Pierre-Henri Conze

Documents

Publications

	DISCOVER: 2-D multiview summarization of optical coherence tomography angiography for automatic diabetic retinopathy diagnosis Mostafa El Habib Daho , Yihao Li , Rachid Zeghlache , Hugo Le Boité , Pierre Deman Artificial Intelligence in Medicine, 2024, 149 (March), pp.102803. ⟨10.1016/j.artmed.2024.102803⟩ Article dans une revue hal-04437753v1
	Improving abdominal image segmentation with overcomplete shape priors Amine Sadikine , Bogdan Badic , Jean-Pierre Tasu , Vincent Noblet , Pascal Ballet Computerized Medical Imaging and Graphics, 2024, 113 (April), pp.102356. ⟨10.1016/j.compmedimag.2024.102356⟩ Article dans une revue hal-04443431v1
	Dual-task kidney MR segmentation with Transformers in autosomal-dominant polycystic kidney disease Pierre-Henri Conze , Gustavo Andrade-Miranda , Yannick Lemeur , Emilie Cornec-Le Gall , François Rousseau Computerized Medical Imaging and Graphics, 2024, 113 (April), pp.102349. ⟨10.1016/j.compmedimag.2024.102349⟩ Article dans une revue hal-04439964v1
	Current and emerging trends in medical image segmentation with deep learning Pierre-Henri Conze , Gustavo Andrade-Miranda , Vivek Kumar Singh , Vincent Jaouen , Dimitris Visvikis IEEE Transactions on Radiation and Plasma Medical Sciences, 2023, 7 (6), pp.545-569. ⟨10.1109/TRPMS.2023.3265863⟩ Article dans une revue hal-04075794v1
	Quantitative gait analysis and prediction using artificial intelligence for patients with gait disorders Nawel Ben Chaabane , Pierre-Henri Conze , Mathieu Lempereur , Gwenolé Quellec , Olivier Rémy-Néris Scientific Reports, inPress Article dans une revue hal-04342442v1
	Current and emerging trends in medical image segmentation with deep learning Pierre-Henri Conze , Gustavo Andrade-Miranda , Vivek Kumar Singh , Vincent Jaouen , Dimitris Visvikis IEEE Transactions on Radiation and Plasma Medical Sciences, 2023, 7 (6), ⟨10.1109/TRPMS.2023.3265863⟩ Article dans une revue hal-04061062v1
	Semi-automatic muscle segmentation in MR images using deep registration-based label propagation Nathan Decaux , Pierre-Henri Conze , Juliette Ropars , Xinyan He , Frances T Sheehan Pattern Recognition, 2023, 140 (August 2023), pp.109529. ⟨10.1016/j.patcog.2023.109529⟩ Article dans une revue hal-03945559v2
	Contrastive image adaptation for acquisition shift reduction in medical imaging Clément Hognon , Pierre-Henri Conze , Vincent Bourbonne , Olivier Gallinato , Thierry Colin Artificial Intelligence in Medicine, inPress Article dans une revue hal-04334344v1
	Towards population-independent, multi-disease detection in fundus photographs Sarah Matta , Mathieu Lamard , Pierre-Henri Conze , Alexandre Le Guilcher , Clément Lecat Scientific Reports, 2023, 13, pp.11493. ⟨10.1038/s41598-023-38610-y⟩ Article dans une revue hal-04159340v1
	Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology Gustavo Andrade-Miranda , Vincent Jaouen , Olena Tankyevych , Catherine Cheze Le Rest , Dimitris Visvikis Computerized Medical Imaging and Graphics, 2023, 110, pp.102308. ⟨10.1016/j.compmedimag.2023.102308⟩ Article dans une revue hal-04266909v1
	Hybrid fusion of high-resolution and ultra-widefield OCTA acquisitions for the automatic diagnosis of diabetic retinopathy Yihao Li , Mostafa El Habib Daho , Pierre-Henri Conze , Rachid Zeghlache , Hugo Le Boité Diagnostics, 2023, 13 (17), pp.2770. ⟨10.3390/diagnostics13172770⟩ Article dans une revue hal-04186910v1
