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Caroline Petitjean
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- affiliation: University of Rouen, France
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2020 – today
- 2024
- [c43]Syed Nouman Hasany
, Fabrice Mériaudeau
A Guided Tour of Post-hoc XAI Techniques in Image Segmentation. xAI (2) 2024: 155-177 - [i8]Théo Sourget, Ahmet Akkoç, Stinna Winther, Christine Lyngbye Galsgaard, Amelia Jiménez-Sánchez, Dovile Juodelyte, Caroline Petitjean, Veronika Cheplygina:
[Citation needed] Data usage and citation practices in medical imaging conferences. CoRR abs/2402.03003 (2024) - [i7]Syed Nouman Hasany, Fabrice Mériaudeau, Caroline Petitjean:
MiSuRe is all you need to explain your image segmentation. CoRR abs/2406.12173 (2024) - 2023
- [c42]Syed Nouman Hasany, Caroline Petitjean, Fabrice Mériaudeau:
Seg-XRes-CAM: Explaining Spatially Local Regions in Image Segmentation. CVPR Workshops 2023: 3733-3738 - [c41]Syed Nouman Hasany, Caroline Petitjean, Fabrice Mériaudeau:
A study of attention information from transformer layers in hybrid medical image segmentation networks. Image Processing 2023 - [c40]Théo Sourget, Syed Nouman Hasany, Fabrice Mériaudeau, Caroline Petitjean:
Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation? MIUA 2023: 111-118 - [c39]Zoé Lambert
On the Inclusion of Topological Requirements in CNNs for Semantic Segmentation Applied to Radiotherapy. SSVM 2023: 363-375 - [e3]Jonghye Woo, Alessa Hering, Wilson Silva
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. Lecture Notes in Computer Science 14394, Springer 2023, ISBN 978-3-031-47424-8 [contents] - 2022
- [j28]Jing Zhang
Segmentation-Based vs. Regression-Based Biomarker Estimation: A Case Study of Fetus Head Circumference Assessment from Ultrasound Images. J. Imaging 8(2): 23 (2022) - [j27]Zoé Lambert
Enforcing Geometrical Priors in Deep Networks for Semantic Segmentation Applied to Radiotherapy Planning. J. Math. Imaging Vis. 64(8): 892-915 (2022) - [e2]Xinxing Xu
Resource-Efficient Medical Image Analysis - First MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13543, Springer 2022, ISBN 978-3-031-16875-8 [contents] - [i6]Rosana El Jurdi, Caroline Petitjean, Veronika Cheplygina, Paul Honeine, Fahed Abdallah
Effect of Prior-based Losses on Segmentation Performance: A Benchmark. CoRR abs/2201.02428 (2022) - [i5]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali
Biomedical image analysis competitions: The state of current participation practice. CoRR abs/2212.08568 (2022) - 2021
- [j26]Rosana El Jurdi
High-level prior-based loss functions for medical image segmentation: A survey. Comput. Vis. Image Underst. 210: 103248 (2021) - [c38]Zoé Lambert, Carole Le Guyader, Caroline Petitjean:
A Geometrically-Constrained Deep Network For Ct Image Segmentation. ISBI 2021: 29-33 - [c37]Rosana El Jurdi
A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation. MIDL 2021: 158-167 - 2020
- [j25]Rosana El Jurdi
BB-UNet: U-Net With Bounding Box Prior. IEEE J. Sel. Top. Signal Process. 14(6): 1189-1198 (2020) - [j24]Ignacio Úbeda, Jose M. Saavedra
Improving pattern spotting in historical documents using feature pyramid networks. Pattern Recognit. Lett. 131: 398-404 (2020) - [j23]Dong Nie
Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks". IEEE Trans. Biomed. Eng. 67(9): 2706 (2020) - [c36]Rosana El Jurdi
Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation. IPTA 2020: 1-5 - [c35]Zoé Lambert, Carole Le Guyader, Caroline Petitjean:
