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Casamitjana A. Study of early stages of Alzheimer’s disease using magnetic resonance imaging Vilaplana V. Signal Theory and Communications. 2019 ;PhD. |
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Domenech T. Clasificación de imágenes dermatoscópicas utilizando Redes Neuronales Convolucionales e información de metadatos Vilaplana V. 2019 . |
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Casals R. Synthesis of acne images for data augmentation with generative adversarial networks Vilaplana V. 2019 . |
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Domingo P. Interpretability of Deep Learning Models Vilaplana V. 2019 . |
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Tarrés L. Clasificación de lesiones de piel con un ensemble de redes neuronales residuales Vilaplana V, Combalia M. 2019 . |
Caros M. A Generative Dialogue System for Reminiscence Therapy Radeva P, Giró-i-Nieto X. 2019 . (4.89 MB) |
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Bellot P, Salembier P, Pham NC, Meyer PE. Unsupervised GRN Ensemble. In: Sanguinetti G., Huynh-Thu V. (eds) Methods in Molecular Biology . Vol. 1883. Sanguinetti G., Huynh-Thu V. (eds) Methods in Molecular Biology . New York, NY: Springer science, Humana Press; 2019. pp. 283-302. |
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Casamitjana A, Vilaplana V, Petrone P, Molinuevo JLuis, Gispert JD. Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease. In: Workshop on Predictive Intelligence in Medicine (PRIME), MICCAI. Workshop on Predictive Intelligence in Medicine (PRIME), MICCAI. Granada, Spain; 2018. |
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Combalia M, Vilaplana V. Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification. In: Workshop on Deep Learning in Medical Image Analysis, MICCAI. Workshop on Deep Learning in Medical Image Analysis, MICCAI. Granada, Spain; 2018. |
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Bakas S, Reyes M, Jakab A, Bauer S, Casamitjana A, Vilaplana V, Al. et. Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. In: MICCAI - Multimodal Brain Tumor Segmentation Challenge. MICCAI - Multimodal Brain Tumor Segmentation Challenge. ; 2018. |
