Pierre-Henri Conze
89
Documents
Publications
Multi-modal PET/CT fusion for automated PD-L1 status prediction in lung cancerIEEE International Symposium on Biomedical Imaging, May 2024, Athens, Greece
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One-sided unsupervised medical image synthesis with normalized edge consistencyIEEE International Symposium on Biomedical Imaging, May 2024, Athens, Greece
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Deep vessel segmentation with joint multi-prior encodingIEEE 21th International Symposium on Biomedical Imaging, May 2024, Athens, Greece
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Learning transferability in deep segmentation of liver metastasesIEEE International Symposium on Biomedical Imaging, May 2024, Athens, Greece
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LMT: Longitudinal mixing training, a framework for the prediction of disease progression using a single imageInternational Workshop on Machine Learning in Medical Imaging, Oct 2023, Vancouver, Canada
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Scale-specific auxiliary multi-task contrastive learning for deep liver vessel segmentationISBI 2023: IEEE 20th International Symposium on Biomedical Imaging, Apr 2023, Cartagena de Indias, Colombia. ⟨10.1109/ISBI53787.2023.10230364⟩
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Gait deviation change prediction for patients with gait disorders using artificial intelligenceIEEE Engineering in Medicine and Biology Conference, Jul 2023, Sydney, Australia
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Self super resolution for hepatic vessel CT segmentation2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD), Nov 2023, Vancouver, France. pp.1-1, ⟨10.1109/NSSMICRTSD49126.2023.10337892⟩
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Longitudinal self-supervised learning using neural ordinary differential equationInternational Workshop on Predictive Intelligence in Medicine, Oct 2023, Vancouver (Canada), Canada
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Improved automatic diabetic retinopathy severity classification using deep multimodal fusion of UWF-CFP and OCTA imagesOphthalmic Medical Image Analysis Workshop, Oct 2023, Vancouver (Canada), Canada
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Comparing modern segmentation architectures under low data regime for PET-CT tumor segmentationNSM MIC 2022: IEEE Nuclear science symposium and medical imaging conference, Nov 2022, Milan, Italy
Communication dans un congrès
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Pure versus hybrid Transformers for multi-modal brain tumor segmentation: a comparative studyIEEE International Conference on Image Processing, Oct 2022, Bordeaux, France. ⟨10.1109/ICIP46576.2022.9897658⟩
Communication dans un congrès
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Mapping the ocular surface from monocular videos with an application to dry eye disease gradingMICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA), Sep 2022, Singapore, Singapore
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Detection of Diabetic Retinopathy Using Longitudinal Self-supervised LearningOMIA 2022: 9th International Workshop on Ophthalmic Medical Image Analysis Held in Conjunction with MICCAI 2022, Sep 2022, Singapore, Singapore. pp.43-52, ⟨10.1007/978-3-031-16525-2_5⟩
Communication dans un congrès
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Deep treatment response assessment and prediction of colorectal cancer liver metastasesMICCAI 2022: International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2022, Singapore, Singapore. pp.482-491, ⟨10.1007/978-3-031-16437-8_46⟩
Communication dans un congrès
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Multimodal information fusion for glaucoma and diabetic retinopathy classificationMICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA), Sep 2022, Singapore, Singapore
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Intégration d'à priori de forme semi-surcomplets pour la segmentation automatique du système vasculaireRITS, ISFGBM, May 2022, Brest, France
Communication dans un congrès
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Semi-overcomplete convolutional auto-encoder embedding as shape priors for deep vessel segmentationIEEE International Conference on Image Processing, Oct 2022, Bordeaux, France. ⟨10.1109/ICIP46576.2022.9897188⟩
Communication dans un congrès
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Detection of diabetic retinopathy using longitudinal self-supervised learningMICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA), Sep 2022, Singapore, Singapore
Communication dans un congrès
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Longitudinal detection of diabetic retinopathy early severity grade changes using deep learningOMIA 2021: 8th International Workshop on Ophthalmic Medical Image Analysis, Sep 2021, Strasbourg, France. ⟨10.1007/978-3-030-87000-3_2⟩
Communication dans un congrès
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Deep active learning for dual-view mammogram analysisInternational Workshop on Machine Learning in Medical Imaging, Sep 2021, Strasbourg, France
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Multi-structure deep segmentation with shape priors and latent adversarial regularizationISBI 2021 : IEEE 18th International Symposium on Biomedical Imaging, Apr 2021, Nice, France. ⟨10.1109/ISBI48211.2021.9434104⟩
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Synthèse de tumeurs par modèle génératif one-shot pour la segmentation inter-modale en imagerie médicaleORASIS 2021, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France
Communication dans un congrès
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Two-stage multi-scale mass segmentation from full mammogramsISBI 2021 : IEEE 18th International Symposium on Biomedical Imaging, Apr 2021, Nice, France. ⟨10.1109/ISBI48211.2021.9433946⟩
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Multi-task, multi-domain deep segmentation with shared representations and contrastive regularization for sparse pediatric datasetsMICCAI 2021: International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2021, Strasbourg, France. ⟨10.1007/978-3-030-87193-2_23⟩
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Synthetic tumor insertion using one-shot generative learning for cross-modal image segmentationIEEE Nuclear science symposium and medical imaging conference 2021, Oct 2021, Virtual, Japan
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Combining shape priors with conditional adversarial networks for improved scapula segmentation in MR imagesISBI 2020 : IEEE 17th International Symposium on Biomedical Imaging, Apr 2020, Iowa City, United States. ⟨10.1109/ISBI45749.2020.9098360⟩