	Cross-dimensional transfer learning in medical image segmentation with deep learning Hicham Messaoudi , Ahror Belaid , Douraied Ben Salem , Pierre-Henri Conze Medical Image Analysis, 2023, 88 (August), pp.102868. ⟨10.1016/j.media.2023.102868⟩ Article dans une revue hal-04122912v1
	Fast and low-GPU-memory abdomen CT organ segmentation: The FLARE challenge Jun Ma , Yao Zhang , Song Gu , Xingle An , Zhihe Wang Medical Image Analysis, 2022, 82 (November), pp.102616. ⟨10.1016/j.media.2022.102616⟩ Article dans une revue hal-03768412v1
	A new collaborative classification process for microcalcification detection based on graphs and knowledge propagation Asma Touil , Karim Kalti , Pierre-Henri Conze , Basel Solaiman , Mohamed Ali Mahjoub Journal of Digital Imaging, 2022, ⟨10.1007/s10278-022-00678-9⟩ Article dans une revue hal-03683796v1
	Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network Arnaud Boutillon , Bhushan Borotikar , Valérie Burdin , Pierre-Henri Conze Artificial Intelligence in Medicine, 2022, 132, pp.102364. ⟨10.1016/j.artmed.2022.102364⟩ Article dans une revue hal-03719567v1
	Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors Arnaud Boutillon , Pierre-Henri Conze , Christelle Pons , Valérie Burdin , Bhushan Borotikar Medical Image Analysis, 2022, 81, pp.102556. ⟨10.1016/j.media.2022.102556⟩ Article dans une revue hal-03736364v1
	Two-stage multi-scale breast mass segmentation for full mammogram analysis without user intervention Yutong Yan , Pierre-Henri Conze , Gwenolé Quellec , Mathieu Lamard , Béatrice Cochener Biocybernetics and Biomedical Engineering, 2021, 41 (2), pp.746-757. ⟨10.1016/j.bbe.2021.03.005⟩ Article dans une revue hal-03165824v1
	CHAOS challenge - Combined (CT-MR) healthy abdominal organ segmentation A. Emre Kavur , N. Sinem Gezer , Mustafa Baris , Sinem Aslan , Pierre-Henri Conze Medical Image Analysis, 2021, 69, ⟨10.1016/j.media.2020.101950⟩ Article dans une revue hal-03078835v1
	Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks Pierre-Henri Conze , A. Emre Kavur , Emilie Cornec-Le Gall , N. Sinem Gezer , Yannick Le Meur Artificial Intelligence in Medicine, 2021, 117, pp.102109. ⟨10.1016/j.artmed.2021.102109⟩ Article dans une revue hal-03219309v1
	A new conditional region growing approach for microcalcification delineation in mammograms Asma Touil , Karim Kalti , Pierre-Henri Conze , Basel Solaiman , Mohamed Ali Mahjoub Medical and Biological Engineering and Computing, 2021, ⟨10.1007/s11517-021-02379-x⟩ Article dans une revue hal-03213929v1
	Automatic screening for ocular anomalies using fundus photographs Sarah Matta , Mathieu Lamard , Pierre-Henri Conze , Alexandre Le Guilcher , Vincent Ricquebourg Optometry and Vision Science, 2021, ⟨10.1097/OPX.0000000000001845⟩ Article dans une revue hal-03337392v1
	Towards improved breast mass detection using dual-view mammogram matching Yutong Yan , Pierre-Henri Conze , Mathieu Lamard , Gwenolé Quellec , Béatrice Cochener Medical Image Analysis, 2021, 102083, ⟨10.1016/j.media.2021.102083⟩ Article dans une revue hal-03199002v1
	ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis Gwenolé Quellec , Hassan Al Hajj , Mathieu Lamard , Pierre-Henri Conze , Pascale Massin Medical Image Analysis, inPress, ⟨10.1016/j.media.2021.102118⟩ Article dans une revue hal-03230907v1
