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Number of documents

53

Assoc. Prof. Pierre-Henri Conze, IMT Atlantique


Journal articles19 documents

  • Sarah Matta, Mathieu Lamard, Pierre-Henri Conze, Alexandre Le Guilcher, Vincent Ricquebourg, et al.. Automatic screening for ocular anomalies using fundus photographs. Optometry and Vision Science, Lippincott, Williams & Wilkins, In press. ⟨hal-03337392⟩
  • Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec, Mathieu Lamard, Béatrice Cochener, et al.. Two-stage multi-scale breast mass segmentation for full mammogram analysis without user intervention. Biocybernetics and Biomedical Engineering, 2021, 41 (2), pp.746-757. ⟨10.1016/j.bbe.2021.03.005⟩. ⟨hal-03165824⟩
  • Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Béatrice Cochener, et al.. Towards improved breast mass detection using dual-view mammogram matching. Medical Image Analysis, Elsevier, 2021, ⟨10.1016/j.media.2021.102083⟩. ⟨hal-03199002⟩
  • Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub. A new conditional region growing approach for microcalcification delineation in mammograms. Medical & Biological Engineering & Computing, 2021, ⟨10.1007/s11517-021-02379-x⟩. ⟨hal-03213929⟩
  • A. Emre Kavur, N. Sinem Gezer, Mustafa Baris, Sinem Aslan, Pierre-Henri Conze, et al.. CHAOS challenge - Combined (CT-MR) healthy abdominal organ segmentation. Medical Image Analysis, Elsevier, 2021, 69, ⟨10.1016/j.media.2020.101950⟩. ⟨hal-03078835⟩
  • Gwenolé Quellec, Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, et al.. ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis. Medical Image Analysis, Elsevier, In press, ⟨10.1016/j.media.2021.102118⟩. ⟨hal-03230907⟩
  • Pierre-Henri Conze, A. Emre Kavur, Emilie Cornec-Le Gall, N. Sinem Gezer, Yannick Le Meur, et al.. Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks. Artificial Intelligence in Medicine, Elsevier, 2021, 117, pp.102109. ⟨10.1016/j.artmed.2021.102109⟩. ⟨hal-03219309⟩
  • Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub. Automatic detection of microcalcification based on morphological operations and structural similarity indices. Biocybernetics and Biomedical Engineering, 2020, 40 (3), pp.1155-1173. ⟨10.1016/j.bbe.2020.05.002⟩. ⟨hal-02563861⟩
  • Pierre-Henri Conze, Sylvain Brochard, Valerie Burdin, Frances T Sheehan-Gavelli, Christelle Pons. Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders. Computerized Medical Imaging and Graphics, Elsevier, In press, 83 (101733), ⟨10.1016/j.compmedimag.2020.101733⟩. ⟨hal-02561032⟩
  • Gwenolé Quellec, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener. Automatic detection of multiple pathologies in fundus photographs using spin-off learning. Medical Image Analysis, Elsevier, 2020, 61, ⟨10.1016/j.media.2020.101660⟩. ⟨hal-02453320⟩
  • Mahaman Sani Chaibou Salaou, Pierre-Henri Conze, Karim Kalti, Mohamed Ali Mahjoub, Basel Solaiman. Learning contextual superpixel similarity for consistent image segmentation. Multimedia Tools and Applications, Springer Verlag, 2019, ⟨10.1007/s11042-019-08391-6⟩. ⟨hal-02308289⟩
  • Kamal Souadih, Ahror Belaid, Douraied Ben Salem, Pierre-Henri Conze. Automatic forensic identification using 3D sphenoid sinus segmentation and deep characterization. Medical and Biological Engineering and Computing, Springer Verlag, 2019, ⟨10.1007/s11517-019-02050-6⟩. ⟨hal-02290892⟩
  • Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Soumali Roychowdhury, Xiaowei Hu, et al.. CATARACTS: Challenge on automatic tool annotation for cataRACT surgery. Medical Image Analysis, Elsevier, 2019, 52, pp.24-41. ⟨10.1016/j.media.2018.11.008⟩. ⟨hal-02128539⟩
  • Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwénolé Quellec. Unsupervised learning-based long-term superpixel tracking. Image and Vision Computing, Elsevier, 2019, 89, pp.289-301. ⟨10.1016/j.imavis.2019.06.011⟩. ⟨hal-02189986⟩
  • Hassan Alhajj, Mathieu Lamard, Pierre-Henri Conze, Béatrice Cochener, Gwénolé Quellec. Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks. Medical Image Analysis, Elsevier, 2018, 47, pp.203 - 218. ⟨10.1016/j.media.2018.05.001⟩. ⟨hal-02128742⟩
  • Mahaman Sani Chaibou Salaou, Pierre-Henri Conze, Karim Kalti, Basel Solaiman, Mohamed Ali Mahjoub. Adaptive strategy for superpixel-based region-growing image segmentation. Journal of Electronic Imaging, SPIE and IS&T, 2017, 26 (6), ⟨10.1117/1.JEI.26.6.061605⟩. ⟨hal-01667866⟩
  • Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Vito de Blasi, et al.. Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans. International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2017, 12 (2), pp.223 - 233. ⟨10.1007/s11548-016-1493-1⟩. ⟨hal-01573601⟩
  • Pierre-Henri Conze, Philippe Robert, Tomas Crivelli, Luce Morin. Multi-reference combinatorial strategy towards longer long-term dense motion estimation. Computer Vision and Image Understanding, Elsevier, 2016, 150, pp.66-80. ⟨10.1016/j.cviu.2016.04.013⟩. ⟨hal-01374475⟩
  • Tomas Crivelli, Matthieu Fradet, Pierre-Henri Conze, Philippe Robert, Patrick Pérez. Robust optical flow integration. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2015, 24 (1), pp.484-498. ⟨10.1109/TIP.2014.2336547⟩. ⟨hal-01076391⟩

