Antoine Vacavant

International book, special issues and proceedings

K.C. Santosh, A. Makkar, M. Conway, A.K. Singh, A. Vacavant, A.A. El Kalam, M.-R. Bouguelia, R.S. Hegadi: International Conference on Recent Trends in Image Processing and Pattern Recognition 2023. Communications in Computer and Information Science, 2024.
N. Debroux, M.-A. Lebre, O. Merveille, A. Vacavant. Advances in variational image processing. Special session of IEEE IPTA 2020.
A. Vacavant: Robust image processing. Special issue of Journal of Imaging. MDPI, 2020.
N. Passat, C. Kurtz, A. Vacavant: HIERARCHY: Hierarchical representations: new results and challenges for image analysis. Special issue of Pattern Recognition Letters. Elsevier, 2019-2020.
A. Vacavant, M. Grand-Brochier, C. Spampinato, R. Strand: SPECIAL: Spread Evaluation and Comparison of Image Analysis Algorithms. Special issue of Computer Image Analysis. Frontiers, 2016.
A. Albouy-Kissi, M. Grand-Brochier, A. Vacavant: Defuzzification: When discrete geometry meets fuzzy geometry. Special session of IEEE IPTA 2015.
T. Bouwmans, F. Porikli, B. Hörferlin, A. Vacavant: Background modeling and foreground detection for video surveillance. Chapman and Hall/CRC, 2014. ISBN 1482205386.
A. Vacavant, L. Tougne, L. Robinault, T. Chateau: Background models comparison. Special issue of Computer Vision and Image Understanding. Elsevier, 2014.
A. Vacavant, L. Tougne, L. Robinault, T. Chateau: BMC: Background models challenge. Workshop of ACCV 2012, LNCS 7728. Springer, 2012.

International and national book chapters

R. Challah, A. Leborgne, A. Vacavant: Les injonctions numériques permettent-elles de réellement engager les apprenants ?. In Trajectoires, numérique et professionnalisation du supérieur. Presses des Mines, 2026.
A. Vacavant, K. Bianchi, G. Cerutti, L. Cassagnes, L. Sarry, L. Tougne: Model-based segmentation algorithms for myocardial magnetic resonance imaging sequences. In A. El-Baz, editors: Biomedical Image Segmentation : Advances and Trends. Chapman and Hall/CRC, 2016.
A. Vacavant, L. Tougne, T. Chateau, L. Robinault: Evaluation of background models with synthetic and real data. In T. Bouwmans, F. Porikli, B. Hörferlin, A. Vacavant, editors: background modeling and foreground detection for video surveillance. Chapman and Hall/CRC, 2014.
D. Coeurjolly, A. Vacavant: Separable distance transform and its applications. In R. Barneva, V. Brimkov, editors: Digital geometry algorithms, theoretical foundations and applications to computational imaging. Springer, 2012.

