Google is faster than me… please have a look at my Google Scholar entry for an updated publications list!
2021
- Z. Lambert, C. Petitjean, and Le C. Guyader. A geometrically-constrained deep network for ct image segmentation. In IEEE International Symposium on Biomedical Imaging (ISBI), 2021.
[Bibtex]@INPROCEEDINGS{lambert21isbi, author = {Z. Lambert and C. Petitjean and C. Le Guyader}, title = {A GEOMETRICALLY-CONSTRAINED DEEP NETWORK FOR CT IMAGE SEGMENTATION}, booktitle = {{IEEE International Symposium on Biomedical Imaging (ISBI)}}, year = {2021} } - Rosana El Jurdi, C. Petitjean, Paul Honeine, Veronika Cheplygina, and Fahed Abdallah. A surprisingly effective perimeter-based loss for medical image segmentation. Submitted, 2021.
[Bibtex]@article{jurdi2021surprisingly, title={A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation}, author={El Jurdi, Rosana and {C. Petitjean} and Honeine, Paul and Cheplygina, Veronika and Abdallah, Fahed}, journal={submitted}, year={2021} }
2020
- J. Zhang, C. Petitjean, Pierre Lopez, and Samia Ainouz. Direct estimation of fetal head circumference from ultrasound images based on regression cnn. In Midl, 2020.
[Bibtex]@inproceedings{zhang20direct, title={Direct estimation of fetal head circumference from ultrasound images based on regression CNN }, author={{J. Zhang} and {C. Petitjean} and Pierre Lopez and Samia Ainouz}, booktitle = {MIDL}, year={2020}, } - Rosana El Jurdi, C. Petitjean, Paul Honeine, Veronika Cheplygina, and Fahed Abdallah. High-level prior-based loss functions for medical image segmentation: a survey. Arxiv preprint arxiv:2011.08018, submitted, 2020.
[Bibtex]@article{jurdi2020high, title={High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey}, author={El Jurdi, Rosana and {C. Petitjean} and Honeine, Paul and Cheplygina, Veronika and Abdallah, Fahed}, journal={arXiv preprint arXiv:2011.08018, submitted}, year={2020} } - Zoé Lambert, Carole Le Guyader, and C. Petitjean. Analysis of the weighted van der waals-cahn-hilliard model for image segmentation. In Ieee ipta, 2020.
[Bibtex]@inproceedings{lambert, title={Analysis of the weighted Van der Waals-Cahn-Hilliard model for image segmentation}, author={{Zoé Lambert} and Carole Le Guyader and {C. Petitjean}}, booktitle = {IEEE IPTA}, year={2020}, } - Rosana El Jurdi, Thomas Dargent, C. Petitjean, Paul Honeine, and Fahed Abdallah. Investigating coordconv for fully and weakly supervised medical image segmentation. In Ieee ipta, 2020.
[Bibtex]@inproceedings{jurdi20ipta, title={Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation }, author={{Rosana El Jurdi} and {Thomas Dargent} and {C. Petitjean} and Paul Honeine and Fahed Abdallah}, booktitle = {IEEE IPTA}, year={2020}, } - Jing} {Zhang, C. Petitjean, Florian Yger, and Samia Ainouz. Explainability for regression cnn in fetal head circumference estimation from ultrasound images. In Interpretable and annotation-efficient learning for medical image computing, a miccai workshop, page 73–82. Springer, 2020.
[Bibtex]@incollection{zhang2020explainability, title={Explainability for regression CNN in fetal head circumference estimation from ultrasound images}, author={{Zhang, Jing} and {C. Petitjean} and Yger, Florian and Ainouz, Samia}, booktitle={Interpretable and Annotation-Efficient Learning for Medical Image Computing, a MICCAI workshop}, pages={73--82}, year={2020}, publisher={Springer} } - N. Ballier, S. Canu, C. Petitjean, G. Gasso, C. Balhana, T. Alexopoulou, and T. Gaillat. Machine learning for learners english – a plea for creating learner data challenges. International Journal of Learner Corpus Research, 6(1):73 – 104, 2020.
[Bibtex]@Article{ballier, author = {N. Ballier and S. Canu and C. Petitjean and G. Gasso and C. Balhana and T. Alexopoulou and T. Gaillat}, title = {Machine Learning for learners English - A plea for creating learner data challenges}, journal = {{International Journal of Learner Corpus Research}}, pages = {73 -- 104}, volume = {6}, number = {1}, year = {2020} } - J. Zhang, C. Petitjean, and S. Ainouz. Kappa loss for skin lesion segmentation in fully convolutional network. In IEEE International Symposium on Biomedical Imaging (ISBI), 2020.
[Bibtex]@INPROCEEDINGS{zhang20, author = {J. Zhang and C. Petitjean and S. Ainouz}, title = {Kappa loss for skin lesion segmentation in fully convolutional network}, booktitle = {{IEEE International Symposium on Biomedical Imaging (ISBI)}}, year = {2020} } - I. Ubeda, J. Saavedra, S. Nicolas, C. Petitjean, and Laurent Heutte. Improving pattern spotting in historical documents using feature pyramid networks. In Pattern Recognition Letters, 2020.
[Bibtex]@INPROCEEDINGS{ubeda19improving, author = {I. Ubeda and J. Saavedra and S. Nicolas and C. Petitjean and Laurent Heutte}, title = {Improving Pattern Spotting in Historical Documents Using Feature Pyramid Networks}, booktitle = {{Pattern Recognition Letters}}, year = {2020}, }
2019
- Z. Lambert, C. Petitjean, B. Dubray, and S. Ruan. Segthor: segmentation of thoracic organs at risk in ct images. 2019.
[Bibtex]@misc{lambert2019segthor, title={SegTHOR: Segmentation of Thoracic Organs at Risk in CT images}, author={Z. Lambert and C. Petitjean and B. Dubray and S. Ruan}, year={2019}, eprint={1912.05950}, archivePrefix={arXiv}, primaryClass={eess.IV} } - C. Petitjean, Su Ruan, Zoe Lambert, and Bernard Dubray, editors. Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images (SegTHOR2019), colocated with IEEE ISBI’19, volume 2349CEUR-WS, 2019.
[Bibtex]@proceedings{segthor, editor = {C. Petitjean and Su Ruan and Zoe Lambert and Bernard Dubray}, title = {{Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images (SegTHOR2019), colocated with IEEE ISBI'19}}, publisher = {CEUR-WS}, volume={2349}, venue = {Venice, Italy}, month = apr, year = {2019} } - Rosana El Jurdi, C. Petitjean, Paul Honeine, and Fahed Abdallah. Organ Segmentation in CT Images With Weak Annotations. In GRETSI, Lille, France, 2019.
[Bibtex]@INPROCEEDINGS{jurdi19gretsi, author = {Rosana El Jurdi and C. Petitjean and Paul Honeine and Fahed Abdallah}, title = {{Organ Segmentation in CT Images With Weak Annotations}}, booktitle = {{GRETSI, Lille, France}}, year = {2019}, } - I. Ubeda, J. Saavedra, S. Nicolas, C. Petitjean, and Laurent Heutte. Pattern spotting in historical documents using convolutional models. In HIP ’19: Historical Document Imaging and Processing Workshop colocated with ICDAR’19, Sidney, Australia, 2019.