Analysis of the weighted Van der Waals-Cahn-Hilliard model for image segmentation. IPTA 2020: 1-6 - [c34]Zoé Lambert, Caroline Petitjean, Bernard Dubray, Su Ruan:
SegTHOR: Segmentation of Thoracic Organs at Risk in CT images. IPTA 2020: 1-6 - [c33]Jing Zhang, Caroline Petitjean, Samia Ainouz:
Kappa Loss for Skin Lesion Segmentation in Fully Convolutional Network. ISBI 2020: 2001-2004 - [c32]Jing Zhang, Caroline Petitjean, Florian Yger
Explainability for Regression CNN in Fetal Head Circumference Estimation from Ultrasound Images. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 73-82 - [c31]Jing Zhang, Caroline Petitjean, Pierre Lopez, Samia Ainouz:
Direct estimation of fetal head circumference from ultrasound images based on regression CNN. MIDL 2020: 914-922 - [i4]Rosana El Jurdi
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey. CoRR abs/2011.08018 (2020)
2010 – 2019
- 2019
- [j22]P. J. Sudharshan
Multiple instance learning for histopathological breast cancer image classification. Expert Syst. Appl. 117: 103-111 (2019) - [c30]Ignacio Úbeda, Jose M. Saavedra
Pattern Spotting in Historical Documents Using Convolutional Models. HIP@ICDAR 2019: 60-65 - [e1]Caroline Petitjean, Su Ruan, Zoé Lambert, Bernard Dubray:
Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, SegTHOR@ISBI 2019, April 8, 2019. CEUR Workshop Proceedings 2349, CEUR-WS.org 2019 [contents] - [i3]Ignacio Úbeda, Jose M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte:
Pattern Spotting in Historical Documents Using Convolutional Models. CoRR abs/1906.08580 (2019) - [i2]Zoé Lambert, Caroline Petitjean, Bernard Dubray, Su Ruan:
SegTHOR: Segmentation of Thoracic Organs at Risk in CT images. CoRR abs/1912.05950 (2019) - 2018
- [j21]Dong Nie
Medical Image Synthesis with Deep Convolutional Adversarial Networks. IEEE Trans. Biomed. Eng. 65(12): 2720-2730 (2018) - 2017
- [j20]Violeta Chang, Laurent Heutte, Caroline Petitjean, Steffen Härtel
Automatic classification of human sperm head morphology. Comput. Biol. Medicine 84: 205-216 (2017) - [j19]Fan Wang, Samia Ainouz, Caroline Petitjean, Abdelaziz Bensrhair:
Specularity removal: A global energy minimization approach based on polarization imaging. Comput. Vis. Image Underst. 158: 31-39 (2017) - [j18]Sovann En, Stéphane Nicolas, Caroline Petitjean, Frédéric Jurie, Laurent Heutte:
New public dataset for spotting patterns in medieval document images. J. Electronic Imaging 26(1): 11010 (2017) - [c29]Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan
Fully automated esophagus segmentation with a hierarchical deep learning approach. ICSIPA 2017: 503-506 - [c28]Roger Trullo, Caroline Petitjean, Su Ruan
Segmentation of Organs at Risk in thoracic CT images using a SharpMask architecture and Conditional Random Fields. ISBI 2017: 1003-1006 - [c27]Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan
Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures. DLMIA/ML-CDS@MICCAI 2017: 21-29 - [c26]Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan
Medical Image Synthesis with Context-Aware Generative Adversarial Networks. MICCAI (3) 2017: 417-425 - [c25]Fabio A. Spanhol
Deep features for breast cancer histopathological image classification. SMC 2017: 1868-1873 - 2016
- [j17]Damien Grosgeorge, Caroline Petitjean, Su Ruan
Multilabel statistical shape prior for image segmentation. IET Image Process. 10(10): 710-716 (2016) - [j16]Sovann En, Caroline Petitjean
