Enzo Ferrante

发表

Spectral Graph Convolutions for Population-based Disease Prediction

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

Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study.

D. Rueckert, B. Glocker, K. Kamnitsas, 2020, The Lancet. Digital health.

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

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

AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design

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

Proceedings of the Workshop on Graphs in Biomedical Image Analysis MICCAI-GRAIL 2017

Sarah Parisot, Enzo Ferrante, A. Sotiras, 2017 .

Addressing fairness in artificial intelligence for medical imaging

Enzo Ferrante, Rodrigo Echeveste, María Agustina Ricci Lara, 2022, Nature Communications.

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

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

Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis

Enzo Ferrante, Candelaria Mosquera, Nicolás Gaggion, 2022, IEEE Transactions on Medical Imaging.

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

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

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).

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.

Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology

Alejandro F Frangi, Alejandro F. Frangi, S. Plein, 2023, ArXiv.

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..

Metric learning with spectral graph convolutions on brain connectivity networks

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

Spectral Graph Convolutions on Population Graphs for Disease Prediction

D. Rueckert, B. Glocker, Sarah Parisot, 2017 .

SUD: Supervision by Denoising for Medical Image Segmentation

Adrian V. Dalca, J. E. Iglesias, Sean I. Young, 2022, ArXiv.

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.

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

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

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.

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

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

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

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

(Hyper)-graphical models in biomedical image analysis

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

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

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

Orthogonal Ensemble Networks for Biomedical Image Segmentation pdf

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

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).

DeepMedic for Brain Tumor Segmentation

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

Domain Generalization via Gradient Surgery pdf

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

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

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

Slice-to-volume medical image registration: a survey

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

Graph-Based Slice-to-Volume Deformable Registration

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

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.

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

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

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.

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

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

Cranial Implant Design via Virtual Craniectomy with Shape Priors

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

Bridging physiological and perceptual views of autism by means of sampling-based Bayesian inference

Diego H. Milone, Enzo Ferrante, I. Samengo, 2021, Network Neuroscience.

A bridge between physiological and perceptual views of autism by means of sampling-based Bayesian inference

Diego H. Milone, Enzo Ferrante, I. Samengo, 2021 .

Towards unraveling calibration biases in medical image analysis

Enzo Ferrante, Candelaria Mosquera, Rodrigo Echeveste, 2023, CLIP/FAIMI/EPIMI@MICCAI.

Unsupervised Lesion Detection in Brain CT using Bayesian Convolutional Autoencoders

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2018 .

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

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

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.

Left ventricle quantification through spatio-temporal CNNs pdf

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

Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics

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

Supervision by Denoising.

Adrian V. Dalca, Christopher A. Metzler, J. E. Iglesias, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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).

Learning Deformable Registration of Medical Images with Anatomical Constraints

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

Prior-Based Coregistration and Cosegmentation

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

Are demographically invariant models and representations in medical imaging fair?

Enzo Ferrante, M. Ganz, Eike Petersen, 2023, ArXiv.

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Maria A. Zuluaga, M. Jorge Cardoso, Suyash P. Awate, 2023, ArXiv.

CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images

Enzo Ferrante, Candelaria Mosquera, Nicolás Gaggion, 2023, ArXiv.

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

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

Assessing robustness and generalization of a deep neural network for brain MS lesion segmentation on real-world data.

Diego E. Shalom, Enzo Ferrante, J. Correale, 2023, European radiology.

Arabidopsis roots segmentation based on morphological operations and CRFs pdf

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