Conference Papers by Veronica Vilaplanaback

In Press
L. Jimenez, Vilardel, F., Petit, A., Dorca, E., Soler-Monsó, T., Ramos-Oliver, I., Pons, L., Fernández, P. L., Adalid-Llansa, L., Mata, D., Salazar-Huayna, L., Casas, J., and Vilaplana, V., “Segmenting Invasive and In Situ Carcinoma in Breast WSIs with a Pretrained Histopathology Transformer”, in 2nd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in breast care - MICCAI2025, In Press.
C. Giardina, Vila-Bagaria, S., Arbonés, C., Pardàs, M., and Vilaplana, V., “Anatomically Guided 3D Diffusion Models for Synthetic Prostate MRI Generation”, in 5th Deep Generative Models Workshop - MICCAI 2025, In Press.
2025
O. Pina, Dorca, E., and Vilaplana, V., “Cell Detection with Transformers – A Paradigm Shift from Segmentation to Detection in Digital Pathology”, in 21st European Congress on Digital Pathology, 2025. (599.69 KB)
O. Pina, Jimenez, L., Dorca, E., and Vilaplana, V., “Hierarchical Cell-to-Patch Graphs for Context-Aware Cell Classification in Digital Pathology”, in 21st European Congress on Digital Pathology, Barcelona, 2025. (600.71 KB)
O. Pina, Dorca, E., and Vilaplana, V., “Unsupervised Domain Adaptation for Cell Detection Across Histopathological Stains”, in 21st European Congress on Digital Pathology, Barcelona, 2025. (601.11 KB)
E. Dorca, Pina, O., Taco, Mdel Rosari, Fermamdez, E. Guerra, Vilaplana, V., and Bel, A. Vidal, “Multimodal AI for Atypical Hyperplasia Diagnosis: A Comparative Study of CNNs, GNNs, and Hybrid Models”, in 21st European Congress on Digital Pathology, Barcelona, 2025. (592.84 KB)
C. M. Lems, Klubíčková, N., Brattoli, B., Lee, T., Vilaplana, V., Fernández, P. Luis, Pons, L., Poceviciute, M., Khalili, N., and Ciompi, F., “Towards a multicentric open DigitAL PatHology assIstant beNchmark: Initial Results from the DALPHIN Study”, in United States & Canadian Academy of Pathology 114th Annual Meeting (USCAP 2025), Boston, USA, 2025.
2024
C. Hernandez, Jimenez, L., and Vilaplana, V., “Bridging Domains in Melanoma Diagnostics: Predicting BRAF Mutations and Sentinel Lymph Node Positivity with Attention-Based Models in Histological Images”, in IEEE/CVF Conference on Computer Vision and Pattern Recognition (DEF-AI-MIA workshop), 2024.
O. Pina and Vilaplana, V., “Unsupervised Domain Adaptation for Multi-Stain Cell Detection in Breast Cancer with Transformers”, in IEEE/CVF Conference on Computer Vision and Pattern Recognition (DEF-AI-MIA workshop), 2024.
O. Pina, Dorca, E., and Vilaplana, V., “Cell-DETR: Efficient cell detection and classification in WSIs with transformers”, in Medical Imaging with Deep Learning (MIDL 2024), 2024.
C. Giardina, Vilaplana, V., Pardàs, M., and Guardia, O., “Synthesis of Prostate MRI Scans: A Comparison of StyleGAN2-ADA and Latent Diffusion Models”, in Conferencia de la Asociación Española para la Inteligencia Artificial, IABioMed workshop, 2024.
B. Calm, Cumplido-Mayoral, I., Gispert, J. Domingo, and Vilaplana, V., “Identifying brain ageing trajectories using variational autoencoders with regression model in neuroimaging data stratified by sex and validated against dementia-related risk factors”, in 7th International Workshop on PRedictive Intelligence in MEdicine, MICCAI 2024, 2024.
L. Jimenez, Hernandez, C., and Vilaplana, V., “Breast Cancer Molecular Subtyping from H&E Whole Slide Images using Foundation Models and Transformers”, in Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care, MICCAI 2024, 2024.
