Non-rigid 2D-3D Medical Image Registration Using Markov Random Fields. - Enzo Ferrante; Nikos Paragios (MICCAI (3), 2013)

Implicit planar and in-plane deformable mapping in medical images through high order graphs. - Enzo Ferrante; Vivien Fecamp; Nikos Paragios (ISBI, 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)

Sub-cortical brain structure segmentation using F-CNN'S. - Mahsa Shakeri; Stavros Tsogkas; Enzo Ferrante; Sarah Lippé; Samuel Kadoury; Nikos Paragios; Iasonas Kokkinos (ISBI, 2016)

DeepMedic for Brain Tumor Segmentation. - Konstantinos Kamnitsas; Enzo Ferrante; Sarah Parisot; Christian Ledig; Aditya V. Nori; Antonio Criminisi; Daniel Rueckert; Ben Glocker (BrainLes@MICCAI, 2016)

Rigid Slice-To-Volume Medical Image Registration Through Markov Random Fields. - Roque Porchetto; Franco Stramana; Nikos Paragios; Enzo Ferrante (MCV/BAMBI@MICCAI, 2016)

Prior-Based Coregistration and Cosegmentation. - Mahsa Shakeri; Enzo Ferrante; Stavros Tsogkas; Sarah Lippé; Samuel Kadoury; Iasonas Kokkinos; Nikos Paragios (MICCAI (2), 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)

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)

Deformable Registration Through Learning of Context-Specific Metric Aggregation. - Enzo Ferrante; Puneet Kumar Dokania; Rafael Marini; Nikos Paragios (MLMI@MICCAI, 2017)

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. - Konstantinos Kamnitsas; Wenjia Bai; Enzo Ferrante; Steven McDonagh 001; Matthew Sinclair; Nick Pawlowski; Martin Rajchl; Matthew C. H. Lee; Bernhard Kainz; Daniel Rueckert; Ben Glocker (BrainLes@MICCAI, 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 (MICCAI (1), 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 (MICCAI (3), 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; et al. (CoRR, 2017)

Arabidopsis roots segmentation based on morphological operations and CRFs. - José Ignacio Orlando; Hugo Luis Manterola; Enzo Ferrante; Federico Ariel (CoRR, 2017)

Slice-to-volume medical image registration: A survey. - Enzo Ferrante; Nikos Paragios (Medical Image Anal., 2017)

Deep learning with ultrasound physics for fetal skull segmentation. - Juan J. Cerrolaza; Matthew Sinclair; Yuanwei Li; Alberto Gómez 002; Enzo Ferrante; Jacqueline Matthew; Chandni Gupta; Caroline L. Knight; Daniel Rueckert (ISBI, 2018)

Left Ventricle Quantification Through Spatio-Temporal CNNs. - Alejandro Debus; Enzo Ferrante (STACOM@MICCAI, 2018)

On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains. - Enzo Ferrante; Ozan Oktay; Ben Glocker; Diego H. Milone (MLMI@MICCAI, 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 010; Ricardo Guerrero; Ben Glocker; Daniel Rueckert (CoRR, 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 C. H. Lee; Ricardo Guerrero; Ben Glocker; Daniel Rueckert (Medical Image Anal., 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)

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; et al. (IEEE Trans. Medical Imaging, 2018)

TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation. - Miguel Monteiro; Konstantinos Kamnitsas; Enzo Ferrante; Francois Mathieu; Steven McDonagh 001; Sam Cook; Susan Stevenson; Tilak Das; Aneesh Khetani; Tom Newman; Fred Zeiler; Richard Digby; et al. (BrainLes@MICCAI (1), 2019)

Anatomical Priors for Image Segmentation via Post-processing with Denoising Autoencoders. - Agostina J. Larrazabal; César Ernesto Martínez; Enzo Ferrante (MICCAI (6), 2019)

Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets. - Nicolas Roulet; Diego Fernández Slezak; Enzo Ferrante (MIDL, 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)

Cranial Implant Design via Virtual Craniectomy with Shape Priors. - Franco Matzkin; Virginia F. J. Newcombe; Ben Glocker; Enzo Ferrante (AutoImplant@MICCAI, 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 (MICCAI (2), 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)

Learning deformable registration of medical images with anatomical constraints. - Lucas Mansilla; Diego H. Milone; Enzo Ferrante (Neural Networks, 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)

Domain Generalization via Gradient Surgery. - Lucas Mansilla; Rodrigo Echeveste; Diego H. Milone; Enzo Ferrante (ICCV, 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 (MICCAI (5), 2021)

Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation. - Nicolás Gaggion; Lucas Mansilla; Diego H. Milone; Enzo Ferrante (MICCAI (1), 2021)

Orthogonal Ensemble Networks for Biomedical Image Segmentation. - Agostina J. Larrazabal; César Ernesto Martínez; Jose Dolz; Enzo Ferrante (MICCAI (3), 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)

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)

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 005; Zhiqiang Hu; Eric Kerfoot; James R. Clough; Ilkay Öksüz; Hao Xu; Vicente Grau; Fumin Guo; Matthew Ng; Xiang Li 001; Quanzheng Li; et al. (IEEE J. Biomed. Health Informatics, 2021)

AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. - Jianning Li 002; Pedro Pimentel; Angelika Szengel; Moritz Ehlke; Hans Lamecker; Stefan Zachow; Laura Jovani Estacio Cerquin; Christian Doenitz; Heiko Ramm; Haochen Shi; Xiaojun Chen 003; Franco Matzkin; et al. (IEEE Trans. Medical Imaging, 2021)

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)