International and national journal articles

M. Cavicchioli, A. Moglia, G. Garret, M. Puglia, A. Vacavant, G. Pugliese, P. Cerveri: D2-RD-UNet: a dual-stage dual-class framework with connectivity correction for hepatic vessels segmentation. Computers in Biology and Medicine, 2025, to appear.
A. Affane, M.A. Chetoui, J. Lamy, G. Lienemann, R. Peron, P. Beaurepaire, G. Dolle, M.-A. Lebre, B. Magnin, O. Merveille, M. Morvan, P. Ngo, T. Pelletier, H. Rositi, S. Salmon, J. Finet, B. Kerautret, N. Passat, A. Vacavant: The R-Vessel-X project. Innovation and Research in BioMedical Engineering, 46(1):100876, 2025.
D.M. Seraphim, R.A. Camargo Guassu, M. Alvarez, M. Bannwart Mendes, K.I. Tasca, A.N. Barbosa, A. Vacavant, C.M. Castelo Branco Fortaleza, D.R. Pina: Prognostic Implications of Regional Lung Impairment Evaluation in Quantitative CT Imaging of COVID-19. Clinical Radiology, 106779, 2024.
F. Krikid, H. Rositi, A. Vacavant: State-of-the-Art Deep Learning Methods for Microscopic Image Segmentation: Applications to Cells, Nuclei, and Tissues. MDPI Journal of Imaging, 10(12), 2024.
D.M. Seraphim, K.H. Koga, A. Vacavant, D.R. Pina: How anatomical impairments found on CT affect Perfusion Percentage assessed by SPECT/CT scan? Annals of Nuclear Medicine journal, 38:960-970, 2024.
N. Nafti, O. Besbes, A. Ben Abdallah, A. Vacavant, M.H. Bedoui: A Fast Residual Attention Network for Fine-grained Unsupervised Anomaly Detection and Localization. Applied Soft Computing, 165:112066, 2024.
S. Carneiro-Esteves, A. Vacavant, O. Merveille: A plug and play framework for curvilinear structures segmentation based on a learned reconnecting regularization. Neurocomputing, 599:128055, 2024.
J. Gobé, H. Rositi, A. Vacavant, M. Rivière, C. Po, M. Chourrout, F. Chauveau: High-resolution brain tractography from X-ray phase-contrast images. European Physical Journal Plus, 139(571), 2024.
A. Zeghina, A. Leborgne, F. Le Ber, A. Vacavant: Deep learning on spatio-temporal graphs: a systematic review, methodological landscape, and research opportunities. Neurocomputing, 594:127861, 2024.
S.A.S. Souza, R.A.C. Guassu, A.F.F. Alves, M. Alvarez, L.C.C. Pitanga, F. Reis, A. Vacavant, J.R.A. Miranda, J.C.S. Trindade Filho, D.R. Pina: Texture analysis: a potential tool to differentiate primary brain tumors and solitary brain metastasis. Multimedia Tools and Applications, 83:39523–39535, 2023.
A. Affane, J. Lamy, M.-A. Lebre, A. Vacavant: Robust deep 3-D architectures based on vascular patterns for liver vessel segmentation. Informatics in Medicine Unlocked, 34:101111, 2022.
J. Lamy, T. Pelletier, G. Lienemann, B. Magnin, B. Kerautret, N. Passat, J. Finet, A. Vacavant: The 3D Slicer RVXLiverSegmentation plug-in for interactive liver anatomy reconstruction from medical images. The Journal of Open Source Software, 7(73), 3920, 2022.
A. Affane, A. Kucharski, P. Chapuis, S. Freydier, M.-A. Lebre, A. Vacavant, A. Fabijańska: Segmentation of liver anatomy by combining 3-D U-Net approaches. MDPI Journal of Applied Sciences, 11(11):4895, 2021.
A. Vacavant: Smoothed shock filtering: algorithm and applications. MDPI Journal of Imaging, 7(3):56, 2021.
R. Messaoudi, F. Jaziri, A. Mtibaa, F. Gargouri, A. Vacavant: Ontology-driven approach for liver MRI classification and HCC detection. International Journal of Pattern Recognition and Artificial Intelligence, 2021.
N. Passat, C. Kurtz, A. Vacavant: Editorial - Virtual Special Issue: Hierarchical representations: new results and challenges for image analysis. Pattern Recognition Letters, 138:201-203, 2020.
M. Fofana, H. El Bayda, J. Bunay, F. Judée, S. Baron, S. Menecier, M. Nivoix, F. Perisse, A. Vacavant, X. Balandraud: Selective treatments of prostate tumor cells with a cold atmospheric plasma jet. Clinical Plasma Medicine, 17-18:100098, 2020.
M. Bahaghighat, S. A. Motamedi, Q. Xin, A. Vacavant: Estimation of wind turbine angular velocity found on video mining and convolutional neural network. MDPI Journal of Applied Sciences, 10:3544, 2020.