2023
I. Cumplido-Mayoral, Mila-Aloma, M., Falcon, C., Cacciaglia, R., Minguillon, C., Fauria, K., Molinuevo, J. Luis, Vilaplana, V., and Gispert, J. D., “Brain-age prediction and its associations with glial and synaptic CSF markers”, in Alzheimer's Association International Conference, Amsterdam, Netherlands, 2023.
I. Cumplido-Mayoral, Brugulat-Serrat, A., Sánchez-Benavides, G., González-Escalante, A., Anastasi, F., Mila-Aloma, M., Falcon, C., Shekari, M., Cacciaglia, R., Minguillon, C., Vilaplana, V., and Gispert, J. D., “Brain-age mediates the association between modifiable risk factors and cognitive decline early in the AD continuum”, in Alzheimer’s Association International Conference (AAIC), Amsterdam, Netherlands, 2023.
C. Hernandez, Pachón-García, C., Delicado, P., and Vilaplana, V., “Interpreting Machine Learning models for Survival Analysis: A study of Cutaneous Melanoma using the SEER Database”, in XAI-Healthcare 2023 Workshop at 21st International Conference of Artificial Intelligence in Medicine (AIME 2023), Portoroz, Slovenia, 2023.
O. Pina and Vilaplana, V., “Layer-wise self-supervised learning on graphs”, in KDD 2023 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD 2023), Long Beach, USA, 2023.
2022
C. Hernandez, Vilaplana, V., Combalia, M., García, S., Podlipnik, S., Burgos, J., Puig, S., and Malvehy, J., “Sentinel lymph node status prediction with self-attention neural networks using histologies of primary melanoma tumours”, in European Association of Dermato Oncology (EADO 2022), 2022.
M. Combalia, Podlipnik, S., Hernandez, C., García, S., Ficapal, J., Burgos, J., Vilaplana, V., and Malvehy, J., “Artificial intelligence to predict positivity of sentinel lymph node biopsy in melanoma patients”, in European Association of Dermato Oncology (EADO 2022), 2022.
I. Cumplido-Mayoral, García-Prat, M., Operto, G., Falcon, C., Shekari, M., Cacciaglia, R., Mila-Aloma, M., Calvet, M. Suarez, Vilaplana, V., and Gispert, J. D., “Biological Brain Age Prediction Using Machine Learning on Structural Neuroimaging Data: Multi-Cohort Validation Against Biomarkers of Alzheimer’s Disease and Neurodegeneration”, in Alzheimer's Association International Conference, 2022.
C. Hernandez, Combalia, M., Puig, S., Malvehy, J., and Vilaplana, V., “Contrastive and attention-based multiple instance learning for the prediction of sentinel lymph node status from histopathologies of primary melanoma tumours.”, in Cancer Prevention through early detecTion (Caption) Workshop at 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), 2022.
O. Pina and Vilaplana, V., “Self-supervised graph representations of WSIs”, in Geometric Deep Learning in Medical Image Analysis, 2022.
O. Pina, Cumplido-Mayoral, I., Cacciaglia, R., González-de-Echávarri, J. María, Gispert, J. D., and Vilaplana, V., “Structural Networks for Brain Age Prediction”, in Medical Imaging with Deep Learning (MIDL 2022), 2022.
I. Cumplido-Mayoral, Mila-Aloma, M., Lorenzini, L., Wink, A. Meije, Mutsaerts, H., Haller, S., Chetelat, G., Barkhof, F., Suarez-Calvet, M., Vilaplana, V., and Gispert, J. D., “Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer’s disease and neurodegeneration stratified by sex”, in 15th Clinical Trials on Alzheimer’s Disease Conference (CTAD), San Francisco, USA, 2022.
C. Hernandez, Combalia, M., Malvehy, J., and Vilaplana, V., “Sentinel lymph node status prediction using self-attention networks and contrastive learning from routine histology images of primary tumours”, in Medical Imaging with Deep Learning MIDL 2022, 2022.
2021
C. Hernandez, Kiroglu, A., García, S., Ficapal, J., Burgos, J., Podlipnik, S., Calbet, N., Puig, S., Malvehy, J., Vilaplana, V., and Combalia, M., “Implementation of personalized medicine in cutaneous melanoma patients aided by artificial intelligence”, in 10th World Congress of2 Melanoma / 17th EADO Congress, 2021.
