MESSAOUDI R., JAZIRI F., MTIBAA A., GARGOURI F., VACAVANT A.
Ontology-Driven Approach for Liver MRI Classification and HCC Detection
International Journal of Pattern Recognition and Artificial Intelligence, vol. 35, p. 7
2021


AFFANE A., KUCHARSKI A., CHAPUIS P., FREYDIER S., LEBRE M., VACAVANT A., FABIJANSKA A.
Segmentation of Liver Anatomy by Combining 3D U-Net Approaches
Applied Sciences, vol. 11, p. 4895
2021


VACAVANT A.
Smoothed Shock Filtering: Algorithm and Applications
Journal of Imaging, vol. 7, p. 56
2021


CARNEIRO ESTEVES S., VACAVANT A., MERVEILLE O.
Learning a reconnecting regularization term for blood vessel variational segmentation
ieee-embs international conference on biomedical and health informatics (bhi)
2021 jul


VACAVANT A., KERAUTRET B., FESCHET F.
Segment- and Arc-Based Vectorizations by Multi-scale/Irregular Tangential Covering
ISGV 2021: Geometry and Vision - International Symposium on Geometry and Vision
2021


LAMY J., MERVEILLE O., KERAUTRET B., PASSAT N., VACAVANT A.
Vesselness filters: a survey with benchmarks applied to liver imaging
international conference on pattern recognition (icpr)
2021 jan


CARNEIRO ESTEVES S., VACAVANT A., MERVEILLE O.
Apprentissage d'un terme de regularisation reconnecteur pour la segmentation de vaisseaux sanguins par approche variationnelle
orasis 2021
2021 sep


MENECIER S., BARON S., LOBACCARO J., PERISSE F., VACAVANT A.
Traitement du cancer de la prostate par plasma froid
clermont innovation week
2021 apr


AFFANE A., VACAVANT A., LEBRE M., LAMY J.
Une combinaison de filtres de rehaussement des vaisseaux avec des architectures3d u-net pour la segmentation des vaisseaux hepatiques
orasis 2021
2021 sep


MESSAOUDI R., MTIBAA A., VACAVANT A., GARGOURI F., JAZIRI F.
Ontologies for Liver Diseases Representation: A Systematic Literature Review
Journal of Digital Imaging, vol. 33, p. 563
2020 jun


FOFANA M., BUNAY J., JUDEE F., BARON S., MENECIER S., NIVOIX M., PERISSE F., VACAVANT A., BALANDRAUD X.
Selective treatments of prostate tumor cells with a cold atmospheric plasma jet
clinical plasma medicine, vol. 17, p. 100098
2020 mar


MESSAOUDI R., JAZIRI F., VACAVANT A., MTIBAA A., GARGOURI F.
A novel deep learning approach for liver mri classification and hcc detection
a novel deep learning approach for liver mri classification and hcc detection Springer
2020 oct


PASSAT N., KURTZ C., VACAVANT A.
Editorial - virtual special issue: "hierarchical representations: new results and challenges for image analysis"
elsevier Elsevier Science Direct
2020


DEBROUX N., LIENEMANN G., MAGNIN B., LE GUYADER C., VACAVANT A.
A time-dependent joint segmentation and registration model: application to longitudinal registration of hepatic dce-mri sequences
international conference on image processing theory, tools and applications
2020 nov


AFFANE A., LEBRE M., MITTAL U., VACAVANT A.
Literature Review of Deep Learning Models for Liver Vessels Reconstruction
Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)
2020 nov 09


LEBRE M., VACAVANT A., GRAND-BROCHIER M., ROSITI H., STRAND R., ROSIER H., ABERGEL A., CHABROT P., MAGNIN B.
A robust multi-variability model based liver segmentation algorithm for CT-scan and MRI modalities
Computerized Medical Imaging and Graphics, vol. 76, p. 101635
2019


LEBRE M., VACAVANT A., GRAND-BROCHIER M., ROSITI H., ABERGEL A., CHABROT P., MAGNIN B.
Automatic segmentation methods for liver and hepatic vessels from CT and MRI volumes, applied to the Couinaud scheme
Computers in Biology and Medicine, vol. 110, p. 42
2019


MESSAOUDI R., JAZIRI F., MTIBAA A., GRAND-BROCHIER M., MOHAMED ALI H., AMOURI A., FOURATI H., CHABROT P., GARGOURI F., VACAVANT A.
Ontology-based approach for liver cancer diagnosis and treatment
Journal of Digital Imaging, vol. 32, p. 116
2019


NEIVA M., VACAVANT A., BRUNO O.
Improving texture extraction and classification using smoothed morphological operators
Digital Signal Processing, vol. 83, p. 24--34
2018