[Bibtex]@INPROCEEDINGS{ubeda19pattern, author = {I. Ubeda and J. Saavedra and S. Nicolas and C. Petitjean and Laurent Heutte}, title = {Pattern Spotting in Historical Documents Using Convolutional Models}, booktitle = {{HIP '19: Historical Document Imaging and Processing Workshop colocated with ICDAR'19, Sidney, Australia}}, year = {2019}, } - PJ Sudharshan, C. Petitjean, Fabio Spanhol, Luiz Eduardo Oliveira, Laurent Heutte, and Paul Honeine. Multiple instance learning for histopathological breast cancer image classification. Expert systems with applications, 117:103–111, 2019.
[Bibtex]@article{sudharshan2019multiple, title={Multiple instance learning for histopathological breast cancer image classification}, author={Sudharshan, PJ and Petitjean, C. and Spanhol, Fabio and Oliveira, Luiz Eduardo and Heutte, Laurent and Honeine, Paul}, journal={Expert Systems with Applications}, volume={117}, pages={103--111}, year={2019}, publisher={Elsevier} } -
![[DOI]](http://pagesperso.litislab.fr/cpetitjean/wp-content/plugins/papercite/img/external.png)
Roger Trullo, C. Petitjean, Su Ruan, and Bernard Dubray. Multi-organ segmentation using distance aware adversarial networks. Journal of Medical Imaging, 6(1):14001, 2019.
[Bibtex]@Article{trullo18jmi, author = {Roger Trullo and C. Petitjean and Su Ruan and Bernard Dubray}, title = {Multi-Organ Segmentation using Distance Aware Adversarial Networks}, journal = {{Journal of Medical Imaging}}, volume = {6}, number = {1}, pages = {014001}, doi = {10.1117/1.JMI.6.1.014001}, year = {2019} }
2018
- Dong Nie, Roger Trullo, Jun Lian, Li Wang, C. Petitjean, Su Ruan, Jun Lian, and Dinggang Shen. Medical image synthesis with deep convolutional adversarial networks. IEEE Trans on Biomed Engineering, 65(12):2720 – 2730, 2018.
[Bibtex]@Article{nie18, author = {Dong Nie and Roger Trullo and Jun Lian and Li Wang and C. Petitjean and Su Ruan and Jun Lian and Dinggang Shen}, title = {Medical Image Synthesis with Deep Convolutional Adversarial Networks}, journal = {{IEEE Trans on Biomed Engineering}}, pages = {2720 -- 2730}, volume = {65}, number = {12}, doi = {10.1109/TBME.2018.2814538}, year = {2018} }
2017
- Roger Trullo, C. Petitjean, Su Ruan, Bernard Dubray, Dong Nie, and Dinggang Shen. Segmentation des organes á risque en imagerie scanner par architecture sharpmask et crf. In GRETSI, Juan-les-PINS, France, 2017.
[Bibtex]@INPROCEEDINGS{trullo17gretsi, author = {Roger Trullo and C. Petitjean and Su Ruan and Bernard Dubray and Dong Nie and Dinggang Shen}, title = {Segmentation des organes \'a risque en imagerie scanner par architecture SharpMask et CRF}, booktitle = {{GRETSI, Juan-les-PINS, France}}, year = {2017}, } - Roger Trullo, C. Petitjean, Su Ruan, Bernard Dubray, Dong Nie, and Dinggang Shen. Joint segmentation of multiple thoracic organs in CT images with two collaborative deep architectures. MICCAI’17 workshop Deep Learning in Medical Image Analysis, 2017.
[Bibtex]@Article{nie17, author = {Roger Trullo and C. Petitjean and Su Ruan and Bernard Dubray and Dong Nie and Dinggang Shen}, title = {Joint Segmentation of Multiple Thoracic Organs in {CT} Images with Two Collaborative Deep Architectures}, journal = {{MICCAI'17 workshop Deep Learning in Medical Image Analysis}}, year = {2017} } - Roger Trullo, C. Petitjean, Su Ruan, Dong Nie, and Dinggang Shen. Fully automated esophagus segmentation with a hierarchical deep learning approach. In IEEE International Conference on Signal and Image Processing Applications (ICSIPA), Kuching Malaysia, 2017.
[Bibtex]@INPROCEEDINGS{trullo17icsipa, author = {Roger Trullo and C. Petitjean and Su Ruan and Dong Nie and Dinggang Shen}, title={Fully automated esophagus segmentation with a hierarchical deep learning approach}, booktitle = {{IEEE International Conference on Signal and Image Processing Applications (ICSIPA), Kuching Malaysia}}, year = {2017} } - Roger Trullo, C. Petitjean, Su Ruan, Bernard Dubray, Dong Nie, and Dinggang Shen. Segmentation of organs at risk in thoracic CT images using a sharpmask architecture and conditional random fields. In IEEE 14th International Symposium on Biomedical Imaging (ISBI), page 1003–1006, 2017.
[Bibtex]@INPROCEEDINGS{trullo17isbi, author = {Roger Trullo and C. Petitjean and Su Ruan and Bernard Dubray and Dong Nie and Dinggang Shen}, title = {Segmentation of Organs at Risk in Thoracic {CT} images using a SharpMask Architecture and Conditional Random Fields}, booktitle = {{ IEEE 14th International Symposium on Biomedical Imaging (ISBI)}}, pages = {1003--1006}, year = {2017} } - F. Wang, S. Ainouz, C. Petitjean, and A. Benshrair. Specularity removal: a global energy minimization approach based on polarization imaging. Computer Vision and Image Understanding, 2017.
[Bibtex]@Article{wang16, author = {F. Wang and S. Ainouz and C. Petitjean and A. Benshrair}, title = {Specularity removal: a global energy minimization approach based on polarization imaging}, journal = {{Computer Vision and Image Understanding}}, year = {2017}, } - Dong Nie, Roger Trullo, C. Petitjean, Su Ruan, Jun Lian, and Dinggang Shen. Medical image synthesis with context-aware generative adversarial networks. In MICCAI, Quebec, Canada, 2017.
[Bibtex]@INPROCEEDINGS{nie17, author = {Dong Nie and Roger Trullo and C. Petitjean and Su Ruan and Jun Lian and Dinggang Shen}, title = {Medical Image Synthesis with Context-Aware Generative Adversarial Networks}, booktitle = {{MICCAI, Quebec, Canada}}, year = {2017} } - V. Chang, L. Heutte, C. Petitjean, S. Härtel, and N. Hitschfeld. Automatic classification of human sperm head morphology. Computers in Biology and Medicine, 84:205�216, 2017.
[Bibtex]@article{chang17, author = {V. Chang and L. Heutte and C. Petitjean and S. H\"artel and N. Hitschfeld}, title = {Automatic classification of human sperm head morphology}, year = {2017}, journal = {{Computers in Biology and Medicine}}, volume = {84}, pages = {205�216}, } - F. A. Spanhol, P. Cavalin, L. S. Oliveira, C. Petitjean, and L. Heutte. Deep features for breast cancer histopathological image classification. In IEEE International Conference on Systems, Man, and Cybernetics, Banff, Canada, 2017.