S. Podlipnik, Hernandez, C., Kiroglu, A., García, S., Ficapal, J., Burgos, J., Calbet, N., Puig, S., Malvehy, J., Vilaplana, V., and Combalia, M., “Personalized medicine in melanoma patients aided by artificial intelligence”, in Clinical Translation of Medical Image Computing and Computer Assisted Interventions (CLINICCAI) Workshop at MICCAI, 2021.
I. Cumplido-Mayoral, Salvadó, G., Shekari, M., Falcon, C., Alomà, M. Milà, Baizán, A. Niñerola, Molinuevo, J. Luis, Zetterberg, H., Blennow, K., Calvet, M. Suarez, Vilaplana, V., and Gispert, J. D., “Machine learning on combined neuroimaging and plasma biomarkers for triaging participants of secondary prevention trials in Alzheimer’s Disease”, in Alzheimer's Association International Conference, 2021.
I. Cumplido-Mayoral, Shekari, M., Salvadó, G., Operto, G., Cacciaglia, R., Falcon, C., Baizán, A. Niñerola, Perissinotti, A., Minguillon, C., Fauria, K., Suridjan, I., Kollmorgen, G., Molinuevo, J. Luis, Zetterberg, H., Blennow, K., Calvet, M. Suarez, Vilaplana, V., and Gispert, J. D., “Brain structural alterations in cognitively unimpaired individuals with discordant amyloid-β PET and CSF Aβ42 status: findings using Machine Learning”, in Alzheimer's Association International Conference, 2021.
I. Cumplido-Mayoral, Ingala, S., Lorenzini, L., Wink, A. Meije, Haller, S., Molinuevo, J. Luis, Wolz, R., Palombit, A., Schwarz, A. J., Chetelat, G., Payoux, P., Martinez-Lage, P., Frisoni, G., Fox, N. C., Ritchie, C. W., Wardlaw, J. M., Waldman, A., Barkhof, F., Vilaplana, V., and Gispert, J. D., “Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI”, in Alzheimer's Association International Conference, 2021.
2020
E. Moliner, Salgueiro, L., and Vilaplana, V., “Weakly Supervised Semantic Segmentation for Remote Sensing Hyperspectral Imaging”, in International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), 2020.
M. Combalia, Hueto, F., Puig, S., Malvehy, J., and Vilaplana, V., “Uncertainty Estimation in Deep Neural Networks for Dermoscopic Image Classification”, in CVPR 2020, ISIC Skin Image Analysis Workshop, 2020.
L. Mora and Vilaplana, V., “Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation”, in MICCAI 2020 - Brain Lesion Workshop (BrainLes), Multimodal Brain Tumor Segmentation Challenge (BRATS), 2020.
2019
A. Casamitjana, Petrone, P., Falcon, C., Artigues, M., Operto, G., Cacciaglia, R., Molinuevo, J. L., Vilaplana, V., and Gispert, J. D., “Detection of Amyloid Positive Cognitively unimpaired individuals using voxel-based machine learning on structural longitudinal brain MRI”, in Alzheimer's Association International Conference, 2019.
A. Isart, Espasa, M., Vilaplana, V., and Sayrol, E., “CNN-based bacilli detection in sputum samples for tuberculosis diagnosis”, in International Symposium on Biomedical Imaging (ISBI 2019), 2019.
N. Gullón and Vilaplana, V., “Retinal lesions segmentation using CNNs and adversarial training”, in International Symposium on Biomedical Imaging (ISBI 2019), 2019.
M. Combalia, Pérez-Anker, J., García-Herrera, A., Alos, L., Vilaplana, V., Marques, F., Puig, S., and Malvehy, J., “Digitally Stained Confocal Microscopy through Deep Learning”, in International Conference on Medical Imaging with Deep Learning (MIDL 2019), London, 2019.
D. Pareto, Vidal, P., Alberich, M., Lopez, C., Auger, C., Tintoré, M., Montalban, X., Sastre-Garriga, J., Vilaplana, V., and Rovira, A., “Prediction of a second clinical event in CIS patients by combining lesion and brain features”, in Congress of the European Comitee for Treatment and Research in Multiple Sclerosis (ECTRIMS 2019), 2019.
