Enzo Ferrante

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 78

Top Venues

CoRR

ISBI

IEEE Trans. Medical Imaging

Medical Image Anal.

University of Paris-Saclay, France (PHD)

Education History

University of Paris-Saclay, France

PHD

Publications

Badr-Eddine Marani, Mohamed Hanini, Nihitha Malayarukil, Stergios Christodoulidis, Maria Vakalopoulou, Enzo Ferrante
ViG-Bias: Visually Grounded Bias Discovery and Mitigation. CoRR (2024)
Josefina Catoni, Enzo Ferrante, Diego H. Milone, Rodrigo Echeveste
Uncertainty in latent representations of variational autoencoders optimized for visual tasks. CoRR (2024)
Dovile Juodelyte, Yucheng Lu, Amelia Jiménez-Sánchez, Sabrina Bottazzi, Enzo Ferrante, Veronika Cheplygina
Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging. CoRR (2024)
Enzo Ferrante, Rodrigo Echeveste
Open Challenges on Fairness of Artificial Intelligence in Medical Imaging Applications. CoRR (2024)
Cynthia Maldonado García, Rodrigo Bonazzola, Enzo Ferrante, Thomas H. Julian, Panagiotis I Sergouniotis, Nishant Ravikumar, Alejandro F. Frangi
Predicting risk of cardiovascular disease using retinal OCT imaging. CoRR (2024)
Lucas Mansilla, Estanislao Claucich, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
Demographically-Informed Prediction Discrepancy Index: Early Warnings of Demographic Biases for Unlabeled Populations. Trans. Mach. Learn. Res. 2024 (2024)
Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard D. Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology. Nat. Mac. Intell. 6 (3) (2024)
Agostina J. Larrazabal, César Martínez, Jose Dolz, Enzo Ferrante
Maximum Entropy on Erroneous Predictions: Improving Model Calibration for Medical Image Segmentation. MICCAI (3) (2023)
Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante
Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models. ISBI (2023)
Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
Unsupervised Bias Discovery in Medical Image Segmentation. CLIP/FAIMI/EPIMI@MICCAI (2023)
María Agustina Ricci Lara, Candelaria Mosquera, Enzo Ferrante, Rodrigo Echeveste
Towards unraveling calibration biases in medical image analysis. CoRR (2023)
Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology. CoRR (2023)
Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante
Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis. IEEE Trans. Medical Imaging 42 (2) (2023)
Nicolás Gaggion, Candelaria Mosquera, Lucas Mansilla, Martina Aineseder, Diego H. Milone, Enzo Ferrante
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images. CoRR (2023)
María Agustina Ricci Lara, Candelaria Mosquera, Enzo Ferrante, Rodrigo Echeveste
Towards Unraveling Calibration Biases in Medical Image Analysis. CLIP/FAIMI/EPIMI@MICCAI (2023)
Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
Unsupervised bias discovery in medical image segmentation. CoRR (2023)
Eike Petersen, Enzo Ferrante, Melanie Ganz, Aasa Feragen
Are demographically invariant models and representations in medical imaging fair? CoRR (2023)
Nicolás Gaggion, Benjamin A. Matheson, Yan Xia, Rodrigo Bonazzola, Nishant Ravikumar, Zeike A. Taylor, Diego H. Milone, Alejandro F. Frangi, Enzo Ferrante
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI. CoRR (2023)
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.
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR (2023)
Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis. CoRR (2022)
Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Bruce Fischl, Juan Eugenio Iglesias
SUD: Supervision by Denoising for Medical Image Segmentation. CoRR (2022)
Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante
Multi-center anatomical segmentation with heterogeneous labels via landmark-based models. CoRR (2022)
Agostina J. Larrazabal, César Martínez, José Dolz, Enzo Ferrante
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation. CoRR (2021)
Agostina J. Larrazabal, César Martínez, Jose Dolz, Enzo Ferrante
Orthogonal Ensemble Networks for Biomedical Image Segmentation. MICCAI (3) (2021)
Rodrigo Bonazzola, Nishant Ravikumar, Rahman Attar, Enzo Ferrante, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images. MICCAI (5) (2021)