R. Messaoudi, A. Mtibaa, A. Vacavant, F. Gargo ri, F. Jaziri: Ontologies for liver diseases representation: A systematic litterature review. Journal of Digital Imaging, 33(3):563-573, 2020.
M.-A. Lebre, A. Vacavant, M. Grand-Brochier, R. Strand, H. Rosier, A. Abergel, P. Chabrot, B. Magnin: A robust multi-variability model based liver segmentation algorithm for CT-scan and MRI modalities. Computerized Medical Imaging and Graphics, 76, 2019.
M.-A. Lebre, A. Vacavant, M. Grand-Brochier, H. Rositi, A. Abergel, P. Chabrot, B. Magnin: Automatic segmentation methods for liver and hepatic vessels from CT and MRI volumes, applied to the Couinaud scheme. Computers in Biology and Medicine, 110:42-51, 2019.
R. Messaoudi, F. Jaziri, A. Mtibaa, M. Grand-Brochier, H. Mohamed Ali, A. Amouri, H. Fourati, P. Chabrot, F. Gargouri, A. Vacavant: Ontology-based Approach for Liver Cancer Diagnosis and Treatment. Journal of Digital Imaging, 32(1):116-130, 2019.
M.B. Neiva, A. Vacavant, O.M. Bruno: Improving texture extraction and classification using smoothed morphological operators. Digital signal processing, 83:24-34, 2018.
A.L.M. Pavan, A. Vacavant, A.P. Trindade, D.R. de Pina: Fibroglandular tissue quantification in mammography by optimized fuzzy C-Means with variable compactness. Innovation and Research in BioMedical Engineering, 38(4):228–233, 2017.
Y. Gerard, A. Vacavant, J.-M. Favreau: Tight bounds in the quadtree complexity theorem and the maximal number of pixels crossed by a curve of given length. Theoretical Computer Science, 624:41–55, 2016.
M. Grand-Brochier, A. Vacavant, G. Cerutti, C. Kurtz, J. Weber, L. Tougne: Tree leaves extraction in natural images : Comparative study of pre-processing tools and segmentation methods. IEEE Transactions on Image Processing, 24(5):1549–1560, 2015.
C. Beitone, K. Bianchi, P. Bouges, R. Stoica, V. Tuyisenge, L. Cassagnes, F. Chausse, P. Clarysse, G. Clerfond, P. Croisille, C. Merlin, J. Pousin, C. Tilmant, A. Vacavant, L. Sarry: Multimodal quantification and validation of 3D regional myocardial function. Innovation and Research in BioMedical Engineering, 36(2):70–79, 2015.
G. Cerutti, L. Tougne, D. Coquin, A. Vacavant: Leaf margins as sequences : a structural approach to leaf identification. Pattern Recognition Letters, 49:177–184, 2014.
A. Vacavant, L. Tougne, L. Robinault, T. Chateau: Special section on background models comparison. Computer Vision and Image Understanding, 122:1-3, 2014.
A. Sobral, A. Vacavant: A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos. Computer Vision and Image Understanding, 122:4–21, 2014.
G. Cerutti, L. Tougne, J. Mille, A. Vacavant, D. Coquin: Understanding leaves in natural images – a model-based approach for tree species identification. Computer Vision and Image Understanding, 117(10):1482–1501, 2013.
A. Vacavant, T. Roussillon, B. Kerautret, J.-O. Lachaud: A combined multi-scale/irregular algorithm for the vectorization of noisy digital contours. Computer Vision and Image Understanding, 117(4):438–450, 2013.
N. Thome, A. Vacavant, L. Robinault, S. Miguet: A cognitive and video-based approach for multinational license plate recognition. Machine Vision and Applications, 22(2):389–407, 2011.
A. Vacavant: Fast distance transformation on two-dimensional irregular grids. Pattern Recognition, 43(10):3348–3358, 2010.
A. Vacavant, D. Coeurjolly, L. Tougne: A framework for dynamic implicit curve approximation by an irregular discrete approach. Graphical Models, 71(3):113–124, 2009.
Thierry Chateau, A. Vacavant: Suivi de gestes temps réel par traitements d’images couleur. Traitement du Signal, numéro spécial Imagerie Couleur, 21(1), 2005.

Papers in proceedings of international conferences

Z. Sayedi, A novel integrative ontology-based approach for Lung Cancer and Pulmonary Nodule Classification. Best paper award. In ICIKS 2025, Tunisia, 2025.
G. Garret, A. Vacavant, C. Frindel: Do Segmentation Models Understand Vascular Structure? A Blob-Based Saliency Framework. In iMIMIC@MICCAI 2025, Daejeon, South Korea, 2025.
B. Chivet, N. Debroux, M. Grand-Brochier, A. Vacavant: Hessian-based Deep Retinal Vessel Segmentation with Extremely Few Annotations. In MIUA 2025, Leeds, UK, 2025.
A. Zeghina, A. Leborgne, F. Le Ber, A. Vacavant: Deep QMiner: Towards a generalized DeepQ-Learning Approach for Graph Pattern Mining. In GbRPR 2025, Caen, France, 2025.
A. Zeghina, A. Leborgne, F. Le Ber, A. Vacavant: Extraction de motifs spatio-temporels fréquents dans les données Corine Land Cover - Une approche exploitant la méthode Multi-SPMiner. In SAGEO 2025, Avignon, France, 2025.
R. Lhoste, D. Delhay, A. Vacavant: MAESTRO: A full point cloud approach for anomaly detection 3D based on reconstruction. In VISAPP 2025, Porto, Portugal 2025.
S. Carneiro-Esteves, A. Vacavant, O. Merveille: Restoring connectivity in vascular segmentations using a learned post-processing model. In TGI@MICCAI 2024, Marrakesh, Morocco, 2024.
W. Essalah, F. Jaziri, A. Mtibaa, A. Vacavant: Advancing Liver cancer research: a graph-based approach for ontology enrichment and link prediction. In KES 2024, Seville, Spain, 2024.
G. Garret, A. Vacavant, C. Frindel: Deep vessel segmentation based on a new combination of vesselness filters. In IEEE ISBI 2024, Athens, Greece, 2024.
A. Zeghina, A. Leborgne, F. Le Ber, A. Vacavant: Multi-SPMiner: a deep learning framework for multi-graph frequent pattern mining with application to spatio-temporal graphs. In KES 2023, Athens, Greece, 2023.
M. Alvarez, D.R. de Pina, H. Rositi, A. Vacavant: Comparison of UNet and DC-UNet models for an efficient segmentation and visualization of rodent hepatic vascular network from X-ray phase contrast imaging. In IEEE ISBI 2023, Cartagena de Indias, Colombia, 2023.
S. Carneiro-Esteves, A. Vacavant, O. Merveille: Learning a reconnecting regularization term for blood vessel variational segmentation. In IEEE BHI 2021 (virtual).
F. Jaziri, R. Messaoudi, A. Mtibaa, J. Courbon, M. Kilani, M. Mhiri, A. Vacavant: ORVIPO: an ontological prototype for modeling 3D scenes in operating rooms. In KES 2021, Procedia Computer Science 192, pages 1152-1161, Szczecin, Poland, 2021.
A. Vacavant, B. Kerautret, F. Feschet: Segment- and arc-based vectorizations by multi-scale/irregular tangential covering. In ISGV 2021, Springer CCIS 1386, pages 190-202, Auckland, New-Zeland, 2021.
N. Debroux, G. Lienemann, B. Magnin, C. Le Guyader, A. Vacavant: A time-dependent joint segmentation and registration model: Applications to longitudinal registration of hepatic DCE-MRI sequences. In IEEE IPTA 2020, Paris, France, 2020.
A. Affane, M.-A. Lebre, U. Mittal, A. Vacavant: Literature review of deep learning models for liver vessels reconstruction. In IEEE IPTA 2020, Paris, France, 2020.
J. Lamy, O. Merveille, B. Kerautret, N. Passat, A. Vacavant: Vesselness filters: A survey with benchmarks applied to liver imaging. In IEEE ICPR 2020, Milano, Italy, 2021.
R. Messaoudi, F. Jaziri, A. Vacavant, A. Mtibaa, F. Gargouri: A novel deep learning approach for liver MRI classification and HCC detection. In ICPRAI 2020, Springer LNCS 12068, pages 635-645, Zhongshan, China, 2020.