Conference papers26 documents

  • Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec, Pascale Massin, Mathieu Lamard, et al.. Longitudinal detection of diabetic retinopathy early severity grade changes using deep learning. 8th MICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA8), Sep 2021, Strasbourg, France. ⟨hal-03300941⟩
  • Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Heng Zhang, Gwenolé Quellec, et al.. Deep active learning for dual-view mammogram analysis. International Workshop on Machine Learning in Medical Imaging, Sep 2021, Strasbourg, France. ⟨hal-03319021⟩
  • Arnaud Boutillon, Bhushan Borotikar, Christelle Pons, Valérie Burdin, Pierre-Henri Conze. Multi-structure deep segmentation with shape priors and latent adversarial regularization. ISBI 2021 : IEEE 18th International Symposium on Biomedical Imaging, Apr 2021, Nice, France. ⟨10.1109/ISBI48211.2021.9434104⟩. ⟨hal-03104429⟩
  • Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar. Multi-task, multi-domain deep segmentation with shared representations and contrastive regularization for sparse pediatric datasets. International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2021, Strasbourg, France. ⟨hal-03337397⟩
  • Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec, Mathieu Lamard, Béatrice Cochener, et al.. Two-stage multi-scale mass segmentation from full mammograms. ISBI 2021 : IEEE 18th International Symposium on Biomedical Imaging, Apr 2021, Nice, France. ⟨10.1109/ISBI48211.2021.9433946⟩. ⟨hal-03104432⟩
  • Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub. Morphological-based microcalcification detection using adaptive thresholding and structural similarity indices. ATSIP 2020 : 5th International Conference on Advanced Technologies for Signal & Image Processing, Sep 2020, Sousse, Tunisia. ⟨10.1109/ATSIP49331.2020.9231731⟩. ⟨hal-02478203⟩
  • Asma Touil, Pierre-Henri Conze, Karim Kalti, Basel Solaiman, Mohamed Ali Mahjoub. A new conditional region growing approach for an accurate detection of microcalcifications from mammographic images. BIBE 2020 : IEEE 20th International Conference on Bioinformatics And Bioengineering, Oct 2020, Cincinnati, United States. ⟨10.1109/BIBE50027.2020.00132⟩. ⟨hal-02915012⟩
  • Hicham Messaoudi, Ahror Belaid, Mohamed Lamine Allaoui, Ahcene Zetout, Mohand Said Allili, et al.. Efficient embedding network for 3D brain tumor segmentation. BrainLes 2020: International MICCAI Brain Lesion Workshop, Oct 2020, Lima, Peru. pp.252-262, ⟨10.1007/978-3-030-72084-1_23⟩. ⟨hal-03165781⟩
  • Arnaud Boutillon, Bhushan Borotikar, Valerie Burdin, Pierre-Henri Conze. Combining shape priors with conditional adversarial networks for improved scapula segmentation in MR images. ISBI 2020 : IEEE 17th International Symposium on Biomedical Imaging, Apr 2020, Iowa City, United States. ⟨10.1109/ISBI45749.2020.9098360⟩. ⟨hal-02430022⟩
  • Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Béatrice Cochener, et al.. Multi-tasking Siamese networks for breast mass detection using dual-view mammogram matching. MLMI 2020 : International Workshop on Machine Learning in Medical Imaging, Oct 2020, Lima, Peru. pp.312-321, ⟨10.1007/978-3-030-59861-7_32⟩. ⟨hal-02913535⟩
  • Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Frances T Sheehan-Gavelli, Sylvain Brochard. Deep convolutional encoder-decoders for deltoid segmentation using healthy versus pathological learning transferability. ISBI 2019: IEEE International Symposium on Biomedical Imaging, Apr 2019, Venise, Italy. ⟨10.1109/ISBI.2019.8759378⟩. ⟨hal-02121627⟩
  • Yutong Yan, Pierre-Henri Conze, Etienne Decencière, Mathieu Lamard, Gwenolé Quellec, et al.. Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammograms. IEEE International Engineering in Medicine and Biology Conference, Jul 2019, Berlin, Germany. ⟨10.1109/EMBC.2019.8857167⟩. ⟨hal-02178409⟩
  • Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwénolé Quellec. Long-term superpixel tracking using unsupervised learning and multi-step integration. ATSIP 2018 : International Conference on Advanced Technologies for Signal and Image Processing, Mar 2018, Sousse, Tunisia. ⟨10.1109/ATSIP.2018.8364453⟩. ⟨hal-02128746⟩
  • Alexandre Guerre, Mathieu Lamard, Pierre-Henri Conze, Béatrice Cochener, Gwénolé Quellec. Optical flow estimation in ocular endoscopy videos using flownet on simulated endoscopy data. ISBI 2018 : IEEE International Symposium on Biomedical Imaging, Apr 2018, Washington, United States. pp.1463 - 1466, ⟨10.1109/ISBI.2018.8363848⟩. ⟨hal-02128752⟩
  • Florian Tilquin, Pierre-Henri Conze, Patrick Pessaux, Mathieu Lamard, Gwénolé Quellec, et al.. Robust supervoxel matching combining mid-level spectral and context-rich features. Patch-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⟩. ⟨hal-02128575⟩
  • Pierre-Henri Conze, Florian Tilquin, Vincent Noblet, François Rousseau, Fabrice Heitz, et al.. Hierarchical Multi-Scale Supervoxel Matching using Random Forests for Automatic Semi-Dense Abdominal Image Registration. ISBI 2017 : IEEE 14th International Symphosium on Biomedical Imaging, Apr 2017, Melbourne, Australia. ⟨10.1109/ISBI.2017.7950567⟩. ⟨hal-01465421⟩
  • Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Riccardo Memeo, et al.. 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. ⟨hal-01284631⟩
  • Pierre-Henri Conze, François Rousseau, Vincent Noblet, Fabrice Heitz, Riccardo Memeo, et al.. Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels. 6th 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⟩. ⟨hal-01214060⟩
  • Pierre-Henri Conze, François Rousseau, Vincent Noblet, Fabrice Heitz, Riccardo Memeo, et al.. Segmentation semi-automatique de tumeurs du foie en TDM dynamique pour l'estimation du taux de nécrose. Colloque GRETSI Traitement du Signal & des Images, GRETSI 2015, Sep 2015, Lyon, France. ⟨hal-01214068⟩
  • Pierre-Henri Conze, Philippe Robert, Tomas Crivelli, Luce Morin. Dense long-term motion estimation via Statistical Multi-Step Flow. International Conference on Computer Vision Theory and Applications, Jan 2014, Lisbon, Portugal. pp.138. ⟨hal-00910831⟩
  • Pierre-Henri Conze, Tomas Crivelli, Philippe Robert, Luce Morin. Dense motion estimation between distant frames: combinatorial multi-step integration and statistical selection. IEEE International Conference on Image Processing, Sep 2013, Melbourne, Australia. pp.3429. ⟨hal-00868251⟩
  • Pierre-Henri Conze, Tomas Crivelli, Philippe Robert, Luce Morin. Estimation de mouvement dense entre images distantes : intégration combinatoire multi-steps et sélection statistique. XXIVe Colloque GRETSI Traitement du Signal & des Images, GRETSI 2013, Sep 2013, Brest, France. pp.427. ⟨hal-00859688⟩
  • Philippe Robert, Cédric Thébault, Pierre-Henri Conze. Disparity-compensated view synthesis for s3D content correction. Stereoscopic Displays and Applications, Jan 2012, San Francisco, United States. pp.8288-86. ⟨hal-00787332v2⟩
  • Pierre-Henri Conze, Philippe Robert, Luce Morin. Objective View Synthesis Quality Assessment. Stereoscopic Displays and Applications, Jan 2012, San Francisco, United States. pp.8288-56. ⟨hal-00681304v2⟩
  • Tomas Crivelli, Pierre-Henri Conze, Philippe Robert, Patrick Pérez. From optical flow to dense long term correspondences. IEEE International Conference on Image Processing, Sep 2012, Orlando, United States. pp.2680. ⟨hal-00787772⟩
  • Tomas Crivelli, Pierre-Henri Conze, Philippe Robert, Matthieu Fradet, Patrick Pérez. Multi-step flow fusion: towards accurate and dense correspondences in long video shots. British Machine Vision Conference, Sep 2012, Guildford, United Kingdom. pp.2012. ⟨hal-00787768⟩

