Search Publication

Export 271 results:
Author Title [ Type(Asc)] Year
Filters: First Letter Of Last Name is V  [Clear All Filters]
Conference Paper
Vilaplana V, Marqués F. On building a hierarchical region-based representation for generic image analysis. In IEEE International Conference on Image Processing. 2007.
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.
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.
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, 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.
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, 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.
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.
Gasull A, Vazquez G. Automatic left ventricular contour for volume calculation. In Ultrasonics International 89. 1989. pp. 123–126.
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, 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.
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.
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.
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.
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)
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.
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)
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)
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.
Martínez PA, Varas D, Castelán M, Camacho M, Marqués F, Arechavaleta G. 3D Shape Reconstruction from a Humanoid Generated Video Sequence. In IEEE International Conference on Humanoid Robots. Madrid; 2014.  (4.61 MB)
Sánchez I, Vilaplana V. 3D Medical Image Synthesis using Generative Adversarial Networks. In ACM Europe Celebration of Women in Computing, womENcourage 2017, Barcelona, Spain. 2017.
Casamitjana A, Puch S, Aduriz A, Sayrol E, 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)
Book Chapter
Casamitjana A, Vilaplana V, Petrone P, Molinuevo JLuis, Gispert JD. Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer’s Disease. In PRedictive Intelligence in MEdicine. Springer International Publishing; 2018. pp. 60-67.

Pages