A. Vacavant, M.-A. Lebre, H. Rositi, M. Grand-Brochier, R. Strand: New definition of quality-scale robustness for image processing algorithms, with generalized uncertainty modeling, applied to denoising and segmentation. In IEEE RRPR@ICPR 2018, Springer LNCS 11455, pages 138-149, Beijing, China, 2018.
R. Messaoudi, T. Labidi, A. Vacavant, F. Gargouri, M. Grand-Brochier, A. Mtibaa, F. Jaziri: An ontological model for analyzing liver cancer medical reports. In EMCIS 2018, Springer LNBIP 341, pages 369-382, Limassol, Cyprus, 2018.
M.-A. Lebre, A. Vacavant, M. Grand-Brochier, O. Merveille, A. Abergel, P. Chabrot, B. Magnin: Automatic 3-D skeleton-based segmentation of liver vessels from MRI and CT for Couinaud representation. In IEEE ICIP 2018, Athens, Greece, 2018.
A. Fabijanska, A. Vacavant, M.-A. Lebre, A.L.M. Pavan, D.R. de Pina, A. Abergel, P. Chabrot, B. Magnin: U-CatcHCC: An accurate HCC detector in hepatic DCE-MRI sequences based on an U-Net framework. In ICCVG 2018, Springer LNCS 11114, pages 319-328, Warsaw, Poland, 2018.
A.L.M. Pavan, A. Vacavant, A.F.F. Alves, A.P. Trindade, D.R. de Pina: Automatic identification and extraction of pectoral muscle in digital mammography. In Springer IFMBE 68/1, 2018.
A.L.M. Pavan, M. Benabdallah, M.-A. Lebre, D.R. de Pina, F. Jaziri, A. Vacavant, A. Mtibaa, H. Mohamed Ali, M. Grand-Brochier, H. Rositi, B. Magnin, A. Abergel, P. Chabrot: A parallel framework for HCC detection in DCE-MRI sequences with wavelet-based description and SVM classification. In ACM ACMMIPH@SAC 2018, Pau, France, 2018.
M.-A. Lebre, K. Arrouk, A.-K. Võ Van, A. Leborgne, M. Grand-Brochier, P. Beaurepaire, A. Vacavant, B. Magnin, A. Abergel, P. Chabrot: Medical image processing and numerical simulation for digital hepatic parenchymal blood flow. In SASHIMI@MICCAI 2017, Springer LNCS 10557, pages 99–108, Quebec, Canada, 2017.
A. Vacavant, B. Kerautret, T. Roussillon, F. Feschet: Reconstructions of noisy digital contours with maximal primitives based on multi-scale/irregular geometric representation and generalized linear programming. In DGCI 2017, Springer LNCS 10502, pages 291–303, Vienna, Austria, 2017.
B. Kerautret, P. Ngo, Y. Kenmochi, A. Vacavant: Greyscale image vectorization from geometric digital contour representations. In DGCI 2017, Springer LNCS 10502, pages 319–331, Vienne, Autriche, 2017.
A. Vacavant: A novel definition of robustness for image processing algorithm. In IEEE RRPR@ICPR 2016, Springer LNCS 10214, pages 75–87, Cancún, Mexico, 2016.
A. Vacavant, A. Leborgne: Robust computations of reeb graphs in 2-D binary images. In CTIC 2016, Springer LNCS 9667, pages 204–215, Marseille, France, 2016.
A. Vacavant, A.-R. Ali, M. Grand-Brochier, A. Albouy-Kissi, J.-Y. Boire, A. Alfidja et P. Chabrot: Smoothed shock filtered defuzzification with Zernike moments for liver tumor extraction in MR images. In IEEE IPTA 2015, Orléans, France, 2015.
A.-R. Ali, A. Vacavant, M. Grand-Brochier, A. Albouy-Kissi, J.-Y. Boire: A fuzzy approach to liver tumor segmentation with Zernike moments. In ICMET 2015, Paris, France, 2015.
A.-R. Ali, A. Albouy-Kissi, M. Grand-Brochier, V. Ladan-Marcus, C. Hoeffl, C. Marcus, A. Vacavant, J.-Y. Boire: Liver lesion extraction with fuzzy thresholding in contrast enhanced ultrasound images. In ICMET 2015, Paris, France, 2015.
Y. Gerard, A. Vacavant: About the maximum cardinality of the digital cover of a curve with a given length. In DGCI 2014, SpringerLNCS 8668, pages 13–24, Sienna, Italy, 2014.
H. Odabai Fard, M. Chaouch, Q. C. Pham, A. Vacavant, T. Chateau: Joint hierarchical learning for efficient multi-class object detection. In IEEE WACV 2014, Steamboat Springs, Colorado, USA, 2014.
A.-R. Ali, A. Albouy-Kissi, A. Vacavant, M. Grand-brochier, J.-Y. Boire: A novel fuzzy C-means based defuzzification approach with an adapted minkowski distance. In CVWW 2014, Krtiny, Czech Republic, 2014.
M. Grand-Brochier, A. Vacavant, R. Strand, G. Cerutti, L. Tougne: About the impact of pre-processing tools on segmentation methods, applied for tree leaves extraction. In VISAPP 2014, Lisbon, Portugal, 2014.