[Bibtex]@INPROCEEDINGS{spanhol2017smc, author = {F.A. Spanhol and P. Cavalin and L.S. Oliveira and C. Petitjean and L. Heutte}, title = {Deep Features for Breast Cancer Histopathological Image Classification}, booktitle = {{IEEE International Conference on Systems, Man, and Cybernetics, Banff, Canada}}, year = {2017} }
2016
- F. A. Spanhol, L. S. Oliveira, C. Petitjean, and L. Heutte. A dataset for breast cancer histopathological image classification. IEEE Transactions on Biomedical Engineering, 63(7):1455-1462, July 2016.
[Bibtex]@ARTICLE{spanhol, author={F. A. Spanhol and L. S. Oliveira and C. Petitjean and L. Heutte}, journal={{IEEE Transactions on Biomedical Engineering}}, title={A Dataset for Breast Cancer Histopathological Image Classification}, year={2016}, volume={63}, number={7}, pages={1455-1462}, month={July}, } - A. Mendoza Quispe, C. Petitjean, and L. Heutte. Extreme learning machine for out-of-sample in laplacian eigenmaps. Pattern Recognition Letters, 74:68-73, 2016.
[Bibtex]@ARTICLE{mendoza16, author = {Mendoza Quispe, A. and Petitjean, C. and Heutte, L.}, title = {Extreme learning machine for out-of-sample in laplacian eigenmaps}, journal = {{Pattern Recognition Letters}}, year = {2016}, volume = {74}, pages = {68-73}, } - S. En, C. Petitjean, S. Nicolas, and L. Heutte. A scalable pattern spotting system for historical documents. Pattern Recognition, 54:149-161, 2016.
[Bibtex]@ARTICLE{en16, author = {En, S. and Petitjean, C. and Nicolas, S. and Heutte, L.}, title = {A scalable pattern spotting system for historical documents}, journal = {{Pattern Recognition}}, year = {2016}, volume = {54}, pages = {149-161}, } - D. Grosgeorge, C. Petitjean, and S. Ruan. Multilabel statistical shape prior for image segmentation. IET Image Processing, 10(10):710–716, 2016.
[Bibtex]@Article{grosgeorge16, author = {D. Grosgeorge and C. Petitjean and S. Ruan}, title = {Multilabel statistical shape prior for image segmentation }, journal = {{IET Image Processing}}, year = {2016}, volume = {10}, number = {10}, pages = {710--716} } - S. En, C. Petitjean, S. Nicolas, L. Heutte, and F. Jurie. A new public dataset for pattern spotting in medieval document images. Journal of Electronic Imaging, 2016.
[Bibtex]@ARTICLE{en16jei, author = {En, S. and Petitjean, C. and Nicolas, S. and Heutte, L. and Jurie, F.}, title = {A new public dataset for pattern spotting in medieval document images}, journal = {{Journal of Electronic Imaging}}, year = {2016}, } - L. Heutte, C. Petitjean, and C. Désir. Pruning trees in random forests for minimizing non detection in medical imaging. In Handbook of pattern recognition and computer vision, 5th edition, pages 89-107. World Scientific, 2016.
[Bibtex]@incollection{heutte16, author = {L. Heutte and C. Petitjean and C. D\'esir}, booktitle = {Handbook of Pattern Recognition and Computer Vision, 5th Edition}, title = {Pruning trees in random forests for minimizing non detection in medical imaging}, publisher = {World Scientific}, pages = {89-107}, year = 2016 } - F. A. Spanhol, L. S. Oliveira, C. Petitjean, and L. Heutte. Breast cancer histopathological image classification using convolutional neural networks. In IEEE International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, page 2560 – 2567, 2016.
[Bibtex]@INPROCEEDINGS{spanhol2, author = {F.A. Spanhol and L.S. Oliveira and C. Petitjean and L. Heutte}, title = {Breast Cancer Histopathological Image Classification using Convolutional Neural Networks}, booktitle = {{IEEE International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada}}, year = {2016}, pages = {2560 -- 2567} } - Sovann En, Stéphane Nicolas, C. Petitjean, and Laurent Heutte. Detection proposal for pattern spotting in historical document images. In IWFHR, Shenzhen, China, 2016.
[Bibtex]@INPROCEEDINGS{en16iwfhr, author = {En, Sovann and Nicolas, St{\'e}phane and Petitjean, C. and Heutte, Laurent}, title = {Detection Proposal for Pattern Spotting in Historical Document Images}, booktitle = {{IWFHR, Shenzhen, China}}, year = {2016}, } - F. Wang, S. Ainouz, C. Petitjean, and A. Benshrair. Polarization-based specularity removal method with global energy minimization. In IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, USA, 2016.
[Bibtex]@INPROCEEDINGS{icip16, author = {F. Wang and S. Ainouz and C. Petitjean and A. Benshrair}, title = {Polarization-based specularity removal method with global energy minimization}, booktitle = {{IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, USA}}, year = {2016}, } - Sovann En, C. Petitjean, Stéphane Nicolas, and Laurent Heutte. Pattern localization in historical document images via template matching. In ICPR, Cancun, Mexico, 2016.
[Bibtex]@INPROCEEDINGS{en16icpr, author = {En, Sovann and Petitjean, C. and Nicolas, St{\'e}phane and Heutte, Laurent}, title = {Pattern localization in historical document images via template matching}, booktitle = {{ICPR, Cancun, Mexico}}, year = {2016}, }
2015
- H. Mi, C. Petitjean, P. Vera, and S. Ruan. Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images. Medical Image Analysis, 13(1):84-91, 2015.
[Bibtex]@ARTICLE{mi15joint, author = {H. Mi and C. Petitjean and P. Vera and S. Ruan}, title = {Joint Tumor Growth Prediction and Tumor Segmentation on Therapeutic Follow-up {PET} Images}, journal = {{Medical Image Analysis}}, year = {2015}, volume = {13}, number = {1}, pages = {84-91} } - Hongmei Mi, C. Petitjean, Bernard Dubray, Pierre Vera, and Su Ruan. Robust feature selection to predict tumor treatment outcome. Artificial Intelligence in Medicine, 64(3):195-204, 2015.
[Bibtex]@article{Mi2015195, title = "Robust feature selection to predict tumor treatment outcome ", journal = {{Artificial Intelligence in Medicine}}, volume = "64", number = "3", pages = "195 - 204", year = "2015", note = "", author = "Hongmei Mi and C. Petitjean and Bernard Dubray and Pierre Vera and Su Ruan", keywords = "Hierarchical forward feature selection", keywords = "Prior knowledge", keywords = "Prediction", keywords = "Small sample", keywords = "Positron emission tomography", keywords = "Support vector machine " } - C. Petitjean, Maria A. Zuluaga, Wenjia Bai, Jean-Nicolas Dacher, Damien Grosgeorge, Jérôme Caudron, Su Ruan, Ismail Ben Ayed, Jorge M. Cardoso, Hsiang-Chou Chen, Daniel Jimenez-Carretero, Maria J. Ledesma-Carbayo, Christos Davatzikos, Jimit Doshi, Guray Erus, Oskar M. O. Maier, Cyrus Nambakhsh, Yangming Ou, Sébastien Ourselin, Chun-Wei Peng, Daniel Rueckert, Martin Rajchl, Andres Santos, Wenzhe Shi, Haiyan Wang, Ching-Wei Wang, Terry M. Peters, Nicholas Peters, and Jing Yuan. Right Ventricle Segmentation From Cardiac MRI: A Collation Study. Medical Image Analysis, 19:187–202, 2015.
