|
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) |
|
Casamitjana A. Study of early stages of Alzheimer’s disease using magnetic resonance imaging Vilaplana V. Signal Theory and Communications. 2019 ;PhD. |
|
Domenech T. Clasificación de imágenes dermatoscópicas utilizando Redes Neuronales Convolucionales e información de metadatos Vilaplana V. 2019 . |
|
Casals R. Synthesis of acne images for data augmentation with generative adversarial networks Vilaplana V. 2019 . |
|
Domingo P. Interpretability of Deep Learning Models Vilaplana V. 2019 . |
|
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) |
|
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. |
