Enzo Ferrante

发表

Weakly Supervised Learning of Metric Aggregations for Deformable Image Registration

Nikos Paragios, Enzo Ferrante, Puneet Kumar Dokania, 2018, IEEE Journal of Biomedical and Health Informatics.

Segmentación multi-atlas de imágenes médicas con selección de atlas inteligente y control de calidad automático

Enzo Ferrante, Lucas Mansilla, Enzo Ferrante, 2018 .

Left ventricle quantification through spatio-temporal CNNs pdf

Enzo Ferrante, Alejandro Debus, Enzo Ferrante, 2018, STACOM@MICCAI.

Graph-based deformable registration : slice-to-volume mapping and context specific methods. (Recalage déformable à base de graphes : mise en correspondance coupe-vers-volume et méthodes contextuelles)

Enzo Ferrante, 2016 .

Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets pdf

Diego Fernández Slezak, Enzo Ferrante, Nicolas Roulet, 2018, MIDL.

TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation

Konstantinos Kamnitsas, Daniel Rueckert, Steven McDonagh, 2019, BrainLes@MICCAI.

Slice-to-volume medical image registration: a survey

Nikos Paragios, Enzo Ferrante, N. Paragios, 2017, Medical Image Anal..

Unsupervised Lesion Detection in Brain CT using Bayesian Convolutional Autoencoders

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2018 .

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2017, IEEE Transactions on Medical Imaging.

Cranial Implant Design via Virtual Craniectomy with Shape Priors

Enzo Ferrante, Ben Glocker, Virginia Newcombe, 2020, AutoImplant@MICCAI.

Slice-to-volume deformable registration: efficient one-shot consensus between plane selection and in-plane deformation

Nikos Paragios, Enzo Ferrante, Vivien Fecamp, 2015, International Journal of Computer Assisted Radiology and Surgery.

Deep learning with ultrasound physics for fetal skull segmentation

Daniel Rueckert, Juan J. Cerrolaza, Matthew Sinclair, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease

Ben Glocker, Daniel Rueckert, Ricardo Guerrero, 2018, Medical Image Anal..

Prior-Based Coregistration and Cosegmentation

Iasonas Kokkinos, Nikos Paragios, Samuel Kadoury, 2016, MICCAI.

Non-rigid 2D-3D Medical Image Registration Using Markov Random Fields

Nikos Paragios, Enzo Ferrante, N. Paragios, 2013, MICCAI.

Deformable Registration Through Learning of Context-Specific Metric Aggregation

Nikos Paragios, Enzo Ferrante, Puneet Kumar Dokania, 2017, MLMI@MICCAI.

On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains

Ben Glocker, Diego H. Milone, Ozan Oktay, 2018, MLMI@MICCAI.

Learning Deformable Registration of Medical Images with Anatomical Constraints

Diego H. Milone, Enzo Ferrante, Lucas Mansilla, 2020, Neural Networks.

Rigid Slice-To-Volume Medical Image Registration Through Markov Random Fields

Nikos Paragios, Enzo Ferrante, Roque Porchetto, 2016, MCV/BAMBI@MICCAI.

Unsupervised domain adaptation via CycleGAN for white matter hyperintensity segmentation in multicenter MR images

Enzo Ferrante, Julian Alberto Palladino, Diego Fernandez Slezak, 2020, Symposium on Medical Information Processing and Analysis.

Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising Autoencoders

Enzo Ferrante, Ben Glocker, Agostina J. Larrazabal, 2020, IEEE Transactions on Medical Imaging.

Arabidopsis roots segmentation based on morphological operations and CRFs pdf

José Ignacio Orlando, Enzo Ferrante, Hugo Luis Manterola, 2017, ArXiv.

Clausula: A Didactic Tool to Teach First Order Logic

Enzo Ferrante, María Virginia Mauco, 2009 .

Educational Software for First Order Logic Semantics in Introductory Logic Courses

Enzo Ferrante, María Virginia Mauco, Laura Felice, 2014 .

Implicit planar and in-plane deformable mapping in medical images through high order graphs

Nikos Paragios, Enzo Ferrante, Vivien Fecamp, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2017, BrainLes@MICCAI.

(Hyper)-graphical models in biomedical image analysis

Nikos Komodakis, Nikos Paragios, Evangelia I. Zacharaki, 2016, Medical Image Anal..

Graph-Based Slice-to-Volume Deformable Registration

Nikos Paragios, Enzo Ferrante, N. Paragios, 2017, International Journal of Computer Vision.

Metric learning with spectral graph convolutions on brain connectivity networks

Ben Glocker, Daniel Rueckert, Martin Rajchl, 2018, NeuroImage.

Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation

Theodoros N. Arvanitis, Theodoros N Arvanitis, Enzo Ferrante, 2019, Scientific Reports.

Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy pdf

Enzo Ferrante, Tom Newman, Susan Stevenson, 2020, MICCAI.

Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders

Enzo Ferrante, Agostina J. Larrazabal, César E. Martínez, 2019, MICCAI.

Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis

Diego H. Milone, Victoria Peterson, Enzo Ferrante, 2020, Proceedings of the National Academy of Sciences.

Sub-cortical brain structure segmentation using F-CNN'S

Iasonas Kokkinos, Nikos Paragios, Samuel Kadoury, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics

M. Jorge Cardoso, Mert R. Sabuncu, Li Shen, 2017, Lecture Notes in Computer Science.

Spectral Graph Convolutions for Population-based Disease Prediction

Ben Glocker, Daniel Rueckert, Sofia Ira Ktena, 2017, MICCAI.

ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture

Diego H. Milone, Enzo Ferrante, Diego H. Milone, 2020, bioRxiv.

Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks

Ben Glocker, Daniel Rueckert, Martin Rajchl, 2017, MICCAI.

DeepMedic for Brain Tumor Segmentation

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2016, BrainLes@MICCAI.

Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images

Tanveer F. Syeda-Mahmood, Nishant Ravikumar, Enzo Ferrante, 2021, MICCAI.

Hybrid graph convolutional neural networks for landmark-based anatomical segmentation

Diego H. Milone, Enzo Ferrante, Lucas Mansilla, 2021, MICCAI.

Domain Generalization via Gradient Surgery pdf

Diego H. Milone, Enzo Ferrante, Lucas Mansilla, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design

Dieter Schmalstieg, Antonio Pepe, Christina Gsaxner, 2021, IEEE Transactions on Medical Imaging.

Understanding the impact of class imbalance on the performance of chest x-ray image classifiers pdf

Luciana Ferrer, Enzo Ferrante, Candelaria Mosquera, 2021, ArXiv.

Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data

Georgios Tziritas, Eric Kerfoot, Jin Ma, 2021, IEEE Journal of Biomedical and Health Informatics.

Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation pdf

Jose Dolz, Enzo Ferrante, Agostina Larrazabal, 2021, ArXiv.

Orthogonal Ensemble Networks for Biomedical Image Segmentation pdf

Jose Dolz, Enzo Ferrante, Agostina J. Larrazabal, 2021, MICCAI.

Non-rigid 2 D-3 D Medical Image Registration using Markov Random Fields

Nikos Paragios, Enzo Ferrante, 2017 .