Veronica Vilaplana

Position e-mail
Associate Professor veronica.vilaplana@upc.edu
Office Phone
CN: D5-118 / EET: 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 applications. 

Scientific IDs:

Google Scholar,     ORCID0000-0001-6924-9961
Scopus Author ID35098596700,     Researcher ID: O-1726-2014,     UPC Futur 

LinkedIn,      ResearchGate

Journal Articles top

In Press
H. Kuijf, Biesbroek, M., de Bresser, J., Heinen, R., Andermatt, S., Bento, M., Berseth, M., Belyaev, M., Cardoso, J., Casamitjana, A., Collins, L., Dadar, M., Georgiou, A., Ghafoorian, M., Jin, D., Khademi, A., Knight, J., Li, H., Llado, X., Luna, M., Mahmood, Q., McKinley, R., Mehrtash, A., Ourselin, S., Park, B. -yong, Park, H., Park, S. Hyun, Pezold, S., Puybareau, E., Rittner, L., Sudre, C., Valverde, S., Vilaplana, V., Wiest, R., Xu, Y., Xu, Z., Zeng, G., Zhang, J., Zheng, G., Chen, C., van der Flier, W., Barkhof, F., Viergever, M., and Biessels, G. Jan, Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge, IEEE Transactions on Medical Imaging, In Press.
J. Gené-Mola, Vilaplana, V., Rosell-Polo, J. R., Morros, J. R., Ruiz-Hidalgo, J., and Gregorio, E., Multi-modal Deep Learning for Fuji Apple Detection Using RGB-D Cameras and their Radiometric Capabilities, Computers and Electronics in Agriculture, In Press.
2019
L. Wang, Nie, D., Li, G., Puybareau, E., Dolz, J., Zhang, Q., Wang, F., Xia, J., Wu, Z., Chen, J., -HanThung, K., Bui, T. Duc, Shin, J., Zeng, G., Zheng, G., Fonov, V. S., Doyle, A., Xu, Y., Moeskops, P., Pluim, J., Desrosiers, C., Ben Ayed, I., Sanroma, G., Benkarim, O., Casamitjana, A., Vilaplana, V., Lin, W., Li, G., and Shen, D., Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge, IEEE Transactions on Medical Imaging, 2019.
C. Ventura, Varas, D., Vilaplana, V., Giró-i-Nieto, X., and Marques, F., Multiresolution co-clustering for uncalibrated multiview segmentation, Signal Processing: Image Communication, 2019. (4.35 MB)
M. Sala, Soriguera, F., Huillca, K., and Vilaplana, V., Measuring traffic lane-changing by converting video into space-time still images, Computer-Aided Civil and Infrastructure Engineering, 2019.

Book Chapters and Bookstop

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.
A. Casamitjana, Catà, M., Sánchez, I., Combalia, M., and Vilaplana, V., 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.
2017
A. Casamitjana, Puch, S., Aduriz, A., and Vilaplana, V., 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.

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

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