Adrien Depeursinge
Orcid: 0000-0002-2362-0304
According to our database1,
Adrien Depeursinge
authored at least 100 papers
between 2006 and 2024.
Collaborative distances:
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Bibliography
2024
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation.
CoRR, 2024
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.
Medical Image Anal., December, 2023
A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences.
Artif. Intell. Rev., April, 2023
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation.
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Rethinking the Role of AI with Physicians in Oncology: Revealing Perspectives from Clinical and Research Workflows.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
2022
Medical Image Anal., 2022
CoRR, 2022
Bioinform., 2022
Robust Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CT.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
IEEE Trans. Image Process., 2021
Mach. Learn. Knowl. Extr., 2021
Proceedings of the Multimodal Learning for Clinical Decision Support, 2021
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021
Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
Comparison of MR Preprocessing Strategies and Sequences for Radiomics-Based MGMT Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT.
Proceedings of the Head and Neck Tumor Segmentation - First Challenge, 2020
Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinoma.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification.
Medical Image Anal., 2019
Comput. Vis. Image Underst., 2019
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
A lung graph model for the classification of interstitial lung diseases on CT images.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2018
Rotation-covariant tissue analysis for interstitial lung diseases using learned steerable filters: Performance evaluation and relevance for diagnostic aid.
Comput. Medical Imaging Graph., 2018
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018
Holographic Visualisation and Interaction of Fused CT, PET and MRI Volumetric Medical Imaging Data Using Dedicated Remote GPGPU Ray Casting.
Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018
Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
2017
IEEE Trans. Image Process., 2017
IEEE Trans. Image Process., 2017
From visual words to a visual grammar: using language modelling for image classification.
CoRR, 2017
Proceedings of the Cloud-Based Benchmarking of Medical Image Analysis, 2017
2016
IEEE Trans. Medical Imaging, 2016
Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles.
Medical Image Anal., 2016
Optimized Distributed Hyperparameter Search and Simulation for Lung Texture Classification in CT Using Hadoop.
J. Imaging, 2016
Proceedings of the 24th Euromicro International Conference on Parallel, 2016
A Lung Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images.
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016
Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Texture classification of anatomical structures in CT using a context-free machine learning approach.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Pulmonary embolism detection using localized vessel-based features in dual energy CT.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Hierarchic Anatomical Structure Segmentation Guided by Spatial Correlations (AnatSeg-Gspac): VISCERAL Anatomy3.
Proceedings of the VISCERAL Anatomy3 Organ Segmentation Challenge co-located with IEEE International Symposium on Biomedical Imaging (ISBI 2015), 2015
Optimized steerable wavelets for texture analysis of lung tissue in 3-D CT: Classification of usual interstitial pneumonia.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the VISCERAL Anatomy3 Organ Segmentation Challenge co-located with IEEE International Symposium on Biomedical Imaging (ISBI 2015), 2015
3D Riesz-wavelet based Covariance descriptors for texture classification of lung nodule tissue in CT.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the Multimodal Retrieval in the Medical Domain, 2015
2014
Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT.
IEEE Trans. Medical Imaging, 2014
IEEE Trans. Image Process., 2014
Retrieval of high-dimensional visual data: current state, trends and challenges ahead.
Multim. Tools Appl., 2014
On combining image-based and ontological semantic dissimilarities for medical image retrieval applications.
Medical Image Anal., 2014
Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities.
Medical Image Anal., 2014
A semantic framework for the retrieval of similar radiological images based on medical annotations.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Epileptogenic Lesion Quantification in MRI Using Contralateral 3D Texture Comparisons.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Rotation-covariant texture analysis of 4D dual-energy CT as an indicator of local pulmonary perfusion.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Benefits of texture analysis of dual energy CT for Computer-Aided pulmonary embolism detection.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Near-Affine-Invariant Texture Learning for Lung Tissue Analysis Using Isotropic Wavelet Frames.
IEEE Trans. Inf. Technol. Biomed., 2012
Comput. Medical Imaging Graph., 2012
Case-based lung image categorization and retrieval for interstitial lung diseases: clinical workflows.
Int. J. Comput. Assist. Radiol. Surg., 2012
Three dimensional multi-scale visual words for texture-based cerebellum segmentation.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012
2011
Proceedings of the 2nd European Future Technologies Conference and Exhibition, 2011
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2011
Overview of the Second Workshop on Medical Content-Based Retrieval for Clinical Decision Support.
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
2010
Affine-invariant texture analysis and retrieval of 3D medical images with clinical context integration.
PhD thesis, 2010
Comparative Performance Analysis of State-of-the-Art Classification Algorithms Applied to Lung Tissue Categorization.
J. Digit. Imaging, 2010
Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography.
Artif. Intell. Medicine, 2010
Proceedings of the MEDINFO 2010, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Information Fusion for Combining Visual and Textual Image Retrieval in ImageCLEF@ICPR.
Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the ImageCLEF, Experimental Evaluation in Visual Information Retrieval, 2010
2009
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2009
Proceedings of the Healthgrid Research, Innovation and Business Case - Proceedings of HealthGrid 2009, Berlin, Germany, 29 June, 2009
Towards an Automated Nosocomial Infection Case Reporting - Framework to Build a Computer-aided Detection of Nosocomial Infection.
Proceedings of the Second International Conference on Health Informatics, 2009
2008
Hierarchical classification using a frequency-based weighting and simple visual features.
Pattern Recognit. Lett., 2008
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008
2007
Proceedings of the Medical Imaging and Informatics, 2nd International Conference, 2007
Image-based diagnostic aid for interstitial lung disease with secondary data integration.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Design of a Decentralized Reusable Research Database Architecture to Support Data Acquisition in Large Research Projects.
Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007
Proceedings of the From Genes to Personalized HealthCare: Grid Solutions for the Life Sciences, 2007
2006
Automated Object Extraction for Medical Image Retrieval Using the Insight Toolkit (ITK).
Proceedings of the Information Retrieval Technology, 2006