I. Mas, Morros, J. R., and Vilaplana, V., “Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning”, in ICCV Workshop - MDALC 2019, Seoul, South Korea, 2019. (911.15 KB)
L. Salgueiro, Marcello, J., and Vilaplana, V., “Comparative study of upsampling methods for super-resolution in remote sensing”, in International Conference on Machine Vision, 2019.
M. Combalia, Codella, N. C. F., Rotemberg, V., Helba, B., Vilaplana, V., Reiter, O., Carrera, C., Barreiro, A., Halpern, A. C., Puig, S., and Malvehy, J., “BCN20000: Dermoscopic Lesions in the Wild”, in International Skin Imaging Collaboration (ISIC) Challenge on Dermoscopic Skin Lesion Analysis 2019, 2019.
J. Gené-Mola, Vilaplana, V., Rosell-Polo, J. R., Morros, J. R., Ruiz-Hidalgo, J., and Gregorio, E., “Uso de redes neuronales convolucionales para la detección remota de frutos con cámaras RGB-D”, in Congreso Ibérico de Agroingeniería, Huesca, 2019. (1.21 MB)
2018
M. Combalia and Vilaplana, V., “Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification”, in Workshop on Deep Learning in Medical Image Analysis, MICCAI, Granada, Spain, 2018.
A. Casamitjana, Vilaplana, V., Petrone, P., Molinuevo, J. Luis, and Gispert, J. D., “Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease”, in Workshop on Predictive Intelligence in Medicine (PRIME), MICCAI, Granada, Spain, 2018.
I. Sánchez and Vilaplana, V., “Brain MRI Super-Resolution using Generative Adversarial Networks”, in International Conference on Medical Imaging with Deep Learning, Amsterdam, The Netherlands, 2018.
S. Bakas, Reyes, M., Jakab, A., Bauer, S., Casamitjana, A., Vilaplana, V., and Al., et., “Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge”, in MICCAI - Multimodal Brain Tumor Segmentation Challenge, 2018.
M. Combalia and Vilaplana, V., “Monte-Carlo Sampling applied to Multiple Instance Learning for Whole Slide Image Classification”, in International Conference on Medical Imaging with Deep Learning, Amsterdam, The Netherlands, 2018.
P. Petrone, Casamitjana, A., Falcon, C., Artigues, M., Operto, G., Skouras, S., Cacciaglia, R., Molinuevo, J. L., Vilaplana, V., and Gispert, J. D., “Characteristic Brain Volumetric Changes in the AD Preclinical Signature”, in Alzheimer's Association International Conference, Chicago, USA, 2018.
A. Casamitjana, Petrone, P., Artigues, M., Molinuevo, J. L., Gispert, J. D., and Vilaplana, V., “Projection to Latent Spaces Disentangles Specific Cerebral Morphometric Patterns Associated to Aging and Preclinical AD”, in Alzheimer's Association International Conference, Chicago, USA, 2018.
M. Górriz, Aparicio, A., Raventós, B., López-Codina, D., Vilaplana, V., and Sayrol, E., “Leishmaniasis Parasite Segmentation and Classification Using Deep Learning”, in International Conference on Articulated Motion and Deformable Objects, Palma, Spain, 2018.
Z. Xu, Vilaplana, V., and Morros, J. R., “Action Tube Extraction based 3D -CNN for RGB-D Action Recognition”, in International Conference on Content-Based Multimedia Indexing CBMI 2018, 2018. (3.09 MB)
2017
P. Petrone, Vilaplana, V., Casamitjana, A., Tucholka, A., Falcon, C., Cacciaglia, R., Operto, G., Skouras, S., Molinuevo, J. L., and Gispert, J. D., “Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening”, in Alzheimer’s Association International Conference, London, 2017, 2017.
I. Sánchez and Vilaplana, V., “3D Medical Image Synthesis using Generative Adversarial Networks”, in ACM Europe Celebration of Women in Computing, womENcourage 2017, Barcelona, Spain, 2017.
