A. Depeursinge

发表

Automated Classification of Usual Interstitial Pneumonia Using Regional Volumetric Texture Analysis in High-Resolution Computed Tomography

A. Leung, D. Rubin, A. Depeursinge, 2015, Investigative radiology.

PET-based prognostic survival model after radiotherapy for head and neck cancer

John O. Prior, J. Bourhis, O. Acosta, 2018, European Journal of Nuclear Medicine and Molecular Imaging.

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping.

R. Steenbakkers, M. Hatt, M. Desseroit, 2020, Radiology.

Signature of survival: a 18F-FDG PET based whole-liver radiomic analysis predicts survival after 90Y-TARE for hepatocellular carcinoma

John O. Prior, A. Depeursinge, A. Denys, 2017, Oncotarget.

CHAPTER 3 Biomedical Texture Operators and Aggregation Functions AMethodological Review and User ’ s Guide

A. Depeursinge, J. Fageot, 2017 .

Pulmonary Embolism Detecton using Localized Vessel–Based Features in Dual Energy CT

Yashin Dicente Cid, H. Müller, A. Depeursinge, 2015 .

Overview of the predictive value of quantitative 18 FDG PET in head and neck cancer treated with chemoradiotherapy.

J Castelli, A Depeursinge, John O. Prior, 2016, Critical reviews in oncology/hematology.

Mobile Medical Visual Information Retrieval

Henning Müller, Adrien Depeursinge, Ivan Eggel, 2012, IEEE Transactions on Information Technology in Biomedicine.

A Lung Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images

Henning Müller, Adrien Depeursinge, Yashin Dicente Cid, 2016, MCV/BAMBI@MICCAI.

(18F)-FDG PET/CT parameters to predict survival and recurrence in patients with locally advanced cervical cancer treated with chemoradiotherapy.

John O. Prior, J. Bourhis, A. Depeursinge, 2018, Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique.

Biomedical texture analysis : fundamentals, tools and challenges

Omar S. Al-Kadi, Adrien Depeursinge, J Ross Mitchell, 2017 .

18F-FDG PET/CT–Based Prognostic Survival Model After Surgery for Head and Neck Cancer

R. Crevoisier, R. Marianowski, A. Depeursinge, 2021, The Journal of Nuclear Medicine.

Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT

Vincent Andrearczyk, Adrien Depeursinge, Martin Vallières, 2020, HECKTOR@MICCAI.

Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CT

John O. Prior, V. Andrearczyk, A. Depeursinge, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences

John O. Prior, D. Calvaresi, Wessel Reijers, 2022, Artificial intelligence review.

Texture classiﬁcation of anatomical structures using a context–free machine learning approach

H. Müller, A. Depeursinge, O. J. D. Toro, 2015 .

On Improving Physicians’ Trust in AI: Qualitative Inquiry with Imaging Experts in the Oncological Domain

John O. Prior, A. Depeursinge, Roger Schaer, 2021 .

3 D epileptogenic lesion texture analysis and quantification in MRI using contralateral 3 D Riesz wavelet transform

H. Müller, A. Depeursinge, O. J. D. Toro, 2013 .

The importance of feature aggregation in radiomics: a head and neck cancer study

Henning Müller, Oscar Acosta, Adrien Depeursinge, 2020, Scientific Reports.

Text- and Content-Based Medical Image Retrieval in the VISCERAL Retrieval Benchmark

Henning Müller, Weidong Cai, Yang Song, 2017, Cloud-Based Benchmarking of Medical Image Analysis.

Texture classification of anatomical structures in CT using a context-free machine learning approach

Henning Müller, Adrien Depeursinge, Antonio Foncubierta-Rodríguez, 2015, Medical Imaging.

Mobile medical image retrieval

Henning Müller, Adrien Depeursinge, Ivan Eggel, 2011, Medical Imaging.

Hierarchical classification using a frequency-based weighting and simple visual features

Xin Zhou, Henning Müller, Adrien Depeursinge, 2008, Pattern Recognit. Lett..

Content-based image retrieval from a database of fracture images

Christian Lovis, Henning Müller, Adrien Depeursinge, 2007, SPIE Medical Imaging.

