On a Hybrid Joint Segmentation/Multimodal Registration Model via Finite Distortion Mappings and Implicit Neural Representations. - Chan-Sock-Line, Diane; Debroux, Noémie; Guyader, Carole Le; Petitjean, Caroline (2025)

[Citation needed] Data usage and citation practices in medical imaging conferences. - Sourget, Théo; Akkoç, Ahmet; Winther, Stinna; Galsgaard, Christine Lyngbye; Jiménez-Sánchez, Amelia; Juodelyte, Dovile; Petitjean, Caroline; Cheplygina, Veronika (2024)

Preface for International Conference on Medical Imaging with Deep Learning 2024. - Burgos, Ninon; Petitjean, Caroline; Vakalopoulou, Maria; Christodoulidis, Stergios; Coupé, Pierrick; Delingette, Hervé; Lartizien, Carole; Mateus, Diana (2024)

A Guided Tour of Post-hoc XAI Techniques in Image Segmentation. - Hasany, Syed Nouman; Mériaudeau, Fabrice; Petitjean, Caroline (2024)

Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France. (PMLR, 2024)

[Citation needed] Data usage and citation practices in medical imaging conferences. - Sourget, Théo; Akkoç, Ahmet; Winther, Stinna; Galsgaard, Christine Lyngbye; Jiménez-Sánchez, Amelia; Juodelyte, Dovile; Petitjean, Caroline; Cheplygina, Veronika (CoRR, 2024)

MiSuRe is all you need to explain your image segmentation. - Hasany, Syed Nouman; Mériaudeau, Fabrice; Petitjean, Caroline (CoRR, 2024)

Seg-XRes-CAM: Explaining Spatially Local Regions in Image Segmentation. - Hasany, Syed Nouman; Petitjean, Caroline; Mériaudeau, Fabrice (2023)

A study of attention information from transformer layers in hybrid medical image segmentation networks. - Hasany, Syed Nouman; Petitjean, Caroline; Mériaudeau, Fabrice (2023)

Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation? - Sourget, Théo; Hasany, Syed Nouman; Mériaudeau, Fabrice; Petitjean, Caroline (2023)

On the Inclusion of Topological Requirements in CNNs for Semantic Segmentation Applied to Radiotherapy. - Lambert, Zoé; Guyader, Carole Le; Petitjean, Caroline (2023)

Seg-XRes-CAM: Explaining Spatially Local Regions in Image Segmentation. - Hasany, Syed Nouman; Petitjean, Caroline; Mériaudeau, Fabrice (2023)

Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings (Springer, 2023)

Segmentation-Based vs. Regression-Based Biomarker Estimation: A Case Study of Fetus Head Circumference Assessment from Ultrasound Images. - Zhang, Jing; Petitjean, Caroline; Ainouz, Samia (J. Imaging, 2022)

Enforcing Geometrical Priors in Deep Networks for Semantic Segmentation Applied to Radiotherapy Planning. - Lambert, Zoé; Guyader, Carole Le; Petitjean, Caroline (J. Math. Imaging Vis., 2022)

Resource-Efficient Medical Image Analysis - First MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings (Springer, 2022)

Effect of Prior-based Losses on Segmentation Performance: A Benchmark. - Jurdi, Rosana El; Petitjean, Caroline; Cheplygina, Veronika; Honeine, Paul; Abdallah, Fahed (CoRR, 2022)

Biomedical image analysis competitions: The state of current participation practice. - Eisenmann, Matthias; Reinke, Annika; Weru, Vivienn; Tizabi, Minu Dietlinde; Isensee, Fabian; Adler, Tim J.; Godau, Patrick; Cheplygina, Veronika; Kozubek, Michal; Ali, Sharib; Gupta, Anubha; Kybic, Jan; et al. (CoRR, 2022)

High-level prior-based loss functions for medical image segmentation: A survey. - Jurdi, Rosana El; Petitjean, Caroline; Honeine, Paul; Cheplygina, Veronika; Abdallah, Fahed (Comput. Vis. Image Underst., 2021)

A Geometrically-Constrained Deep Network For Ct Image Segmentation. - Lambert, Zoé; Guyader, Carole Le; Petitjean, Caroline (2021)

A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation. - Jurdi, Rosana El; Petitjean, Caroline; Honeine, Paul; Cheplygina, Veronika; Abdallah, Fahed (2021)

BB-UNet: U-Net With Bounding Box Prior. - Jurdi, Rosana El; Petitjean, Caroline; Honeine, Paul; Abdallah, Fahed (IEEE J. Sel. Top. Signal Process., 2020)

