Enzo Ferrante

125 papers A* 1Journal 80Unranked 35
YearRankTypeTitle / Venue / Authors
2026 — ed.
Fairness of AI in Medical Imaging - Third International Workshop, FAIMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
FAIMI@MICCAI
Esther Puyol-Antón, Enzo Ferrante, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Ben Glocker, Eike Petersen, Heisook Lee
2026 J jnl
Implicit Bias in LLMs for Transgender Populations.
CoRR
Micaela Hirsch, Marina Elichiry, Blas Radi, Tamara Quiroga, David S. Restrepo, Luciana Benotti, Verónica Xhardez, Jocelyn Dunstan, Enzo Ferrante
2026 J jnl
Inference-Time Toxicity Mitigation in Protein Language Models.
CoRR
Manuel Fernández Burda, Santiago Aranguri, Iván Arcuschin Moreno, Enzo Ferrante
2026 J jnl
Mask-HybridGNet: Graph-based segmentation with emergent anatomical correspondence from pixel-level supervision.
CoRR
Nicolás Gaggion, María-Jesus Ledesma-Carbayo, Stergios Christodoulidis, Maria Vakalopoulou, Enzo Ferrante
2026 J jnl
On the Cone Effect and Modality Gap in Medical Vision-Language Embeddings.
CoRR
David S. Restrepo, Miguel L. Martins, Chenwei Wu, Luis Filipe Nakayama, Diego M. Lopez, Stergios Christodoulidis, Maria Vakalopoulou, Enzo Ferrante
2025 J jnl
BM-CL: Bias Mitigation through the lens of Continual Learning.
CoRR
Lucas Mansilla, Rodrigo Echeveste, Camila González, Diego H. Milone, Enzo Ferrante
2025 J jnl
CheXmask-U: Quantifying uncertainty in landmark-based anatomical segmentation for X-ray images.
CoRR
Matias Cosarinsky, Nicolás Gaggion, Rodrigo Echeveste, Enzo Ferrante
2025 J jnl
ChronoRoot 2.0: An Open AI-Powered Platform for 2D Temporal Plant Phenotyping.
CoRR
Nicolás Gaggion, Rodrigo Bonazzola, María Florencia Legascue, María Florencia Mammarella, Florencia Sol Rodriguez, Federico Emanuel Aballay, Florencia Belén Catulo, Andana Barrios, Franco Accavallo, Santiago Nahuel Villarreal, Martin Crespi, Martiniano María Ricardi, Ezequiel Petrillo, Thomas Blein, Federico Ariel, Enzo Ferrante
2025 — ed.
Ethics and Fairness in Medical Imaging - Second International Workshop on Fairness of AI in Medical Imaging, FAIMI 2024, and Third International Workshop on Ethical and Philosophical Issues in Medical Imaging, EPIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings
FAIMI/EPIMI@MICCAI
Esther Puyol-Antón, Ghada Zamzmi, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Eike Petersen, John S. H. Baxter, Islem Rekik, Roy Eagleson
2025 — conf
Fairness and Robustness of CLIP-Based Models for Chest X-Rays.
FAIMI@MICCAI
Théo Sourget, David S. Restrepo, Céline Hudelot, Enzo Ferrante, Stergios Christodoulidis, Maria Vakalopoulou
2025 J jnl
Fairness and Robustness of CLIP-Based Models for Chest X-rays.
CoRR
Théo Sourget, David S. Restrepo, Céline Hudelot, Enzo Ferrante, Stergios Christodoulidis, Maria Vakalopoulou
2025 — conf
Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation.
FAccT
Estanislao Claucich, Sara Hooker, Diego H. Milone, Enzo Ferrante, Rodrigo Echeveste
2025 J jnl
Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation.
CoRR
Estanislao Claucich, Sara Hooker, Diego H. Milone, Enzo Ferrante, Rodrigo Echeveste
2025 — conf
Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation.
ACL (1)
Shivalika Singh, Angelika Romanou, Clémentine Fourrier, David Ifeoluwa Adelani, Jian Gang Ngui, Daniel Vila-Suero, Peerat Limkonchotiwat, Kelly Marchisio, Wei Qi Leong, Yosephine Susanto, Raymond Ng, Shayne Longpre, Sebastian Ruder, Wei-Yin Ko, Antoine Bosselut, Alice Oh, André F. T. Martins, Leshem Choshen, Daphne Ippolito, Enzo Ferrante, Marzieh Fadaee, Beyza Ermis, Sara Hooker
2025 — conf
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review.
