Ferrante, E.'s publications with sinc(i)

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Publications in 2019
Análisis automático de radiografías torácicas por medio de redes neuronales profundas   sinc_FF19.pdf
E. Fernández, E. Ferrante
Master thesis from Facultad de Ciencias Exactas y Naturales - Universidad de Buenos Aires - 2019
Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders   sinc_LMF19.pdf
A. Larrazabal, C. E. Martínez, E. Ferrante
MICCAI 2019: International Conference on Medical Image Computing and Computer-Assisted Intervention - 2019
Diseño y desarrollo de una herramienta para la segmentación automática en imágenes TAC de pacientes con traumatismo de cráneo mediante redes neuronales convolucionales. (Undergraduate project)   sinc_MF19.pdf
F. Matzkin, E. Ferrante
Master thesis from Facultad de Ingeniería y Ciencias Hídricas - Universidad Nacional del Litoral - 2019
Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation  
J. Bhalodiya, A. Palit, E. Ferrante, M. K. Tiwari, S. K. Bhudia, T. N. Arvanitis, M. A. Williams
Scientific reports, Volume 9, Number 1, page 1--13 - 2019
Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets  
N. Roulet, D. Fernandez Slezak, E. Ferrante
Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, Volume 102, page 401-413 - 08--10 Jul 2019
TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation   sinc_MKFA19.pdf
M. Monteiro, Kamnitsas K., E. Ferrante, et al.
MICCAI Brain Lesion Workshop - 2019
 
Publications in 2018
Deep learning with ultrasound physics for fetal skull segmentation.   sinc_CSLGFMGKR18.doi sinc_CSLGFMGKR18.pdf
J. Cerrolaza, M. Sinclair, Y. Li, A. Gómez, E. Ferrante, J. Matthew, C. Gupta, C. Knight, D. Rueckert
Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on, page 564--567 - 2018
Disease prediction using graph convolutional networks: application to autism spectrum disorder and alzheimer’s disease.   sinc_PKFLGGR18.doi sinc_PKFLGGR18.pdf
S. Parisot, S. I. Ktena, E. Ferrante, M. Lee, R. Guerrero, B. Glocker, D. Rueckert
Medical Image Analysis - 2018
Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities   sinc_STFDMMPSPSS18.doi
D. Stoyanov, Z. Taylor, E. Ferrante, A. Dalca, A. Martel, L. Maier-Hein, S. Parisot, A. Sotiras, B. Papiez, M. Sabuncu, L. Shen
Springer - 2018
Left ventricle quantification through spatio-temporal CNNs   sinc_Deb18.pdf
A. Debus, E. Ferrante
Statistical Atlases and Computational Modeling of the Heart (STACOM 2018) - 2018
On the adaptability of unsupervised cnn-based deformable image registration to unseen image domains   sinc_FOGM18.pdf
E. Ferrante, O. Oktay, B. Glocker, D. H. Milone
International Workshop on Machine Learning in Medical Imaging, page 294--302 - 2018
Segmentación automática multi-tarea de imágenes médicas utilizando redes neuronales profundas   sinc_RFF18.pdf
N. Roulet, D. Fernandez Slezak, E. Ferrante
Master thesis from Facultad de Ciencias Exactas y Naturales - Universidad de Buenos Aires - 2018
Segmentación multi-atlas de imágenes médicas con selección de atlas inteligente y control de calidad automático   sinc_MF18.pdf
L. Mansilla, E. Ferrante
XXIV Congreso Argentino de Ciencias de la Computación (La Plata, 2018). - 2018
Weakly-supervised learning of metric aggregations for deformable image registration   sinc_FDMN18.pdf
E. Ferrante, P. Dokania, R. Marini, P. Nikos
IEEE journal of biomedical and health informatics - 2018
 
Publications in 2017
Anatomically Constrained Neural Networks (ACNN): Application to cardiac image enhancement and segmentation   sinc_OFKHBCGCMDOKGR17.pdf
O. Oktay, E. Ferrante, K. Kamnitsas, M. Heinrich, W. Bai, J. Caballero, R. Guerrero, S. Cook, A. Marvao, T. Dawes, D. O Regan, B. Kainz, B. Glocker, D. Rueckert
IEEE Transactions on Medical Imaging - 2017
Deformable registration through learning of context-specific metric aggregation   sinc_FDMP17.pdf
E. Ferrante, P. Dokania, R. Marini, N. Paragios
8th International Workshop on Machine Learning in Medical Imaging - 2017
Distance metric learning using graph convolutional networks: Application to functional brain networks   sinc_KPFRLGR17.pdf
S. I. Ktena, S. Parisot, E. Ferrante, M. Rajchl, M. Lee, B. Glocker, D. Rueckert
International Conference on Medical Image Computing and Computer-Assisted Interventions (MICCAI) - 2017
Ensembles of multiple models and architectures for robust brain tumour segmentation   sinc_KBFMSPRLKRG18.pdf
K. Kamnitsas, W. Bai, E. Ferrante, S. McDonagh, M. Sinclair, N. Pawlowski, M. Rajchl, M. Lee, B. Kainz, D. Rueckert, B. Glocker
MICCAI BrainLes 2017 - 2017
Graph based slice-to-volume deformable registration   sinc_FP17.pdf
E. Ferrante, N. Paragios
International Journal of Computer Vision - 2017
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics   sinc_CAFPDPJBSNSFSDS17.doi
J. Cardoso, T. Arbel, E. Ferrante, X. Pennec, A. Dalca, S. Parisot, S. Joshi, N.K. Batmanghelich, A. Sotiras, M. Nielsen, M. Sabuncu, T. Fletcher, L. Shen, S. Durrleman, S. Sommer
Springer - 2017

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