Enzo Ferrante

1. Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation
   2024/12/04 by Shivalika Singh, Angelika Romanou, Singh, Shivalika +44 · 64 citations
   Arts and Humanities · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Second Language Learning and Teaching
2. FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
   2023/08/11 by Karim Lekadir, Aasa Feragen, Lekadir, Karim +214 · 27 citations
   Economics, Econometrics and Finance · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #Ethics in Clinical Research #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #I.2.0 #I.4.0 #I.5.0 #Machine Learning (cs.LG)
3. Distance Metric Learning using Graph Convolutional Networks: Application\n to Functional Brain Networks
   2017/03/06 by Sofia Ira Ktena, Sarah Parisot, Ktena, Sofia Ira +11 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #Advanced Graph Neural Networks #Autism Spectrum Disorder Research #Bioinformatics and Genomic Networks #Computer Vision and Pattern Recognition (cs.CV) #Epigenetics and DNA Methylation #FOS: Computer and information sciences #Genetic Associations and Epidemiology #Machine Learning (cs.LG)
4. Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
   2017/11/04 by Konstantinos Kamnitsas, Kamnitsas, Konstantinos, Wenjia Bai +19 · 3 citations
   Computer Science · Medicine · Neuroscience · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging
   2024/03/07 by Dovile Juodelyte, Juodelyte, Dovile, Yucheng Lu +9 · 4 citations
   Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #Medical Imaging Techniques and Applications #AI in cancer detection
6. Unsupervised Domain Adaptation via CycleGAN for White Matter\n Hyperintensity Segmentation in Multicenter MR Images
   2020/09/10 by Julián Alberto Palladino, Diego Fernández Slezak, Palladino, Julian Alberto +3 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Advanced Neuroimaging Techniques and Applications #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
7. Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI
   2023/11/22 by Nicolás Gaggion, Benjamin A. Matheson, Gaggion, Nicolás +15 · 3 citations
   Engineering · Medicine · #3D Shape Modeling and Analysis #Advanced Neuroimaging Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Imaging Techniques and Applications #electronic engineering #information engineering
8. Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation
   2025/04/09 by Israfel Salazar, Manuel Fernández Burda, Salazar, Israfel +93 · 4 voices · 4 citations
   Computer Science · Psychology · #Categorization, perception, and language #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #cs.CL #cs.CV
9. Spectral Graph Convolutions for Population-based Disease Prediction
   2017/03/08 by Sarah Parisot, Sofia Ira Ktena, Parisot, Sarah +11 · 1 citation
   Computer Science · Neuroscience · #Advanced Graph Neural Networks #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML)
10. Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation
    2025/01/24 by Estanislao Claucich, Sara Hooker, Claucich, Estanislao +7 · 1 voice · 2 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.LG
11. Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation
    2021/12/22 by Agostina J. Larrazabal, Larrazabal, Agostina, César E. Martínez +5 · 1 citation
    Computer Science · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications #Radiomics and Machine Learning in Medical Imaging
12. Left ventricle quantification through spatio-temporal CNNs
    2018/08/23 by Alejandro Debus, Debus, Alejandro, Enzo Ferrante +1 · 1 citation
    Medicine · #Advanced MRI Techniques and Applications #Cardiac Imaging and Diagnostics #Cardiovascular Function and Risk Factors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
13. Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology
    2023/01/07 by Rodrigo Bonazzola, Bonazzola, Rodrigo, Enzo Ferrante +13 · 1 citation
    Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #FOS: Computer and information sciences #Gene expression and cancer classification #Genetic Associations and Epidemiology #Genomics (q-bio.GN) #Machine Learning (cs.LG)
14. Are demographically invariant models and representations in medical imaging fair?
    2023/05/02 by Eike Petersen, Enzo Ferrante, Petersen, Eike +5 · 1 citation
    Health Professions · Medicine · Social Sciences · #Computers and Society (cs.CY) #Diversity and Career in Medicine #FOS: Computer and information sciences #FOS: Electrical engineering #Global Cancer Incidence and Screening #Healthcare cost, quality, practices #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
15. What Large Language Models Know About Plant Molecular Biology
    2025/09/04 by Manuel Fernandez Burda, Lucía Ferrero, Nicolás Gaggion +4 · 5 voices
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Topic Modeling #Advanced Text Analysis Techniques #Biomedical Text Mining and Ontologies
16. Predicting risk of cardiovascular disease using retinal OCT imaging
    2024/03/26 by Cynthia Maldonado-García, Maldonado-Garcia, Cynthia, Rodrigo Bonazzola +11 · 1 citation
    Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Retinal Imaging and Analysis #electronic engineering #information engineering