Enzo Ferrante

According to our database, Enzo Ferrante authored at least 61 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Demographically-Informed Prediction Discrepancy Index: Early Warnings of Demographic Biases for Unlabeled Populations.

Lucas Mansilla, Estanislao Claucich, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante

Trans. Mach. Learn. Res., 2024

Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology.

Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard D. Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi

Nat. Mac. Intell., 2024

Open Challenges on Fairness of Artificial Intelligence in Medical Imaging Applications.

Enzo Ferrante, Rodrigo Echeveste

CoRR, 2024

ViG-Bias: Visually Grounded Bias Discovery and Mitigation.

Badr-Eddine Marani, Mohamed Hanini, Nihitha Malayarukil, Stergios Christodoulidis, Maria Vakalopoulou, Enzo Ferrante

CoRR, 2024

Uncertainty in latent representations of variational autoencoders optimized for visual tasks.

Josefina Catoni, Enzo Ferrante, Diego H. Milone, Rodrigo Echeveste

CoRR, 2024

Predicting risk of cardiovascular disease using retinal OCT imaging.

Cynthia Maldonado García, Rodrigo Bonazzola, Enzo Ferrante, Thomas H. Julian, Panagiotis I Sergouniotis, Nishant Ravikumar, Alejandro F. Frangi

CoRR, 2024

Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging.

Dovile Juodelyte, Yucheng Lu, Amelia Jiménez-Sánchez, Sabrina Bottazzi, Enzo Ferrante, Veronika Cheplygina

CoRR, 2024

Deep Vessel Segmentation with Joint Multi-Prior Encoding.

Amine Sadikine, Bogdan Badic, Enzo Ferrante, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Fitting Skeletal Models via Graph-Based Learning.

Nicolás Gaggion, Enzo Ferrante, Beatriz Paniagua, Jared Vicory

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

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

Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante

IEEE Trans. Medical Imaging, February, 2023

Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI.

Nicolás Gaggion, Benjamin A. Matheson, Yan Xia, Rodrigo Bonazzola, Nishant Ravikumar, Zeike A. Taylor, Diego H. Milone, Alejandro F. Frangi, Enzo Ferrante

CoRR, 2023

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

Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.

CoRR, 2023

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

Nicolás Gaggion, Candelaria Mosquera, Lucas Mansilla, Martina Aineseder, Diego H. Milone, Enzo Ferrante

CoRR, 2023

Are demographically invariant models and representations in medical imaging fair?

Eike Petersen, Enzo Ferrante, Melanie Ganz, Aasa Feragen

CoRR, 2023

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

Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard D. Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi

CoRR, 2023

Maximum Entropy on Erroneous Predictions: Improving Model Calibration for Medical Image Segmentation.

Agostina J. Larrazabal, César Martínez, Jose Dolz, Enzo Ferrante

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models.

Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Towards Unraveling Calibration Biases in Medical Image Analysis.

María Agustina Ricci Lara, Candelaria Mosquera, Enzo Ferrante, Rodrigo Echeveste

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

Unsupervised Bias Discovery in Medical Image Segmentation.

Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2022

SUD: Supervision by Denoising for Medical Image Segmentation.

Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Bruce Fischl, Juan Eugenio Iglesias

CoRR, 2022

2021

AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design.

Jianning Li, Pedro Pimentel, Angelika Szengel, Moritz Ehlke, Hans Lamecker, Stefan Zachow, Laura Jovani Estacio Cerquin, Christian Doenitz, Heiko Ramm, Haochen Shi, Xiaojun Chen, Franco Matzkin, Virginia F. J. Newcombe, Enzo Ferrante, Yuan Jin, David G. Ellis, Michele R. Aizenberg, Oldrich Kodym, Michal Spanel, Adam Herout, James G. Mainprize, Zachary Fishman, Michael R. Hardisty, Amirhossein Bayat, Suprosanna Shit, Bomin Wang, Zhi Liu, Matthias Eder, Antonio Pepe, Christina Gsaxner, Victor Alves, Ulrike Zefferer, Gord von Campe, Karin Pistracher, Ute Schäfer, Dieter Schmalstieg, Bjoern H. Menze, Ben Glocker, Jan Egger

IEEE Trans. Medical Imaging, 2021

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

Wufeng Xue, Jiahui Li, Zhiqiang Hu, Eric Kerfoot, James R. Clough, Ilkay Öksüz, Hao Xu, Vicente Grau, Fumin Guo, Matthew Ng, Xiang Li, Quanzheng Li, Lihong Liu, Jin Ma, Elias Grinias, Georgios Tziritas, Wenjun Yan, Angélica Atehortúa, Mireille Garreau, Yeonggul Jang, Alejandro Debus, Enzo Ferrante, Guanyu Yang, Tiancong Hua, Shuo Li

IEEE J. Biomed. Health Informatics, 2021

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

Candelaria Mosquera, Luciana Ferrer, Diego H. Milone, Daniel R. Luna, Enzo Ferrante

CoRR, 2021

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

Agostina J. Larrazabal, César Ernesto Martínez, José Dolz, Enzo Ferrante

CoRR, 2021

Orthogonal Ensemble Networks for Biomedical Image Segmentation.

Agostina J. Larrazabal, César Ernesto Martínez, Jose Dolz, Enzo Ferrante

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation.

