Automated Object Extraction for Medical Image Retrieval Using the Insight Toolkit (ITK). - Henning Müller; Joris Heuberger; Adrien Depeursinge; Antoine Geissbühler (AIRS, 2006)

KnowARC: Enabling Grid networks for the biomedical research community. - Henning Müller; Mikko Juhani Pitkänen; Xin Zhou 002; Adrien Depeursinge; Jimison Iavindrasana; Antoine Geissbühler (HealthGrid, 2007)

Medical Visual Information Retrieval: State of the Art and Challenges Ahead. - Henning Müller; Xin Zhou 002; Adrien Depeursinge; Mikko Juhani Pitkänen; Jimison Iavindrasana; Antoine Geissbühler (ICME, 2007)

Design of a Decentralized Reusable Research Database Architecture to Support Data Acquisition in Large Research Projects. - Jimison Iavindrasana; Adrien Depeursinge; Patrick Ruch; Stéphane Spahni; Antoine Geissbühler; Henning Müller (MedInfo, 2007)

Image-based diagnostic aid for interstitial lung disease with secondary data integration. - Adrien Depeursinge; Henning Müller; Asmâa Hidki; Pierre-Alexandre Poletti; Alexandra Platon; Antoine Geissbühler (Computer-Aided Diagnosis, 2007)

Learning a Frequency-Based Weighting for Medical Image Classification. - Tobias Gass; Adrien Depeursinge; Antoine Geissbühler; Henning Müller (MIMI, 2007)

Lung Tissue Classification in HRCT Data Integrating the Clinical Context. - Adrien Depeursinge; Jimison Iavindrasana; Gilles Cohen; Alexandra Platon; Pierre-Alexandre Poletti; Henning Müller (CBMS, 2008)

Hierarchical classification using a frequency-based weighting and simple visual features. - Xin Zhou 002; Adrien Depeursinge; Henning Müller (Pattern Recognit. Lett., 2008)

Towards an Automated Nosocomial Infection Case Reporting - Framework to Build a Computer-aided Detection of Nosocomial Infection. - Jimison Iavindrasana; Gilles Cohen; Adrien Depeursinge; Henning Müller; Rodolphe Meyer; Antoine Geissbühler (HEALTHINF, 2009)

An Easy Setup for Parallel Medical Image Processing: Using Taverna and ARC. - Xin Zhou 002; Hajo N. Krabbenhöft; Marko Niinimäki; Adrien Depeursinge; Steffen Möller; Henning Müller (HealthGrid, 2009)

3D Case-Based Retrieval for Interstitial Lung Diseases. - Adrien Depeursinge; Alejandro Vargas; Alexandra Platon; Antoine Geissbühler; Pierre-Alexandre Poletti; Henning Müller (MCBR-CDS, 2009)

Fusion Techniques for Combining Textual and Visual Information Retrieval. - Adrien Depeursinge; Henning Müller (ImageCLEF, 2010)

Information Fusion for Combining Visual and Textual Image Retrieval. - Xin Zhou 002; Adrien Depeursinge; Henning Müller (ICPR, 2010)

Information Fusion for Combining Visual and Textual Image Retrieval in ImageCLEF@ICPR. - Xin Zhou 002; Adrien Depeursinge; Henning Müller (ICPR Contests, 2010)

Asymmetric-margin support vector machines for lung tissue classification. - Jimison Iavindrasana; Adrien Depeursinge; Gilles Cohen; Antoine Geissbühler; Henning Müller (IJCNN, 2010)

Measuring the effectiveness of hospital-acquired infection prevention. - Jimison Iavindrasana; Gilles Cohen; Adrien Depeursinge; Henning Müller; Rodolphe Meyer; Hugo Sax; Antoine Geissbühler (MedInfo, 2010)

Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography. - Adrien Depeursinge; Daniel Racoceanu; Jimison Iavindrasana; Gilles Cohen; Alexandra Platon; Pierre-Alexandre Poletti; Henning Müller (Artif. Intell. Medicine, 2010)

Comparative Performance Analysis of State-of-the-Art Classification Algorithms Applied to Lung Tissue Categorization. - Adrien Depeursinge; Jimison Iavindrasana; Asmâa Hidki; Gilles Cohen; Antoine Geissbühler; Alexandra Platon; Pierre-Alexandre Poletti; Henning Müller (J. Digit. Imaging, 2010)