Unsupervised Bias Discovery in Medical Image Segmentation. - Nicolás Gaggion; Rodrigo Echeveste; Lucas Mansilla; Diego H. Milone; Enzo Ferrante (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Towards Unraveling Calibration Biases in Medical Image Analysis. - María Agustina Ricci Lara; Candelaria Mosquera; Enzo Ferrante; Rodrigo Echeveste (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models. - Nicolás Gaggion; Maria Vakalopoulou; Diego H. Milone; Enzo Ferrante (ISBI, 2023)

Maximum Entropy on Erroneous Predictions: Improving Model Calibration for Medical Image Segmentation. - Agostina J. Larrazabal; César Martínez; Jose Dolz; Enzo Ferrante (MICCAI (3), 2023)

Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology. - Rodrigo Bonazzola; Enzo Ferrante; Nishant Ravikumar; Yan Xia 002; Bernard D. Keavney; Sven Plein; Tanveer F. Syeda-Mahmood; Alejandro F. Frangi (CoRR, 2023)

Are demographically invariant models and representations in medical imaging fair? - Eike Petersen; Enzo Ferrante; Melanie Ganz; Aasa Feragen (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)

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; et al. (CoRR, 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, 2023)

ViG-Bias: Visually Grounded Bias Discovery and Mitigation. - Badr-Eddine Marani; Mohamed Hanini; Nihitha Malayarukil; Stergios Christodoulidis; Maria Vakalopoulou; Enzo Ferrante (ECCV (59), 2024)

Improving Endoscopy Lesion Classification Using Self-Supervised Deep Learning. - Inês Lopes; Maria Vakalopoulou; Enzo Ferrante; Diogo Libânio; Mário Dinis-Ribeiro; Miguel Tavares Coimbra; Francesco Renna (EMBC, 2024)

Fitting Skeletal Models via Graph-Based Learning. - Nicolás Gaggion; Enzo Ferrante; Beatriz Paniagua; Jared Vicory (ISBI, 2024)

Deep Vessel Segmentation with Joint Multi-Prior Encoding. - Amine Sadikine; Bogdan Badic; Enzo Ferrante; Vincent Noblet; Pascal Ballet; Dimitris Visvikis; Pierre-Henri Conze (ISBI, 2024)

Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging. - Dovile Juodelyte; Yucheng Lu 002; Amelia Jiménez-Sánchez; Sabrina Bottazzi; Enzo Ferrante; Veronika Cheplygina (AMAI@MICCAI, 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)

Uncertainty in latent representations of variational autoencoders optimized for visual tasks. - Josefina Catoni; Enzo Ferrante; Diego H. Milone; Rodrigo Echeveste (CoRR, 2024)

Open Challenges on Fairness of Artificial Intelligence in Medical Imaging Applications. - Enzo Ferrante; Rodrigo Echeveste (CoRR, 2024)

SignAttention: On the Interpretability of Transformer Models for Sign Language Translation. - Pedro Alejandro Dal Bianco; Oscar Agustín Stanchi; Facundo Manuel Quiroga; Franco Ronchetti; Enzo Ferrante (CoRR, 2024)

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation. - 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; et al. (CoRR, 2024)

On dataset transferability in medical image classification. - Dovile Juodelyte; Enzo Ferrante; Yucheng Lu 002; Prabhant Singh; Joaquin Vanschoren; Veronika Cheplygina (CoRR, 2024)

Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology. - Rodrigo Bonazzola; Enzo Ferrante; Nishant Ravikumar; Yan Xia 002; Bernard D. Keavney; Sven Plein; Tanveer F. Syeda-Mahmood; Alejandro F. Frangi (Nat. Mac. Intell., 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)

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation. - 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; et al. (ACL (1), 2025)

Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation. - Estanislao Claucich; Sara Hooker; Diego H. Milone; Enzo Ferrante; Rodrigo Echeveste (FAccT, 2025)

In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review. - 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; et al. (FAccT, 2025)

Towards reliable WMH segmentation under domain shift: An application study using maximum entropy regularization to improve uncertainty estimation. - Franco Matzkin; Agostina J. Larrazabal; Diego H. Milone; Jose Dolz; Enzo Ferrante (Comput. Biol. Medicine, 2025)

Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRI. - Nicolás Gaggion; Benjamin A. Matheson; Yan Xia 002; Rodrigo Bonazzola; Nishant Ravikumar; Zeike A. Taylor; Diego H. Milone; Alejandro F. Frangi; Enzo Ferrante (Medical Image Anal., 2025)

In-Context Reverse Classification Accuracy: Efficient Estimation of Segmentation Quality without Ground-Truth. - Matias Cosarinsky; Ramiro Billot; Lucas Mansilla; Gabriel Gimenez; Nicolás Gaggion; Guanghui Fu; Enzo Ferrante (CoRR, 2025)

Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation. - 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; et al. (CoRR, 2025)

ChronoRoot 2.0: An Open AI-Powered Platform for 2D Temporal Plant Phenotyping. - 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; et al. (CoRR, 2025)

Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg. - Jingchen Zou; Jianqiang Li 002; Gabriel Jimenez 001; Qing Zhao 005; Daniel Racoceanu; Matias Cosarinsky; Enzo Ferrante; Guanghui Fu (CoRR, 2025)

Fairness and Robustness of CLIP-Based Models for Chest X-rays. - Théo Sourget; David Restrepo; Céline Hudelot; Enzo Ferrante; Stergios Christodoulidis; Maria Vakalopoulou (CoRR, 2025)

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI. - David Restrepo; Sofia Ira Ktena; Maria Vakalopoulou; Stergios Christodoulidis; Enzo Ferrante (CoRR, 2025)

Supervision by Denoising. - Sean I. Young; Adrian V. Dalca; Enzo Ferrante; Polina Golland; Christopher A. Metzler; Bruce Fischl; Juan Eugenio Iglesias (IEEE Trans. Pattern Anal. Mach. Intell., 2025)