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Conference Paper
Gasull A, Moreno A, Salavedra J, Sayrol E, Vallverdu F. 619 - un ejemplo de diseño del laboratorio para asignaturas con créditos teóricos y prácticos. In VIII Congreso Universitario de Innovación Educativa en las Enseñanzas Técnicas. 2000. pp. 233–240.
Xu Z, Vilaplana V, Morros JR. 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)
Valero S, Salembier P, Chanussot J. Arbre de partition binaire: un nouvel outil pour la représentation hiérarchique et l'analyse des images hyperspectrales. In XXIIIè Colloque sur le Traitement du Signal et des Images, GRETSI 2011. Bordeaux, France; 2011. pp. 120–125.  (859.78 KB)
Combalia M, Podlipnik S, Hernandez C, García S, Ficapal J, Burgos J, et al.. Artificial intelligence to predict positivity of sentinel lymph node biopsy in melanoma patients. In European Association of Dermato Oncology (EADO 2022). 2022.
Luque J, Morros JR, Garde A, Anguita J, Farrús M, Macho D, et al.. 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)
Casamitjana A, Sánchez I, Combalia M, Vilaplana V. Augmented V-Net for infant brain segmentation. In MICCAI Grand Challenge on 6-month Infant Brain MRI Segmentation, MICCAI 2017. 2017.
Casamitjana A, Sánchez I, Combalia M, Vilaplana V. Augmented V-Net for White Matter Hyperintensities segmentation. In WMH Segmentation Challenge, Brain-lesion Workshop, MICCAI 2017 . 2017.
Vidal J, Sayrol E, Lagunas M. Autentificacion digital de imagen, marcado y detección óptimos. In XIII Simposium Nacional de la Unión Científica Internacional de Radio. 1998. pp. 105–106.
Gasull A, Alquezar R, Torres L, Sallent S, Marqués F, Vidal J, et al.. Automated left ventricular contour extraction and volume calculation form echocardiographic images. In Ultrasonics International 89. 1989. pp. 1–4.
Ventura C, Giró-i-Nieto X, Vilaplana V, Daniel Giribet, Eusebio Carasusan. Automatic Keyframe Selection based on Mutual Reinforcement Algorithm. In CBMI (Content-Based Multimedia Indexing). Veszprem; 2013.  (2.98 MB)
Ventura C, Giró-i-Nieto X, Vilaplana V, Daniel Giribet, Eusebio Carasusan. Automatic Keyframe Selection based on Mutual Reinforcement Algorithm. In CBMI (Content-Based Multimedia Indexing). Veszprem; 2013.  (2.98 MB)
Gasull A, Vazquez G. Automatic left ventricular contour for volume calculation. In Ultrasonics International 89. 1989. pp. 123–126.
Combalia M, Codella NCF, Rotemberg V, Helba B, Vilaplana V, Reiter O, et al.. BCN20000: Dermoscopic Lesions in the Wild. In International Skin Imaging Collaboration (ISIC) Challenge on Dermoscopic Skin Lesion Analysis 2019. 2019.
Cumplido-Mayoral I, Mila-Aloma M, Lorenzini L, Wink AMeije, Mutsaerts H, Haller S, et al.. 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.
Cumplido-Mayoral I, García-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, et al.. 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.
Sánchez I, Vilaplana V. Brain MRI Super-Resolution using Generative Adversarial Networks. In International Conference on Medical Imaging with Deep Learning. Amsterdam, The Netherlands; 2018.
Cumplido-Mayoral I, Shekari M, Salvadó G, Operto G, Cacciaglia R, Falcon C, et al.. 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.
Mora L, 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.
Cumplido-Mayoral I, Brugulat-Serrat A, Sánchez-Benavides G, González-Escalante A, Anastasi F, Mila-Aloma M, et al.. 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.
Cumplido-Mayoral I, Mila-Aloma M, Falcon C, Cacciaglia R, Minguillon C, Fauria K, et al.. Brain-age prediction and its associations with glial and synaptic CSF markers. In Alzheimer's Association International Conference. Amsterdam, Netherlands; 2023.
Vilaplana V, Marqués F. On building a hierarchical region-based representation for generic image analysis. In IEEE International Conference on Image Processing. 2007.
Ventura L, Duarte A, Giró-i-Nieto X. Can Everybody Sign Now? Exploring Sign Language Video Generation from 2D Poses. In ECCV 2020 Workshop on Sign Language recognition, Production and Translation (SLRTP). 2020.  (3.85 MB)
León M, Vilaplana V, Gasull A, 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.
Petrone P, Casamitjana A, Falcon C, Artigues M, Operto G, Skouras S, et al.. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. In Alzheimer's Association International Conference. Chicago, USA; 2018.
Isart A, Espasa M, Vilaplana V, Sayrol E. CNN-based bacilli detection in sputum samples for tuberculosis diagnosis. In International Symposium on Biomedical Imaging (ISBI 2019). 2019.

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