Conference Papers by Adrià Casamitjanaback
“Detection of Amyloid Positive Cognitively unimpaired individuals using voxel-based machine learning on structural longitudinal brain MRI”, in Alzheimer's Association International Conference, 2019. | ,
“Characteristic Brain Volumetric Changes in the AD Preclinical Signature”, in Alzheimer's Association International Conference, Chicago, USA, 2018. | ,
“Projection to Latent Spaces Disentangles Specific Cerebral Morphometric Patterns Associated to Aging and Preclinical AD”, in Alzheimer's Association International Conference, Chicago, USA, 2018. | ,
“Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease”, in Workshop on Predictive Intelligence in Medicine (PRIME), MICCAI, Granada, Spain, 2018. | ,
“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, 2018. | ,
“Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening”, in Alzheimer’s Association International Conference, London, 2017, 2017. | ,
“Masked V-Net: an approach to brain tumor segmentation”, in Multimodal Brain Tumor Segmentation Benchmark, Brain-lesion Workshop, MICCAI 2017 , 2017. | ,
“Augmented V-Net for White Matter Hyperintensities segmentation”, in WMH Segmentation Challenge, Brain-lesion Workshop, MICCAI 2017 , 2017. | ,
“Augmented V-Net for infant brain segmentation”, in MICCAI Grand Challenge on 6-month Infant Brain MRI Segmentation, MICCAI 2017, 2017. | ,
“Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling”, in NIPS 2016 Workshop on Machine Learning for Health, 2016. (1.6 MB) | ,
“3D Convolutional Neural Networks for Brain Tumor Segmentation”, in MICCAI 2016 - Brain Lesion Workshop (BrainLes), Multimodal Brain Tumor Segmentation Challenge (BRATS), 2016. (226.04 KB) | ,