Biomedical Applications

Type Start End
Internal Jan 2012 Dec 2026
Responsible URL
Verónica Vilaplana

Publications

Petrone P, Casamitjana A, Falcon C, Cànaves MArtigues, Operto G, Cacciaglia R, Molinuevo JLuis, Vilaplana V, Gispert JD. Prediction of amyloid pathology in cognitively unimpaired individuals using voxelwise analysis of longitudinal structural brain MRI. Alzheimer's Research & Therapy. 2019 ;11(1).
Combalia M, Codella NCF, Rotemberg V, Helba B, Vilaplana V, Reiter O, Carrera C, Barreiro A, Halpern AC, Puig S, et al. BCN20000: Dermoscopic Lesions in the Wild. In: International Skin Imaging Collaboration (ISIC) Challenge on Dermoscopic Skin Lesion Analysis 2019. International Skin Imaging Collaboration (ISIC) Challenge on Dermoscopic Skin Lesion Analysis 2019. ; 2019.
Pareto D, Vidal P, Alberich M, Lopez C, Auger C, Tintoré M, Montalban X, Sastre-Garriga J, Vilaplana V, Rovira A. 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). Congress of the European Comitee for Treatment and Research in Multiple Sclerosis (ECTRIMS 2019). ; 2019.
Casamitjana A, Petrone P, Molinuevo JL, Gispert JD, 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 .
Casamitjana A, Petrone P, Falcon C, Artigues M, Operto G, Cacciaglia R, Molinuevo JL, Vilaplana V, Gispert JD. Detection of Amyloid Positive Cognitively unimpaired individuals using voxel-based machine learning on structural longitudinal brain MRI. In: Alzheimer's Association International Conference. Alzheimer's Association International Conference. ; 2019.
Combalia M, Pérez-Anker J, García-Herrera A, Alos L, Vilaplana V, Marques F, Puig S, Malvehy J. Digitally Stained Confocal Microscopy through Deep Learning. In: International Conference on Medical Imaging with Deep Learning (MIDL 2019). International Conference on Medical Imaging with Deep Learning (MIDL 2019). London; 2019.
Gullón N, Vilaplana V. Retinal lesions segmentation using CNNs and adversarial training. In: International Symposium on Biomedical Imaging (ISBI 2019). International Symposium on Biomedical Imaging (ISBI 2019). ; 2019.
Isart A, Espasa M, Vilaplana V, Sayrol E. CNN-based bacilli detection in sputum samples for tuberculosis diagnosis. In: International Symposium on Biomedical Imaging (ISBI 2019). International Symposium on Biomedical Imaging (ISBI 2019). ; 2019.
Kuijf H, Biesbroek M, de Bresser J, Heinen R, Andermatt S, Bento M, Berseth M, Belyaev M, Cardoso J, Casamitjana A, et al. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging. 2019 .
Górriz M, Antony J, McGuinness K, Giró-i-Nieto X, O'Connor N. Assessing Knee OA Severity with CNN attention-based end-to-end architectures. In: International Conference on Medical Imaging with Deep Learning (MIDL) 2019. International Conference on Medical Imaging with Deep Learning (MIDL) 2019. London, United Kingdom: JMLR; 2019. (3.1 MB)

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