Learning a Frequency-Based Weighting for Medical Image Classification

Tobias Gass, Antoine Geissbühler, Henning Müller, 2007, MIMI.

KnowARC: Enabling Grid networks for the biomedical research community

Antoine Geissbühler, Henning Müller, Xin Zhou, 2007, HealthGrid.

Automated Object Extraction for Medical Image Retrieval Using the Insight Toolkit (ITK)

Antoine Geissbühler, Henning Müller, Adrien Depeursinge, 2006, AIRS.

Integrating radiomics into holomics for personalised oncology: from algorithms to bedside

Olivier Michielin, Roberto Gatta, Adrien Depeursinge, 2020, European Radiology Experimental.

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks

Ronald M. Summers, Ulas Bagci, Holger Roth, 2018, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Texture-driven parametric snakes for semi-automatic image segmentation

Michael Unser, Anais Badoual, Adrien Depeursinge, 2019, Comput. Vis. Image Underst..

Clinical Data Mining: a Review

A Depeursinge, A Geissbuhler, R Meyer, 2009, Yearbook of Medical Informatics.

Evaluation of the Prognostic Value of FDG PET/CT Parameters for Patients With Surgically Treated Head and Neck Cancer: A Systematic Review.

O. Acosta, A. Depeursinge, J. Castelli, 2020, JAMA otolaryngology-- head & neck surgery.

Assessing treatment response in triple-negative breast cancer from quantitative image analysis in perfusion magnetic resonance imaging

Adrien Depeursinge, Imon Banerjee, Daniel L Rubin, 2017, Journal of medical imaging.

Cleaning radiotherapy contours for radiomics studies, is it worth it? A head and neck cancer study

John O. Prior, V. Andrearczyk, O. Acosta, 2022, Clinical and translational radiation oncology.

Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles

Adrien Depeursinge, Jocelyn Barker, Daniel L Rubin, 2016, Medical Image Anal..

3D Riesz-wavelet based Covariance descriptors for texture classification of lung nodule tissue in CT

Pol Cirujeda, Xavier Binefa, Henning Müller, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Multiscale Lung Texture Signature Learning Using the Riesz Transform

Dimitri Van De Ville, Henning Müller, Adrien Depeursinge, 2012, MICCAI.

Affine-invariant texture analysis and retrieval of 3D medical images with clinical context integration

Adrien Depeursinge, A. Depeursinge, 2010 .

Lung Tissue Classification Using Wavelet Frames

H. Muller, A. Depeursinge, M. Unser, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Head and neck tumor segmentation in PET/CT: The HECKTOR challenge

John O. Prior, M. Hatt, A. Rahmim, 2021, Medical Image Anal..

Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography

Henning Müller, Gilles Cohen, Jimison Iavindrasana, 2010, Artif. Intell. Medicine.

Fusion Techniques for Combining Textual and Visual Information Retrieval

Henning Müller, Adrien Depeursinge, H. Müller, 2010, ImageCLEF.

Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans

Vincent Andrearczyk, Adrien Depeursinge, Martin Vallières, 2020, MIDL.

Information Fusion for Combining Visual and Textual Image Retrieval

Henning Müller, Xin Zhou, Adrien Depeursinge, 2010, 2010 20th International Conference on Pattern Recognition.

Information Fusion for Combining Visual and Textual Image Retrieval in ImageCLEF@ICPR

Henning Müller, Xin Zhou, Adrien Depeursinge, 2010, ICPR Contests.

Rethinking the Role of AI with Physicians in Oncology: Revealing Perspectives from Clinical and Research Workflows

John O. Prior, A. Depeursinge, Roger Schaer, 2023, CHI.

Metabolic Tumor Volume and Total Lesion Glycolysis in Oropharyngeal Cancer Treated With Definitive Radiotherapy: Which Threshold Is the Best Predictor of Local Control?

Adrien Depeursinge, Renaud de Crevoisier, Joël Castelli, 2017, Clinical nuclear medicine.

A PET-based nomogram for oropharyngeal cancers.

J Castelli, A Depeursinge, John O. Prior, 2017, European journal of cancer.

Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities

Dimitri Van De Ville, Henning Müller, Adrien Depeursinge, 2014, Medical Image Anal..

Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness

Adrien Depeursinge, Dmitry Cherezov, Robert Gillies, 2019, Scientific Reports.

Building a reference multimedia database for interstitial lung diseases

Antoine Geissbühler, Henning Müller, Adrien Depeursinge, 2012, Comput. Medical Imaging Graph..

Retrieval of high-dimensional visual data: current state, trends and challenges ahead

H. Müller, A. Depeursinge, A. Foncubierta-Rodríguez, 2014, Multimedia Tools and Applications.

Using Multiscale Visual Words for Lung Texture Classification and Retrieval

Henning Müller, Adrien Depeursinge, Antonio Foncubierta-Rodríguez, 2011, MCBR-CDS.

Lung Texture Classification Using Locally-Oriented Riesz Components

Dimitri Van De Ville, Henning Müller, Adrien Depeursinge, 2011, MICCAI.

3D lung image retrieval using localized features

Henning Müller, Tatjana Zrimec, Sata Busayarat, 2011, Medical Imaging.

Case-based lung image categorization and retrieval for interstitial lung diseases: clinical workflows

Antoine Geissbühler, Henning Müller, Adrien Depeursinge, 2011, International Journal of Computer Assisted Radiology and Surgery.

Sensors, Medical Images and Signal Processing:

A Depeursinge, H Müller, H. Müller, 2010, Yearbook of Medical Informatics.

Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images

John O. Prior, M. Hatt, D. Visvikis, 2022, HECKTOR@MICCAI.

QuantImage: An Online Tool for High-Throughput 3D Radiomics Feature Extraction in PET-CT

Roger Schaer, Adrien Depeursinge, Yashin Dicente Cid, 2017 .

Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer

Vincent Andrearczyk, Adrien Depeursinge, John O. Prior, 2021, PRIME@MICCAI.

Why is the Winner the Best?

Helena R. Torres, Bjoern H Menze, Moi Hoon Yap, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences

John O. Prior, D. Calvaresi, Wessel Reijers, 2022, Artificial Intelligence Review.

Exploring local rotation invariance in 3D CNNs with steerable filters

Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, 2018, MIDL.

Biomedical image analysis competitions: The state of current participation practice

Anne L. Martel, Helena R. Torres, Bjoern H Menze, 2022, ArXiv.

Predicting adenocarcinoma recurrence using computational texture models of nodule components in lung CT.

Adrien Depeursinge, Masahiro Yanagawa, Daniel L Rubin, 2015, Medical physics.

An exploration of uncertainty information for segmentation quality assessment

Vincent Andrearczyk, Ken Chang, Jayashree Kalpathy-Cramer, 2020, Medical Imaging: Image Processing.

HEad and neCK TumOR segmentation and outcome prediction in PET/CT images

John O. Prior, M. Hatt, D. Visvikis, 2021 .

Interpretable and Annotation-Efficient Learning for Medical Image Computing: Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings

Henning Müller, Vincent Andrearczyk, Adrien Depeursinge, 2020, iMIMIC/MIL3ID/LABELS@MICCAI.

A lung graph model for the classification of interstitial lung diseases on CT images

Daniel L. Rubin, Adrien Depeursinge, Yashin Dicente Cid, 2019, Medical Imaging.

3D Solid Texture Classification Using Locally-Oriented Wavelet Transforms

Henning Müller, Adrien Depeursinge, Alexandra Platon, 2017, IEEE Transactions on Image Processing.

Efficient and fully automatic segmentation of the lungs in CT volumes

Henning Müller, Adrien Depeursinge, Oscar Alfonso Jiménez del Toro, 2015, VISCERAL Challenge@ISBI.

On combining image-based and ontological semantic dissimilarities for medical image retrieval applications

Daniel L. Rubin, Adrien Depeursinge, Camille Kurtz, 2014, Medical Image Anal..

Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT

Adrien Depeursinge, Sandy Napel, Daniel Rubin, 2014, IEEE Transactions on Medical Imaging.

A semantic framework for the retrieval of similar radiological images based on medical annotations

Daniel L. Rubin, Adrien Depeursinge, Camille Kurtz, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Fundamentals of Texture Processing for Biomedical Image Analysis: A General Definition and Problem Formulation

Julien Fageot, Omar S. Al-Kadi, Adrien Depeursinge, 2017 .