Nicolás Gaggion, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
Hybrid graph convolutional neural networks for landmark-based anatomical segmentation. CoRR (2021)
Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
Domain Generalization via Gradient Surgery. ICCV (2021)
Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
Domain Generalization via Gradient Surgery. CoRR (2021)
Candelaria Mosquera, Luciana Ferrer, Diego H. Milone, Daniel R. Luna, Enzo Ferrante
Understanding the impact of class imbalance on the performance of chest x-ray image classifiers. CoRR (2021)
Nicolás Gaggion, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation. MICCAI (1) (2021)
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
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data. IEEE J. Biomed. Health Informatics 25 (9) (2021)
Agostina J. Larrazabal, César Martínez, Jose Dolz, Enzo Ferrante
Orthogonal Ensemble Networks for Biomedical Image Segmentation. CoRR (2021)
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
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. IEEE Trans. Medical Imaging 40 (9) (2021)
Lucas Mansilla, Diego H. Milone, Enzo Ferrante
Learning deformable registration of medical images with anatomical constraints. Neural Networks 124 (2020)
Agostina J. Larrazabal, César Martínez, Ben Glocker, Enzo Ferrante
Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising Autoencoders. IEEE Trans. Medical Imaging 39 (12) (2020)
Franco Matzkin, Virginia F. J. Newcombe, Ben Glocker, Enzo Ferrante
Cranial Implant Design via Virtual Craniectomy with Shape Priors. AutoImplant@MICCAI (2020)
Franco Matzkin, Virginia F. J. Newcombe, Susan Stevenson, Aneesh Khetani, Tom Newman, Richard Digby, Andrew Stevens, Ben Glocker, Enzo Ferrante
Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy. CoRR (2020)
Franco Matzkin, Virginia F. J. Newcombe, Susan Stevenson, Aneesh Khetani, Tom Newman, Richard Digby, Andrew Stevens, Ben Glocker, Enzo Ferrante
Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy. MICCAI (2) (2020)
Julian Alberto Palladino, Diego Fernández Slezak, Enzo Ferrante
Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images. CoRR (2020)
Agostina J. Larrazabal, César Martínez, Ben Glocker, Enzo Ferrante
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders. CoRR (2020)
Lucas Mansilla, Diego H. Milone, Enzo Ferrante
Learning Deformable Registration of Medical Images with Anatomical Constraints. CoRR (2020)
Franco Matzkin, Virginia F. J. Newcombe, Ben Glocker, Enzo Ferrante
Cranial Implant Design via Virtual Craniectomy with Shape Priors. CoRR (2020)
Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
Weakly Supervised Learning of Metric Aggregations for Deformable Image Registration. IEEE J. Biomed. Health Informatics 23 (4) (2019)
Nicolas Roulet, Diego Fernández Slezak, Enzo Ferrante
Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets. CoRR (2019)
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
TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation. BrainLes@MICCAI (1) (2019)
Nicolas Roulet, Diego Fernández Slezak, Enzo Ferrante
Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets. MIDL (2019)
Agostina J. Larrazabal, César Martínez, Enzo Ferrante
Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders. CoRR (2019)
Agostina J. Larrazabal, César Martínez, Enzo Ferrante
Anatomical Priors for Image Segmentation via Post-processing with Denoising Autoencoders. MICCAI (6) (2019)
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease. Medical Image Anal. 48 (2018)
Alejandro Debus, Enzo Ferrante
Left Ventricle Quantification Through Spatio-Temporal CNNs. STACOM@MICCAI (2018)
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert
Metric learning with spectral graph convolutions on brain connectivity networks. NeuroImage 169 (2018)
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
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation. IEEE Trans. Medical Imaging 37 (2) (2018)
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease. CoRR (2018)