Affine-invariant texture analysis and retrieval of 3D medical images with clinical context integration. - Adrien Depeursinge (2010)

3D lung image retrieval using localized features. - Adrien Depeursinge; Tatjana Zrimec; Sata Busayarat; Henning Müller (Computer-Aided Diagnosis, 2011)

Lung Texture Classification Using Locally-Oriented Riesz Components. - Adrien Depeursinge; Antonio Foncubierta-Rodríguez; Dimitri Van De Ville; Henning Müller (MICCAI (3), 2011)

Overview of the Second Workshop on Medical Content-Based Retrieval for Clinical Decision Support. - Adrien Depeursinge; Hayit Greenspan; Tanveer Fathima Syeda-Mahmood; Henning Müller (MCBR-CDS, 2011)

Using Multiscale Visual Words for Lung Texture Classification and Retrieval. - Antonio Foncubierta-Rodríguez; Adrien Depeursinge; Henning Müller (MCBR-CDS, 2011)

Medical Visual Information Retrieval Based on Multi-Dimensional Texture Modeling. - Adrien Depeursinge; Henning Müller (FET, 2011)

Using MapReduce for Large-Scale Medical Image Analysis. - Dimitrios Markonis; Roger Schaer; Ivan Eggel; Henning Müller; Adrien Depeursinge (HISB, 2012)

Multiscale Lung Texture Signature Learning Using the Riesz Transform. - Adrien Depeursinge; Antonio Foncubierta-Rodríguez; Dimitri Van De Ville; Henning Müller (MICCAI (3), 2012)

Retrieval of 4D Dual Energy CT for Pulmonary Embolism Diagnosis. - Antonio Foncubierta-Rodríguez; Alejandro Vargas; Alexandra Platon; Pierre-Alexandre Poletti; Henning Müller; Adrien Depeursinge (MCBR-CDS, 2012)

Three dimensional multi-scale visual words for texture-based cerebellum segmentation. - Antonio Foncubierta-Rodríguez; Adrien Depeursinge; Laura Gui; Henning Müller (Image Processing, 2012)

Case-based lung image categorization and retrieval for interstitial lung diseases: clinical workflows. - Adrien Depeursinge; Alejandro Vargas; Frédéric Gaillard; Alexandra Platon; Antoine Geissbühler; Pierre-Alexandre Poletti; Henning Müller (Int. J. Comput. Assist. Radiol. Surg., 2012)

Building a reference multimedia database for interstitial lung diseases. - Adrien Depeursinge; Alejandro Vargas; Alexandra Platon; Antoine Geissbühler; Pierre-Alexandre Poletti; Henning Müller (Comput. Medical Imaging Graph., 2012)

Mobile Medical Visual Information Retrieval. - Adrien Depeursinge; Samuel Duc; Ivan Eggel; Henning Müller (IEEE Trans. Inf. Technol. Biomed., 2012)

Near-Affine-Invariant Texture Learning for Lung Tissue Analysis Using Isotropic Wavelet Frames. - Adrien Depeursinge; Dimitri Van De Ville; Alexandra Platon; Antoine Geissbühler; Pierre-Alexandre Poletti; Henning Müller (IEEE Trans. Inf. Technol. Biomed., 2012)

Benefits of texture analysis of dual energy CT for Computer-Aided pulmonary embolism detection. - Antonio Foncubierta-Rodríguez; Oscar Alfonso Jiménez del Toro; Alexandra Platon; Pierre-Alexandre Poletti; Henning Müller; Adrien Depeursinge (EMBC, 2013)

Rotation-covariant texture analysis of 4D dual-energy CT as an indicator of local pulmonary perfusion. - Adrien Depeursinge; Antonio Foncubierta-Rodríguez; Alejandro Vargas; Dimitri Van De Ville; Alexandra Platon; Pierre-Alexandre Poletti; Henning Müller (ISBI, 2013)

Mobile Image Upload for Radiology. - Philipp Oggier; Henning Müller; Adrien Depeursinge (MedInfo, 2013)

Epileptogenic Lesion Quantification in MRI Using Contralateral 3D Texture Comparisons. - Oscar Alfonso Jiménez del Toro; Antonio Foncubierta-Rodríguez; María Isabel Vargas Gómez; Henning Müller; Adrien Depeursinge (MICCAI (2), 2013)

Enhanced visualization of pulmonary perfusion in 4D Dual Energy CT images. - Antonio Foncubierta-Rodríguez; Antoine Widmer; Adrien Depeursinge; Henning Müller (EMBC, 2014)

