Biomedical Applications

Type Start End
Internal Jan 2012 Dec 2020
Responsible URL
Verónica Vilaplana

Publications

Petrone P, Vilaplana V, Casamitjana A, Sanchez-Escobedo D, Tucholka A, Cacciaglia R, Operto G, Skouras S, Falcon C, Molinuevo JL, et al. Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening. lzheimer's & Dementia: The Journal of the Alzheimer's Association. 2017 ;13(7):P1245.
Petrone P, Vilaplana V, Casamitjana A, Tucholka A, Falcon C, Cacciaglia R, Operto G, Skouras S, Molinuevo JL, Gispert JD. Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening. In: Alzheimer’s Association International Conference, London, 2017. Alzheimer’s Association International Conference, London, 2017. ; 2017.
Romero-Lopez A, Burdick J, Giró-i-Nieto X, Marques O. The Impact of Segmentation on the Accuracy and Sensitivity of a Melanoma Classifier based on Skin Lesion Images. In: Annual Meeting of the Society of Imaging Informatics in Medicine (SIIM). Annual Meeting of the Society of Imaging Informatics in Medicine (SIIM). Pittsburgh, PA, USA: Society of Imaging Informatics for Medicine; 2017. (433.28 KB)
Romero-Lopez A, Burdick J, Giró-i-Nieto X, Marques O. Skin Lesion Classification from Dermoscopic Images using Deep Learning. In: The 13th IASTED International Conference on Biomedical Engineering (BioMed 2017). The 13th IASTED International Conference on Biomedical Engineering (BioMed 2017). Innsbruck Austria; 2017. (648.62 KB)
Castelló DRodríguez. Extracción de cráneo en imágenes de resonancia magnética del cerebro utilizando una red neuronal convolucional 3D Casamitjana A, Vilaplana V. 2017 .
Bellver M. Detection-aided medical image segmentation using deep learning Maninis K-K, Pont-Tuset J, van Gool L, Giró-i-Nieto X, Torres J. 2017 . (7.07 MB)
Górriz M. Active Deep Learning for Medical Imaging Segmentation Giró-i-Nieto X, Carlier A, Faure E. 2017 . (2.84 MB)
Casamitjana A, Puch S, Aduriz A, Vilaplana V. 3D Convolutional Neural Networks for Brain Tumor Segmentation: a comparison of multi-resolution architectures. In: Lecture Notes in Computer Vision. Vol. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Lecture Notes in Computer Vision. Springer; 2017. pp. 150-161.
Romero-Lopez A. Skin Lesion Detection from Dermoscopic Images using Convolutional Neural Networks Giró-i-Nieto X, Marques O. 2017 .
Puch S, Aduriz A, Casamitjana A, Vilaplana V, Gispert JD. Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling. In: NIPS 2016 Workshop on Machine Learning for Health. NIPS 2016 Workshop on Machine Learning for Health. ; 2016. (1.6 MB)

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