FAccT
Amelia Jiménez-Sánchez, Natalia Rozalia Avlona, Sarah de Boer, Víctor M. Campello, Aasa Feragen, Enzo Ferrante, Melanie Ganz, Judy Wawira Gichoya, Camila González, Steff Groefsema, Alessa Hering, Adam Hulman, Leo Joskowicz, Dovile Juodelyte, Melih Kandemir, Thijs Kooi, Jorge del Pozo Lérida, Livie Yumeng Li, André G. C. Pacheco, Tim Rädsch, Mauricio Reyes, Théo Sourget, Bram van Ginneken, David Wen, Nina Weng, Jack Junchi Xu, Hubert Dariusz Zajac, Maria A. Zuluaga, Veronika Cheplygina
2025 J jnl
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review.
CoRR
Amelia Jiménez-Sánchez, Natalia Rozalia Avlona, Sarah de Boer, Víctor M. Campello, Aasa Feragen, Enzo Ferrante, Melanie Ganz, Judy Wawira Gichoya, Camila González, Steff Groefsema, Alessa Hering, Adam Hulman, Leo Joskowicz, Dovile Juodelyte, Melih Kandemir, Thijs Kooi, Jorge del Pozo Lérida, Livie Yumeng Li, André G. C. Pacheco, Tim Rädsch, Mauricio Reyes, Théo Sourget, Bram van Ginneken, David Wen, Nina Weng, Jack Junchi Xu, Hubert Dariusz Zajac, Maria A. Zuluaga, Veronika Cheplygina
2025 J jnl
In-Context Reverse Classification Accuracy: Efficient Estimation of Segmentation Quality without Ground-Truth.
CoRR
Matias Cosarinsky, Ramiro Billot, Lucas Mansilla, Gabriel Gimenez, Nicolás Gaggion, Guanghui Fu, Enzo Ferrante
2025 J jnl
Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation.
CoRR
Israfel Salazar, Manuel Fernández Burda, Shayekh Bin Islam, Arshia Soltani Moakhar, Shivalika Singh, Fabian Farestam, Angelika Romanou, Danylo Boiko, Dipika Khullar, Mike Zhang, Dominik Krzeminski, Jekaterina Novikova, Luísa Shimabucoro, Joseph Marvin Imperial, Rishabh Maheshwary, Sharad Duwal, Alfonso Amayuelas, Swati Rajwal, Jebish Purbey, Ahmed Ruby, Nicholas Popovic, Marek Suppa, Azmine Toushik Wasi, Ram Mohan Rao Kadiyala, Olga Tsymboi, Maksim Kostritsya, Bardia Soltani Moakhar, Gabriel da Costa Merlin, Otávio Ferracioli Coletti, Maral Jabbarishiviari, MohammadAmin farahani fard, Silvia Fernandez, María Grandury, Dmitry Abulkhanov, Drishti Sharma, André Guarnier de Mitri, Leticia Bossatto Marchezi, Setayesh Heydari, Johan S. Obando-Ceron, Nazar Kohut, Beyza Ermis, Desmond Elliott, Enzo Ferrante, Sara Hooker, Marzieh Fadaee
2025 J jnl
Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRI.
Medical Image Anal.
Nicolás Gaggion, Benjamin A. Matheson, Yan Xia, Rodrigo Bonazzola, Nishant Ravikumar, Zeike A. Taylor, Diego H. Milone, Alejandro F. Frangi, Enzo Ferrante
2025 — conf
On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI.
Agentic AI/CREATE/Clinical MLLMs@MICCAI
David S. Restrepo, Sofia Ira Ktena, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Ferrante
2025 J jnl
On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI.
CoRR
David S. Restrepo, Sofia Ira Ktena, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Ferrante
2025 J jnl
PVeRA: Probabilistic Vector-Based Random Matrix Adaptation.
CoRR
Leo Fillioux, Enzo Ferrante, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis
2025 J jnl
Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg.
CoRR
Jingchen Zou, Jianqiang Li, Gabriel Jimenez, Qing Zhao, Daniel Racoceanu, Matias Cosarinsky, Enzo Ferrante, Guanghui Fu
2025 J jnl
Predicting cardiovascular disease risk using retinal optical coherence tomography imaging.
Frontiers Artif. Intell.
