Journal Articles by Veronica Vilaplana back

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.
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, 2024.
O. Pina and Vilaplana, V., “Feature propagation as self-supervision signals on graphs”, Knowledge-Based Systems, vol. 289, 2024.
C. Hernandez, Combalia, M., Podlipnik, S., Codella, N. C. F., Rotemberg, V., Halpern, A. C., Reiter, O., Carrera, C., Barreiro, A., Helba, B., Puig, S., Vilaplana, V., and Malvehy, J., “Bcn20000: Dermoscopic lesions in the wild”, Nature - Scientific Data, vol. 11, 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.
J. Gené-Mola, Ferrer-Ferrer, M., Gregorio, E., Blok, P. M., Hemming, J., Morros, J. R., Rosell-Polo, J. R., Vilaplana, V., and Ruiz-Hidalgo, J., “Looking behind occlusions: A study on amodal segmentation for robust on-tree apple fruit size estimation”, Computers and Electronics in Agriculture, vol. 209, 2023. (9.02 MB)
M. Ferrer-Ferrer, Ruiz-Hidalgo, J., Gregorio, E., Vilaplana, V., Morros, J. R., and Gené-Mola, J., “Simultaneous Fruit Detection and Size Estimation Using Multitask Deep Neural Networks  ”, Biosystems Engineering, vol. 233, pp. 63-75, 2023. (10.36 MB)
2022
R. Metha, Filos, A., Baid, U., Mora, L., Vilaplana, V., Davatzikos, C., Menze, B., Bakas, S., Gal, Y., and Arbel, T., “QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Metrics and Benchmarking Results”, Journal of Machine Learning for Biomedical Imaging, 2022.
L. Salgueiro, Marcello, J., and Vilaplana, V., “SEG-ESRGAN: A multi-task network for super-resolution and semantic segmentation of remote sensing images”, Remote Sensing, vol. 14, no. 22, 2022.
2021
S. Abadal, Salgueiro, L., Marcello, J., and Vilaplana, V., “A Dual Network for Super-Resolution and Semantic Segmentation of Sentinel-2 imagery”, Remote Sensing, vol. 13, no. 22, p. 4547, 2021.
L. Salgueiro, Marcello, J., and Vilaplana, V., “Single-image super-resolution of Sentinel-2 low resolution bands with residual dense convolutional neural networks”, Remote Sensing, vol. 13, no. 24, p. 5007, 2021.
2020
A. Casamitjana, Vilaplana, V., Puch, S., Aduriz, A., Lopez, C., Operto, G., Cacciaglia, R., Falcon, C., Molinuevo, J. L., and Gispert, J. D., “NeAT: a nonlinear analysis toolbox for neuroimaging”, Neuroinformatics, 2020.
J. Gené-Mola, Sanz, R., Rosell-Polo, J. R., Morros, J. R., Ruiz-Hidalgo, J., Vilaplana, V., and Gregorio, E., “Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry”, vol. Data in Brief, no. Vol. 30, 2020.
A. Casamitjana, Petrone, P., Molinuevo, J. Luis, Gispert, J. D., and Vilaplana, V., “Projection to Latent Spaces disentangles pathological effects on brain morphology in the asymptomatic phase of Alzheimer’s disease”, Frontiers in Neurology, section Applied Neuroimaging, vol. 11, 2020.
L. Salgueiro, Marcello, J., and Vilaplana, V., “Super-Resolution of Sentinel-2 Imagery Using Generative Adversarial Networks”, Remote Sensing, vol. 12, no. 15, 2020.
J. Gené-Mola, Sanz, R., Rosell-Polo, J. R., Morros, J. R., Ruiz-Hidalgo, J., Vilaplana, V., and Gregorio, E., “Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry”, Computers and Electronics in Agriculture, vol. 169, 2020.
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.
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, 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)
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, vol. 162, 2019.
J. Gené-Mola, Vilaplana, V., Rosell-Polo, J. R., Morros, J. R., Ruiz-Hidalgo, J., and Gregorio, E., “KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data”, Data in Brief, 2019. (2.43 MB)
P. Petrone, Casamitjana, A., Falcon, C., Cànaves, M. Artigues, Operto, G., Cacciaglia, R., Molinuevo, J. Luis, Vilaplana, V., and Gispert, J. D., “Prediction of amyloid pathology in cognitively unimpaired individuals using voxelwise analysis of longitudinal structural brain MRI”, Alzheimer's Research & Therapy, vol. 11, no. 1, 2019.
A. Casamitjana, Petrone, P., Molinuevo, J. L., Gispert, J. D., and Vilaplana, V., “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, 2019.
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.
J. Gené-Mola, Gregorio, E., Guevara, J., Cheein, F. Auat, Sanz, R., Escolà, A., Calveras, J. Llorens, Morros, J. R., Ruiz-Hidalgo, J., Vilaplana, V., and Rosell-Polo, J. R., “Fruit Detection in an Apple Orchard Using a Mobile Terrestrial Laser Scanner”, Biosystems Engineering, vol. 187, 2019.
A. Casamitjana, Petrone, P., Falcon, C., Artigues, M., Operto, G., Cacciaglia, R., Molinuevo, J. L., Vilaplana, V., and Gispert, J. D., “Detection of Amyloid-Positive Cognitively Unimpaired Individuals Using Voxel-Based Machine Learning on Structural Longitudinal Brain MRI”, Alzheimer's & Dementia, vol. 15, no. 754, 2019.
2018
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.
2017
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”, Alzheimer's & Dementia: The Journal of the Alzheimer's Association, vol. 13, no. 7, p. P1245, 2017.
2015
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.
2013
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)
2008
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)
2005
P. Figueras, Haas, C., Capdevila, C., and Vilaplana, V., “Las Mancomunidades en España”, Boletí de la Asociación de Geógrafos Españoles, pp. 151–176, 2005.
2002
F. Marqués and Vilaplana, V., “Face segmentation and tracking based on connected operators and partition projection”, Pattern recognition, vol. 35, pp. 601–614, 2002.
2001
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.