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

  • 51 publications
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Publications in 2024
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images   sinc_GMMSAMF24.doi sinc_GMMSAMF24.pdf
N. Gaggion, C. Mosquera, L. Mansilla, J. Saidman, M. Aineseder, D. H. Milone, E. Ferrante
Scientific Data, Number 1, page 511 - 2024
Class imbalance on medical image classification: towards better evaluation practices for discrimination and calibration performance   sinc_MFMLF24.doi sinc_MFMLF24.pdf
C. Mosquera, L. Ferrer, D. H. Milone, D. Luna, E. Ferrante
European Radiology - jun 2024
Demographically-Informed Prediction Discrepancy Index: Early Warnings of Demographic Biases for Unlabeled Populations   sinc_MCEMF24.doi sinc_MCEMF24.pdf
L. Mansilla, E. Claucich, R. Echeveste, D. H. Milone, E. Ferrante
Transactions on Machine Learning Research - 2024
 
Publications in 2023
Análisis de sesgos en algoritmos de clasificación de oximetría de pulso para detección de trastornos del sueño   sinc_PFLDR23.pdf
J. Perero, E. Ferrante, L. Larrateguy, L. Di Persia, H. L. Rufiner
Argentine Symposium on Artificial Intelligence (ASAI 2023) - 52 Argentine Conference on Informatics and Operations Research (JAIIO) - 2023
 
Publications in 2022
Addressing fairness in artificial intelligence for medical imaging   sinc_REF22.doi sinc_REF22.pdf
M. A. Ricci Lara, R. Echeveste, E. Ferrante
Nature Communications, Volume 13 - 2022
Bridging physiological and perceptual views of autism by means of sampling-based Bayesian inference   sinc_EFMS22.doi sinc_EFMS22.pdf
R. Echeveste, E. Ferrante, D. H. Milone, I. Samengo
Network Neuroscience, page 1--17 - jan 2022
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis   sinc_GMMMF22.doi sinc_GMMMF22.pdf
N. Gaggion, L. Mansilla, C. Mosquera, D. H. Milone, E. Ferrante
IEEE Transactions on Medical Imaging - 2022
Multi-center anatomical segmentation with heterogeneous labels via landmark-based models   sinc_GVMF22.doi sinc_GVMF22.pdf
N. Gaggion, M. Vakalopoulou, D. H. Milone, E. Ferrante
arXiv preprint arXiv:2211.07395 - 2022
 
Publications in 2021
ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture   sinc_GADLLRCMCBF21.doi sinc_GADLLRCMCBF21.pdf
N. Gaggion, F. Ariel, V. Daric, É. Lambert, S. Legendre, T. Roulé, A. Camoirano, D. H. Milone, M. Crespi, T. Blein, E. Ferrante
GigaScience, Volume 10, Number 7 - 2021
Desarrollo de aplicación móvil para reconocimiento y valoración de cervezas artesanales (Undergraduate project)   sinc_PFA21.pdf
M. Paiva, E. Ferrante, E. M. Albornoz
Master thesis from Facultad de Ingeniería y Ciencias Hídricas - Universidad Nacional del Litoral - 2021
Domain Generalization via Gradient Surgery   sinc_MEMF21.pdf
L. Mansilla, R. Echeveste, D. H. Milone, E. Ferrante
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), page 6630--6638 - 2021
Generación de mapas de calor de un partido de básquetbol a partir del procesamiento de video   sinc_BEPMFA21.pdf
J. Bourlot, G. Erbele, E. Priemer, C. E. Martínez, E. Ferrante, E. M. Albornoz
XXVII Congreso Argentino De Ciencias De La Computación (CACIC) - 2021
Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation   sinc_GMMF21a.doi sinc_GMMF21a.pdf
N. Gaggion, L. Mansilla, D. H. Milone, E. Ferrante
Medical Image Computing and Computer Assisted Intervention -- MICCAI 2021, page 600--610 - 2021
On the relationship between research parasites and fairness in machine learning: challenges and opportunities   sinc_NLPMF21.doi sinc_NLPMF21.pdf
N. Nieto, A. Larrazabal, V. Peterson, D. H. Milone, E. Ferrante
GigaScience, Volume 10, Number 12 - 2021
 
