Veronica Vilaplana

Position | |
---|---|
Associate Professor | veronica.vilaplana@upc.edu |
Office | Phone |
---|---|
CN: D5-118 / ESEIAAT: TR2-102 | +34 934 017 052 +34 937 398 979 |
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, ORCID: 0000-0001-6924-9961
Scopus Author ID: 35098596700, Researcher ID: O-1726-2014, UPC Futur
Journal Articles top
“Prediction of amyloid pathology in cognitively unimpaired individuals using voxelwise analysis of longitudinal structural brain MRI”, Alzheimer's Research & Therapy, In Press. | ,
“Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study”, IEEE Journal of Biomedical and Health Informatics, In Press. | ,
“Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge”, IEEE Transactions on Medical Imaging, 2019. | ,
“Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge”, IEEE Transactions on Medical Imaging, 2019. | ,
“Multiresolution co-clustering for uncalibrated multiview segmentation”, Signal Processing: Image Communication, 2019.![]() |
,
Book Chapters and Bookstop
“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. | ,
“Leishmaniasis Parasite Segmentation and Classification Using Deep Learning”, in Articulated Motion and Deformable Objects, vol. 10945, Springer International Publishing, 2018, pp. 53-62. | ,
“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. | ,
“Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation”, in Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2017, Crimi A., Bakas S., Kuijf H., Menze B., Reyes M. (eds)., vol. 10670, Cham: Springer, 2018, pp. 381-391. | ,
“3D Convolutional Neural Networks for Brain Tumor Segmentation: a comparison of multi-resolution architectures”, in Lecture Notes in Computer Vision, vol. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, Springer, 2017, pp. 150-161. | ,
Conference Papers top
“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), In Press. | ,
“Comparative study of upsampling methods for super-resolution in remote sensing”, in International Conference on Machine Vision, In Press. | ,
“BCN20000: Dermoscopic Lesions in the Wild”, in International Skin Imaging Collaboration (ISIC) Challenge on Dermoscopic Skin Lesion Analysis 2019, In Press. | ,
“CNN-based bacilli detection in sputum samples for tuberculosis diagnosis”, in International Symposium on Biomedical Imaging (ISBI 2019), 2019. | ,
“Retinal lesions segmentation using CNNs and adversarial training”, in International Symposium on Biomedical Imaging (ISBI 2019), 2019. | ,
Theses top
“Visual Object Analysis using Regions and Local Features”, 2016.![]() |
,
“Region-based face detection, segmentation and tracking. framework definition and application to other objects”, Universitat Politècnica de Catalunya (UPC), 2010. | ,
Other top
“Deep learning for semantic segmentation of airplane hyperspectral imaging”. 2019. | ,Ms Thesis |
“Clasificación de lesiones de piel con un ensemble de redes neuronales residuales”. 2019. | ,Ms Thesis |
“Clasificación de imágenes dermatoscópicas utilizando Redes Neuronales Convolucionales e información de metadatos”. 2019. | ,Ms Thesis |
“Synthesis of acne images for data augmentation with generative adversarial networks”. 2019. | ,Ms Thesis |
“Interpretability of Deep Learning Models”. 2019. | ,Ms Thesis |
Projects top
![]() |
A European AI On Demand Platform and Ecosystem | European | Jan 2019 | Dec 2021 |
![]() |
MALEGRA - Multimodal Signal Processing and Machine Learning on Graphs | National | Jan 2017 | Dec 2020 |
![]() |
coach4acne | Other | Nov 2017 | Mar 2018 |
![]() |
BigGraph - Heterogeneous information and graph signal processing for the Big Data era. Application to high-throughput, remote sensing, multimedia and human computer interfaces. | National | Jan 2014 | Dec 2017 |
![]() |
Camomile - Collaborative Annotation of multi-MOdal, MultI-Lingual and multi-mEdia documents | European | Feb 2013 | Aug 2017 |
Research Areas top
![]() |
Biomedical Applications | Internal | Jan 2012 | Dec 2020 |
![]() |
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 |
Demos and Resources top
![]() |
Additional results for "Action Tube Extraction based 3D-CNN for RGB-D Action Recognition" | Results | May 2018 |
![]() |
VNeAT (Voxel-wise Neuroimaging Analysis Toolbox) | Software | Jun 2017 |
![]() |
Saliency Maps on Image Hierarchies | Results | May 2015 |
![]() |
Automatic Keyframe Selection over TVC database | Results | Jun 2013 |
Teaching top
Acronym | Title | Level | College |
---|---|---|---|
CM | Codificació Multimèdia | Degree in AudioVisual Systems | ESEIAAT |
VC | Computer Vision | Degree in Engineering of Audiovisual Systems | ESEIAAT |
DLAI | Deep Learning for Artificial Intelligence | Master MET | ETSETB TelecomBCN |
PDI | Digtal Image Processing | Degree in Engineering of Audiovisual Systems | Escola d'Enginyeria de Terrassa, EET |
IPSAV | Introduction to Audiovisual Signal Processing | Degree in Engineering of Audiovisual Systems | TelecomBCN, ETSETB |
ICV | Introduction to Computer Vision | Master in Telecommunications Engineering (MET) | ETSETB - Telecom BCN |
IDL | Introduction to Deep Learning | BSc | ETSETB TelecomBCN |
IHCV | M1. Introduction to Humand and Computer Vision | Master in Computer Vision (MCV) | UAB, UOC, UPC & UPF |
CLP | Pattern recognition and machine learning | Degree in Telecommunications Technologies and Services Engineering | Telecom BCN - ETSETB |