Biomedical Applications

Type Start End
Internal Jan 2012 Dec 2020
Responsible URL
Ferran Marqués

Publications

Górriz M, Giró-i-Nieto X, Carlier A, Faure E. Cost-Effective Active Learning for Melanoma Segmentation. In: ML4H: Machine Learning for Health Workshop at NIPS 2017. ML4H: Machine Learning for Health Workshop at NIPS 2017. Long Beach, CA, USA; In Press. (519.78 KB)
Bellver M, Caelles S, Maninis K-K, Pont-Tuset J, Giró-i-Nieto X. Detection-aided liver lesion segmentation using deep learning. In: ML4H: Machine Learning for Health Workshop at NIPS 2017. ML4H: Machine Learning for Health Workshop at NIPS 2017. ; In Press. (1 MB)
Górriz M, Giró-i-Nieto X, Carlier A, Faure E. Active Deep Learning for Medical Imaging Segmentation. In: Medical Image meets NIPS 2017 Workshop. Medical Image meets NIPS 2017 Workshop. ; In Press. (187.43 KB)
Catà M, Casamitjana A, Sánchez I, Combalia M, Vilaplana V. Masked V-Net: an approach to brain tumor segmentation. In: Multimodal Brain Tumor Segmentation Benchmark, Brain-lesion Workshop, MICCAI 2017 . Multimodal Brain Tumor Segmentation Benchmark, Brain-lesion Workshop, MICCAI 2017 . ; 2017.
Casamitjana A, Sánchez I, Combalia M, Vilaplana V. Augmented V-Net for infant brain segmentation. In: MICCAI Grand Challenge on 6-month Infant Brain MRI Segmentation, MICCAI 2017. MICCAI Grand Challenge on 6-month Infant Brain MRI Segmentation, MICCAI 2017. ; 2017.
Casamitjana A, Sánchez I, Combalia M, Vilaplana V. Augmented V-Net for White Matter Hyperintensities segmentation. In: WMH Segmentation Challenge, Brain-lesion Workshop, MICCAI 2017 . WMH Segmentation Challenge, Brain-lesion Workshop, MICCAI 2017 . ; 2017.
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)
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)

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