	Automatic detection of multiple pathologies in fundus photographs using spin-off learning Gwenolé Quellec , Mathieu Lamard , Pierre-Henri Conze , Pascale Massin , Béatrice Cochener Medical Image Analysis, 2020, 61, ⟨10.1016/j.media.2020.101660⟩ Article dans une revue hal-02453320v1
	Automatic detection of microcalcification based on morphological operations and structural similarity indices Asma Touil , Karim Kalti , Pierre-Henri Conze , Basel Solaiman , Mohamed Ali Mahjoub Biocybernetics and Biomedical Engineering, 2020, 40 (3), pp.1155-1173. ⟨10.1016/j.bbe.2020.05.002⟩ Article dans une revue hal-02563861v1
	Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders Pierre-Henri Conze , Sylvain Brochard , Valérie Burdin , Frances T Sheehan-Gavelli , Christelle Pons Computerized Medical Imaging and Graphics, 2020, 83 (101733), ⟨10.1016/j.compmedimag.2020.101733⟩ Article dans une revue hal-02561032v1
	Automatic forensic identification using 3D sphenoid sinus segmentation and deep characterization Kamal Souadih , Ahror Belaid , Douraied Ben Salem , Pierre-Henri Conze Medical and Biological Engineering and Computing, 2019, ⟨10.1007/s11517-019-02050-6⟩ Article dans une revue hal-02290892v1
	Learning contextual superpixel similarity for consistent image segmentation Mahaman Sani Chaibou Salaou , Pierre-Henri Conze , Karim Kalti , Mohamed Ali Mahjoub , Basel Solaiman Multimedia Tools and Applications, 2019, ⟨10.1007/s11042-019-08391-6⟩ Article dans une revue hal-02308289v1
	CATARACTS: Challenge on automatic tool annotation for cataRACT surgery Hassan Al Hajj , Mathieu Lamard , Pierre-Henri Conze , Soumali Roychowdhury , Xiaowei Hu Medical Image Analysis, 2019, 52, pp.24-41. ⟨10.1016/j.media.2018.11.008⟩ Article dans une revue hal-02128539v1
	Unsupervised learning-based long-term superpixel tracking Pierre-Henri Conze , Florian Tilquin , Mathieu Lamard , Fabrice Heitz , Gwénolé Quellec Image and Vision Computing, 2019, 89, pp.289-301. ⟨10.1016/j.imavis.2019.06.011⟩ Article dans une revue hal-02189986v1
	Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks Hassan Alhajj , Mathieu Lamard , Pierre-Henri Conze , Béatrice Cochener , Gwénolé Quellec Medical Image Analysis, 2018, 47, pp.203 - 218. ⟨10.1016/j.media.2018.05.001⟩ Article dans une revue hal-02128742v1
	Adaptive strategy for superpixel-based region-growing image segmentation Mahaman Sani Chaibou Salaou , Pierre-Henri Conze , Karim Kalti , Basel Solaiman , Mohamed Ali Mahjoub Journal of Electronic Imaging, 2017, 26 (6), ⟨10.1117/1.JEI.26.6.061605⟩ Article dans une revue hal-01667866v1
	Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans Pierre-Henri Conze , Vincent Noblet , François Rousseau , Fabrice Heitz , Vito de Blasi International Journal of Computer Assisted Radiology and Surgery, 2017, 12 (2), pp.223 - 233. ⟨10.1007/s11548-016-1493-1⟩ Article dans une revue hal-01573601v1
	Multi-reference combinatorial strategy towards longer long-term dense motion estimation Pierre-Henri Conze , Philippe Robert , Tomas Crivelli , Luce Morin Computer Vision and Image Understanding, 2016, 150, pp.66-80. ⟨10.1016/j.cviu.2016.04.013⟩ Article dans une revue hal-01374475v1
	Robust optical flow integration Tomas Crivelli , Matthieu Fradet , Pierre-Henri Conze , Philippe Robert , Patrick Pérez IEEE Transactions on Image Processing, 2015, 24 (1), pp.484-498. ⟨10.1109/TIP.2014.2336547⟩ Article dans une revue hal-01076391v1