M. Catà, Casamitjana, A., Sánchez, I., Combalia, M., and Vilaplana, V., “Masked V-Net: an approach to brain tumor segmentation”, in Multimodal Brain Tumor Segmentation Benchmark, Brain-lesion Workshop, MICCAI 2017 , 2017.
A. Casamitjana, Sánchez, I., Combalia, M., and Vilaplana, V., “Augmented V-Net for White Matter Hyperintensities segmentation”, in WMH Segmentation Challenge, Brain-lesion Workshop, MICCAI 2017 , 2017.
A. Casamitjana, Sánchez, I., Combalia, M., and Vilaplana, V., “Augmented V-Net for infant brain segmentation”, in MICCAI Grand Challenge on 6-month Infant Brain MRI Segmentation, MICCAI 2017, 2017.
2016
S. Puch, Aduriz, A., Casamitjana, A., Vilaplana, V., and Gispert, J. D., “Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling”, in NIPS 2016 Workshop on Machine Learning for Health, 2016. (1.6 MB)
A. Casamitjana, Puch, S., Aduriz, A., Sayrol, E., and Vilaplana, V., “3D Convolutional Neural Networks for Brain Tumor Segmentation”, in MICCAI 2016 - Brain Lesion Workshop (BrainLes), Multimodal Brain Tumor Segmentation Challenge (BRATS), 2016. (226.04 KB)
2015
C. Ventura, Giró-i-Nieto, X., Vilaplana, V., McGuinness, K., Marqués, F., and O'Connor, N., “Improving Spatial Codification in Semantic Segmentation”, in IEEE International Conference on Image Processing (ICIP), 2015, Quebec City, 2015. (18.81 MB)
E. Tacchini, Morros, J. R., Vilaplana, V., and Sañoso, E., “Do you have a Pop face? Here is a Pop song. Using profile pictures to mitigate the cold-start problem in Music Recommender Systems”, in 9th ACM Conference on Recommender Systems, 2015. (172.94 KB)
M. India, Varas, D., Vilaplana, V., Morros, J. R., and Hernando, J., “UPC System for the 2015 MediaEval Multimodal Person Discovery in Broadcast TV task”, in MediaEval 2015 Workshop, Wurzen, Germany, 2015. (163.11 KB)
2014
J. R. Morros, Vilaplana, V., Ruiz-Hidalgo, J., Casas, J., Gasull, A., Marqués, F., Pardàs, M., and Salembier, P., “Materials transversals per a l'aprenentatge actiu de les matèries de processat d'imatge i vídeo”, in Congrés Internacional de Docència Universitària i Innovació (CIDUI), Tarragona, Spain, 2014. (853.76 KB)
2013
C. Ventura, Giró-i-Nieto, X., Vilaplana, V., Daniel Giribet,, and Eusebio Carasusan, “Automatic Keyframe Selection based on Mutual Reinforcement Algorithm”, in CBMI (Content-Based Multimedia Indexing), Veszprem, 2013. (2.98 MB)
V. Vilaplana and Muntaner, G., “Salient Object Detection on a Hierarchy of Image Partitions”, in IEEE Int. Conf. in Image Processing, ICIP 2013, Melbourne, Australia, 2013.
2010
M. León, Vilaplana, V., Gasull, A., and Marqués, F., “Region-based caption text extraction”, in 11th. International Workshop on Image Analysis for Multimedia Application Services, 2010, pp. 1–4.
V. Vilaplana, Marqués, F., León, M., and Gasull, A., “Object detection and segmentation on a hierarchical region-based image representation”, in 2010 IEEE International Conference on Image Processing, 2010, pp. 3393–3396.
2009
V. Vilaplana and Varas, D., “Face tracking using a region-based mean-shift algorithm with adaptive object and background models”, in Workshop on Image Analysis for Multimedia Interactive Services, 2009, pp. 9–12.
M. León, Vilaplana, V., Gasull, A., and Marqués, F., “Caption text extraction for indexing purposes using a hierarchical region-based image model”, in 16th International Conference on Image Processing, 2009, pp. 1869–1872.
2008
V. Vilaplana and Marqués, F., “Region-based mean shift tracking: Application to face tracking”, in IEEE International Conference on Image Processing, 2008, pp. 2712–2715.