[Bibtex]@article{petitjeanhal-01081337, title = {{Right Ventricle Segmentation From Cardiac MRI: A Collation Study}}, author = {Petitjean, C. and Zuluaga, Maria A and Bai, Wenjia and Dacher, Jean-Nicolas and Grosgeorge, Damien and Caudron, J{\'e}r{\^o}me and Ruan, Su and Ben Ayed, Ismail and Cardoso, M. Jorge and Chen, Hsiang-Chou and Jimenez-Carretero, Daniel and Ledesma-Carbayo, Maria J and Davatzikos, Christos and Doshi, Jimit and Erus, Guray and Maier, Oskar M.O. and Nambakhsh, Cyrus and Ou, Yangming and Ourselin, S{\'e}bastien and Peng, Chun-Wei and Rueckert, Daniel and Rajchl, Martin and Santos, Andres and Shi, Wenzhe and Wang, Haiyan and Wang, Ching-Wei and Peters, Terry M and Peters, Nicholas and Yuan, Jing}, journal = {{Medical Image Analysis}}, pages = {187--202}, volume = {19}, year = {2015} } - P. Desbordes, C. Petitjean, and S. Ruan. Segmentation of lymphoma tumor in PET images using cellular automata: a preliminary study. IRBM Special Issue on Medical Image Analysis for Computer Aided Diagnosis, 37(1):3–10, 2015.
[Bibtex]@ARTICLE{desbordes, author = {P. Desbordes and C. Petitjean and S. Ruan}, title = {Segmentation of lymphoma tumor in {PET} images using cellular automata: a preliminary study}, journal = {{IRBM Special Issue on Medical Image Analysis for Computer Aided Diagnosis}}, year = {2015}, volume = {37}, number = {1}, pages = {3--10} } - S. En, C. Petitjean, S. Nicolas, and L. Heutte. Détection de motifs graphiques dans des images de documents anciens. In Actes du colloque gretsi, lyon, france, 2015.
[Bibtex]@INPROCEEDINGS{en15detection, author = {S. En and C. Petitjean and S. Nicolas and L. Heutte }, title = {D\'etection de motifs graphiques dans des images de documents anciens }, booktitle = { Actes du Colloque GRETSI, Lyon, France}, year = {2015}, } - A. Mendoza and C. Petitjean. Shape prior based image segmentation using manifold learning. In IEEE Image Processing Theory, Tools and Applications (IPTA), Orléans, France, pages 137-142, 2015.
[Bibtex]@INPROCEEDINGS{mendoza15, author = {A. Mendoza and C. Petitjean}, title = {Shape prior based image segmentation using manifold learning}, booktitle = {{IEEE Image Processing Theory, Tools and Applications (IPTA), Orl\'eans, France}}, year = {2015}, pages={137-142} } - Sovann En, Stéphane Nicolas, C. Petitjean, and Laurent Heutte. Segmentation-free pattern spotting in historical document images. In International conference on document analysis and recognition, page 606–610, 2015.
[Bibtex]@InProceedings{en15segmentation, author = {En, Sovann and Nicolas, St{\'e}phane and Petitjean, C. and Heutte, Laurent}, title = {Segmentation-Free Pattern Spotting in Historical Document Images}, booktitle = {International Conference on Document Analysis and Recognition}, pages = {606--610}, year = 2015 } - Sovann En, Frédéric Jurie, Stéphane Nicolas, C. Petitjean, and Laurent Heutte. Linear discriminant analysis for zero-shot learning image retrieval. In International conference on computer vision theory and applications (visapp), berlin, germany, volume 2, page 70–77, 2015.
[Bibtex]@inproceedings{en15visapp, author = {Sovann En and Fr{\'{e}}d{\'{e}}ric Jurie and St{\'{e}}phane Nicolas and C. Petitjean and Laurent Heutte}, title = {Linear Discriminant Analysis for Zero-shot Learning Image Retrieval}, booktitle = {International Conference on Computer Vision Theory and Applications (VISAPP), Berlin, Germany}, pages = {70--77}, year = {2015}, volume = {2}, crossref = {DBLP:conf/visapp/2015-2}, bibsource = {dblp computer science bibliography, http://dblp.org} }
2014
- A. Rakotomamonjy, C. Petitjean, M. Salaün, and L. Thiberville. Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images. Artificial Intelligence in Medicine, 61(2):105-118, 2014.
[Bibtex]@article{rakoto, title = "Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images", journal = {{Artificial Intelligence in Medicine}}, volume = "61", number = "2", pages = "105-118", year = "2014", author = "A. Rakotomamonjy and C. Petitjean and M. Sala\"un and L. Thiberville" } - H. Mi, C. Petitjean, Bernard Dubray, P. Vera, and S. Ruan. Prediction of lung tumor evolution during radiotherapy in individual patients with PET. IEEE Transactions on Medical Imaging, 33(4):995-1003, 2014.
[Bibtex]@ARTICLE{mi14prediction, author = {H. Mi and C. Petitjean and Bernard Dubray and P. Vera and S. Ruan}, title = {Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients with {PET}}, journal = {{IEEE Transactions on Medical Imaging}}, year = {2014}, volume = {33}, number = {4}, pages = {995-1003} } - D. Grosgeorge, C. Petitjean, and S. Ruan. Segmentation par coupes de graphe multilabels avec a priori de forme. In Rfia, rouen, france, 2014.
[Bibtex]@INPROCEEDINGS{grosgeorge14segmentation, author = { D. Grosgeorge and C. Petitjean and S. Ruan }, title = { Segmentation par coupes de graphe multilabels avec a priori de forme }, booktitle = {RFIA, Rouen, France }, year = {2014}, } - H. Mi, C. Petitjean, S. Ruan, B. Dubray, and P. Vera. Segmentation automatique de tumeur par marche aléatoire basé sur un modèle de croissance de tumeur. In Rfia, rouen, france, 2014.
[Bibtex]@INPROCEEDINGS{mi14segmentation, author = {H. Mi and C. Petitjean and S. Ruan and B. Dubray and P. Vera}, title = { Segmentation automatique de tumeur par marche al\'eatoire bas\'e sur un mod\`ele de croissance de tumeur }, booktitle = {RFIA, Rouen, France }, year = {2014}, } - Hongmei Mi, C. Petitjean, Pierre Vera, and Su Ruan. Robust feature selection to predict lung tumor recurrence. In Computational methods for molecular imaging workshop at miccai, 2014.
[Bibtex]@INPROCEEDINGS{mi14robust, author = {Hongmei Mi and C. Petitjean and Pierre Vera and Su Ruan}, title = {Robust Feature Selection to Predict Lung Tumor Recurrence}, booktitle = {Computational Methods for Molecular Imaging Workshop at MICCAI}, year = {2014}, } - P. Desbordes, C. Petitjean, and S. Ruan. 3D automated lymphoma segmentation in PET images based on cellular automata. In IEEE Image Processing Theory, Tools and Applications (IPTA), Paris, France, 2014.
[Bibtex]@INPROCEEDINGS{desbordes14, author = {P. Desbordes and C. Petitjean and S. Ruan}, title = {{3D automated lymphoma segmentation in PET images based on cellular automata}}, booktitle = {{IEEE Image Processing Theory, Tools and Applications (IPTA), Paris, France}}, year = {2014} } - H. Mi, C. Petitjean, B. Dubray, P. Vera, and S. Ruan. Automatic lung tumor segmentation on pet images based on random walks and tumor growth model. In IEEE 11th International Symposium on Biomedical Imaging (ISBI), pages 1385-1388, April 2014.