	One-sided unsupervised medical image synthesis with normalized edge consistency Vincent Jaouen , Pierre-Henri Conze , Dimitris Visvikis IEEE International Symposium on Biomedical Imaging, May 2024, Athens, Greece Communication dans un congrès hal-04437751v1
	Deep vessel segmentation with joint multi-prior encoding Amine Sadikine , Bogdan Badic , Enzo Ferrante , Vincent Noblet , Pascal Ballet IEEE 21th International Symposium on Biomedical Imaging, May 2024, Athens, Greece Communication dans un congrès hal-04454062v1
	Learning transferability in deep segmentation of liver metastases Marwan Abbas , Gustavo Andrade-Miranda , Vincent Bourbonne , Dimitris Visvikis , Bogdan Badic IEEE International Symposium on Biomedical Imaging, May 2024, Athens, Greece Communication dans un congrès hal-04454053v1
	Multi-modal PET/CT fusion for automated PD-L1 status prediction in lung cancer Ronrick Da-Ano , Olena Tankyevych , Gustavo Andrade-Miranda , Pierre-Henri Conze , Catherine Cheze Le Rest IEEE International Symposium on Biomedical Imaging, May 2024, Athens, Greece Communication dans un congrès hal-04454064v1
	LMT: Longitudinal mixing training, a framework for the prediction of disease progression using a single image Rachid Zeghlache , Pierre-Henri Conze , Mostafa El Habib Daho , Yihao Li , Hugo Le Boité International Workshop on Machine Learning in Medical Imaging, Oct 2023, Vancouver, Canada Communication dans un congrès hal-04183655v1
	Scale-specific auxiliary multi-task contrastive learning for deep liver vessel segmentation Amine Sadikine , Bogdan Badic , Jean-Pierre Tasu , Vincent Noblet , Pascal Ballet ISBI 2023: IEEE 20th International Symposium on Biomedical Imaging, Apr 2023, Cartagena de Indias, Colombia. ⟨10.1109/ISBI53787.2023.10230364⟩ Communication dans un congrès hal-03953223v1
	Gait deviation change prediction for patients with gait disorders using artificial intelligence Nawel Ben Chaabane , Pierre-Henri Conze , Mathieu Lempereur , Olivier Rémy-Néris , Sylvain Brochard IEEE Engineering in Medicine and Biology Conference, Jul 2023, Sydney, Australia Communication dans un congrès hal-04065712v1
	Self super resolution for hepatic vessel CT segmentation Vincent Jaouen , Ziqiao Wang , Pierre-Henri Conze , Dimitris Visvikis 2023 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⟩ Communication dans un congrès hal-04470666v1
	Longitudinal self-supervised learning using neural ordinary differential equation Rachid Zeghlache , Pierre-Henri Conze , Mostafa El Habib Daho , Yihao Li , Hugo Le Boité International Workshop on Predictive Intelligence in Medicine, Oct 2023, Vancouver (Canada), Canada Communication dans un congrès hal-04171357v1
	Improved automatic diabetic retinopathy severity classification using deep multimodal fusion of UWF-CFP and OCTA images Mostafa El Habib Daho , Yihao Li , Rachid Zeghlache , Yapo Cédric Atse , Hugo Le Boité Ophthalmic Medical Image Analysis Workshop, Oct 2023, Vancouver (Canada), Canada Communication dans un congrès hal-04169377v1
	Detection of diabetic retinopathy using longitudinal self-supervised learning Rachid Zeghlache , Pierre-Henri Conze , Mostafa El Habib Daho , Ramin Tadayoni , Pascale Massin MICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA), Sep 2022, Singapore, Singapore Communication dans un congrès hal-03737495v1
	Mapping the ocular surface from monocular videos with an application to dry eye disease grading Ikram Brahim , Mathieu Lamard , Anas-Alexis Benyoussef , Pierre-Henri Conze , Béatrice Cochener MICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA), Sep 2022, Singapore, Singapore Communication dans un congrès hal-03737790v1
	Detection of Diabetic Retinopathy Using Longitudinal Self-supervised Learning Rachid Zeghlache , Pierre-Henri Conze , Mostafa El Habib Daho , Ramin Tadayoni , Pascal Massin OMIA 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 hal-04504392v1
	Deep treatment response assessment and prediction of colorectal cancer liver metastases Mohammad Mohaiminul Islam , Bogdan Badic , Thomas Aparicio , David Tougeron , Jean-Pierre Tasu MICCAI 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 hal-03705507v1
	Comparing modern segmentation architectures under low data regime for PET-CT tumor segmentation Gustavo Andrade-Miranda , Vincent Jaouen , Dimitris Visvikis , Pierre-Henri Conze NSM MIC 2022: IEEE Nuclear science symposium and medical imaging conference, Nov 2022, Milan, Italy Communication dans un congrès hal-04040739v1
	Pure versus hybrid Transformers for multi-modal brain tumor segmentation: a comparative study Gustavo Andrade-Miranda , Vincent Jaouen , Vincent Bourbonne , François Lucia , Dimitris Visvikis IEEE International Conference on Image Processing, Oct 2022, Bordeaux, France. ⟨10.1109/ICIP46576.2022.9897658⟩ Communication dans un congrès hal-03706627v1