Cynthia Maldonado García, Rodrigo Bonazzola, Enzo Ferrante, Thomas H. Julian, Panagiotis I. Sergouniotis, Nishant Ravikumar, Alejandro F. Frangi
2025 J jnl
Supervision by Denoising.
IEEE Trans. Pattern Anal. Mach. Intell.
Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Christopher A. Metzler, Bruce Fischl, Juan Eugenio Iglesias
2025 J jnl
Towards Reliable WMH Segmentation under Domain Shift: An Application Study using Maximum Entropy Regularization to Improve Uncertainty Estimation.
CoRR
Franco Matzkin, Agostina J. Larrazabal, Diego H. Milone, Jose Dolz, Enzo Ferrante
2025 J jnl
Towards reliable WMH segmentation under domain shift: An application study using maximum entropy regularization to improve uncertainty estimation.
Comput. Biol. Medicine
Franco Matzkin, Agostina J. Larrazabal, Diego H. Milone, Jose Dolz, Enzo Ferrante
2024 — conf
Deep Vessel Segmentation with Joint Multi-Prior Encoding.
ISBI
Amine Sadikine, Bogdan Badic, Enzo Ferrante, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze
2024 J jnl
Deep vessel segmentation with joint multi-prior encoding.
CoRR
Amine Sadikine, Bogdan Badic, Enzo Ferrante, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze
2024 J jnl
Demographically-Informed Prediction Discrepancy Index: Early Warnings of Demographic Biases for Unlabeled Populations.
Trans. Mach. Learn. Res.
Lucas Mansilla, Estanislao Claucich, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
2024 — ed.
Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings
DART@MICCAI
Lisa M. Koch, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris, Dong Yang
2024 — conf
Fitting Skeletal Models via Graph-Based Learning.
ISBI
Nicolás Gaggion, Enzo Ferrante, Beatriz Paniagua, Jared Vicory
2024 J jnl
Fitting Skeletal Models via Graph-based Learning.
CoRR
Nicolás Gaggion, Enzo Ferrante, Beatriz Paniagua, Jared Vicory
2024 J jnl
Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation.
CoRR
Shivalika Singh, Angelika Romanou, Clémentine Fourrier, David Ifeoluwa Adelani, Jian Gang Ngui, Daniel Vila-Suero, Peerat Limkonchotiwat, Kelly Marchisio, Wei Qi Leong, Yosephine Susanto, Raymond Ng, Shayne Longpre, Wei-Yin Ko, Madeline Smith, Antoine Bosselut, Alice Oh, André F. T. Martins, Leshem Choshen, Daphne Ippolito, Enzo Ferrante, Marzieh Fadaee, Beyza Ermis, Sara Hooker
2024 — conf
Improving Endoscopy Lesion Classification Using Self-Supervised Deep Learning.
EMBC
Inês Lopes, Maria Vakalopoulou, Enzo Ferrante, Diogo Libânio, Mário Dinis-Ribeiro, Miguel Tavares Coimbra, Francesco Renna
2024 J jnl
On dataset transferability in medical image classification.
CoRR
Dovile Juodelyte, Enzo Ferrante, Yucheng Lu, Prabhant Singh, Joaquin Vanschoren, Veronika Cheplygina
2024 J jnl
Open Challenges on Fairness of Artificial Intelligence in Medical Imaging Applications.
CoRR
Enzo Ferrante, Rodrigo Echeveste
2024 J jnl
Predicting risk of cardiovascular disease using retinal OCT imaging.
CoRR
Cynthia Maldonado García, Rodrigo Bonazzola, Enzo Ferrante, Thomas H. Julian, Panagiotis I. Sergouniotis, Nishant Ravikumar, Alejandro F. Frangi
2024 J jnl
SignAttention: On the Interpretability of Transformer Models for Sign Language Translation.
CoRR
Pedro Alejandro Dal Bianco, Oscar Agustín Stanchi, Facundo Manuel Quiroga, Franco Ronchetti, Enzo Ferrante
2024 — conf
Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging.
AMAI@MICCAI
Dovile Juodelyte, Yucheng Lu, Amelia Jiménez-Sánchez, Sabrina Bottazzi, Enzo Ferrante, Veronika Cheplygina
2024 J jnl
Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging.
CoRR
Dovile Juodelyte, Yucheng Lu, Amelia Jiménez-Sánchez, Sabrina Bottazzi, Enzo Ferrante, Veronika Cheplygina
2024 J jnl
Uncertainty in latent representations of variational autoencoders optimized for visual tasks.