Improving pattern spotting in historical documents using feature pyramid networks. - Úbeda, Ignacio; Saavedra, José M.; Nicolas, Stéphane; Petitjean, Caroline; Heutte, Laurent (Pattern Recognit. Lett., 2020)

Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks". - Nie, Dong; Trullo, Roger; Lian, Jun; Wang, Li; Petitjean, Caroline; Ruan, Su; Wang, Qian; Shen, Dinggang (IEEE Trans. Biomed. Eng., 2020)

Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation. - Jurdi, Rosana El; Dargent, Thomas; Petitjean, Caroline; Honeine, Paul; Abdallah, Fahed (2020)

Analysis of the weighted Van der Waals-Cahn-Hilliard model for image segmentation. - Lambert, Zoé; Guyader, Carole Le; Petitjean, Caroline (2020)

SegTHOR: Segmentation of Thoracic Organs at Risk in CT images. - Lambert, Zoé; Petitjean, Caroline; Dubray, Bernard; Ruan, Su (2020)

Kappa Loss for Skin Lesion Segmentation in Fully Convolutional Network. - Zhang, Jing; Petitjean, Caroline; Ainouz, Samia (2020)

Explainability for Regression CNN in Fetal Head Circumference Estimation from Ultrasound Images. - Zhang, Jing; Petitjean, Caroline; Yger, Florian; Ainouz, Samia (2020)

Direct estimation of fetal head circumference from ultrasound images based on regression CNN. - Zhang, Jing; Petitjean, Caroline; Lopez, Pierre; Ainouz, Samia (2020)

High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey. - Jurdi, Rosana El; Petitjean, Caroline; Honeine, Paul; Cheplygina, Veronika; Abdallah, Fahed (CoRR, 2020)

Multiple instance learning for histopathological breast cancer image classification. - Sudharshan, P. J.; Petitjean, Caroline; Spanhol, Fabio A.; Oliveira, Luiz Eduardo Soares de; Heutte, Laurent; Honeine, Paul (Expert Syst. Appl., 2019)

Pattern Spotting in Historical Documents Using Convolutional Models. - Úbeda, Ignacio; Saavedra, José M.; Nicolas, Stéphane; Petitjean, Caroline; Heutte, Laurent (2019)

Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, SegTHOR@ISBI 2019, April 8, 2019 (CEUR-WS.org, 2019)

Pattern Spotting in Historical Documents Using Convolutional Models. - Úbeda, Ignacio; Saavedra, José M.; Nicolas, Stéphane; Petitjean, Caroline; Heutte, Laurent (CoRR, 2019)

SegTHOR: Segmentation of Thoracic Organs at Risk in CT images. - Lambert, Zoé; Petitjean, Caroline; Dubray, Bernard; Ruan, Su (CoRR, 2019)

Medical Image Synthesis with Deep Convolutional Adversarial Networks. - Nie, Dong; Trullo, Roger; Lian, Jun; Wang, Li; Petitjean, Caroline; Ruan, Su; Wang, Qian; Shen, Dinggang (IEEE Trans. Biomed. Eng., 2018)

Automatic classification of human sperm head morphology. - Chang, Violeta; Heutte, Laurent; Petitjean, Caroline; Härtel, Steffen; Hitschfeld, Nancy (Comput. Biol. Medicine, 2017)

Specularity removal: A global energy minimization approach based on polarization imaging. - Wang, Fan; Ainouz, Samia; Petitjean, Caroline; Bensrhair, Abdelaziz (Comput. Vis. Image Underst., 2017)

New public dataset for spotting patterns in medieval document images. - En, Sovann; Nicolas, Stéphane; Petitjean, Caroline; Jurie, Frédéric; Heutte, Laurent (J. Electronic Imaging, 2017)

Fully automated esophagus segmentation with a hierarchical deep learning approach. - Trullo, Roger; Petitjean, Caroline; Nie, Dong; Shen, Dinggang; Ruan, Su (2017)

Segmentation of Organs at Risk in thoracic CT images using a SharpMask architecture and Conditional Random Fields. - Trullo, Roger; Petitjean, Caroline; Ruan, Su; Dubray, Bernard; Nie, Dong; Shen, Dinggang (2017)

Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures. - Trullo, Roger; Petitjean, Caroline; Nie, Dong; Shen, Dinggang; Ruan, Su (2017)

Medical Image Synthesis with Context-Aware Generative Adversarial Networks. - Nie, Dong; Trullo, Roger; Lian, Jun; Petitjean, Caroline; Ruan, Su; Wang, Qian; Shen, Dinggang (2017)

