Number of documents

33

Assoc. Prof. Pierre-Henri Conze, IMT Atlantique


Journal articles9 documents

  • Kamal Souadih, Ahror Belaid, Douraied Ben Salem, Pierre-Henri Conze. Automatic Forensic Identification using 3D Sphenoid Sinus Segmentation and Deep Characterization. Medical & Biological Engineering & Computing, In press. ⟨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⟩
  • 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, In press. ⟨hal-02308289⟩
  • 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⟩
  • 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⟩
  • 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, 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, 2014, pp.1057-7149. ⟨10.1109/TIP.2014.2336547⟩. ⟨hal-01076391⟩

Conference papers16 documents

  • 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. ⟨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. ⟨hal-02178409⟩
  • 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, 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⟩
  • 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. IEEE International Symphosium on Biomedical Imaging, Apr 2017, Melbourne, Australia. ⟨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.. 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, 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, 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. 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⟩
  • 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⟩
  • 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⟩
  • 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⟩

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, 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⟩
  • 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, Matthieu Fradet, Pierre-Henri Conze. Method and apparatus for processing occlusions in motion estimation. France, Patent n° : EP 2602997 A1. 2013. ⟨hal-01077720⟩

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⟩