	Intégration d'à priori de forme semi-surcomplets pour la segmentation automatique du système vasculaire Amine Sadikine , Bogdan Badic , Jean-Pierre Tasu , Vincent Noblet , Dimitris Visvikis RITS, ISFGBM, May 2022, Brest, France Communication dans un congrès hal-04406111v1
	Semi-overcomplete convolutional auto-encoder embedding as shape priors for deep vessel segmentation Amine Sadikine , Bogdan Badic , Jean-Pierre Tasu , Vincent Noblet , Dimitris Visvikis IEEE International Conference on Image Processing, Oct 2022, Bordeaux, France. ⟨10.1109/ICIP46576.2022.9897188⟩ Communication dans un congrès hal-03706629v1
	Multimodal information fusion for glaucoma and diabetic retinopathy classification Yihao Li , Mostafa El Habib Daho , Pierre-Henri Conze , Hassan Alhajj , Sophie Bonnin MICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA), Sep 2022, Singapore, Singapore Communication dans un congrès hal-03737508v1
	Multi-task, multi-domain deep segmentation with shared representations and contrastive regularization for sparse pediatric datasets Arnaud Boutillon , Pierre-Henri Conze , Christelle Pons , Valérie Burdin , Bhushan Borotikar MICCAI 2021: International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2021, Strasbourg, France. ⟨10.1007/978-3-030-87193-2_23⟩ Communication dans un congrès hal-03337397v1
	Synthetic tumor insertion using one-shot generative learning for cross-modal image segmentation Guillaume Sallé , Pierre-Henri Conze , Nicolas Boussion , Julien Bert , Dimitris Visvikis IEEE Nuclear science symposium and medical imaging conference 2021, Oct 2021, Virtual, Japan Communication dans un congrès hal-03666614v1
	Longitudinal detection of diabetic retinopathy early severity grade changes using deep learning Yutong Yan , Pierre-Henri Conze , Gwenolé Quellec , Pascale Massin , Mathieu Lamard OMIA 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 hal-03300941v1
	Deep active learning for dual-view mammogram analysis Yutong Yan , Pierre-Henri Conze , Mathieu Lamard , Heng Zhang , Gwenolé Quellec International Workshop on Machine Learning in Medical Imaging, Sep 2021, Strasbourg, France Communication dans un congrès hal-03319021v1
	Multi-structure deep segmentation with shape priors and latent adversarial regularization Arnaud Boutillon , Bhushan Borotikar , Christelle Pons , Valérie Burdin , Pierre-Henri Conze ISBI 2021 : IEEE 18th International Symposium on Biomedical Imaging, Apr 2021, Nice, France. ⟨10.1109/ISBI48211.2021.9434104⟩ Communication dans un congrès hal-03104429v1
	Two-stage multi-scale mass segmentation from full mammograms Yutong Yan , Pierre-Henri Conze , Gwenolé Quellec , Mathieu Lamard , Béatrice Cochener ISBI 2021 : IEEE 18th International Symposium on Biomedical Imaging, Apr 2021, Nice, France. ⟨10.1109/ISBI48211.2021.9433946⟩ Communication dans un congrès hal-03104432v1
	Synthèse de tumeurs par modèle génératif one-shot pour la segmentation inter-modale en imagerie médicale Guillaume Sallé , Pierre-Henri Conze , Nicolas Boussion , Julien Bert , Dimitris Visvikis ORASIS 2021, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France Communication dans un congrès hal-03339729v1
	Efficient embedding network for 3D brain tumor segmentation Hicham Messaoudi , Ahror Belaid , Mohamed Lamine Allaoui , Ahcene Zetout , Mohand Said Allili BrainLes 2020: International MICCAI Brain Lesion Workshop, Oct 2020, Lima, Peru. pp.252-262, ⟨10.1007/978-3-030-72084-1_23⟩ Communication dans un congrès hal-03165781v1
	Combining shape priors with conditional adversarial networks for improved scapula segmentation in MR images Arnaud Boutillon , Bhushan Borotikar , Valérie Burdin , Pierre-Henri Conze ISBI 2020 : IEEE 17th International Symposium on Biomedical Imaging, Apr 2020, Iowa City, United States. ⟨10.1109/ISBI45749.2020.9098360⟩ Communication dans un congrès hal-02430022v1
	Multi-tasking Siamese networks for breast mass detection using dual-view mammogram matching Yutong Yan , Pierre-Henri Conze , Mathieu Lamard , Gwenolé Quellec , Béatrice Cochener 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⟩ Communication dans un congrès hal-02913535v1
	Morphological-based microcalcification detection using adaptive thresholding and structural similarity indices Asma Touil , Karim Kalti , Pierre-Henri Conze , Basel Solaiman , Mohamed Ali Mahjoub ATSIP 2020 : 5th International Conference on Advanced Technologies for Signal & Image Processing, Sep 2020, Sousse, Tunisia. ⟨10.1109/ATSIP49331.2020.9231731⟩ Communication dans un congrès hal-02478203v1
	A new conditional region growing approach for an accurate detection of microcalcifications from mammographic images Asma Touil , Pierre-Henri Conze , Karim Kalti , Basel Solaiman , Mohamed Ali Mahjoub BIBE 2020 : IEEE 20th International Conference on Bioinformatics And Bioengineering, Oct 2020, Cincinnati, United States. ⟨10.1109/BIBE50027.2020.00132⟩ Communication dans un congrès hal-02915012v1