Nicolás Gaggion, Lucas Mansilla, Diego H. Milone, Enzo Ferrante

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Rodrigo Bonazzola, Nishant Ravikumar, Rahman Attar, Enzo Ferrante, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Domain Generalization via Gradient Surgery.

Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

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

Agostina J. Larrazabal, César Ernesto Martínez, Ben Glocker, Enzo Ferrante

IEEE Trans. Medical Imaging, 2020

Learning deformable registration of medical images with anatomical constraints.

Lucas Mansilla, Diego H. Milone, Enzo Ferrante

Neural Networks, 2020

Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images.

Julian Alberto Palladino, Diego Fernández Slezak, Enzo Ferrante

CoRR, 2020

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

Franco Matzkin, Virginia F. J. Newcombe, Susan Stevenson, Aneesh Khetani, Tom Newman, Richard Digby, Andrew Stevens, Ben Glocker, Enzo Ferrante

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Cranial Implant Design via Virtual Craniectomy with Shape Priors.

Franco Matzkin, Virginia F. J. Newcombe, Ben Glocker, Enzo Ferrante

Proceedings of the Towards the Automatization of Cranial Implant Design in Cranioplasty, 2020

2019

Weakly Supervised Learning of Metric Aggregations for Deformable Image Registration.

Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios

IEEE J. Biomed. Health Informatics, 2019

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

Nicolas Roulet, Diego Fernández Slezak, Enzo Ferrante

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Anatomical Priors for Image Segmentation via Post-processing with Denoising Autoencoders.

Agostina J. Larrazabal, César Ernesto Martínez, Enzo Ferrante

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

Miguel Monteiro, Konstantinos Kamnitsas, Enzo Ferrante, Francois Mathieu, Steven McDonagh, Sam Cook, Susan Stevenson, Tilak Das, Aneesh Khetani, Tom Newman, Fred Zeiler, Richard Digby, Jonathan P. Coles, Daniel Rueckert, David K. Menon, Virginia F. J. Newcombe, Ben Glocker

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

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

Ozan Oktay, Enzo Ferrante, Konstantinos Kamnitsas, Mattias P. Heinrich, Wenjia Bai, Jose Caballero, Stuart A. Cook, Antonio de Marvao, Timothy Dawes, Declan P. O'Regan, Bernhard Kainz, Ben Glocker, Daniel Rueckert

IEEE Trans. Medical Imaging, 2018

Metric learning with spectral graph convolutions on brain connectivity networks.

Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert

NeuroImage, 2018

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

Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert

Medical Image Anal., 2018

Graph-Based Slice-to-Volume Deformable Registration.

Enzo Ferrante, Nikos Paragios

Int. J. Comput. Vis., 2018

Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease.

Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert

CoRR, 2018

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

Enzo Ferrante, Ozan Oktay, Ben Glocker, Diego H. Milone

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Left Ventricle Quantification Through Spatio-Temporal CNNs.

Alejandro Debus, Enzo Ferrante

Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

Deep learning with ultrasound physics for fetal skull segmentation.

Juan J. Cerrolaza, Matthew Sinclair, Yuanwei Li, Alberto Gómez, Enzo Ferrante, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Daniel Rueckert

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Slice-to-volume medical image registration: A survey.

Enzo Ferrante, Nikos Paragios

Medical Image Anal., 2017

Arabidopsis roots segmentation based on morphological operations and CRFs.

José Ignacio Orlando, Hugo Luis Manterola, Enzo Ferrante, Federico Ariel

CoRR, 2017

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

Ozan Oktay, Enzo Ferrante, Konstantinos Kamnitsas, Mattias P. Heinrich, Wenjia Bai, Jose Caballero, Ricardo Guerrero, Stuart A. Cook, Antonio de Marvao, Timothy Dawes, Declan P. O'Regan, Bernhard Kainz, Ben Glocker, Daniel Rueckert

CoRR, 2017

Spectral Graph Convolutions for Population-Based Disease Prediction.

Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero Moreno, Ben Glocker, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

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

Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation.

Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven G. McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Deformable Registration Through Learning of Context-Specific Metric Aggregation.

Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

2016

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

PhD thesis, 2016

(Hyper)-graphical models in biomedical image analysis.

Nikos Paragios, Enzo Ferrante, Ben Glocker, Nikos Komodakis, Sarah Parisot, Evangelia I. Zacharaki

Medical Image Anal., 2016

Prior-Based Coregistration and Cosegmentation.

Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas, Sarah Lippé, Samuel Kadoury, Iasonas Kokkinos, Nikos Paragios

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

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

Roque Porchetto, Franco Stramana, Nikos Paragios, Enzo Ferrante

Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016

DeepMedic for Brain Tumor Segmentation.

Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016

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

Mahsa Shakeri, Stavros Tsogkas, Enzo Ferrante, Sarah Lippé, Samuel Kadoury, Nikos Paragios, Iasonas Kokkinos

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

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

Enzo Ferrante, Vivien Fecamp, Nikos Paragios

Int. J. Comput. Assist. Radiol. Surg., 2015

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

Enzo Ferrante, Vivien Fecamp, Nikos Paragios

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2013

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

Enzo Ferrante, Nikos Paragios

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013