A scalable pattern spotting system for historical documents. Pattern Recognit. 54: 149-161 (2016) - [j15]Arturo Mendoza Quispe, Caroline Petitjean
Extreme learning machine for out-of-sample extension in Laplacian eigenmaps. Pattern Recognit. Lett. 74: 68-73 (2016) - [j14]Fabio A. Spanhol
A Dataset for Breast Cancer Histopathological Image Classification. IEEE Trans. Biomed. Eng. 63(7): 1455-1462 (2016) - [c24]Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte, Frédéric Jurie:
Region Proposal for Pattern Spotting in Historical Document Images. ICFHR 2016: 367-372 - [c23]Fan Wang, Samia Ainouz, Caroline Petitjean, Abdelaziz Bensrhair:
Polarization-based specularity removal method with global energy minimization. ICIP 2016: 1983-1987 - [c22]Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte, Frédéric Jurie:
Pattern localization in historical document images via template matching. ICPR 2016: 2054-2059 - [c21]Fabio Alexandre Spanhol
Breast cancer histopathological image classification using Convolutional Neural Networks. IJCNN 2016: 2560-2567 - [p1]Laurent Heutte, Caroline Petitjean, Chesner Désir:
Pruning Trees in Random Forests for Minimizing non Detection in Medical imaging. Handbook of Pattern Recognition and Computer Vision 2016: 89-107 - [i1]Dong Nie, Roger Trullo, Caroline Petitjean, Su Ruan, Dinggang Shen:
Medical Image Synthesis with Context-Aware Generative Adversarial Networks. CoRR abs/1612.05362 (2016) - 2015
- [j13]Hongmei Mi, Caroline Petitjean
Robust feature selection to predict tumor treatment outcome. Artif. Intell. Medicine 64(3): 195-204 (2015) - [j12]Caroline Petitjean
Right ventricle segmentation from cardiac MRI: A collation study. Medical Image Anal. 19(1): 187-202 (2015) - [j11]Hongmei Mi, Caroline Petitjean
Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images. Medical Image Anal. 23(1): 84-91 (2015) - [c20]Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte:
Segmentation-free pattern spotting in historical document images. ICDAR 2015: 606-610 - [c19]Arturo Mendoza Quispe, Caroline Petitjean:
Shape prior based image segmentation using manifold learning. IPTA 2015: 137-142 - [c18]Sovann En, Frédéric Jurie, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte:
Linear Discriminant Analysis for Zero-shot Learning Image Retrieval. VISAPP (2) 2015: 70-77 - 2014
- [j10]Alain Rakotomamonjy, Caroline Petitjean
Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images. Artif. Intell. Medicine 61(2): 105-118 (2014) - [j9]Hongmei Mi, Caroline Petitjean
Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients With PET. IEEE Trans. Medical Imaging 33(4): 995-1003 (2014) - [c17]Paul Desbordes, Caroline Petitjean
3D automated lymphoma segmentation in PET images based on cellular automata. IPTA 2014: 23-28 - [c16]Damien Grosgeorge, Caroline Petitjean, Su Ruan:
Joint segmentation of right and left cardiac ventricles using multi-label graph cut. ISBI 2014: 429-432 - [c15]Hongmei Mi, Caroline Petitjean
Automatic lung tumor segmentation on PET images based on random walks and tumor growth model. ISBI 2014: 1385-1388 - 2013
- [j8]Damien Grosgeorge
Esophagus Segmentation from 3D CT Data Using Skeleton Prior-Based Graph Cut. Comput. Math. Methods Medicine 2013: 547897:1-547897:6 (2013) - [j7]Damien Grosgeorge, Caroline Petitjean
Graph cut segmentation with a statistical shape model in cardiac MRI. Comput. Vis. Image Underst. 117(9): 1027-1035 (2013) - [j6]Chesner Désir, Simon Bernard
