Langues

Laboratoire de recherche

UMR 6602 - UCA/CNRS
Tutelle secondaire CHU Clermont-Ferrand
Membre de Clermont Auvergne INP

Prix Jeunes Chercheurs

3 prix gagnés par nos docteurs à la 27e édition des Prix Jeunes Chercheurs de Clermont-Ferrand :

Prix Clermont Auvergne Innovation pour Guillaume Mougeot, Docteur en Image, système de perception, robotique (ED SPI) pour sa thèse en collaboration avec l'IGReD et Oxford (Nuclear Plant Envelope).

Prix INP Polytech pour Guy Vano Tsamo Tagouche, Docteur en Ingénierie des Matériaux (ED SPI) pour sa thèse.

Prix de la Fondation UCA pour Ismaël Septembre, Docteur en Physique - Milieux denses et matériaux (ED SF) pour sa thèse.

Nous félicitons Sayed Mohammadreza Shetab Bushehri, Docteur en Génie Electrique, Electronique et Systèmes (ED SPI) qui a brillamment défendu la robotique de manipulation des objets déformables.

Plateforme multi-techniques d’élaboration et de caractérisation

L'Institut Pascal, vient de se doter d'un nouveau Système d'Analyse et de Structuration des Surfaces (SASS) grâce aux financements de l'Union Européenne dans le cadre du FEDER, de la Région AURA et avec le soutien de l'UCA.Cette plateforme est dédiée à l’analyse de matériaux organiques et inorganiques avec un volume qui s'étend de la surface à une profondeur d'environ 50-100 Å. Les techniques de caractérisation disponibles sont multiples : AR-XPS, UPS, ARPES, REELS apportant des informations différentes liées à la profondeur d’analyse et à l’interaction du rayonnement électromagnétique avec la matière.

Séminaire axe ISPR

Ce lundi 28 novembre, les membres de l'axe ISPR de l'Institut Pascal se retrouvent au vert pour leur séminaire annuel permettant de faire un point sur l'ensemble des activités scientifiques du groupe et d'intégrer les nouveaux arrivants.

Collaboration Michelin - IP

Dans le cadre d'une collaboration entre l'Institut Pascal et la manufacture Michelin, une démonstration réelle s'est déroulée le jeudi 10 novembre 2022 afin de montrer les capacités d'un véhicule autonome à évoluer à 40 km/h sur une  piste particulièrement éprouvante pour les pneumatiques. Cette première démonstration rentre dans un projet plus global qui doit permettre aux deux partenaires de montrer les capacités de ce type de véhicule à réaliser en autonomie certains tests de pneumatiques mais également de travailler sur le développement de nouveaux tests dont certains plus spécifiques pour ces véhicules de demain.

La fête de la science 2022

Pour l'édition 2022 de la Fête de la Science, l'Institut Pascal était présent sur tous ses thèmes de recherche sur des sites différents du campus des Cézeaux. Les démonstrations aux chercheurs en herbe allaient de la plateforme Pavin Solaire, en passant par les véhicules autonomes, les robots et la 3D, les pouvoirs magiques de la lumière noire et sous forme d'un escape game pour les mystères des capteurs de gaz.

Journées robotiques agricoles

Les deux journées techniques du réseau R2M et du projet AgROBOFood co organisées par INRAE, CEA et Institut Pascal ont lieu ces 12 & 13 octobre sur le site de Montoldre autour des thèmes de la navigation, la sécurité et l’intelligence artificielle pour le développement de robots mobiles en agriculture et en environnement ouvert.

Annuaire

Vacavant Antoine


Photo
Fonction : Permanent (UCA)
Lieu d'exercice : IUT Le Puy-en-Velay
Equipe : CaVITI (TGI)
Section CNU : 27
Téléphone : +33471099082
Page personnelle : http://antoine-vacavant.eu


Publications associées :
40 publications trouvées


2023
COM
MOREAU M., GHZAIEL I., KRIKID F., SANMUKH S., CHARLET K., MENECIER S., PERISSE F., GIRARD S., VACAVANT A., KOSSAÏ M., SARAKHA M., SLEIMAN M., LOBACCARO J., BARON S.
Treatment of prostate cancer by cold atmospheric plasma
GdR HappyBIO 2023
2023 nov 27


2022
MOREAU M., MENECIER S., PERISSE F., VACAVANT A., BARON S., LOBACCARO J., CHARLET K., KOSSAÏ M., PENAULT-LLORCA F.
Cold plasma Treatment in Prostate Cancer
6ème journée scientifique commune TechMed
2022 oct 07


2021
ACL
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


ACTI
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


ACTN
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


COM
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


2020
ACL
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


OS
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


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


ACTI
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


COM
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


2019
ACL
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


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


ACTI
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


AFF
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.