Patents7 documents

  • Philippe Robert, Pierre-Henri Conze, Tomas Crivelli. Method and device for processing a video sequence. France, Patent n° : 14305485.6-1906. 2014. ⟨hal-01076394⟩
  • Pierre-Henri Conze, Philippe Robert, Tomas Crivelli, Luce Morin. Method for generating a motion field for a video sequence. France, Patent n° : WO2014122131 A1. 2014. ⟨hal-01076396⟩
  • Philippe Robert, Matthieu Fradet, Pierre-Henri Conze. Method and apparatus for processing occlusions in motion estimation. France, Patent n° : EP 2602997 A1. 2013. ⟨hal-01077720⟩
  • Philippe Robert, Matthieu Fradet, Pierre-Henri Conze. Method and apparatus for processing occlusions in motion estimation. France, Patent n° : US20130148730 A1. 2013. ⟨hal-01077120⟩
  • Philippe Robert, Tomas Crivelli, Pierre-Henri Conze. Method and device for generating a motion field for a video sequence. France, Patent n° : WO2013107833 A1. 2013. ⟨hal-01077717⟩
  • Philippe Robert, Valter Drazic, Pierre-Henri Conze, Viellard Thierry. Disparity maps in uniform areas. France, Patent n° : US20130176300 A1. 2013. ⟨hal-01077743⟩
  • Philippe Robert, Tomas Crivelli, Pierre-Henri Conze, Matthieu Fradet, Patrick Pérez. Filtering a displacement field between video frames. France, Patent n° : WO 2013131819 A1. 2013. ⟨hal-01077746⟩

Theses1 document

  • Pierre-Henri Conze. Long-term dense motion estimation and view synthesis quality assessment with application to joint stereo and motion processing. Signal and Image processing. INSA de Rennes, 2014. English. ⟨tel-00992940v2⟩