[Bibtex]@INPROCEEDINGS{MiISBI2014, author={H. Mi and C. Petitjean and B. Dubray and P. Vera and S. Ruan}, booktitle={{IEEE 11th International Symposium on Biomedical Imaging (ISBI)}}, title={Automatic lung tumor segmentation on PET images based on random walks and tumor growth model}, year={2014}, pages={1385-1388}, keywords={image segmentation;lung;medical image processing;positron emission tomography;radiation therapy;random processes;tumours;PET images;automatic lung tumor segmentation;labeled seeds;lung tumor growth model;lung tumor patients;positron emission tomography;radiotherapy;random walk algorithm;treatment planning process;Image segmentation;Lungs;Positron emission tomography;Prediction algorithms;Predictive models;Tumors;PET;Tumor segmentation;lung;radiotherapy;random walks;tumor growth model}, doi={10.1109/ISBI.2014.6868136}, ISSN={1945-7928}, month={April},} - Damien Grosgeorge, C. Petitjean, and Su Ruan. Joint segmentation of right and left cardiac ventricles using multi-label graph cut. In IEEE International Symposium on Biomedical Imaging (ISBI), pages 429-432}, %month = {April, 2014.
[Bibtex]@INPROCEEDINGS{GrosgeorgeISBI2014, author = {Damien Grosgeorge and C. Petitjean and Su Ruan}, title = {Joint segmentation of right and left cardiac ventricles using multi-label graph cut}, booktitle = {{IEEE International Symposium on Biomedical Imaging (ISBI)}}, year = {2014}, pages = {429-432}, %month = {April}, }
2013
- D. Grosgeorge, C. Petitjean, J. -N. Dacher, and S. Ruan. Graph cut segmentation with a statistical shape model in cardiac MRI. Computer Vision and Image Understanding, 117:1027-1035, 2013.
[Bibtex]@Article{grosgeorge13graph, author = {D. Grosgeorge and C. Petitjean and J.-N. Dacher and S. Ruan}, title = {Graph cut segmentation with a statistical shape model in cardiac {MRI}}, journal = {{Computer Vision and Image Understanding}}, year = {2013}, Volume = {117}, pages = {1027-1035} } - D. Grosgeorge, C. Petitjean, B. Dubray, and S. Ruan. Esophagus segmentation from 3D CT data using skeleton prior-based graph cut. Computational and Mathematical Methods in Medicine, vol. 2013, 2013.
[Bibtex]@Article{grosgeorge13esophagus, author = {D. Grosgeorge and C. Petitjean and B. Dubray and S. Ruan}, title = {Esophagus Segmentation from {3D CT} Data Using Skeleton Prior-Based Graph Cut}, journal = {{Computational and Mathematical Methods in Medicine}}, year = {2013}, Volume = {vol. 2013}, } - C. Désir, S. Bernard, C. Petitjean, and L. Heutte. One-class random forest. Pattern Recognition, 46:3490-3506, 2013.
[Bibtex]@ARTICLE{desir13pr, author = {D\'esir, C. and Bernard, S. and Petitjean, C. and Heutte, L.}, title = {One-Class Random Forest}, journal = {{Pattern Recognition}}, year = {2013}, volume = {46}, pages = {3490-3506}, } - H. Mi, C. Petitjean, S. Ruan, B. Dubray, and P. Vera. Prédiction de l’évolution de tumeurs pulmonaires en imagerie TEP. In Actes du colloque gretsi, brest, france, 2013.
[Bibtex]@INPROCEEDINGS{mi13prediction, author = { H. Mi and C. Petitjean and S. Ruan and B. Dubray and P. Vera }, title = { Pr\'ediction de l'\'evolution de tumeurs pulmonaires en imagerie {TEP} }, booktitle = { Actes du Colloque GRETSI, Brest, France}, year = {2013}, } - Hongmei Mi, C. Petitjean, Su Ruan, Pierre Vera, and Bernard Dubray. Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model. In IEEE International Symposium on Biomedical Imaging (ISBI), pages 1404-1407, April 2013.
[Bibtex]@INPROCEEDINGS{MiISBI2013, author = {Hongmei Mi and C. Petitjean and Su Ruan and Pierre Vera and Bernard Dubray}, title = {Predicting lung tumor evolution during radiotherapy from {PET} images using a patient specific model}, booktitle = {{IEEE International Symposium on Biomedical Imaging (ISBI)}}, year = {2013}, pages = {1404-1407}, month = {April}, }
2012
- C. Désir, C. Petitjean, L. Heutte, M. Salaün, and L. Thiberville. An SVM-based distal lung image classification using texture descriptors. Computerized Medical Imaging and Graphics, 36:264-270, 2012.
[Bibtex]@ARTICLE{desirsvm10, author = {D\'esir, C. and Petitjean, C. and Heutte, L. and Sala\"un, M. and Thiberville, L.}, title = {An {SVM}-based distal lung image classification using texture descriptors}, journal = {{Computerized Medical Imaging and Graphics}}, year = {2012}, volume = {36}, pages = {264-270}, } - C. Désir, C. Petitjean, L. Heutte, M. Salaün, and L. Thiberville. Classification of endomicroscopic images of the lung based on random subwindows and extra-trees. IEEE Transactions on Biomedical Engineering, 59(9):2677–2683, 2012.
[Bibtex]@ARTICLE{desir2012classification, author = {D\'esir, C. and Petitjean, C. and Heutte, L. and Sala\"un, M. and Thiberville, L.}, title = {Classification of Endomicroscopic Images of the Lung Based on Random Subwindows and Extra-Trees}, journal = {{IEEE Transactions on Biomedical Engineering}}, year = {2012}, volume = {59}, pages = {2677--2683}, number = {9} } - D. Grosgeorge, C. Petitjean, and S. Ruan. Segmentation par coupes de graphe avec a priori de forme. In Rfia, lyon, france, 2012.
[Bibtex]@INPROCEEDINGS{grosgeorge12segmentation, author = {D. Grosgeorge and C. Petitjean and S. Ruan }, title = {Segmentation par coupes de graphe avec a priori de forme }, booktitle = {RFIA, Lyon, France }, year = {2012}, } - C. Désir, S. Bernard, C. Petitjean, and L. Heutte. A new random forest method for one-class classification. In Iapr international workshop on statistical techniques in pattern recognition, spr 2012, hiroshima, japan, volume 7626 of LNCS, pages 282-290, November 2012.
[Bibtex]@INPROCEEDINGS{ChesnerDesir2012NewRandomForest, author = {D\'esir, C. and Bernard, S. and Petitjean, C. and Heutte, L.}, title = {A New Random Forest Method for One-Class Classification}, booktitle = {IAPR International Workshop on Statistical Techniques in Pattern Recognition, SPR 2012, Hiroshima, Japan}, year = {2012}, series = {LNCS}, volume = {7626}, pages = {282-290}, month = {November}, owner = {masterches}, timestamp = {2012.09.26} } - C. Désir, S. Bernard, C. Petitjean, and L. Heutte. A random forest based approach for one-class classification in medical imaging. In 3rd miccai international workshop on machine learning in medical imaging (mlmi 2012), nice, france, volume 7588 of LNCS, pages 250-257, October 2012.