One class random forests. Pattern Recognit. 46(12): 3490-3506 (2013) - [c14]Hongmei Mi, Caroline Petitjean
Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model. ISBI 2013: 1404-1407 - 2012
- [j5]Chesner Désir, Caroline Petitjean
An SVM-based distal lung image classification using texture descriptors. Comput. Medical Imaging Graph. 36(4): 264-270 (2012) - [j4]Chesner Désir, Caroline Petitjean
Classification of Endomicroscopic Images of the Lung Based on Random Subwindows and Extra-Trees. IEEE Trans. Biomed. Eng. 59(9): 2677-2683 (2012) - [c13]David Hebert, Chesner Désir, Caroline Petitjean
Detection of pathological condition in distal lung images. ISBI 2012: 1603-1606 - [c12]Chesner Désir, Simon Bernard
A Random Forest Based Approach for One Class Classification in Medical Imaging. MLMI 2012: 250-257 - [c11]Chesner Désir, Simon Bernard
A New Random Forest Method for One-Class Classification. SSPR/SPR 2012: 282-290 - 2011
- [j3]Damien Grosgeorge, Caroline Petitjean
Automatic cardiac ventricle segmentation in MR images: a validation study. Int. J. Comput. Assist. Radiol. Surg. 6(5): 573-581 (2011) - [j2]Caroline Petitjean
A review of segmentation methods in short axis cardiac MR images. Medical Image Anal. 15(2): 169-184 (2011) - 2010
- [c10]Chesner Désir, Caroline Petitjean
Using a Priori Knowledge to Classify in Vivo Images of the Lung. ICIC (2) 2010: 207-212
2000 – 2009
- 2009
- [c9]Caroline Petitjean
A Top-Down Approach for Automatic Dropper Extraction in Catenary Scenes. IbPRIA 2009: 225-232 - [c8]Aurélien Saint-Réquier, Benoît Lelandais
Characterization of Endomicroscopic Images of the Distal Lung for Computer-Aided Diagnosis. ICIC (1) 2009: 994-1003 - [c7]Caroline Petitjean, Jonathan Benoist, Luc Thiberville, Mathieu Salaün, Laurent Heutte:
Classification of In-Vivo Endomicroscopic Images of the Alveolar Respiratory System. MVA 2009: 471-474 - [c6]Caroline Petitjean, Laurent Heutte, Régis Kouadio, Vincent Delcourt:
Automatic Extraction of Droppers in Catenary Scenes. MVA 2009: 497-500 - 2008
- [c5]Florent Montreuil, Régis Kouadio, Caroline Petitjean, Laurent Heutte, Vincent Delcourt:
Automatic extraction of information for catenary scene analysis. EUSIPCO 2008: 1-5 - 2005
- [j1]Nicolas Rougon, Caroline Petitjean
A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures. Medical Image Anal. 9(4): 353-375 (2005) - 2004
- [c4]Nicolas F. Rougon, Caroline Petitjean
Building and using a statistical 3D motion atlas for analyzing myocardial contraction in MRI. Image Processing 2004 - 2003
- [b1]Caroline Petitjean:
Recalage non rigide d'images par approches variationnelles statistiques - Application à l'analyse et à la modélisation de la fonction myocardique en IRM. Paris Descartes University, France, 2003 - [c3]Caroline Petitjean, Nicolas Rougon, Françoise J. Prêteux, Philippe Cluzel, Philippe Grenier:
Measuring myocardial deformations from MR data using information-theoretic non rigid registration. CARS 2003: 1159-1164 - [c2]Caroline Petitjean
Measuring Myocardial Deformations in Tagged MR Image Sequences Using Informational Non-rigid Registration. FIMH 2003: 162-172 - [c1]Nicolas Rougon, Caroline Petitjean, Françoise J. Prêteux:
Variational non rigid image registration using exclusive F-information. ICIP (2) 2003: 703-706
Coauthor Index
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last updated on 2024-12-02 21:33 CET by the dblp team
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