Rotation–Covariant Texture Learning Using Steerable Riesz Wavelets

Dimitri Van De Ville, Henning Müller, Adrien Depeursinge, 2014, IEEE Transactions on Image Processing.

Standardised convolutional filtering for radiomics

H. Müller, V. Andrearczyk, A. Depeursinge, 2020, ArXiv.

QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research

John O. Prior, A. Depeursinge, Roger Schaer, 2023, European Radiology Experimental.

Local Rotation Invariance in 3D CNNs

Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, 2020, Medical Image Anal..

Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features

Michael Unser, Vincent Andrearczyk, Adrien Depeursinge, 2018, MLMI@MICCAI.

Steerable Wavelet Machines (SWM): Learning Moving Frames for Texture Classification

Michael Unser, Adrien Depeursinge, John Paul Ward, 2017, IEEE Transactions on Image Processing.

Biomedical Texture Operators and Aggregation Functions: A Methodological Review and User's Guide

Adrien Depeursinge, Julien Fageot, A. Depeursinge, 2017 .

Web-Based Tools for Exploring the Potential of Quantitative Imaging Biomarkers in Radiology

Daniel L. Rubin, Roger Schaer, Adrien Depeursinge, 2017 .

A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CT

Pol Cirujeda, Xavier Binefa, Henning Müller, 2016, IEEE Transactions on Medical Imaging.

Optimized steerable wavelets for texture analysis of lung tissue in 3-D CT: Classification of usual interstitial pneumonia

Michael Unser, Pedram Pad, Henning Müller, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

The use of texture-based radiomics CT analysis to predict outcomes in early-stage non-small cell lung cancer treated with stereotactic ablative radiotherapy.

Quynh-Thu Le, Adrien Depeursinge, Daniel L Rubin, 2019, The British journal of radiology.

Fusing Visual and Clinical Information for Lung Tissue Classification in HRCT Data

Daniel Racoceanu, Gilles Cohen, Adrien Depeursinge, 2009 .

Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT

Vincent Andrearczyk, Adrien Depeursinge, John O. Prior, 2021, ML-CDS@MICCAI.

Neural network training for cross-protocol radiomic feature standardization in computed tomography

Henning Müller, Vincent Andrearczyk, Adrien Depeursinge, 2019, Journal of medical imaging.

Learning cross-protocol radiomics and deep feature standardization from CT images of texture phantoms

Henning Müller, Vincent Andrearczyk, Adrien Depeursinge, 2019, Medical Imaging.

Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification

Henning Müller, Ranveer Joyseeree, Adrien Depeursinge, 2019, Medical Image Anal..

Robust Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net

John O. Prior, V. Andrearczyk, A. Depeursinge, 2022, MIDL.

Solid Spherical Energy (SSE) CNNs for Efficient 3D Medical Image Analysis

Vincent Andrearczyk, Adrien Depeursinge, Julien Fageot, 2019 .

On the Scale Invariance in State of the Art CNNs Trained on ImageNet

Vincent Andrearczyk, Adrien Depeursinge, Mara Graziani, 2021, Mach. Learn. Knowl. Extr..

Locoregional Radiogenomic Models Capture Gene Expression Heterogeneity in Glioblastoma

Michael, Olivier Gevaert, Daniel L. Rubin, 2018, bioRxiv.

Rotation-covariant tissue analysis for interstitial lung diseases using learned steerable filters: Performance evaluation and relevance for diagnostic aid

Henning Müller, Ranveer Joyseeree, Adrien Depeursinge, 2018, Comput. Medical Imaging Graph..

From visual words to a visual grammar: using language modelling for image classification pdf

Henning Müller, Adrien Depeursinge, Antonio Foncubierta-Rodríguez, 2017, ArXiv.

Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT

John O. Prior, Agustina La Greca Saint-Esteven, M. Hatt, 2022, HECKTOR@MICCAI.

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Bjoern H Menze, Moon S Kim, David G. Ellis, 2023, arXiv.org.

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Bjoern H Menze, Moon S Kim, David G. Ellis, 2023, ArXiv.