[Bibtex]@INPROCEEDINGS{Desir2012randomforestbased, author = {D\'esir, C. and Bernard, S. and Petitjean, C. and Heutte, L.}, title = {A random forest based approach for one-class classification in medical imaging}, booktitle = {3rd MICCAI International Workshop on Machine Learning in Medical Imaging (MLMI 2012), Nice, France}, year = {2012}, month = {October}, volume = {7588}, series = {LNCS}, pages = {250-257} } - C. Petitjean, S. Ruan, D. Grosgeorge, J. Caudron, and J. -N. Dacher. Right Ventricle Segmentation in Cardiac MRI: a MICCAI’12 Challenge. In Proc. of 3d cardiovascular imaging: a miccai segmentation challenge, 2012.
[Bibtex]@INPROCEEDINGS{petitjean12right, author = {C. Petitjean and S. Ruan and D. Grosgeorge and J. Caudron and J.-N. Dacher}, title = {{Right Ventricle Segmentation in Cardiac MRI: a MICCAI'12 Challenge}}, booktitle = "Proc. of 3D Cardiovascular Imaging: a MICCAI segmentation challenge", pages = "", year = 2012, } - D. Hébert, C. Desir, C. Petitjean, L. Heutte, and L. Thiberville. Detection of pathological condition in distal lung images. In IEEE International Symposium on Biomedical Imaging (ISBI), page 1603–1606, 2012.
[Bibtex]@INPROCEEDINGS{hebert2012detection, author = {H\'ebert, D. and Desir, C. and Petitjean, C. and Heutte, L. and Thiberville, L.}, title = {Detection of pathological condition in distal lung images}, booktitle = {{IEEE International Symposium on Biomedical Imaging (ISBI)}}, year = {2012}, pages = {1603--1606}, } - J. Caudron, J. Fares, V. Lefebvre, P. -H. Vivier, C. Petitjean, and J. -N. Dacher. Cardiac MR assessment of right ventricular function in acquired heart disease: factors of variability. Academic Radiology, 19(8):991-1002, 2012.
[Bibtex]@article{caudron12cardiac, author = {J. Caudron and J. Fares and V. Lefebvre and P.-H. Vivier and C. Petitjean and J.-N. Dacher}, title = {Cardiac {MR} Assessment of Right Ventricular Function in Acquired Heart Disease: Factors of Variability}, year = {2012}, journal = {{Academic Radiology}}, volume = {19}, number = {8}, pages = {991-1002}, }
2011
- D. Grosgeorge, C. Petitjean, J. Caudron, J. Fares, and J. -N. Dacher. Automatic cardiac ventricle segmentation in MR images: a validation study. International journal of computer assisted radiology and surgery, 6(5):573-581, 2011.
[Bibtex]@Article{grosgeorge10cardiac, author = {D. Grosgeorge and C. Petitjean and J. Caudron and J. Fares and J.-N. Dacher}, title = {Automatic cardiac ventricle segmentation in {MR} images: a validation study}, journal = "International Journal of Computer Assisted Radiology and Surgery", publisher = {Springer Berlin / Heidelberg}, year = {2011}, volume = {6}, number = {5}, pages = {573-581} } - C. Petitjean and J. -N. Dacher. A review of segmentation methods in short axis cardiac MR images. Medical Image Analysis, 15(2):169-184, 2011.
[Bibtex]@article{petitjean10review, author = {C. Petitjean and J.-N. Dacher}, title = {A review of segmentation methods in short axis cardiac {MR} images}, journal = {{Medical Image Analysis}}, volume = {15}, number = {2}, year = {2011}, pages = {169-184}, } - C. Petitjean, C. Désir, L. Thiberville, G. Lettier, and L. Heutte. Manual vs. automatic classification of endomicroscopic images of the distal lung. In Computer assisted radiology and surgery (cars), berlin, germany, 2011.
[Bibtex]@INPROCEEDINGS{petitjeanManualClassification11, author = {C. Petitjean and C. D\'esir and L. Thiberville and G. Lettier and L. Heutte}, title = {Manual vs. automatic classification of endomicroscopic images of the distal lung}, booktitle = {Computer Assisted Radiology and Surgery (CARS), Berlin, Germany}, year = {2011}, } - J. Caudron, J. Fares, V. Lefebvre, P. -H. Vivier, C. Petitjean, and J. -N. Dacher. Diagnostic accuracy and variability of three semi-quantitative methods for assessing right ventricular systolic function from cardiac MRI in patients with acquired heart disease. European Radiology, 21(10):2111-20, 2011.
[Bibtex]@article{caudron11diagnostic, author = {J. Caudron and J. Fares and V. Lefebvre and P.-H. Vivier and C. Petitjean and J.-N. Dacher}, title = {Diagnostic accuracy and variability of three semi-quantitative methods for assessing right ventricular systolic function from cardiac {MRI} in patients with acquired heart disease}, volume = {21}, number = {10}, pages = {2111-20}, year = {2011}, journal = {{European Radiology}} }
2010
- B. Lelandais, C. Désir, C. Petitjean, L. Heutte, and L. Thiberville. Classification d’images alvéoscopiques par extra-trees. In Rfia, caen, france, 2010.
[Bibtex]@INPROCEEDINGS{lelandaisRFIAextratrees10, author = {B. Lelandais and C. D\'esir and C. Petitjean and L. Heutte and L. Thiberville}, title = {Classification d'images alv\'eoscopiques par extra-trees}, booktitle = {RFIA, Caen, France}, year = {2010}, } - C. Désir, C. Petitjean, L. Heutte, and L. Thiberville. Using a priori knowledge to classify in vivo images of the lung. In Icic 2010, lnai 6216, changsha, china, pages 207-212, 2010.
[Bibtex]@INPROCEEDINGS{desirAlveoIcic2010, author = {C. D\'esir and C. Petitjean and L. Heutte and L. Thiberville}, title = {Using a priori knowledge to classify in vivo images of the lung}, booktitle = {ICIC 2010, LNAI 6216, Changsha, China}, year = {2010}, pages = {207-212}, }
2009
- C. Petitjean, L. Heutte, V. Delcourt, and R. Kouadio. Extraction automatique de pendules dans des images de caténaire. In Actes du colloque gretsi, dijon, france, 2009.
[Bibtex]@INPROCEEDINGS{petitjean091, author = { C. Petitjean and L. Heutte and V. Delcourt and R. Kouadio}, title = { Extraction automatique de pendules dans des images de cat\'enaire }, booktitle = { Actes du Colloque GRETSI, Dijon, France }, year = {2009}, } - C. Petitjean, J. Benoist, L. Thiberville, M. Salaün, and L. Heutte. Classification d’images endomicroscopiques du système respiratoire alvéolaire. In Actes du colloque gretsi, dijon, france, 2009.
[Bibtex]@INPROCEEDINGS{petitjean092, author = { C. Petitjean and J. Benoist and L. Thiberville and M. Sala\"un and L. Heutte }, title = { Classification d'images endomicroscopiques du syst\`eme respiratoire alv\'eolaire}, booktitle = { Actes du Colloque GRETSI, Dijon, France }, year = {2009}, } - C. Petitjean, C. Désir, M. Salaün, L. Thiberville, and L. Heutte. Automatic classification of in vivo distal lung images for computer-aided diagnosis. In Proceedings of medical image understanding and analysis (miua), kingston, uk, 2009.