PAVAN A., BENABDALLAH M., LEBRE M., DE PINA D., JAZIRI F., VACAVANT A., MTIBAA A., MOHAMED ALI H., GRAND-BROCHIER M., ROSITI H., MAGNIN B., ABERGEL A., CHABROT P.
A parallel framework for HCC detection in DCE-MRI sequences with wavelet-based description and SVM classification
ACM SAC 2018
2018


LEBRE M., VACAVANT A., GRAND-BROCHIER M., MERVEILLE O., ABERGEL A., CHABROT P., MAGNIN B.
Automatic 3-D skeleton-based segmentation of liver vessels from MRI and CT for Couinaud representation
IEEE ICIP 2018
2018


PAVAN A., VACAVANT A., ALVES A., TRINDADE A., DE PINA D.
Automatic identification and extraction of pectoral muscle in digital mammography
IFMBE 2018
2018


FABIJANSKA A., VACAVANT A., LEBRE M., PAVAN A., DE PINA D., ABERGEL A., CHABROT P., MAGNIN B.
U-CatcHCC: an accurate HCC detector in hepatic DCE-MRI sequences based on an U-Net framework
ICCVG 2018
2018


ROSITI H., LEBORGNE A., LEBRE M., GRAND-BROCHIER M., CHAUVEAU F., WIART M., OLIVIER C., PEYRIN F., VACAVANT A.
Computational 2D and 3D extraction of liver mouse vasculature within synchrotron radiation X-ray phase tomography
Neubias Symposium
2018 jan.


KERAUTRET B., NGO P., KENMOCHI Y., VACAVANT A.
Greyscale image vectorization from geometric digital contour representations
DGCI 2017
2017


LEBRE M., ARROUK K., VO VAN A., LEBORGNE A., GRAND-BROCHIER M., BEAUREPAIRE P., VACAVANT A., MAGNIN B., ABERGEL A., CHABROT P.
Medical image processing and numerical simulation for digital hepatic parenchymal blood flow
SASHIMI Workshop in MICCAI 2017
2017


VACAVANT A., KERAUTRET B., ROUSSILLON T., FESCHET F.
Reconstructions of noisy digital contours with maximal primitives based on multi-scale/irregular geometric representation and generalized linear programming
DGCI 2017
2017


ROSITI H., GRAND-BROCHIER M., COURBON J., VACAVANT A., LOHOU C.
Prototypage rapide d'applications d'imagerie médicale exploitant un casque de réalité virtuelle
Recherche en Imagerie et Technologies pour la Santé
2017 mar.


VACAVANT A., BIANCHI K., CERUTTI G., CASSAGNES L., SARRY L., TOUGNE L.
Model-based segmentation algorithms for myocardial magnetic resonance imaging sequences
Biomedical Image Segmentation : Advances and Trends Chapman and Hall/CRC
2016


VACAVANT A.
A novel definition of robustness for image processing algorithm
RRPR Workshop in IEEE ICPR 2016
2016


VACAVANT A., LEBORGNE A.
Robust computations of reeb graphs in 2-D binary images
CTIC 2016
2016


BEITONE C., BIANCHI K., BOUGES P., STOICA R., TUYISENGE V., CASSAGNES L., CHAUSSE F., CLARYSSE P., CLERFOND G., CROISILLE P., MERLIN C., POUSIN J., TILMANT C., VACAVANT A., SARRY L.
Multimodal quantification and validation of 3D regional myocardial function
IRBM, vol. 36, p. 70--79
2015


VACAVANT A., ALI A., GRAND-BROCHIER M., ALBOUY-KISSI A., BOIRE J., ALFIDJA A., CHABROT P.
Smoothed shock filtered defuzzification with Zernike moments for liver tumor extraction in MR images
IEEE IPTA 2015
2015


SOBRAL A., VACAVANT A.
A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos.
Computer Vision and Image Understanding, vol. 122, p. 4--21
2014


VACAVANT A., TOUGNE L., ROBINAULT L., CHATEAU T.
Special section on background models comparison
computer vision and image understanding, vol. 122, p. 1--3
2014


BOUWMANS T., PORIKLI F., HORFERLIN B., VACAVANT A.
Background Modeling and Foreground Detection for Video Surveillance
Chapman and Hall CRC
2014


GERARD Y., VACAVANT A.
About the maximum cardinality of the digital cover of a curve with a given length
DGCI 2014
2014


FARD H., CHAOUCH M., PHAM Q., VACAVANT A., CHATEAU T.
Joint hierarchical learning for efficient multi-class object detection
IEEE Winter Conference on Applications of Computer Vision (WACV), 2014
2014 mar