Joint learning for multi-class object detection

G. Cerutti, L. Tougne, D. Coquin, A. Vacavant: Late information fusion for multi-modality plant species identification. In CLEF 2013, Valence, Espagne, 2013.
M. Grand-Brochier, A. Vacavant, G. Cerutti, K. Bianchi, L. Tougne: Comparative study of segmentation methods for tree leaves extraction. In ACM VIGTA@ICVS 2013, Saint-Petersburg, Russia, 2013.
K. Bianchi, A. Vacavant, R. Strand, P. Tervé, L. Sarry: Dual B-spline snake for interactive myocardial segmentation. In MIUA 2013, Birmingham, United-Kingdom, 2013.
G. Cerutti, L. Tougne, J. Mille, A. Vacavant, D. Coquin: A model-based approach for compound leaves understanding and identification. In IEEE ICIP 2013, Melbourne, Australia, 2013.
J.-L. Toutant, A. Vacavant, B. Kerautret: Arc recognition on irregular isothetic grids and its application to reconstruction of noisy digital contour. In DGCI 2013, Springer LNCS 7749, pages 265–276, Sevilla, Spain, 2013.
G. Cerutti, V. Antoine, L. Tougne, J. Mille, L. Valet, D. Coquin, A. Vacavant: ReVeS participation - tree species classification using random forests and botanical features. In CLEF 2012, Roma, Italy, 2012.
A. Vacavant, T. Chateau, A. Wilhelm, L. Lequievre: A benchmark dataset for outdoor foreground/background extraction. In BMC@ACCV 2012, LNCS 7728, Daejeon, Korea, 2012. Springer.
A. Vacavant, A. Albouy-Kissi, P.-Y. Menguy, J. Solomon: Fast smoothed shock filtering. In IEEE ICPR 2012, Tsukuba, Japan, 2012.
G. Cerutti, L. Tougne, J. Mille, A. Vacavant, D. Coquin: Guiding active contours for tree leaf segmentation and identification. In CLEF 2011, Amsterdam, Netherlands, 2011.
G. Cerutti, A. Vacavant, L. Tougne, D. Coquin: A parametric active polygon for leaf segmentation and shape estimation. In ISVC 2011, Springer LNCS 6938, Las Vegas, Nevada, USA, 2011.
A. Vacavant, T. Roussillon, B. Kerautret: Unsupervised polygonal reconstruction of noisy contours by a discrete irregular approach. In IWCIA 2011, Springer LNCS 6636, pages 389–409, Madrid, Spain, 2011.
A. Vacavant, L. Robinault, S. Miguet, C. Poppe, R. van de Walle: Adaptive background subtraction in H.264/AVC bitstreams based on macroblock sizes. In VISAPP 2011, Algarve, Portugal, 2011.
Y. Dhome, N. Tronson, A. Vacavant, T. Chateau, C. Gabard, Y. Goyat, D. Gruyer: A benchmark for background subtraction algorithms in monocular vision: a comparative study. In IEEE IPTA 2010, Paris, France, 2010.
A. Vacavant, D. Coeurjolly: Medial axis extraction on irregular isothetic grids. In IWCIA 2009, RPS Progress in Combinatorial Image Analysis, pages 207–220, Mexico, Nov. 2009.
A. Vacavant, David Coeurjolly, Laure Tougne: A novel algorithm for distance transformation on irregular isothetic grids. In DGCI 2009, Springer LNCS 5810, pages 469–480, Montreal, Canada, 2009.
A. Vacavant, David Coeurjolly, Laure Tougne: Distance transformation on two-dimensional irregular isothetic grids. In DGCI 2008, Springer LNCS 4992, pages 238–249, Lyon, France, 2008.
A. Vacavant, D. Coeurjolly, L. Tougne: Dynamic reconstruction of complex planar objects on irregular isothetic grids. In ISVC 2006, Springer LNCS 4292, pages 205–214, Lake Tahoe, Nevada, USA, 2006.
A. Vacavant, D. Coeurjolly, L. Tougne: Topological and geometrical reconstruction of complex objects on irregular isothetic grids. In DGCI 2006, Springer LNCS 4245, pages 470–481, Szeged, Hungary, 2006.
A. Vacavant, T. Chateau: Realtime head and hands tracking by monocular vision. In IEEE ICIP 2005, Genova, Italy, 2005.
Thierry Chateau, A. Vacavant, Jean-Marc Lavest: Skin detection and tracking by mono- cular vision. In IEEE ISSCS 2005, Iasi, Romania, 2005.