[Bibtex]@INPROCEEDINGS{petitjean09automatic, author = {C. Petitjean and C. D\'esir and M. Sala\"un and L. Thiberville and L. Heutte}, title = {Automatic classification of in vivo distal lung images for computer-aided diagnosis}, booktitle = {Proceedings of Medical Image Understanding and Analysis (MIUA), Kingston, UK}, year = {2009}, __markedentry = {[chesner]} } - A. Saint-Réquier, B. Lelandais, C. Petitjean, C. Désir, and L. Heutte. Characterization of endomicroscopic images of the distal lung for computer-aided diagnosis. In International conference on intelligent computing, ulsan, south korea, volume 5754 of LNCS, pages 994-1003. Springer, 2009.
[Bibtex]@INPROCEEDINGS{SRL09, author = {A. Saint-R\'equier and B. Lelandais and C. Petitjean and C. D\'esir and L. Heutte}, title = {Characterization of endomicroscopic images of the distal lung for computer-aided diagnosis}, booktitle = {International Conference on Intelligent Computing, Ulsan, South Korea}, year = {2009}, volume = {5754}, series = {LNCS}, pages = {994-1003}, publisher = {Springer}, __markedentry = {[chesner]} } - C. Petitjean, J. Benoist, L. Thiberville, M. Salaün, and L. Heutte. Classification of in-vivo endomicroscopic images of the alveolar respiratory system. In Iapr conference on machine vision applications, yokohama, japan, pages 471-474, May 2009.
[Bibtex]@INPROCEEDINGS{MVA09, author = {C. Petitjean and J. Benoist and L. Thiberville and M. Sala\"un and L. Heutte}, title = {Classification of In-vivo Endomicroscopic Images of the Alveolar Respiratory System}, booktitle = {IAPR Conference on Machine Vision Applications, Yokohama, Japan}, year = {2009}, editor = { }, number = { }, series = { }, pages = {471-474}, month = {May}, publisher = { } } - C. Petitjean, L. Heutte, R. Kouadio, and V. Delcourt. Automatic extraction of droppers in catenary scenes. In Iapr conference on machine vision applications, yokohama, japan, pages 497-500, May 2009.
[Bibtex]@INPROCEEDINGS{MVA092, author = {C. Petitjean and L. Heutte and R. Kouadio and V. Delcourt}, title = {Automatic Extraction of Droppers in Catenary Scenes}, booktitle = {IAPR Conference on Machine Vision Applications, Yokohama, Japan}, year = {2009}, editor = { }, number = { }, series = { }, pages = {497-500}, month = {May}, publisher = { } } - C. Petitjean, R. Kouadio, L. Heutte, and V. Delcourt. A top-down approach for automatic dropper extraction in catenary scenes. In Ibpria, povoa de varzim, portugal, LNCS, pages 225-232, 2009.
[Bibtex]@INPROCEEDINGS{ibpria, author = {C. Petitjean and R. Kouadio and L. Heutte and V. Delcourt}, title = {A Top-Down Approach for Automatic Dropper Extraction in Catenary Scenes}, booktitle = {IbPRIA, Povoa de Varzim, Portugal}, year = {2009}, series = {LNCS}, pages = {225-232}, } - PH Vivier, E. Blondiaux, M. Dolores, N. Marouteau-Pasquier, M. Brasseur, C. Petitjean, and J. -N. Dacher. Uro-IRM fonctionnelle chez l’enfant. J Radiol, 90:11-19, 2009.
[Bibtex]@article{vivier, author = {PH Vivier and E Blondiaux and M Dolores and N Marouteau-Pasquier and M Brasseur and C. Petitjean and J.-N. Dacher}, title = {Uro-{IRM} fonctionnelle chez l'enfant}, volume = {90}, pages = {11-19}, year = {2009}, journal = {{J Radiol}} }
2008
- R. Kouadio, V. Delcourt, L. Heutte, and C. Petitjean. Video based catenary inspection for preventive maintenance on iris 320. In World congress of railway research, seoul, korea, 2008.
[Bibtex]@INPROCEEDINGS{ibpria, author = {R. Kouadio and V. Delcourt and L. Heutte and C. Petitjean}, title = { Video based catenary inspection for preventive maintenance on Iris 320}, booktitle = {World Congress of Railway Research, Seoul, Korea}, year = {2008}, } - F. Montreuil, R. Kouadio, C. Petitjean, L. Heutte, and V. Delcourt. Automatic extraction of information for catenary scene analysis. In 16th european signal processing conference (eusipco), lausanne, switzerland, 2008.
[Bibtex]@INPROCEEDINGS{montreuil, author = {F. Montreuil and R. Kouadio and C. Petitjean and L. Heutte and V. Delcourt}, title = {Automatic extraction of information for catenary scene analysis}, booktitle = {16th European Signal Processing Conference (EUSIPCO), Lausanne, Switzerland}, year = {2008} } - P. -H. Vivier, M. Dolores, I. Gardin, P. Zhang, C. Petitjean, and J. -N. Dacher. In vitro assessment of a three-dimensional segmentation algorithm based on the belief functions theory in calculating renal volumes by MR imaging. American Journal of Roentgenology, 191:127-134, 2008.
[Bibtex]@article{vivier08, author = {P.-H. Vivier and M. Dolores and I. Gardin and P. Zhang and C. Petitjean and J.-N. Dacher}, title = {In vitro assessment of a three-dimensional segmentation algorithm based on the belief functions theory in calculating renal volumes by {MR} imaging}, volume = {191}, pages = {127-134}, year = {2008}, journal = {{American Journal of Roentgenology}} }
2005
- C. Petitjean, N. Rougon, and P. Cluzel. Assessment of myocardial function: a review of quantification methods and results using tagged MRI. Journal of cardiovascular magnetic resonance, 7(2):501-516, 2005.
[Bibtex]@Article{petitjean05assessment, author = {C. Petitjean and N. Rougon and P. Cluzel}, title = {Assessment of myocardial function: A review of quantification methods and results using tagged {MRI}}, journal = "Journal of Cardiovascular Magnetic Resonance", year = {2005}, volume = {7}, number ={2}, pages = {501-516} } - N. Rougon, C. Petitjean, Ph. Cluzel, F. Prêteux, and Ph. Grenier. A non rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures. Medical image analysis, 9(4):353-375, 2005.
[Bibtex]@Article{rougon05nonrigid, author = {N. Rougon and C. Petitjean and Ph. Cluzel and F. Pr\^eteux and Ph. Grenier}, title = {A non rigid registration approach for quantifying myocardial contraction in tagged {MRI} using generalized information measures}, journal = "Medical Image Analysis", year = {2005}, volume = {9}, number ={4}, pages = {353-375} } - C. Petitjean, N. Rougon, Ph. Cluzel, F. Prêteux, and Ph. Grenier. Quantification of myocardial function using tagged MR and cine MR images. International journal of cardiovascular imaging, 20(6):497-508, 2005.
[Bibtex]@Article{petitjean05quantif, author = {C. Petitjean and N. Rougon and Ph. Cluzel and F. Pr\^eteux and Ph. Grenier}, title = {{Quantification of myocardial function using tagged MR and cine MR images}}, journal = "International Journal of Cardiovascular Imaging", year = {2005}, volume = {20}, number ={6}, pages = { 497-508} } - N. Rougon, C. Petitjean, and F. Preteux. Recalage non-rigide d’images par mesures informationnelles généralisées. In Actes du colloque gretsi, paris, france, 2005.