Deep features for breast cancer histopathological image classification. - Spanhol, Fabio A.; Oliveira, Luiz S.; Cavalin, Paulo R.; Petitjean, Caroline; Heutte, Laurent (2017)

Multilabel statistical shape prior for image segmentation. - Grosgeorge, Damien; Petitjean, Caroline; Ruan, Su (IET Image Process., 2016)

A scalable pattern spotting system for historical documents. - En, Sovann; Petitjean, Caroline; Nicolas, Stéphane; Heutte, Laurent (Pattern Recognit., 2016)

Extreme learning machine for out-of-sample extension in Laplacian eigenmaps. - Quispe, Arturo Mendoza; Petitjean, Caroline; Heutte, Laurent (Pattern Recognit. Lett., 2016)

A Dataset for Breast Cancer Histopathological Image Classification. - Spanhol, Fabio A.; Oliveira, Luiz S.; Petitjean, Caroline; Heutte, Laurent (IEEE Trans. Biomed. Eng., 2016)

Region Proposal for Pattern Spotting in Historical Document Images. - En, Sovann; Petitjean, Caroline; Nicolas, Stéphane; Heutte, Laurent; Jurie, Frédéric (2016)

Polarization-based specularity removal method with global energy minimization. - Wang, Fan; Ainouz, Samia; Petitjean, Caroline; Bensrhair, Abdelaziz (2016)

Pattern localization in historical document images via template matching. - En, Sovann; Petitjean, Caroline; Nicolas, Stéphane; Heutte, Laurent; Jurie, Frédéric (2016)

Breast cancer histopathological image classification using Convolutional Neural Networks. - Spanhol, Fabio Alexandre; Oliveira, Luiz S.; Petitjean, Caroline; Heutte, Laurent (2016)

Pruning Trees in Random Forests for Minimizing non Detection in Medical imaging. - Heutte, Laurent; Petitjean, Caroline; Désir, Chesner (2016)

Medical Image Synthesis with Context-Aware Generative Adversarial Networks. - Nie, Dong; Trullo, Roger; Petitjean, Caroline; Ruan, Su; Shen, Dinggang (CoRR, 2016)

Robust feature selection to predict tumor treatment outcome. - Mi, Hongmei; Petitjean, Caroline; Dubray, Bernard; Vera, Pierre; Ruan, Su (Artif. Intell. Medicine, 2015)

Right ventricle segmentation from cardiac MRI: A collation study. - Petitjean, Caroline; Zuluaga, Maria A.; Bai, Wenjia; Dacher, Jean-Nicolas; Grosgeorge, Damien; Caudron, Jérôme; Ruan, Su; Ayed, Ismail Ben; Cardoso, Manuel Jorge; Chen, Hsiang-Chou; Jimenez-Carretero, Daniel; Ledesma-Carbayo, María J.; et al. (Medical Image Anal., 2015)

Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images. - Mi, Hongmei; Petitjean, Caroline; Vera, Pierre; Ruan, Su (Medical Image Anal., 2015)

Segmentation-free pattern spotting in historical document images. - En, Sovann; Petitjean, Caroline; Nicolas, Stéphane; Heutte, Laurent (2015)

Shape prior based image segmentation using manifold learning. - Quispe, Arturo Mendoza; Petitjean, Caroline (2015)

Linear Discriminant Analysis for Zero-shot Learning Image Retrieval. - En, Sovann; Jurie, Frédéric; Nicolas, Stéphane; Petitjean, Caroline; Heutte, Laurent (2015)

Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images. - Rakotomamonjy, Alain; Petitjean, Caroline; Salaün, Mathieu; Thiberville, Luc (Artif. Intell. Medicine, 2014)

Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients With PET. - Mi, Hongmei; Petitjean, Caroline; Dubray, Bernard; Vera, Pierre; Ruan, Su (IEEE Trans. Medical Imaging, 2014)

3D automated lymphoma segmentation in PET images based on cellular automata. - Desbordes, Paul; Petitjean, Caroline; Ruan, Su (2014)

Joint segmentation of right and left cardiac ventricles using multi-label graph cut. - Grosgeorge, Damien; Petitjean, Caroline; Ruan, Su (2014)

Automatic lung tumor segmentation on PET images based on random walks and tumor growth model. - Mi, Hongmei; Petitjean, Caroline; Dubray, Bernard; Vera, Pierre; Ruan, Su (2014)

Esophagus Segmentation from 3D CT Data Using Skeleton Prior-Based Graph Cut. - Grosgeorge, Damien; Petitjean, Caroline; Dubray, Bernard; Ruan, Su (Comput. Math. Methods Medicine, 2013)