Papers in national conferences

A. Zeghina, A. Leborgne, F. Le Ber, A. Vacavant: Multi-SPMiner : un framework d'apprentissage profond pour l'extraction de motifs fréquents dans des graphes spatio-temporels. In GAST@EGC 2024, Dijon, France, 2024.
A. Zeghina, A. Leborgne, F. Le Ber, A. Vacavant: Multi-SPMiner : un framework d'apprentissage profond pour l'extraction de motifs fréquents dans des multi-graphes avec application aux graphes spatio-temporels. In EGC 2024, Dijon, France, 2024.
S. Carneiro-Esteves, A. Vacavant, O. Merveille: Apprentissage d’un terme de régularisation reconnecteur pour la segmentation variationnelle des vaisseaux sanguins en 3D. In GRETSI 2022, Nancy, France, 2022.
A. Leborgne, E. Steinberg, L. Lafontaine, F. Le Ber, A. Vacavant: Recherche de motifs fréquents dans un multi-graphe étiqueté et orienté. Application aux graphes spatio-temporels. In GAST@EGC 2022, Tours, France, 2022.
A. Leborgne, E. Steinberg, L. Lafontaine, F. Le Ber, A. Vacavant: Recherche de motifs fréquents dans des graphes spatio-temporels. In EGC 2022, Tours, France, 2022.
A. Affane, J. Lamy, M.-A. Lebre, A. Vacavant: Une combinaison de filtres de rehaussement des vaisseaux avec des architectures 3D U-Net pour la segmentation des vaisseaux hépatiques . In ORASIS 2021, Lac de Saint-Ferréol, France, 2021.
S. Carneiro-Esteves, A. Vacavant, O. Merveille: Apprentissage d'un terme de régularisation reconnecteur pour la segmentation de vaisseaux sanguins par approche variationnelle . In ORASIS 2021, Lac de Saint-Ferréol, France, 2021.

H. Rositi, M. Grand-Brochier, J. Courbon, A. Vacavant, C. Lohou: Prototypage rapide d’applications d’imagerie médicale exploitant un casque de réalité virtuelle. In RITS 2017, Lyon, France, 2017.
A.L.M. Pavan, A. Vacavant, A.P. Trindade, D.R. de Pina: Fibroglandular tissue quantification in mammography by optimized fuzzy C-Means with variable compactness. In RITS 2017, Lyon, France, 2017.
M.-A. Lebre, A. Vacavant, M. Grand-Brochier, A. Abergel, P. Chabrot: Automatic model-based segmentation and 3D reconstruction of the liver. In RITS 2017, Lyon, France, 2017.
H. O. Fard, Q. C. Pham, M. Chaouch, T. Chateau, A. Vacavant: Détection hiérarchique multi-classes d’objets dans les images. In ORASIS 2013, Cluny, France, 2013.
K. Bianchi, A. Vacavant, P. Tervé, L. Sarry: Dual B-spline snake for interactive myocardial segmentation. In RITS 2013, Bordeaux, France, 2013.
L. Tougne, G. Cerutti, A. Vacavant, J. Mille, V. Antoine, S. Bres, R. Cartal, D. Coquin, B. Etlicher, S. Galichet, K. Idrissi, T. Joliveau, P.-O. Mazagol, S. Miguet, M. Scuturici, C. Sacca, L. Suta, B. Tellez, L. Valet: Projet ReVeS: Reconnaissance de végétaux pour des interfaces smartphones. In UBIMOB 2012, Anglet, France, 2012.
A. Vacavant, D. Coeurjolly, L. Tougne: Reconstruction topologique et géométrique d’objets complexes sur grilles isothétiques irrégulières. In CORESA 2006, Caën, France, 2006.
A. Vacavant, T. Chateau: Suivi de la tête et des mains en vision monoculaire temps réel. In ORASIS 2005, Clermont-Ferrand, France, 2005.