	Deep convolutional encoder-decoders for deltoid segmentation using healthy versus pathological learning transferability Pierre-Henri Conze , Christelle Pons , Valérie Burdin , Frances T Sheehan-Gavelli , Sylvain Brochard ISBI 2019: IEEE International Symposium on Biomedical Imaging, Apr 2019, Venise, Italy. ⟨10.1109/ISBI.2019.8759378⟩ Communication dans un congrès hal-02121627v1
	Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammograms Yutong Yan , Pierre-Henri Conze , Etienne Decencière , Mathieu Lamard , Gwenolé Quellec IEEE International Engineering in Medicine and Biology Conference, Jul 2019, Berlin, Germany. ⟨10.1109/EMBC.2019.8857167⟩ Communication dans un congrès hal-02178409v1
	Robust supervoxel matching combining mid-level spectral and context-rich features Florian Tilquin , Pierre-Henri Conze , Patrick Pessaux , Mathieu Lamard , Gwénolé Quellec 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⟩ Communication dans un congrès hal-02128575v1
	Optical flow estimation in ocular endoscopy videos using flownet on simulated endoscopy data Alexandre Guerre , Mathieu Lamard , Pierre-Henri Conze , Béatrice Cochener , Gwénolé Quellec ISBI 2018 : IEEE International Symposium on Biomedical Imaging, Apr 2018, Washington, United States. pp.1463 - 1466, ⟨10.1109/ISBI.2018.8363848⟩ Communication dans un congrès hal-02128752v1
	Long-term superpixel tracking using unsupervised learning and multi-step integration Pierre-Henri Conze , Florian Tilquin , Mathieu Lamard , Fabrice Heitz , Gwénolé Quellec ATSIP 2018 : International Conference on Advanced Technologies for Signal and Image Processing, Mar 2018, Sousse, Tunisia. ⟨10.1109/ATSIP.2018.8364453⟩ Communication dans un congrès hal-02128746v1
	Hierarchical Multi-Scale Supervoxel Matching using Random Forests for Automatic Semi-Dense Abdominal Image Registration Pierre-Henri Conze , Florian Tilquin , Vincent Noblet , François Rousseau , Fabrice Heitz ISBI 2017 : IEEE 14th International Symphosium on Biomedical Imaging, Apr 2017, Melbourne, Australia. ⟨10.1109/ISBI.2017.7950567⟩ Communication dans un congrès hal-01465421v1
	Random Forests on Hierarchical Multi-Scale Supervoxels for Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans. Pierre-Henri Conze , Vincent Noblet , François Rousseau , Fabrice Heitz , Riccardo Memeo International Symposium on Biomedical Imaging, Apr 2016, Prague, Czech Republic Communication dans un congrès hal-01284631v1
	Segmentation semi-automatique de tumeurs du foie en TDM dynamique pour l'estimation du taux de nécrose Pierre-Henri Conze , François Rousseau , Vincent Noblet , Fabrice Heitz , Riccardo Memeo Colloque GRETSI Traitement du Signal & des Images, GRETSI 2015, Sep 2015, Lyon, France Communication dans un congrès hal-01214068v1
	Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels Pierre-Henri Conze , François Rousseau , Vincent Noblet , Fabrice Heitz , Riccardo Memeo 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⟩ Communication dans un congrès hal-01214060v1
	Dense long-term motion estimation via Statistical Multi-Step Flow Pierre-Henri Conze , Philippe Robert , Tomas Crivelli , Luce Morin International Conference on Computer Vision Theory and Applications, Jan 2014, Lisbon, Portugal. pp.138 Communication dans un congrès hal-00910831v1
	Estimation de mouvement dense entre images distantes : intégration combinatoire multi-steps et sélection statistique Pierre-Henri Conze , Tomas Crivelli , Philippe Robert , Luce Morin XXIVe Colloque GRETSI Traitement du Signal & des Images, GRETSI 2013, Sep 2013, Brest, France. pp.427 Communication dans un congrès hal-00859688v1
	Dense motion estimation between distant frames: combinatorial multi-step integration and statistical selection Pierre-Henri Conze , Tomas Crivelli , Philippe Robert , Luce Morin IEEE International Conference on Image Processing, Sep 2013, Melbourne, Australia. pp.3429 Communication dans un congrès hal-00868251v1
	Multi-step flow fusion: towards accurate and dense correspondences in long video shots Tomas Crivelli , Pierre-Henri Conze , Philippe Robert , Matthieu Fradet , Patrick Pérez British Machine Vision Conference, Sep 2012, Guildford, United Kingdom. pp.2012 Communication dans un congrès hal-00787768v1
	Disparity-compensated view synthesis for s3D content correction Philippe Robert , Cédric Thébault , Pierre-Henri Conze Stereoscopic Displays and Applications, Jan 2012, San Francisco, United States. pp.8288-86 Communication dans un congrès hal-00787332v2
	From optical flow to dense long term correspondences Tomas Crivelli , Pierre-Henri Conze , Philippe Robert , Patrick Pérez IEEE International Conference on Image Processing, Sep 2012, Orlando, United States. pp.2680 Communication dans un congrès hal-00787772v1
	Objective View Synthesis Quality Assessment Pierre-Henri Conze , Philippe Robert , Luce Morin Stereoscopic Displays and Applications, Jan 2012, San Francisco, United States. pp.8288-56 Communication dans un congrès hal-00681304v2