2017
ACTI
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


AFF
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.


2016
OS
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


ACTI
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


2015
ACL
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


ACTI
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


2014
ACL
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


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


ACTI
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




<== retour à l'annuaire

Membres - ISPR

Vacavant Antoine


Photo
Fonction : Permanent (UCA)
Lieu d'exercice : IUT Le Puy-en-Velay
Equipe : CaVITI (TGI)
Section CNU : 27
Téléphone : +33471099082
Page personnelle : http://antoine-vacavant.eu


Publications associées :
40 publications trouvées


2023
COM
MOREAU M., GHZAIEL I., KRIKID F., SANMUKH S., CHARLET K., MENECIER S., PERISSE F., GIRARD S., VACAVANT A., KOSSA&IUML; M., SARAKHA M., SLEIMAN M., LOBACCARO J., BARON S.
Treatment of prostate cancer by cold atmospheric plasma
GdR HappyBIO 2023
2023 nov 27


2022
MOREAU M., MENECIER S., PERISSE F., VACAVANT A., BARON S., LOBACCARO J., CHARLET K., KOSSA&IUML; M., PENAULT-LLORCA F.
Cold plasma Treatment in Prostate Cancer
6ème journée scientifique commune TechMed
2022 oct 07


2021
ACL
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


ACTI
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


ACTN
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


COM
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


2020
ACL
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


OS
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


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


ACTI
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


COM
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


2019
ACL
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


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


ACTI
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


AFF
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.


2017
ACTI
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


AFF
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.


2016
OS
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


ACTI
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


2015
ACL
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


ACTI
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


2014
ACL
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


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


ACTI
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




<== retour à l'annuaire

Membres - M3G

Vacavant Antoine


Photo
Fonction : Permanent (UCA)
Lieu d'exercice : IUT Le Puy-en-Velay
Equipe : CaVITI (TGI)
Section CNU : 27
Téléphone : +33471099082
Page personnelle : http://antoine-vacavant.eu


Publications associées :
40 publications trouvées


2023
COM
MOREAU M., GHZAIEL I., KRIKID F., SANMUKH S., CHARLET K., MENECIER S., PERISSE F., GIRARD S., VACAVANT A., KOSSA&IUML; M., SARAKHA M., SLEIMAN M., LOBACCARO J., BARON S.
Treatment of prostate cancer by cold atmospheric plasma
GdR HappyBIO 2023
2023 nov 27


2022
MOREAU M., MENECIER S., PERISSE F., VACAVANT A., BARON S., LOBACCARO J., CHARLET K., KOSSA&IUML; M., PENAULT-LLORCA F.
Cold plasma Treatment in Prostate Cancer
6ème journée scientifique commune TechMed
2022 oct 07


2021
ACL
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


ACTI
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


ACTN
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


COM
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


2020
ACL
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


OS
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


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


ACTI
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


COM
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


2019
ACL
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


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


ACTI
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


AFF
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.


2017
ACTI
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


AFF
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.


2016
OS
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


ACTI
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


2015
ACL
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


ACTI
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


2014
ACL
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


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


ACTI
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




<== retour à l'annuaire

Membres - GePEB

Vacavant Antoine


Photo
Fonction : Permanent (UCA)
Lieu d'exercice : IUT Le Puy-en-Velay
Equipe : CaVITI (TGI)
Section CNU : 27
Téléphone : +33471099082
Page personnelle : http://antoine-vacavant.eu


Publications associées :
40 publications trouvées


2023
COM
MOREAU M., GHZAIEL I., KRIKID F., SANMUKH S., CHARLET K., MENECIER S., PERISSE F., GIRARD S., VACAVANT A., KOSSA&IUML; M., SARAKHA M., SLEIMAN M., LOBACCARO J., BARON S.
Treatment of prostate cancer by cold atmospheric plasma
GdR HappyBIO 2023
2023 nov 27


2022
MOREAU M., MENECIER S., PERISSE F., VACAVANT A., BARON S., LOBACCARO J., CHARLET K., KOSSA&IUML; M., PENAULT-LLORCA F.
Cold plasma Treatment in Prostate Cancer
6ème journée scientifique commune TechMed
2022 oct 07


2021
ACL
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


ACTI
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


ACTN
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


COM
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


2020
ACL
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


OS
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


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


ACTI
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


COM
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


2019
ACL
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


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


ACTI
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


AFF
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.


2017
ACTI
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


AFF
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.


2016
OS
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


ACTI
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


2015
ACL
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


ACTI
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


2014
ACL
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


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


ACTI
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




<== retour à l'annuaire

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