Veronica Vilaplana

Biography

Veronica Vilaplana holds a MSc degree in Mathematics and a MSc degree in Computer Sciences from the Universidad de Buenos Aires (Argentina), and a PhD in Signal Theory and Communications from the Universitat Politècnica de Catalunya (UPC). Since 2002 she is associate professor at the Department of Signal Theory and Communications (UPC). Her current research interests focus on deep learning and other machine learning models for biomedical and remote sensing applications. 

Scientific IDs:

Google Scholar,     ORCID0000-0001-6924-9961
Scopus Author ID: 23394280500,     Researcher ID: O-1726-2014,     UPC Futur 

LinkedIn,      ResearchGate

Journal Articles top

Submitted
I. Cumplido-Mayoral, Brugulat-Serra, A., Sánchez-Benavides, G., Molinuevo, J. Luis, Suarez-Calvet, M., Vilaplana, V., and Gispert, J. Domingo, The mediating role of neuroimaging-derived biological brain age between risk factors for dementia and cognitive decline in middle/late-aged asymptomatic individuals: a cohort study, The Lancet Healthy Longevity, Submitted.
O. Pina and Vilaplana, V., Feature propagation as self-supervision signals on graphs, Knowledge-Based Systems, Submitted.
2024
C. Pachón-García, Hernandez, C., Delicado, P., and Vilaplana, V., SurvLIMEpy: A Python package implementing SurvLIME, Expert Systems With Applications, vol. 237, Part C, 2024.
J. Gené-Mola, Ferrer-Ferrer, M., Hemming, J., Dalfsen, P., Hoog, D., Sanz-Cortiella, R., Rosell-Polo, J. R., Morros, J. R., Vilaplana, V., Ruiz-Hidalgo, J., and Gregorio, E., AmodalAppleSize_RGB-D dataset: RGB-D images of apple trees annotated with modal and amodal segmentation masks for fruit detection, visibility and size estimation, Data in Brief, vol. 52, 2024.
2023
I. Cumplido-Mayoral, García-Prat, M., Operto, G., Falcon, C., Shekari, M., Cacciaglia, R., Mila-Aloma, M., Lorenzini, L., Minguillon, C., Molinuevo, J. Luis, Suarez-Calvet, M., Vilaplana, V., and Gispert, J. Domingo, 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, eLife, vol. 12, 2023.

Book Chapters and Bookstop

Submitted
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 Explainable Artificial Intelligence and Process Mining Applications for Healthcare,, vol. 2020, Submitted.
2021
L. Mora and Vilaplana, V., MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures, in Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2020, vol. 12658, Springer International Publishing, 2021, pp. 376-390.
2018
M. Combalia and Vilaplana, V., Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification, in Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, Springer International Publishing, 2018, pp. 274-281.
M. Górriz, Aparicio, A., Raventós, B., Vilaplana, V., Sayrol, E., and López-Codina, D., Leishmaniasis Parasite Segmentation and Classification Using Deep Learning, in Articulated Motion and Deformable Objects, vol. 10945, Springer International Publishing, 2018, pp. 53-62.
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 PRedictive Intelligence in MEdicine, vol. 11121, Springer International Publishing, 2018, pp. 60-67.

Conference Papers top

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.

Research Areas top

Biomedical Applications Internal Jan
2012
Dec
2024
Region-based image and video processing Internal Jan
1992
Dec
2020
Deep learning Internal Jun
2014
Dec
2020
Saliency prediction Internal Feb
2015
Dec
2019
Multimedia Retrieval Internal Sep
2001
Dec
2018