Abstracts in international conferences

G. Lienemann, B. Magnin, R. Peron, P. Chabrot, L. Boyer, A. Vacavant. Extraction of liver volume and vessels on MRI with SlicerRVXLiverSegmentation. In European Congress of Radiology, Vienna, Austria, 2024.
M. Chetoui, M. Morvan, P. Beaurepaire, A. Vacavant: A new open-source workflow for multiscale modeling of hepatic perfusion. In Congress of the European Society of Biomechanics, 2023.
J. Gobe, M. Chourrout, A. Vacavant, H. Rositi, F. Chauveau: A new open-source tool for 3-dimensional analysis of white matter from XPCT images. In IEEE ISBI 2023, Cartagena de Indias, Colombia, 2023.
S.A.S. Souza, A.F.F. Alves, M. Alvarez, A. Vacavant, D.R. de Pina: Avaliação de comprometimento pulmonar em pacientes com COVID-19. In XVII CONFIAM, Botucatu, Brazil, 2022.
J. Lamy, T. Pelletier, G. Lienemann, B. Magnin, B. Kerautret, N. Passat, J. Finet, A. Vacavant: A new 3D Slicer plug-in for the interactive annotation and segmentation of liver anatomy . In EASL LCS 2022.
A. Affane, J. Lamy, M.-A. Lebre, A. Vacavant: About the combination of vesselness filters and 3-D U-Net architectures for liver vessel extraction. In IEEE BHI 2021.
J. Lamy, T. Pelletier, G. Lienemann, B. Magnin, B. Kerautret, N. Passat, J. Finet, A. Vacavant: Preliminary results with a new annotation tool for liver volume and inner vessels from DCE-MRI data. In VPH 2020, Paris, France, 2020.
J. Lamy, O. Merveille, B. Kerautret, N. Passat, A. Vacavant: A benchmark preview of liver vessel enhancement algorithms. In VPH 2020, Paris, France, 2020.
H. Rositi, A. Leborgne, M.-A. Lebre, M. Grand-Brochier, F. Chauveau, M. Wiart, C. Olivier, F. Peyrin, A. Vacavant: Computational 2D and 3D extraction of liver mouse vasculature within synchrotron radiation X-ray phase tomography. In NEUBIAS Symposium 2018, Szeged, Hungary, 2018.
A.L.M. Pavan, A. Vacavant, A.F.F. Alves, A.P. Trindade, C.C. Quini, D.R. de Pina: Enhancement of breast periphery region in digital mammography. In SPIE Medical Imaging, Houston, Texas, USA, 2018.
A. Draoua, A. Albouy-Kissi, A. Vacavant, V. Sauvage: A new iterative method for liver segmentation from perfusion CT scans. In SPIE Medical Imaging, San Diego, California, USA, 2014.
L. Guigues, D. Sarrut, A. Vacavant, N. Dufour, M.-C. Ricol, E. Testa, M. Boutemeur, N. Freud, J.-M. Létang: A platform for Monte Carlo simulation of cancer therapy with photon and light ions beams based on the Geant 4 toolkit. In IEEE Nuclear Science Symposium, San Diego, California, USA, 2006.

Invited talks in conferences

A. Vacavant: Pattern recognition in biomedical images for computer-aided diagnosis of liver pathologies. In XVI CONFIAM, Botucatu, Brazil, 2021.
A. Vacavant: Algorithmes robustes et multi-échelles de traitement d'images, impliquant des outils de géométrie discrète et de morphologie mathématique. In Journée du GT GDMM 2018, Lyon, France, 2018.

Presentations in national conferences

A. Vacavant: Analyse et traitement de séquences IRM pour la reconstruction volumétrique de l'anatomie hépatique et la détection de tumeurs CHC . In Atelier du CLARA, Rencontre Régionale Cancer du foie, Lyon, France, 2020.
A. Vacavant: Modélisation 3-D du foie et de ses vaisseaux, à partir de données CT et IRM, pour le diagnostic du CHC assisté par ordinateur. In Atelier du CLARA, Rencontre Régionale Cancer du foie, Lyon, France, 2018.
A. Vacavant: Machines de vidéo-surveillance intelligentes. In Colloque LEEE, Le corps et le dispositif, Clermont-Ferrand, France, 2011.
A. Vacavant: Reconstruction topologique et géométrique d’objets irréguliers : algorithmes et applications. In EJCIM 2010, Chambéry, France, 2010.
A. Vacavant: Approximation de courbes implicites grâce à des outils discrets irréguliers. In JIG 2008, Dijon, France, 2008.
A. Vacavant: Outils de la géométrie discrète pour le tracé de courbes implicites par arithmétique d’intervalles. In RAIM 2007, Montpellier, France, 2007.