Enzo Ferrante, Ozan Oktay, Ben Glocker, Diego H. Milone
On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains. MLMI@MICCAI (2018)
Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration. CoRR (2018)
Alejandro Debus, Enzo Ferrante
Left ventricle quantification through spatio-temporal CNNs. CoRR (2018)
Enzo Ferrante, Nikos Paragios
Graph-Based Slice-to-Volume Deformable Registration. Int. J. Comput. Vis. 126 (1) (2018)
Juan J. Cerrolaza, Matthew Sinclair, Yuanwei Li, Alberto Gómez, Enzo Ferrante, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Daniel Rueckert
Deep learning with ultrasound physics for fetal skull segmentation. ISBI (2018)
Enzo Ferrante, Nikos Paragios
Slice-to-volume medical image registration: a survey. CoRR (2017)
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
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. CoRR (2017)
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert
Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks. MICCAI (1) (2017)
Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
Deformable Registration through Learning of Context-Specific Metric Aggregation. CoRR (2017)
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero Moreno, Ben Glocker, Daniel Rueckert
Spectral Graph Convolutions for Population-Based Disease Prediction. MICCAI (3) (2017)
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks. CoRR (2017)
Enzo Ferrante, Nikos Paragios
Slice-to-volume medical image registration: A survey. Medical Image Anal. 39 (2017)
Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
Deformable Registration Through Learning of Context-Specific Metric Aggregation. MLMI@MICCAI (2017)
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
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation. CoRR (2017)
José Ignacio Orlando, Hugo Luis Manterola, Enzo Ferrante, Federico Ariel
Arabidopsis roots segmentation based on morphological operations and CRFs. CoRR (2017)
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero Moreno, Ben Glocker, Daniel Rueckert
Spectral Graph Convolutions for Population-based Disease Prediction. CoRR (2017)
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
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. BrainLes@MICCAI (2017)
Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
DeepMedic for Brain Tumor Segmentation. BrainLes@MICCAI (2016)
Roque Porchetto, Franco Stramana, Nikos Paragios, Enzo Ferrante
Rigid Slice-To-Volume Medical Image Registration Through Markov Random Fields. MCV/BAMBI@MICCAI (2016)
Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas, Sarah Lippé, Samuel Kadoury, Iasonas Kokkinos, Nikos Paragios
Prior-based Coregistration and Cosegmentation. CoRR (2016)
Mahsa Shakeri, Stavros Tsogkas, Enzo Ferrante, Sarah Lippé, Samuel Kadoury, Nikos Paragios, Iasonas Kokkinos
Sub-cortical brain structure segmentation using F-CNN'S. ISBI (2016)
Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas, Sarah Lippé, Samuel Kadoury, Iasonas Kokkinos, Nikos Paragios
Prior-Based Coregistration and Cosegmentation. MICCAI (2) (2016)
Mahsa Shakeri, Stavros Tsogkas, Enzo Ferrante, Sarah Lippé, Samuel Kadoury, Nikos Paragios, Iasonas Kokkinos
Sub-cortical brain structure segmentation using F-CNN's. CoRR (2016)
Nikos Paragios, Enzo Ferrante, Ben Glocker, Nikos Komodakis, Sarah Parisot, Evangelia I. Zacharaki
(Hyper)-graphical models in biomedical image analysis. Medical Image Anal. 33 (2016)
Roque Porchetto, Franco Stramana, Nikos Paragios, Enzo Ferrante
Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields. CoRR (2016)
Enzo Ferrante, Vivien Fecamp, Nikos Paragios
Slice-to-volume deformable registration: efficient one-shot consensus between plane selection and in-plane deformation. Int. J. Comput. Assist. Radiol. Surg. 10 (6) (2015)
Enzo Ferrante, Vivien Fecamp, Nikos Paragios
Implicit planar and in-plane deformable mapping in medical images through high order graphs. ISBI (2015)
Enzo Ferrante, Nikos Paragios
Non-rigid 2D-3D Medical Image Registration Using Markov Random Fields. MICCAI (3) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Enzo Ferrante