Biomedical image analysis competitions: The state of current participation practice

Anne L. Martel, Helena R. Torres, Bjoern H Menze, 2022, arXiv.org.

Three dimensional multi-scale visual words for texture-based cerebellum segmentation

Henning Müller, Adrien Depeursinge, Antonio Foncubierta-Rodríguez, 2012, Medical Imaging.

Design of a Decentralized Reusable Research Database Architecture to Support Data Acquisition in Large Research Projects

Antoine Geissbühler, Patrick Ruch, Stéphane Spahni, 2007, MedInfo.

Optimized Distributed Hyperparameter Search and Simulation for Lung Texture Classification in CT Using Hadoop

Henning Müller, Roger Schaer, Adrien Depeursinge, 2016, J. Imaging.

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping.

R. Steenbakkers, M. Hatt, M. Desseroit, 2016, Radiology.

A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CT

Yashin Dicente Cid, D. Rubin, H. Müller, 2016, IEEE Transactions on Medical Imaging.

How far MS lesion detection and segmentation are integrated into the clinical workflow? A systematic review

C. Granziera, H. Müller, L. Melie-García, 2023, NeuroImage: Clinical.

Automated MS lesion detection and segmentation in clinical workflow: a systematic review

C. Granziera, H. Müller, A. Depeursinge, 2023 .

Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinoma

Oscar Acosta, Khemara Gnep, Adrien Depeursinge, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging

Henning Müller, Vincent Andrearczyk, Adrien Depeursinge, 2020, iMIMIC/MIL3iD/LABELS@MICCAI.

Principled Design and Implementation of Steerable Detectors

Michael Unser, Zsuzsanna Puspoki, Julien Fageot, 2018, IEEE Transactions on Image Processing.

Comparative Performance Analysis of State-of-the-Art Classification Algorithms Applied to Lung Tissue Categorization

Antoine Geissbühler, Henning Müller, Gilles Cohen, 2010, Journal of Digital Imaging.

How a clinical information system can support life science research

Adrien Depeursinge, Jimison Iavindrasana, Henning Müller, 2008 .

Predicting non-response to NAC in patients with breast cancer using 3D texture analysis

Antoine Geissbühler, Adrien Depeursinge, Nicolas Michoux, 2015 .

Sensors, Medical Images and Signal Processing:

A Depeursinge, H. Müller, A. Depeursinge, 2009, Yearbook of Medical Informatics.

Fast Rotational Sparse Coding pdf

Michael Unser, Michael T. McCann, Adrien Depeursinge, 2018, ArXiv.

PET-based prognostic survival model after radiotherapy for head and neck cancer

John O. Prior, J. Bourhis, O. Acosta, 2018, European Journal of Nuclear Medicine and Molecular Imaging.

The Discriminative Power and Stability of Radiomics Features With Computed Tomography Variations

H. Müller, E. Konukoglu, B. Stieltjes, 2021, Investigative radiology.

Using MapReduce for Large-Scale Medical Image Analysis

Henning Müller, Roger Schaer, Adrien Depeursinge, 2012, 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology.

3D Head and Neck Tumor Segmentation in PET/CT

John O. Prior, V. Andrearczyk, A. Depeursinge, 2020 .

Retrieval of 4D Dual Energy CT for Pulmonary Embolism Diagnosis

Henning Müller, Adrien Depeursinge, Antonio Foncubierta-Rodríguez, 2012, MCBR-CDS.

Sensors, Medical Images and Signal Processing: Ubiquitous Personalized Health Monitoring

H Müller, A Foncubierta-Rodriguez, A Depeursinge, 2012, Yearbook of Medical Informatics.

The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights.

Mohammad R. Salmanpour, F. Tixier, Fanny Orlhac, 2024, Radiology.

Rotation-covariant visual concept detection using steerable Riesz wavelets and bags of visual words

Henning Müller, Antonio Foncubierta, Adrien Depeursinge, 2013, Optics & Photonics - Optical Engineering + Applications.

Multiscale and Multidirectional Biomedical Texture Analysis: Finding the Needle in the Haystack

Adrien Depeursinge, A. Depeursinge, 2017 .