Graph cut segmentation with a statistical shape model in cardiac MRI. - Grosgeorge, Damien; Petitjean, Caroline; Dacher, Jean-Nicolas; Ruan, Su (Comput. Vis. Image Underst., 2013)

One class random forests. - Désir, Chesner; Bernard, Simon; Petitjean, Caroline; Heutte, Laurent (Pattern Recognit., 2013)

Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model. - Mi, Hongmei; Petitjean, Caroline; Ruan, Su; Vera, Pierre; Dubray, Bernard (2013)

An SVM-based distal lung image classification using texture descriptors. - Désir, Chesner; Petitjean, Caroline; Heutte, Laurent; Thiberville, Luc; Salaün, Mathieu (Comput. Medical Imaging Graph., 2012)

Classification of Endomicroscopic Images of the Lung Based on Random Subwindows and Extra-Trees. - Désir, Chesner; Petitjean, Caroline; Heutte, Laurent; Salaün, Mathieu; Thiberville, Luc (IEEE Trans. Biomed. Eng., 2012)

Detection of pathological condition in distal lung images. - Hebert, David; Désir, Chesner; Petitjean, Caroline; Heutte, Laurent; Thiberville, Luc (2012)

A Random Forest Based Approach for One Class Classification in Medical Imaging. - Désir, Chesner; Bernard, Simon; Petitjean, Caroline; Heutte, Laurent (2012)

A New Random Forest Method for One-Class Classification. - Désir, Chesner; Bernard, Simon; Petitjean, Caroline; Heutte, Laurent (2012)

Automatic cardiac ventricle segmentation in MR images: a validation study. - Grosgeorge, Damien; Petitjean, Caroline; Caudron, Jérôme; Fares, Jeannette; Dacher, Jean-Nicolas (Int. J. Comput. Assist. Radiol. Surg., 2011)

A review of segmentation methods in short axis cardiac MR images. - Petitjean, Caroline; Dacher, Jean-Nicolas (Medical Image Anal., 2011)

Using a Priori Knowledge to Classify in Vivo Images of the Lung. - Désir, Chesner; Petitjean, Caroline; Heutte, Laurent; Thiberville, Luc (2010)

A Top-Down Approach for Automatic Dropper Extraction in Catenary Scenes. - Petitjean, Caroline; Heutte, Laurent; Kouadio, Régis; Delcourt, Vincent (2009)

Characterization of Endomicroscopic Images of the Distal Lung for Computer-Aided Diagnosis. - Saint-Réquier, Aurélien; Lelandais, Benoît; Petitjean, Caroline; Désir, Chesner; Heutte, Laurent; Salaün, Mathieu; Thiberville, Luc (2009)

Classification of In-Vivo Endomicroscopic Images of the Alveolar Respiratory System. - Petitjean, Caroline; Benoist, Jonathan; Thiberville, Luc; Salaün, Mathieu; Heutte, Laurent (2009)

Automatic Extraction of Droppers in Catenary Scenes. - Petitjean, Caroline; Heutte, Laurent; Kouadio, Régis; Delcourt, Vincent (2009)

Automatic extraction of information for catenary scene analysis. - Montreuil, Florent; Kouadio, Régis; Petitjean, Caroline; Heutte, Laurent; Delcourt, Vincent (2008)

A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures. - Rougon, Nicolas; Petitjean, Caroline; Prêteux, Françoise J.; Cluzel, Philippe; Grenier, Philippe (Medical Image Anal., 2005)

Building and using a statistical 3D motion atlas for analyzing myocardial contraction in MRI. - Rougon, Nicolas F.; Petitjean, Caroline; Prêteux, Françoise J. (2004)

Recalage non rigide d'images par approches variationnelles statistiques - Application à l'analyse et à la modélisation de la fonction myocardique en IRM. - Petitjean, Caroline (2003)

Measuring myocardial deformations from MR data using information-theoretic non rigid registration. - Petitjean, Caroline; Rougon, Nicolas; Prêteux, Françoise J.; Cluzel, Philippe; Grenier, Philippe (2003)

Measuring Myocardial Deformations in Tagged MR Image Sequences Using Informational Non-rigid Registration. - Petitjean, Caroline; Rougon, Nicolas; Prêteux, Françoise J.; Cluzel, Philippe; Grenier, Philippe (2003)

Variational non rigid image registration using exclusive F-information. - Rougon, Nicolas; Petitjean, Caroline; Prêteux, Françoise J. (2003)