Lab and Master seminars

A. Vacavant: Deep learning and hybrid models for vascular segmentation in clinical and preclinical contexts. Université Reims Champagne Ardennes, Reims, 2024.
A. Vacavant: Deep learning models for medicine: Applications to medical and biomedical image analysis. Disciplina de tópicos especiais Aplicações Médicas de Deep Learning, Botucatu, Brazil, 2024.
A. Vacavant: AI and Deep learning: Key concepts and applications. Disciplina de tópicos especiais Aplicações Médicas de Deep Learning, Botucatu, Brazil, 2024.
A. Vacavant: Vascular and tumoral pattern recognition in biomedical images for computer-aided diagnosis of liver pathologies. In Simposio de Radioprotecao e Qualidade de Imagem, Botucatu, Brazil, 2022.
A. Vacavant: Variational and machine learning approaches for computer-aided diagnosis of liver pathologies. Brown bag research talk, USD, USA, 2021.
A. Vacavant: Image-guided liver anatomy modeling for computer-aided diagnosis and treatment. Master 2 SIM, UPEC, Créteil, 2021.
A. Vacavant: Image-guided liver cancer modeling for computer-aided diagnosis and treatment. CIM, Uppsala, Sweden, 2018.
A. Vacavant: Robust image processing algorithms, involving tools from digital geometry and mathematical morphology. CBA, Uppsala, Sweden, 2018.
A. Vacavant: Computer aided diagnosis and treatment of liver pathologies. CIM, Uppsala, Sweden, 2016.
A. Vacavant: A novel definition of robustness for image processing algorithms. CBA, Uppsala, Sweden, 2016.
A. Vacavant: Robust image analysis by multi-scale and irregular algorithms. CBA, Uppsala, Sweden, 2013.
A. Vacavant: Approches multi-échelle pour la reconnaissance de cercles dans des images bruitées. LORIA, Nancy, France, 2012.
A. Vacavant: Analyse de séquences vidéo filmées en extérieur - Géométrie discrète irrégulière pour l’image. RFAI, Tours, France, 2010.
A. Vacavant: Géométrie discrète sur grilles irrégulières isothétiques. LAMA, Chambéry, France, 2010.

Popularization

A. Vacavant, M.A. Lebre Responsabilité Sociétale & Intelligence Artificielle.La Brasserie du Digital, Le Puy-en-Velay, 2025.
A. Vacavant. Intelligence artificielle - De la place de l’Homme et de la Machine. Le Puy-en-Velay, 2025.
A. Vacavant. L’intelligence artificielle au service de l’industrie. CCI, Le Puy-en-Velay, 2025.
A. Vacavant. A la découverte de l'IA : Concepts clés et applications pratiques. Les jeudis du numérique (high school audience), Le Puy-en-Velay, France, 2024.
A. Vacavant, C. Saudemont: Pourquoi et comment utiliser l'IA en entreprise. Digital Days #3 La Brasserie du Digital (public audience), Le Puy-en-Velay, France, 2024
C. Essebah, A. Vacavant: Les défis de l’intelligence artificielle face aux enjeux environnementaux La Brasserie du Digital (round table public audience), Le Puy-en-Velay, France, 2024.
A. Vacavant. A la découverte de l'IA : Concepts clés et applications pratiques. Journée Métiers du Numérique (public audience), Retournac, France, 2024.
A. Vacavant, L. Bourières, P. Bringer. IA et data. La Brasserie du Digital (round table public audience), Le Puy-en-Velay, France, 2024.
A. Vacavant, S. Côte: IA génératives et impact dans les industries culturelles et créatives. Digital Days #2 La Brasserie du Digital (public audience), Le Puy-en-Velay, France, 2023.
A. Vacavant: Apprentissage profond et modèles génératifs d'images. 3AXES Institut (higher education audience, virtual), France, 2023.
A. Vacavant: Apprentissage profond et modèles génératifs d'images. Les jeudis du numérique (high school audience), Le Puy-en-Velay, France, 2023.
C. Saudemont, A. Vacavant: Apprentissage profond, jumeaux numériques et autres applications. Nuit de l'IA (public audience), Le Puy-en-Velay, France, 2023
A. Vacavant: Intelligence artificielle pour la médecine: Applications cardio-vasculaires et oncologiques. Université Ouverte Clermont Auvergne (public audience, virtual), France, 2022.
A. Vacavant: Computer image analysis for biomedical applications. Franska Skolan (high school audience), Stockholm, Sweden, 2018.

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International and national journal articles

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Papers in national conferences

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Invited talks in conferences

Presentations in national conferences

Lab and Master seminars

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