systematic comparison of deep learning strategies for weakly supervised Gleason grading. - Sebastian Otálora; Manfredo Atzori; Amjad Khan 002; Oscar Alfonso Jiménez del Toro; Vincent Andrearczyk; Henning Müller (Digital Pathology, 2020)

An exploration of uncertainty information for segmentation quality assessment. - Katharina Hoebel; Vincent Andrearczyk; Andrew Beers; Jay B. Patel; Ken Chang; Adrien Depeursinge; Henning Müller; Jayashree Kalpathy-Cramer (Image Processing, 2020)

Studying Public Medical Images from the Open Access Literature and Social Networks for Model Training and Knowledge Extraction. - Henning Müller; Vincent Andrearczyk; Oscar Alfonso Jiménez del Toro; Anjani Dhrangadhariya; Roger Schaer; Manfredo Atzori (MMM (2), 2020)

Breast Histopathology with High-Performance Computing and Deep Learning. - Mara Graziani; Ivan Eggel; François Deligand; Martin Bobák 001; Vincent Andrearczyk; Henning Müller (Comput. Informatics, 2020)

Concept attribution: Explaining CNN decisions to physicians. - Mara Graziani; Vincent Andrearczyk; Stéphane Marchand-Maillet; Henning Müller (Comput. Biol. Medicine, 2020)

3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis. - Valentin Oreiller; Vincent Andrearczyk; Julien Fageot; John O. Prior; Adrien Depeursinge (CoRR, 2020)

Standardised convolutional filtering for radiomics. - Adrien Depeursinge; Vincent Andrearczyk; Philip Whybra; Joost van Griethuysen; Henning Müller; Roger Schaer; Martin Vallières; Alex Zwanenburg (CoRR, 2020)

Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning. - Mara Graziani; Sebastian Otálora; Henning Müller; Vincent Andrearczyk (CoRR, 2020)

Local rotation invariance in 3D CNNs. - Vincent Andrearczyk; Julien Fageot; Valentin Oreiller; Xavier Montet; Adrien Depeursinge (Medical Image Anal., 2020)

Code for "Fast Rotational Sparse Coding". - Michael T. McCann; Vincent Andrearczyk; Michael Unser; Adrien Depeursinge (Zenodo, 2020)

Comparison of MR Preprocessing Strategies and Sequences for Radiomics-Based MGMT Prediction. - Daniel Abler; Vincent Andrearczyk; Valentin Oreiller; Javier Barranco Garcia; Diem Vuong; Stephanie Tanadini-Lang; Matthias Guckenberger; Mauricio Reyes 001; Adrien Depeursinge (BrainLes@MICCAI (2), 2021)

Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer. - Vincent Andrearczyk; Pierre Fontaine; Valentin Oreiller; Joël Castelli; Mario Jreige; John O. Prior; Adrien Depeursinge (PRIME@MICCAI, 2021)

Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images. - 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 (HECKTOR@MICCAI, 2021)

Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT. - Pierre Fontaine; Vincent Andrearczyk; Valentin Oreiller; Joël Castelli; Mario Jreige; John O. Prior; Adrien Depeursinge (ML-CDS@MICCAI, 2021)

Sharpening Local Interpretable Model-Agnostic Explanations for Histopathology: Improved Understandability and Reliability. - Mara Graziani; Iam Palatnik de Sousa; Marley M. B. R. Vellasco; Eduardo Costa da Silva; Henning Müller; Vincent Andrearczyk (MICCAI (3), 2021)

On the Scale Invariance in State of the Art CNNs Trained on ImageNet. - Mara Graziani; Thomas Lompech; Henning Müller; Adrien Depeursinge; Vincent Andrearczyk (Mach. Learn. Knowl. Extr., 2021)

Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CT. - Vincent Andrearczyk; Valentin Oreiller; Mario Jreige; Joël Castelli; John O. Prior; Adrien Depeursinge (EMBC, 2022)

Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. - Vincent Andrearczyk; Valentin Oreiller; Moamen Abobakr; Azadeh Akhavanallaf; Panagiotis Balermpas; Sarah Boughdad; Leo Capriotti; Joël Castelli; Catherine Cheze Le Rest; Pierre Decazes; Ricardo Correia 006; Dina El-Habashy; et al. (HECKTOR@MICCAI, 2022)

Robust Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net. - Valentin Oreiller; Julien Fageot; Vincent Andrearczyk; John O. Prior; Adrien Depeursinge (MIDL, 2022)

Biomedical image analysis competitions: The state of current participation practice. - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Patrick Godau; Veronika Cheplygina; Michal Kozubek 001; Sharib Ali; Anubha Gupta; Jan Kybic; et al. (CoRR, 2022)

Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. - Valentin Oreiller; Vincent Andrearczyk; Mario Jreige; Sarah Boughdad; Hesham Elhalawani; Joël Castelli; Martin Vallières; Simeng Zhu; Juanying Xie; Ying Peng; Andrei Iantsen; Mathieu Hatt; et al. (Medical Image Anal., 2022)

Why is the Winner the Best? - 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; et al. (CVPR, 2023)

Disentangling Neuron Representations with Concept Vectors. - Laura O'Mahony; Vincent Andrearczyk; Henning Müller; Mara Graziani (CVPR Workshops, 2023)

Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer Classification. - Victor Contreras; Andrea Bagante; Niccolò Marini; Michael Schumacher 001; Vincent Andrearczyk; Davide Calvaresi (EXTRAAMAS, 2023)

Why is the winner the best? - 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; et al. (CoRR, 2023)

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Gijs Luijten; Yuan Jin; Narmada Ambigapathy; Enrico Nasca; Naida Solak; Gian Marco Melito; Afaque R. Memon; Xiaojun Chen 003; Jan Stefan Kirschke; et al. (CoRR, 2023)

Uncovering Unique Concept Vectors through Latent Space Decomposition. - Mara Graziani; Laura O'Mahony; An-Phi Nguyen; Henning Müller; Vincent Andrearczyk (Trans. Mach. Learn. Res., 2023)

A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences. - 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; et al. (Artif. Intell. Rev., 2023)

Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge. - 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 (Medical Image Anal., 2023)

A Bispectral 3D U-Net for Rotation Robustness in Medical Segmentation. - Arthur Chevalley; Valentin Oreiller; Julien Fageot; John O. Prior; Vincent Andrearczyk; Adrien Depeursinge (TGI3@MICCAI, 2024)

Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI. - Federico Spagnolo; Nataliia Molchanova; Mario Ocampo-Pineda; Lester Melie-García; Meritxell Bach Cuadra; Cristina Granziera; Vincent Andrearczyk; Adrien Depeursinge (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation. - Kudaibergen Abutalip; Numan Saeed; Ikboljon Sobirov; Vincent Andrearczyk; Adrien Depeursinge; Mohammad Yaqub (CoRR, 2024)

Instance-level quantitative saliency in multiple sclerosis lesion segmentation. - Federico Spagnolo; Nataliia Molchanova; Roger Schaer; Meritxell Bach Cuadra; Mario Ocampo-Pineda; Lester Melie-García; Cristina Granziera; Vincent Andrearczyk; Adrien Depeursinge (CoRR, 2024)

A Multi-Centric Anthropomorphic 3D CT Phantom-Based Benchmark Dataset for Harmonization. - 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; et al. (CoRR, 2025)