2007
V. Vilaplana and Marqués, F., “Region-based hierarchical representation for object detection”, in Fith International Workshop on Content-Based Multimedia Indexing, 2007, pp. 157–164.
V. Vilaplana and Marqués, F., “Face detection and segmentation on a hierarchical image representation”, in 15th European Signal Processing Conference, 2007, pp. 1955–1959.
J. Luque, Morros, J. R., Garde, A., Anguita, J., Farrús, M., Macho, D., Marqués, F., Martínez, C., Vilaplana, V., and Hernando, J., “Audio, Video and Multimodal Person Identification in a Smart Room”, in CLEAR'06 Evaluation Campaign and Workshop - Classification of Events, Activities and Relationships, 2007, pp. 258–269. (294.95 KB)
V. Vilaplana and Marqués, F., “On building a hierarchical region-based representation for generic image analysis”, in IEEE International Conference on Image Processing, 2007.
2006
V. Vilaplana, Martínez, C., Javier, C., and Marqués, F., “Face Recognition Using Groups of Images in Smart Room Scenarios”, in International Conference on Image Processing, 2006, pp. 2071–2074.
J. Luque, Morros, J. R., Anguita, J., Farrús, M., Macho, D., Marqués, F., Martínez, C., Vilaplana, V., and Hernando, J., “Multimodal Person Identification in a Smart Room”, in IV Jornadas en Tecnología del Habla, 2006, pp. 327–331.
2005
V. Vilaplana, Giró-i-Nieto, X., Salembier, P., and Marqués, F., “Region-based extraction and analysis of visual objects information”, in Fourth International Workshop on Content-Based Multimedia Indexing, CBMI 2005, Riga, Letonia, 2005. (225.03 KB)
V. Vilaplana and Marqués, F., “Support Vector Data Description Based on PCA Features for Face Detection”, in 13th European Signal Processing Conference, 2005.
2004
O. Salerno, Pardàs, M., Vilaplana, V., and Marqués, F., “Object recognition based on Binary Partition Trees”, in IEEE International Conference on Image Processing, 2004, pp. 929–932.
2001
V. Vilaplana and Marqués, F., “Join detection and segmentation of human faces in color images”, in International Conference on Augmented, Virtual Environments and 3D Imaging, 2001, pp. 347–350.
2000
F. Marqués and Vilaplana, V., “A morphological approach for segmentation and tracking of human faces”, in International Symposium on Image/Video Communications over Fixed and Mobile Networks, 2000, pp. 38–43.
F. Marqués and Vilaplana, V., “A morphological approach for segmentation and tracking of human faces”, in 15th IAPR International Conference on Pattern Recognition, 2000.
1999
F. Marqués, Vilaplana, V., and Buxes, A., “A morphological approach for human face segmentation and tracking”, in Workshop on Image Analysis for Multimedia Services, 1999, pp. 41–44.
V. Vilaplana and Marqués, F., “A region-based approach to face segmentation and tracking in video sequences”, in VIII Reunión de Trabajo en Procesamiento de la Información y Control, 1999, pp. 345–350.
F. Marqués, Vilaplana, V., and Buxes, A., “Human face segmentation and tracking using connected components and partition projection”, in 1999 IEEE INternational Conference on Image Processing, 1999.
L. Torres, Marqués, F., Lorente, L., and Vilaplana, V., “Face location and recognition for video indexing in the Hypermedia project”, in European Conference on Multimedia Applications, Services and Techniques, 1999, pp. 364–377.
1998
V. Vilaplana, Marqués, F., Salembier, P., and Garrido, L., “Region-based segmentation segmentation and tracking of human faces”, in 9th European Signal Processing Conference, EUSIPCO 1998, Rhodes, Greece, 1998, pp. 311–314. (276.98 KB)
V. Vilaplana and Marqués, F., “Face segmentation using connected operators”, in Mathematical Morphology and its applications to image and signal processing, 1998, pp. 207–214.
1997
L. Garrido, Marqués, F., Pardàs, M., Salembier, P., and Vilaplana, V., “A hierarchical technique for image sequence analysis”, in Workshop on Image Analysis for Multimedia Application Services, WIAMIS'97, Louvain-la-Neuve, Belgium, 1997, pp. 13–20. (182.34 KB)