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Multi-tasking Siamese networks for breast mass detection using dual-view mammogram matchingMLMI 2020 : International Workshop on Machine Learning in Medical Imaging, Oct 2020, Lima, Peru. pp.312-321, ⟨10.1007/978-3-030-59861-7_32⟩
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A new conditional region growing approach for an accurate detection of microcalcifications from mammographic imagesBIBE 2020 : IEEE 20th International Conference on Bioinformatics And Bioengineering, Oct 2020, Cincinnati, United States. ⟨10.1109/BIBE50027.2020.00132⟩
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Morphological-based microcalcification detection using adaptive thresholding and structural similarity indicesATSIP 2020 : 5th International Conference on Advanced Technologies for Signal & Image Processing, Sep 2020, Sousse, Tunisia. ⟨10.1109/ATSIP49331.2020.9231731⟩
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Efficient embedding network for 3D brain tumor segmentationBrainLes 2020: International MICCAI Brain Lesion Workshop, Oct 2020, Lima, Peru. pp.252-262, ⟨10.1007/978-3-030-72084-1_23⟩
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Deep convolutional encoder-decoders for deltoid segmentation using healthy versus pathological learning transferabilityISBI 2019: IEEE International Symposium on Biomedical Imaging, Apr 2019, Venise, Italy. ⟨10.1109/ISBI.2019.8759378⟩
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Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammogramsIEEE International Engineering in Medicine and Biology Conference, Jul 2019, Berlin, Germany. ⟨10.1109/EMBC.2019.8857167⟩
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Robust supervoxel matching combining mid-level spectral and context-rich featuresPatch-MI 2018 : International Workshop on Patch-based Techniques in Medical Imaging, Sep 2018, Grenade, Spain. pp.39 - 47, ⟨10.1007/978-3-030-00500-9_5⟩
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Long-term superpixel tracking using unsupervised learning and multi-step integrationATSIP 2018 : International Conference on Advanced Technologies for Signal and Image Processing, Mar 2018, Sousse, Tunisia. ⟨10.1109/ATSIP.2018.8364453⟩
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Optical flow estimation in ocular endoscopy videos using flownet on simulated endoscopy dataISBI 2018 : IEEE International Symposium on Biomedical Imaging, Apr 2018, Washington, United States. pp.1463 - 1466, ⟨10.1109/ISBI.2018.8363848⟩
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Hierarchical Multi-Scale Supervoxel Matching using Random Forests for Automatic Semi-Dense Abdominal Image RegistrationISBI 2017 : IEEE 14th International Symphosium on Biomedical Imaging, Apr 2017, Melbourne, Australia. ⟨10.1109/ISBI.2017.7950567⟩
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Random Forests on Hierarchical Multi-Scale Supervoxels for Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans.International Symposium on Biomedical Imaging, Apr 2016, Prague, Czech Republic
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Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels6th International Workshop on Machine Learning in Medical Imaging (MLMI 2015), Oct 2015, Munich, Germany. pp.212-219, ⟨10.1007/978-3-319-24888-2_26⟩
Communication dans un congrès
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Segmentation semi-automatique de tumeurs du foie en TDM dynamique pour l'estimation du taux de nécroseColloque GRETSI Traitement du Signal & des Images, GRETSI 2015, Sep 2015, Lyon, France
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Dense long-term motion estimation via Statistical Multi-Step FlowInternational Conference on Computer Vision Theory and Applications, Jan 2014, Lisbon, Portugal. pp.138
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Estimation de mouvement dense entre images distantes : intégration combinatoire multi-steps et sélection statistiqueXXIVe Colloque GRETSI Traitement du Signal & des Images, GRETSI 2013, Sep 2013, Brest, France. pp.427
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Dense motion estimation between distant frames: combinatorial multi-step integration and statistical selectionIEEE International Conference on Image Processing, Sep 2013, Melbourne, Australia. pp.3429
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Objective View Synthesis Quality AssessmentStereoscopic Displays and Applications, Jan 2012, San Francisco, United States. pp.8288-56
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From optical flow to dense long term correspondencesIEEE International Conference on Image Processing, Sep 2012, Orlando, United States. pp.2680
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Multi-step flow fusion: towards accurate and dense correspondences in long video shotsBritish Machine Vision Conference, Sep 2012, Guildford, United Kingdom. pp.2012
Communication dans un congrès
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Disparity-compensated view synthesis for s3D content correctionStereoscopic Displays and Applications, Jan 2012, San Francisco, United States. pp.8288-86
Communication dans un congrès
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Method and device for processing a video sequenceFrance, Patent n° : 14305485.6-1906. 2014
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Method for generating a motion field for a video sequenceFrance, Patent n° : WO2014122131 A1. 2014
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Disparity maps in uniform areasFrance, Patent n° : US20130176300 A1. 2013
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Filtering a displacement field between video framesFrance, Patent n° : WO 2013131819 A1. 2013
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Method and apparatus for processing occlusions in motion estimationFrance, Patent n° : EP 2602997 A1. 2013
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Method and device for generating a motion field for a video sequenceFrance, Patent n° : WO2013107833 A1. 2013
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Method and apparatus for processing occlusions in motion estimationFrance, Patent n° : US20130148730 A1. 2013
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Long-term dense motion estimation and view synthesis quality assessment with application to joint stereo and motion processingSignal and Image processing. INSA de Rennes, 2014. English. ⟨NNT : ⟩
Thèse
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