[Bibtex]@INPROCEEDINGS{rougon05, author = {N. Rougon and C. Petitjean and F. Preteux}, title = { Recalage non-rigide d'images par mesures informationnelles g\'en\'eralis\'ees}, booktitle = { Actes du Colloque GRETSI, Paris, France }, year = {2005}, }
2004
- C. Petitjean, Nicolas Rougon, Philippe Cluzel, Françoise J. Prêteux, and Philippe Grenier. A statistical motion atlas for dynamically assessing myocardial function in MRI. In Proceedings 7th annual scmr scientific sessions / euro cmr meeting, barcelona, spain, pages 22-23, 2004.
[Bibtex]@InProceedings{scmr, author = {C. Petitjean and Nicolas Rougon and Philippe Cluzel and Fran{\c{c}}oise J. Pr{\^{e}}teux and Philippe Grenier}, booktitle = {Proceedings 7th Annual SCMR Scientific Sessions / Euro CMR Meeting, Barcelona, Spain}, title = {{A statistical motion atlas for dynamically assessing myocardial function in MRI}}, year = {2004}, pages = {22-23}, } - Nicolas Rougon, C. Petitjean, and Francoise Prêteux. Building and using a statistical 3d motion atlas for analyzing myocardial contraction in mri. In SPIE Conference on Image Processing, San Diego, CA, volume 5370, pages 253-264, 2004.
[Bibtex]@InProceedings{spie, author = {Rougon, Nicolas and Petitjean, C. and Pr\^eteux, Francoise}, title = {Building and using a statistical 3D motion atlas for analyzing myocardial contraction in MRI}, booktitle = {{SPIE Conference on Image Processing, San Diego, CA}}, volume = {5370}, number = {}, pages = {253-264}, year = {2004}, eprint = {} }
2003
- C. Petitjean, Nicolas Rougon, Philippe Cluzel, Françoise J. Prêteux, and Philippe Grenier. Measuring myocardial deformations in tagged MR image sequences using information-theoretic non rigid registration. In Proceedings of the 17th international congress and exhibition on computer assisted radiology and surgery (cars), londres, uk, 2003.
[Bibtex]@InProceedings{cars, author = {C. Petitjean and Nicolas Rougon and Philippe Cluzel and Fran{\c{c}}oise J. Pr{\^{e}}teux and Philippe Grenier}, booktitle = {Proceedings of the 17th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS), Londres, UK}, title = {{Measuring myocardial deformations in tagged MR image sequences using information-theoretic non rigid registration}}, year = {2003}, } - C. Petitjean, Nicolas Rougon, Françoise J. Prêteux, Philippe Cluzel, and Philippe Grenier. Automated 3D measurement of myocardial contraction from tagged MR sequences. In 89th scientific assembly and annual meeting of the rsna, chicago, il, 2003.
[Bibtex]@InProceedings{rsna, author = {C. Petitjean and Nicolas Rougon and Fran{\c{c}}oise J. Pr{\^{e}}teux and Philippe Cluzel and Philippe Grenier}, booktitle = {89th Scientific Assembly and Annual Meeting of the RSNA, Chicago, IL}, title = {{Automated 3D measurement of myocardial contraction from tagged MR sequences}}, year = {2003}, page= { 414} } - C. Petitjean, Nicolas Rougon, F. Prêteux, Philippe Cluzel, and Philippe Grenier. Measuring myocardial deformations in tagged MR image sequences using informational non-rigid registration. In Functional imaging and modeling of the heart, second international workshop, FIMH, lyon, france, page 162–172, 2003.
[Bibtex]@inproceedings{PetitjeanRPCG03, author = {C. Petitjean and Nicolas Rougon and F. Pr{\^{e}}teux and Philippe Cluzel and Philippe Grenier}, title = {Measuring Myocardial Deformations in Tagged {MR} Image Sequences Using Informational Non-rigid Registration}, booktitle = {Functional Imaging and Modeling of the Heart, Second International Workshop, {FIMH}, Lyon, France}, pages = {162--172}, year = {2003} } - N. Rougon, C. Petitjean, and F. Prêteux. Variational non rigid image registration using exclusive f-information. In Ieee international conference on image processing (icip), barcelona, spain, 2003.
[Bibtex]@INPROCEEDINGS{rougonicip, author = {N. Rougon and C. Petitjean and F. Pr\^eteux}, title = {Variational non rigid image registration using exclusive f-information}, booktitle = {IEEE International Conference on Image Processing (ICIP), Barcelona, Spain}, year = {2003}, } - C. Petitjean, Nicolas Rougon, Françoise J. Prêteux, Philippe Cluzel, and Philippe Grenier. A non rigid registration approach for measuring myocardial contraction in tagged mri using exclusive f-information. In IAPR Conference on Image and Signal Processing (ICISP), Agadir, Morocco, 2003.
[Bibtex]@INPROCEEDINGS{icisp, author = {C. Petitjean and Nicolas Rougon and Fran{\c{c}}oise J. Pr{\^{e}}teux and Philippe Cluzel and Philippe Grenier}, title = {A non rigid registration approach for measuring myocardial contraction in tagged MRI using exclusive f-information}, booktitle = {{IAPR Conference on Image and Signal Processing (ICISP), Agadir, Morocco}}, year = {2003}, editor = { }, number = { }, series = { }, }
2002
- C. Petitjean, Nicolas Rougon, Philippe Cluzel, Françoise J. Prêteux, and Philippe Grenier. Evaluation de techniques de recalage non rigide pour l’analyse quantitative de la fonction contractile myocardique en IRM de marquage. In Actes journées francaises de radiologie, paris, france, 2002.
[Bibtex]@InProceedings{jfr, author = {C. Petitjean and Nicolas Rougon and Philippe Cluzel and Fran{\c{c}}oise J. Pr{\^{e}}teux and Philippe Grenier}, booktitle = {Actes Journ\'ees Francaises de Radiologie, Paris, France}, title = {{Evaluation de techniques de recalage non rigide pour l'analyse quantitative de la fonction contractile myocardique en {IRM} de marquage}}, year = {2002}, } - C. Petitjean, Nicolas Rougon, Philippe Cluzel, Françoise J. Prêteux, and Philippe Grenier. Benchmarking non-rigid registration techniques for the quantitative analysis of myocardial function in tagged-MR imaging. In European congress of radiology (ecr), vienna, austria, 2002.
[Bibtex]@InProceedings{ecr, author = {C. Petitjean and Nicolas Rougon and Philippe Cluzel and Fran{\c{c}}oise J. Pr{\^{e}}teux and Philippe Grenier}, booktitle = {European Congress of Radiology (ECR), Vienna, Austria}, title = {{Benchmarking non-rigid registration techniques for the quantitative analysis of myocardial function in tagged-MR imaging}}, year = {2002}, } - P. Delmas and C. Petitjean. Level set for face feature extraction: application to lip tracking. In Image and vision computing new zealand (ivcnz), 2002.
[Bibtex]@INPROCEEDINGS{delmas, author = {P. Delmas and C. Petitjean}, title = {Level set for face feature extraction: Application to lip tracking}, booktitle = {Image and Vision Computing New Zealand (IVCNZ)}, year = {2002} }