	Method and device for processing a video sequence Philippe Robert , Pierre-Henri Conze , Tomas Crivelli France, Patent n° : 14305485.6-1906. 2014 Brevet hal-01076394v1
	Method for generating a motion field for a video sequence Pierre-Henri Conze , Philippe Robert , Tomas Crivelli , Luce Morin France, Patent n° : WO2014122131 A1. 2014 Brevet hal-01076396v1
	Filtering a displacement field between video frames Philippe Robert , Tomas Crivelli , Pierre-Henri Conze , Matthieu Fradet , Patrick Pérez France, Patent n° : WO 2013131819 A1. 2013 Brevet hal-01077746v1
	Method and apparatus for processing occlusions in motion estimation Philippe Robert , Matthieu Fradet , Pierre-Henri Conze France, Patent n° : EP 2602997 A1. 2013 Brevet hal-01077720v1
	Disparity maps in uniform areas Philippe Robert , Valter Drazic , Pierre-Henri Conze , Viellard Thierry France, Patent n° : US20130176300 A1. 2013 Brevet hal-01077743v1
	Method and apparatus for processing occlusions in motion estimation Philippe Robert , Matthieu Fradet , Pierre-Henri Conze France, Patent n° : US20130148730 A1. 2013 Brevet hal-01077120v1
	Method and device for generating a motion field for a video sequence Philippe Robert , Tomas Crivelli , Pierre-Henri Conze France, Patent n° : WO2013107833 A1. 2013 Brevet hal-01077717v1

