Journal Articles by Veronica Vilaplana back

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.
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.
A. Casamitjana, Petrone, P., Tucholka, A., Falcon, C., Skouras, S., Molinuevo, J. Luis, Vilaplana, V., and Gispert, J. D., MRI-Based Screening of Preclinical Alzheimer's Disease for Prevention Clinical Trials, Journal of Alzheimer's Disease, vol. 64, no. 4, 2018.
P. Petrone, Casamitjana, A., Falcon, C., Artigues, M., Operto, G., Skouras, S., Molinuevo, J. L., Vilaplana, V., and Gispert, J. D., Characteristic Brain Volumetric Changes in the AD Preclinical Signature., Alzheimer's & Dementia: The Journal of the Alzheimer's Association, vol. 14, no. 7, p. P1235, 2018.
A. Casamitjana, Petrone, P., Artigues, M., Molinuevo, J. L., Gispert, J. D., and Vilaplana, V., Projection to Latent Spaces Disentangles Specific Cerebral Morphometric Patterns Associated to Aging and Preclinical AD, Alzheimer's & Dementia: The Journal of the Alzheimer's Association , vol. 14, no. 7, pp. P869-P870, 2018.
P. Petrone, Vilaplana, V., Casamitjana, A., Sanchez-Escobedo, D., Tucholka, A., Cacciaglia, R., Operto, G., Skouras, S., Falcon, C., Molinuevo, J. L., and Gispert, J. D., Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening, lzheimer's & Dementia: The Journal of the Alzheimer's Association, vol. 13, no. 7, p. P1245, 2017.
V. Vilaplana, Saliency Maps on Image Hierarchies, Signal Processing: Image Communication. Special Issue on Recent Advances in Saliency Models, Applications and Evaluations, vol. 38, pp. 84-99, 2015.
C. Ventura, Vilaplana, V., Giró-i-Nieto, X., and Marqués, F., Improving retrieval accuracy of Hierarchical Cellular Trees for generic metric spaces, Multimedia Tools and Applications, 2013. (1.97 MB)
V. Vilaplana, Marqués, F., and Salembier, P., Binary partition trees for object detection, IEEE transactions on image processing, vol. 17, pp. 1–16, 2008. (1.66 MB)
P. Figueras, Haas, C., Capdevila, C., and Vilaplana, V., Las Mancomunidades en España, Boletí de la Asociación de Geógrafos Españoles, pp. 151–176, 2005.
F. Marqués and Vilaplana, V., Face segmentation and tracking based on connected operators and partition projection, Pattern recognition, vol. 35, pp. 601–614, 2002.
V. Vilaplana and Marqués, F., A region-based approach to face segmentation and tracking in video sequences, Latin american applied research, vol. 31, pp. 99–106, 2001.