CoRR
Josefina Catoni, Enzo Ferrante, Diego H. Milone, Rodrigo Echeveste
2024 J jnl
Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology.
Nat. Mac. Intell.
Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard D. Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
2024 — conf
ViG-Bias: Visually Grounded Bias Discovery and Mitigation.
ECCV (59)
Badr-Eddine Marani, Mohamed Hanini, Nihitha Malayarukil, Stergios Christodoulidis, Maria Vakalopoulou, Enzo Ferrante
2024 J jnl
ViG-Bias: Visually Grounded Bias Discovery and Mitigation.
CoRR
Badr-Eddine Marani, Mohamed Hanini, Nihitha Malayarukil, Stergios Christodoulidis, Maria Vakalopoulou, Enzo Ferrante
2023 J jnl
Are demographically invariant models and representations in medical imaging fair?
CoRR
Eike Petersen, Enzo Ferrante, Melanie Ganz, Aasa Feragen
2023 J jnl
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images.
CoRR
Nicolás Gaggion, Candelaria Mosquera, Lucas Mansilla, Martina Aineseder, Diego H. Milone, Enzo Ferrante
2023 — ed.
Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings
CLIP/FAIMI/EPIMI@MICCAI
Stefan Wesarg, Esther Puyol-Antón, John S. H. Baxter, Marius Erdt, Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Islem Rekik, Roy Eagleson, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Daniel Moyer, Eike Petersen
2023 J jnl
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
CoRR
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.
2023 J jnl
Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis.
IEEE Trans. Medical Imaging
Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante
2023 — conf
Maximum Entropy on Erroneous Predictions: Improving Model Calibration for Medical Image Segmentation.
MICCAI (3)
Agostina J. Larrazabal, César Martínez, Jose Dolz, Enzo Ferrante
2023 — conf
Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models.
ISBI
Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante
2023 J jnl
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI.
CoRR
Nicolás Gaggion, Benjamin A. Matheson, Yan Xia, Rodrigo Bonazzola, Nishant Ravikumar, Zeike A. Taylor, Diego H. Milone, Alejandro F. Frangi, Enzo Ferrante
2023 — conf
Towards Unraveling Calibration Biases in Medical Image Analysis.
CLIP/FAIMI/EPIMI@MICCAI
María Agustina Ricci Lara, Candelaria Mosquera, Enzo Ferrante, Rodrigo Echeveste
2023 J jnl
Towards unraveling calibration biases in medical image analysis.
CoRR
María Agustina Ricci Lara, Candelaria Mosquera, Enzo Ferrante, Rodrigo Echeveste
2023 — conf
Unsupervised Bias Discovery in Medical Image Segmentation.
CLIP/FAIMI/EPIMI@MICCAI
Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2023 J jnl
Unsupervised bias discovery in medical image segmentation.
CoRR
Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2023 J jnl
Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology.
CoRR
Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard D. Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
2022 — ed.
Biomedical Image Registration - 10th International Workshop, WBIR 2022, Munich, Germany, July 10-12, 2022, Proceedings
WBIR
Alessa Hering, Julia A. Schnabel, Miaomiao Zhang, Enzo Ferrante, Mattias P. Heinrich, Daniel Rueckert
2022 J jnl
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis.
CoRR
Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante
2022 J jnl
Multi-center anatomical segmentation with heterogeneous labels via landmark-based models.
CoRR
Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante
2022 J jnl
SUD: Supervision by Denoising for Medical Image Segmentation.
CoRR
Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Bruce Fischl, Juan Eugenio Iglesias
2021 J jnl
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design.
IEEE Trans. Medical Imaging
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
2021 A* conf
Domain Generalization via Gradient Surgery.
ICCV
Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
2021 J jnl
Domain Generalization via Gradient Surgery.
CoRR
Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
2021 — conf
Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation.
MICCAI (1)
Nicolás Gaggion, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2021 J jnl
Hybrid graph convolutional neural networks for landmark-based anatomical segmentation.
CoRR
Nicolás Gaggion, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2021 — conf
Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images.
MICCAI (5)
Rodrigo Bonazzola, Nishant Ravikumar, Rahman Attar, Enzo Ferrante, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
2021 J jnl
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
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
2021 J jnl
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation.
CoRR
Agostina J. Larrazabal, César Ernesto Martínez, José Dolz, Enzo Ferrante
2021 — conf
Orthogonal Ensemble Networks for Biomedical Image Segmentation.