Publications in 2020
Cranial Implant Design via Virtual Craniectomy with Shape Priors   sinc_MNGF20.pdf
F. Matzkin, V. F. J. Newcombe, B. Glocker, E. Ferrante
Towards the Automatization of Cranial Implant Design in Cranioplasty, page 37--46 - 2020
Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis   sinc_LNPMF20.doi sinc_LNPMF20.pdf
A. Larrazabal, N. Nieto, V. Peterson, D. H. Milone, E. Ferrante
Proceedings of the National Academy of Sciences - 2020
Learning deformable registration of medical images with anatomical constraints   sinc_MMF20.doi sinc_MMF20.pdf
L. Mansilla, D. H. Milone, E. Ferrante
Neural Networks, Volume 124, page 269--279 - 2020
Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study   sinc_MNMKFDWRMG20.doi
M. Monteiro, V. F. J. Newcombe, F. Mathieu, Kamnitsas K., E. Ferrante, T. Das, K. Adatia, D. Rueckert, D. K. Menon, B. Glocker
The Lancet Digital Health, Volume 2, Number 6, page 314--322 - 2020
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders   sinc_LMGF20.doi sinc_LMGF20.pdf
A. Larrazabal, C. E. Martínez, B. Glocker, E. Ferrante
IEEE Transactions on Medical Imaging - 2020
Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy   sinc_MNSKNDSGF20.pdf
F. Matzkin, V. F. J. Newcombe, S. Stevenson, A. Khetani, T. Newman, R. Digby, A. Stevens, B. Glocker, E. Ferrante
Medical Image Computing and Computer Assisted Intervention -- MICCAI 2020, page 390--399 - 2020
 
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
Metric learning with spectral graph convolutions on brain connectivity networks   sinc_KPFRLGR17a.doi sinc_KPFRLGR17a.pdf
S. I. Ktena, S. Parisot, E. Ferrante, M. Rajchl, M. Lee, B. Glocker, D. Rueckert
NeuroImage - 2017
Slice-to-volume medical image registration: A survey   sinc_FP17a.pdf
E. Ferrante, N. Paragios
Medical Image Analysis, Volume 39 - 2017
Spectral graph convolutions for population-based disease prediction   sinc_PKFLGGR17.pdf
S. Parisot, S. I. Ktena, E. Ferrante, M. Lee, R. Guerrero Moreno, B. Glocker, D. Rueckert
International Conference on Medical Image Computing and Computer-Assisted Interventions (MICCAI) - 2017
 
Publications in 2016
(Hyper)-graphical models in biomedical image analysis   sinc_PFGKPZ16.pdf
N. Paragios, E. Ferrante, B. Glocker, N. Komodakis, S. Parisot, E. I. Zacharaki
Medical Image Analysis, page 102--106 - 2016
DeepMedic for brain tumor segmentation   sinc_KFPLNCRG17a.pdf
K. Kamnitsas, E. Ferrante, S. Parisot, C. Ledig, A. V. Nori, A. Criminisi, D. Rueckert, B. Glocker
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injurie, page 138--149 - 2016
Prior-based coregistration and cosegmentation   sinc_SFTLKKP16.pdf
M. Shakeri, E. Ferrante, S. Tsogkas, S. Lippe, S. Kadoury, I. Kokkinos, N. Paragios
International Conference on Medical Image Computing and Computer-Assisted Interventions (MICCAI) - 2016
Rigid slice-to-volume medical image registration through markov random fields   sinc_PSPF16.pdf
R. Porchetto, F. Stramana, N. Paragios, E. Ferrante
Bayesian and Graphical Models for Biomedical Imaging Workshop, BAMBI - MICCAI - 2016
Sub-cortical brain structure segmentation using F-CNNS   sinc_SFTLKKP16.pdf
M. Shakeri, S. Tsogkas, E. Ferrante, S. Lippe, S. Kadoury, N. Paragios, I. Kokkinos
International Symposium on Biomedical Imaging (ISBI) - 2016
 
Publications in 2015
Implicit planar and in-plane deformable mapping in medical images through high order graphs   sinc_FFP15.pdf
E. Ferrante, V. Fecamp, N. Paragios
12th IEEE International Symposium on Biomedical Imaging (ISBI) - 2015
Slice-to-volume deformable registration: efficient one-shot consensus between plane selection and in-plane deformation   sinc_FFP15a.pdf
E. Ferrante, V. Fecamp, N. Paragios
International Journal for Computer Assisted Radiology and Surgery - 2015
 
Publications in 2013
Non-rigid 2D-3D medical image registration using markov random fields   sinc_FP13.pdf
E. Ferrante, N. Paragios
16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) - 2013

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