A semantic framework for the retrieval of similar radiological images based on medical annotations. - Camille Kurtz; Adrien Depeursinge; Christopher F. Beaulieu; Daniel L. Rubin (ICIP, 2014)

Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities. - Adrien Depeursinge; Antonio Foncubierta-Rodríguez; Dimitri Van De Ville; Henning Müller (Medical Image Anal., 2014)

On combining image-based and ontological semantic dissimilarities for medical image retrieval applications. - Camille Kurtz; Adrien Depeursinge; Sandy Napel; Christopher F. Beaulieu; Daniel L. Rubin (Medical Image Anal., 2014)

Retrieval of high-dimensional visual data: current state, trends and challenges ahead. - Antonio Foncubierta-Rodríguez; Henning Müller; Adrien Depeursinge (Multim. Tools Appl., 2014)

Rotation-Covariant Texture Learning Using Steerable Riesz Wavelets. - Adrien Depeursinge; Antonio Foncubierta-Rodríguez; Dimitri Van De Ville; Henning Müller (IEEE Trans. Image Process., 2014)

Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT. - Adrien Depeursinge; Camille Kurtz; Christopher F. Beaulieu; Sandy Napel; Daniel L. Rubin (IEEE Trans. Medical Imaging, 2014)

USYD/HES-SO in the VISCERAL Retrieval Benchmark. - Fan Zhang 013; Yang Song 001; Weidong Cai 001; Adrien Depeursinge; Henning Müller (MRDM@ECIR, 2015)

3D Riesz-wavelet based Covariance descriptors for texture classification of lung nodule tissue in CT. - Pol Cirujeda; Henning Müller; Daniel L. Rubin; Todd A. Aguilera; Billy W. Loo; Maximilian Diehn; Xavier Binefa; Adrien Depeursinge (EMBC, 2015)

Efficient and fully automatic segmentation of the lungs in CT volumes. - Yashin Dicente Cid; Oscar Alfonso Jiménez del Toro; Adrien Depeursinge; Henning Müller (VISCERAL Challenge@ISBI, 2015)

Optimized steerable wavelets for texture analysis of lung tissue in 3-D CT: Classification of usual interstitial pneumonia. - Adrien Depeursinge; Pedram Pad; Anne S. Chin; Ann N. Leung; Daniel L. Rubin; Henning Müller; Michael Unser (ISBI, 2015)

Hierarchic Anatomical Structure Segmentation Guided by Spatial Correlations (AnatSeg-Gspac): VISCERAL Anatomy3. - Oscar Alfonso Jiménez del Toro; Yashin Dicente Cid; Adrien Depeursinge; Henning Müller (VISCERAL Challenge@ISBI, 2015)

Pulmonary embolism detection using localized vessel-based features in dual energy CT. - Yashin Dicente Cid; Adrien Depeursinge; Antonio Foncubierta-Rodríguez; Alexandra Platon; Pierre-Alexandre Poletti; Henning Müller (Computer-Aided Diagnosis, 2015)

Texture classification of anatomical structures in CT using a context-free machine learning approach. - Oscar Alfonso Jiménez del Toro; Antonio Foncubierta-Rodríguez; Adrien Depeursinge; Henning Müller (Computer-Aided Diagnosis, 2015)

Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma. - Sebastian Otálora; Angel Cruz-Roa; John Edison Arevalo Ovalle; Manfredo Atzori; Anant Madabhushi; Alexander R. Judkins; Fabio A. González 001; Henning Müller; Adrien Depeursinge (MICCAI (1), 2015)

Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment. - Omar S. Al-Kadi; Dimitri Van De Ville; Adrien Depeursinge (MICCAI (1), 2016)

A Lung Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images. - Yashin Dicente Cid; Henning Müller; Alexandra Platon; Jean-Paul Janssens; Frédéric Lador; Pierre-Alexandre Poletti; Adrien Depeursinge (MCV/BAMBI@MICCAI, 2016)

GPU-Accelerated Texture Analysis Using Steerable Riesz Wavelets. - Anamaria Vizitiu; Lucian Mihai Itu; Ranveer Joyseeree; Adrien Depeursinge; Henning Müller; Constantin Suciu (PDP, 2016)

Optimized Distributed Hyperparameter Search and Simulation for Lung Texture Classification in CT Using Hadoop. - Roger Schaer; Henning Müller; Adrien Depeursinge (J. Imaging, 2016)

Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles. - Jocelyn Barker; Assaf Hoogi; Adrien Depeursinge; Daniel L. Rubin (Medical Image Anal., 2016)

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

Text- and Content-Based Medical Image Retrieval in the VISCERAL Retrieval Benchmark. - Fan Zhang 013; Yang Song 001; Weidong Cai 001; Adrien Depeursinge; Henning Müller (Cloud-Based Benchmarking of Medical Image Analysis, 2017)

From visual words to a visual grammar: using language modelling for image classification. - Antonio Foncubierta-Rodríguez; Henning Müller; Adrien Depeursinge (CoRR, 2017)

3D Solid Texture Classification Using Locally-Oriented Wavelet Transforms. - Yashin Dicente Cid; Henning Müller; Alexandra Platon; Pierre-Alexandre Poletti; Adrien Depeursinge (IEEE Trans. Image Process., 2017)

Steerable Wavelet Machines (SWM): Learning Moving Frames for Texture Classification. - Adrien Depeursinge; Zsuzsanna Püspöki; John Paul Ward; Michael Unser (IEEE Trans. Image Process., 2017)

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

Holographic Visualisation and Interaction of Fused CT, PET and MRI Volumetric Medical Imaging Data Using Dedicated Remote GPGPU Ray Casting. - Magali Fröhlich; Christophe Bolinhas; Adrien Depeursinge; Antoine Widmer; Nicolas Chevrey; Patric Hagmann; Christian Simon; Vivianne B. C. Kokje; Stéphane Gobron (POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, 2018)

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. - Mingchen Gao; Ulas Bagci; Le Lu 001; Aaron Wu; Mario Buty; Hoo-Chang Shin; Holger Roth; Georgios Z. Papadakis; Adrien Depeursinge; Ronald M. Summers; Ziyue Xu 001; Daniel J. Mollura (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

Rotation-covariant tissue analysis for interstitial lung diseases using learned steerable filters: Performance evaluation and relevance for diagnostic aid. - Ranveer Joyseeree; Henning Müller; Adrien Depeursinge (Comput. Medical Imaging Graph., 2018)

Fast Rotational Sparse Coding. - Michael T. McCann; Michael Unser; Adrien Depeursinge (CoRR, 2018)

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

A lung graph model for the classification of interstitial lung diseases on CT images. - Guillaume Vanoost; Yashin Dicente Cid; Daniel L. Rubin; Adrien Depeursinge (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)

Texture-driven parametric snakes for semi-automatic image segmentation. - Anaïs Badoual; Michael Unser; Adrien Depeursinge (Comput. Vis. Image Underst., 2019)

Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification. - Ranveer Joyseeree; Sebastian Otálora; Henning Müller; Adrien Depeursinge (Medical Image Anal., 2019)

Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinoma. - Pierre Fontaine; Francois-Georges Riet; Joël Castelli; Khemara Gnep; Adrien Depeursinge; Renaud de Crevoisier; Oscar Acosta (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)

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)

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)

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)

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)

Principled Design and Implementation of Steerable Detectors. - Julien Fageot; Virginie Uhlmann; Zsuzsanna Püspöki; Benjamin Beck; Michael Unser; Adrien Depeursinge (IEEE Trans. Image Process., 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)

Steer'n'Detect: fast 2D template detection with accurate orientation estimation. - Virginie Uhlmann; Zsuzsanna Püspöki; Adrien Depeursinge; Michael Unser; Daniel Sage; Julien Fageot (Bioinform., 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)

Rethinking the Role of AI with Physicians in Oncology: Revealing Perspectives from Clinical and Research Workflows. - Himanshu Verma 001; Jakub Mlynár; Roger Schaer; Julien Reichenbach; Mario Jreige; John O. Prior; Florian Evéquoz; Adrien Depeursinge (CHI, 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. (CVPR, 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)

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)

Comparing Stability and Discriminatory Power of Hand-Crafted Versus Deep Radiomics: A 3D-Printed Anthropomorphic Phantom Study. - 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 (EUVIP, 2024)

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)

Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis. - 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 (ISIC/iMIMIC/EARTH/DeCaF@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)

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

Explainability of AI Uncertainty: Application to Multiple Sclerosis Lesion Segmentation on MRI. - 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; et al. (CoRR, 2025)

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)

Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis. - 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; et al. (CoRR, 2025)

The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information. - 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 001; et al. (CoRR, 2025)