MICCAI (3)
Agostina J. Larrazabal, César Ernesto Martínez, Jose Dolz, Enzo Ferrante
2021 J jnl
Orthogonal Ensemble Networks for Biomedical Image Segmentation.
CoRR
Agostina J. Larrazabal, César Ernesto Martínez, Jose Dolz, Enzo Ferrante
2021 J jnl
Understanding the impact of class imbalance on the performance of chest x-ray image classifiers.
CoRR
Candelaria Mosquera, Luciana Ferrer, Diego H. Milone, Daniel R. Luna, Enzo Ferrante
2020 — conf
Cranial Implant Design via Virtual Craniectomy with Shape Priors.
AutoImplant@MICCAI
Franco Matzkin, Virginia F. J. Newcombe, Ben Glocker, Enzo Ferrante
2020 J jnl
Cranial Implant Design via Virtual Craniectomy with Shape Priors.
CoRR
Franco Matzkin, Virginia F. J. Newcombe, Ben Glocker, Enzo Ferrante
2020 J jnl
Learning Deformable Registration of Medical Images with Anatomical Constraints.
CoRR
Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2020 J jnl
Learning deformable registration of medical images with anatomical constraints.
Neural Networks
Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2020 J jnl
Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising Autoencoders.
IEEE Trans. Medical Imaging
Agostina J. Larrazabal, César Ernesto Martínez, Ben Glocker, Enzo Ferrante
2020 J jnl
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders.
CoRR
Agostina J. Larrazabal, César Ernesto Martínez, Ben Glocker, Enzo Ferrante
2020 — conf
Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy.
MICCAI (2)
Franco Matzkin, Virginia F. J. Newcombe, Susan Stevenson, Aneesh Khetani, Tom Newman, Richard Digby, Andrew Stevens, Ben Glocker, Enzo Ferrante
2020 J jnl
Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy.
CoRR
Franco Matzkin, Virginia F. J. Newcombe, Susan Stevenson, Aneesh Khetani, Tom Newman, Richard Digby, Andrew Stevens, Ben Glocker, Enzo Ferrante
2020 — ed.
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
UNSURE/GRAIL@MICCAI
Carole H. Sudre, Hamid Fehri, Tal Arbel, Christian F. Baumgartner, Adrian V. Dalca, Ryutaro Tanno, Koen Van Leemput, William M. Wells III, Aristeidis Sotiras, Bartlomiej W. Papiez, Enzo Ferrante, Sarah Parisot
2020 J jnl
Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images.
CoRR
Julian Alberto Palladino, Diego Fernández Slezak, Enzo Ferrante
2019 J jnl
Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders.
CoRR
Agostina J. Larrazabal, César Ernesto Martínez, Enzo Ferrante
2019 — conf
Anatomical Priors for Image Segmentation via Post-processing with Denoising Autoencoders.
MICCAI (6)
Agostina J. Larrazabal, César Ernesto Martínez, Enzo Ferrante
2019 — conf
Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets.
MIDL
Nicolas Roulet, Diego Fernández Slezak, Enzo Ferrante
2019 J jnl
Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets.
CoRR
Nicolas Roulet, Diego Fernández Slezak, Enzo Ferrante
2019 — conf
TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation.
BrainLes@MICCAI (1)
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
2019 J jnl
Weakly Supervised Learning of Metric Aggregations for Deformable Image Registration.
IEEE J. Biomed. Health Informatics
Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
2018 J jnl
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation.
IEEE Trans. Medical Imaging
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
2018 — conf
Deep learning with ultrasound physics for fetal skull segmentation.
ISBI
Juan J. Cerrolaza, Matthew Sinclair, Yuanwei Li, Alberto Gómez, Enzo Ferrante, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Daniel Rueckert
2018 J jnl
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease.
CoRR
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert
2018 J jnl
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease.
Medical Image Anal.
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert
2018 J jnl
Graph-Based Slice-to-Volume Deformable Registration.
Int. J. Comput. Vis.
Enzo Ferrante, Nikos Paragios
2018 — ed.
Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities - Second International Workshop, GRAIL 2018 - and - First International Workshop, Beyond MIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings
GRAIL/Beyond-MIC@MICCAI
Danail Stoyanov, Zeike Taylor, Enzo Ferrante, Adrian V. Dalca, Anne L. Martel, Lena Maier-Hein, Sarah Parisot, Aristeidis Sotiras, Bartlomiej W. Papiez, Mert R. Sabuncu, Li Shen
2018 — conf
Left Ventricle Quantification Through Spatio-Temporal CNNs.