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

Pierre-Henri Conze

Publications

DISCOVER: 2-D multiview summarization of optical coherence tomography angiography for automatic diabetic retinopathy diagnosis

Improving abdominal image segmentation with overcomplete shape priors

Dual-task kidney MR segmentation with Transformers in autosomal-dominant polycystic kidney disease

Current and emerging trends in medical image segmentation with deep learning

Quantitative gait analysis and prediction using artificial intelligence for patients with gait disorders

Current and emerging trends in medical image segmentation with deep learning

Semi-automatic muscle segmentation in MR images using deep registration-based label propagation

Contrastive image adaptation for acquisition shift reduction in medical imaging

Towards population-independent, multi-disease detection in fundus photographs

Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology

Hybrid fusion of high-resolution and ultra-widefield OCTA acquisitions for the automatic diagnosis of diabetic retinopathy

Cross-dimensional transfer learning in medical image segmentation with deep learning

Fast and low-GPU-memory abdomen CT organ segmentation: The FLARE challenge

A new collaborative classification process for microcalcification detection based on graphs and knowledge propagation

Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network

Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors

Two-stage multi-scale breast mass segmentation for full mammogram analysis without user intervention

CHAOS challenge - Combined (CT-MR) healthy abdominal organ segmentation

Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks

A new conditional region growing approach for microcalcification delineation in mammograms

Automatic screening for ocular anomalies using fundus photographs

Towards improved breast mass detection using dual-view mammogram matching

ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis

Automatic detection of multiple pathologies in fundus photographs using spin-off learning

Automatic detection of microcalcification based on morphological operations and structural similarity indices

Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders

Automatic forensic identification using 3D sphenoid sinus segmentation and deep characterization

Learning contextual superpixel similarity for consistent image segmentation

CATARACTS: Challenge on automatic tool annotation for cataRACT surgery

Unsupervised learning-based long-term superpixel tracking

Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks

Adaptive strategy for superpixel-based region-growing image segmentation

Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans

Multi-reference combinatorial strategy towards longer long-term dense motion estimation

Robust optical flow integration

One-sided unsupervised medical image synthesis with normalized edge consistency

Deep vessel segmentation with joint multi-prior encoding

Learning transferability in deep segmentation of liver metastases

Multi-modal PET/CT fusion for automated PD-L1 status prediction in lung cancer

LMT: Longitudinal mixing training, a framework for the prediction of disease progression using a single image

Scale-specific auxiliary multi-task contrastive learning for deep liver vessel segmentation

Gait deviation change prediction for patients with gait disorders using artificial intelligence

Self super resolution for hepatic vessel CT segmentation

Longitudinal self-supervised learning using neural ordinary differential equation

Improved automatic diabetic retinopathy severity classification using deep multimodal fusion of UWF-CFP and OCTA images

Detection of diabetic retinopathy using longitudinal self-supervised learning

Mapping the ocular surface from monocular videos with an application to dry eye disease grading

Detection of Diabetic Retinopathy Using Longitudinal Self-supervised Learning

Deep treatment response assessment and prediction of colorectal cancer liver metastases

Comparing modern segmentation architectures under low data regime for PET-CT tumor segmentation

Pure versus hybrid Transformers for multi-modal brain tumor segmentation: a comparative study

Intégration d'à priori de forme semi-surcomplets pour la segmentation automatique du système vasculaire

Semi-overcomplete convolutional auto-encoder embedding as shape priors for deep vessel segmentation

Multimodal information fusion for glaucoma and diabetic retinopathy classification

Multi-task, multi-domain deep segmentation with shared representations and contrastive regularization for sparse pediatric datasets

Synthetic tumor insertion using one-shot generative learning for cross-modal image segmentation

Longitudinal detection of diabetic retinopathy early severity grade changes using deep learning

Deep active learning for dual-view mammogram analysis

Multi-structure deep segmentation with shape priors and latent adversarial regularization

Two-stage multi-scale mass segmentation from full mammograms

Synthèse de tumeurs par modèle génératif one-shot pour la segmentation inter-modale en imagerie médicale

Efficient embedding network for 3D brain tumor segmentation

Combining shape priors with conditional adversarial networks for improved scapula segmentation in MR images

Multi-tasking Siamese networks for breast mass detection using dual-view mammogram matching

Morphological-based microcalcification detection using adaptive thresholding and structural similarity indices

A new conditional region growing approach for an accurate detection of microcalcifications from mammographic images

Deep convolutional encoder-decoders for deltoid segmentation using healthy versus pathological learning transferability

Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammograms

Robust supervoxel matching combining mid-level spectral and context-rich features

Optical flow estimation in ocular endoscopy videos using flownet on simulated endoscopy data

Long-term superpixel tracking using unsupervised learning and multi-step integration

Hierarchical Multi-Scale Supervoxel Matching using Random Forests for Automatic Semi-Dense Abdominal Image Registration

Random Forests on Hierarchical Multi-Scale Supervoxels for Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans.

Segmentation semi-automatique de tumeurs du foie en TDM dynamique pour l'estimation du taux de nécrose

Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels

Dense long-term motion estimation via Statistical Multi-Step Flow

Estimation de mouvement dense entre images distantes : intégration combinatoire multi-steps et sélection statistique

Dense motion estimation between distant frames: combinatorial multi-step integration and statistical selection