STACOM@MICCAI
Alejandro Debus, Enzo Ferrante
2018 J jnl
Left ventricle quantification through spatio-temporal CNNs.
CoRR
Alejandro Debus, Enzo Ferrante
2018 J jnl
Metric learning with spectral graph convolutions on brain connectivity networks.
NeuroImage
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert
2018 — conf
On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains.
MLMI@MICCAI
Enzo Ferrante, Ozan Oktay, Ben Glocker, Diego H. Milone
2018 J jnl
Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration.
CoRR
Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
2017 J jnl
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation.
CoRR
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
2017 J jnl
Arabidopsis roots segmentation based on morphological operations and CRFs.
CoRR
José Ignacio Orlando, Hugo Luis Manterola, Enzo Ferrante, Federico Ariel
2017 — conf
Deformable Registration Through Learning of Context-Specific Metric Aggregation.
MLMI@MICCAI
Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
2017 J jnl
Deformable Registration through Learning of Context-Specific Metric Aggregation.
CoRR
Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
2017 — conf
Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks.
MICCAI (1)
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert
2017 J jnl
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks.
CoRR
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert
2017 — conf
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation.
BrainLes@MICCAI
Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker
2017 J jnl
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation.
CoRR
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
2017 — ed.
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings
GRAIL/MFCA/MICGen@MICCAI
M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang C. Joshi, Nematollah Kayhan Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer
2017 J jnl
Slice-to-volume medical image registration: A survey.
Medical Image Anal.
Enzo Ferrante, Nikos Paragios
2017 J jnl
Slice-to-volume medical image registration: a survey.
CoRR
Enzo Ferrante, Nikos Paragios
2017 — conf
Spectral Graph Convolutions for Population-Based Disease Prediction.
MICCAI (3)
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero Moreno, Ben Glocker, Daniel Rueckert
2017 J jnl
Spectral Graph Convolutions for Population-based Disease Prediction.
CoRR
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero Moreno, Ben Glocker, Daniel Rueckert
2016 J jnl
(Hyper)-graphical models in biomedical image analysis.
Medical Image Anal.
Nikos Paragios, Enzo Ferrante, Ben Glocker, Nikos Komodakis, Sarah Parisot, Evangelia I. Zacharaki
2016 — conf
DeepMedic for Brain Tumor Segmentation.
BrainLes@MICCAI
Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
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
2016 — conf
Prior-Based Coregistration and Cosegmentation.
MICCAI (2)
Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas, Sarah Lippé, Samuel Kadoury, Iasonas Kokkinos, Nikos Paragios
2016 J jnl
Prior-based Coregistration and Cosegmentation.
CoRR
Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas, Sarah Lippé, Samuel Kadoury, Iasonas Kokkinos, Nikos Paragios
2016 — conf
Rigid Slice-To-Volume Medical Image Registration Through Markov Random Fields.
MCV/BAMBI@MICCAI
Roque Porchetto, Franco Stramana, Nikos Paragios, Enzo Ferrante
2016 J jnl
Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields.
CoRR
Roque Porchetto, Franco Stramana, Nikos Paragios, Enzo Ferrante
2016 — conf
Sub-cortical brain structure segmentation using F-CNN'S.
ISBI
Mahsa Shakeri, Stavros Tsogkas, Enzo Ferrante, Sarah Lippé, Samuel Kadoury, Nikos Paragios, Iasonas Kokkinos
2016 J jnl
Sub-cortical brain structure segmentation using F-CNN's.
CoRR
Mahsa Shakeri, Stavros Tsogkas, Enzo Ferrante, Sarah Lippé, Samuel Kadoury, Nikos Paragios, Iasonas Kokkinos
2015 — conf
Implicit planar and in-plane deformable mapping in medical images through high order graphs.
ISBI
Enzo Ferrante, Vivien Fecamp, Nikos Paragios
2015 J jnl
Slice-to-volume deformable registration: efficient one-shot consensus between plane selection and in-plane deformation.
Int. J. Comput. Assist. Radiol. Surg.
Enzo Ferrante, Vivien Fecamp, Nikos Paragios
2013 — conf
Non-rigid 2D-3D Medical Image Registration Using Markov Random Fields.
MICCAI (3)
Enzo Ferrante, Nikos Paragios