Enzo Ferrante

Consejo Nacional de Investigaciones Científicas y Técnicas — Argentina

Computer Science · Physical Sciences

27h-index5.4kcitations195works3.22yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Medical Image Segmentation Techniques(33), Radiomics and Machine Learning in Medical Imaging(23), Medical Imaging and Analysis(23), AI in cancer detection(19), Brain Tumor Detection and Classification(17)

Publications195 total

CheXmask-U: Quantifying uncertainty in landmark-based anatomical segmentation for X-ray images
ArXiv.org·2025Open Access
Predicting cardiovascular disease risk using retinal optical coherence tomography imaging
Frontiers in Artificial Intelligence·2025· 1 citedOpen Access
Imaging genetics of the beating heart: disentangling static and dynamic cardiac phenotypes
2025Open Access
On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI
Lecture notes in computer science·2025Open Access
Fairness and Robustness of CLIP-Based Models for Chest X-Rays
Lecture notes in computer science·2025
BM-CL: Bias Mitigation through the lens of Continual Learning
arXiv (Cornell University)·2025Open Access
On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI
arXiv (Cornell University)·2025Open Access
Towards reliable WMH segmentation under domain shift: An application study using maximum entropy regularization to improve uncertainty estimation
Computers in Biology and Medicine·2025· 2 citedOpen Access
Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation
2025Open Access
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review
2025· 5 citedOpen Access
Towards Reliable WMH Segmentation under Domain Shift: An Application Study using Maximum Entropy Regularization to Improve Uncertainty Estimation
arXiv (Cornell University)·2025Open Access
Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRI
Medical Image Analysis·2025· 4 citedOpen Access
Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg
arXiv (Cornell University)·2025Open Access
ChronoRoot 2.0: An Open AI-Powered Platform for 2D Temporal Plant Phenotyping
ArXiv.org·2025Open Access
Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation
arXiv (Cornell University)·2025Open Access
Conformal In-Context Reverse Classification Accuracy: Efficient Estimation of Segmentation Quality with Statistical Guarantees
arXiv (Cornell University)·2025Open Access
The transcription factor <scp>NF</scp> ‐ <scp>YA10</scp> determines the area explored by <i>Arabidopsis thaliana</i> roots and directly regulates <i>LAZY</i> genes
The Plant Journal·2025· 1 citedOpen Access
Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation
arXiv (Cornell University)·2025Open Access
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review
arXiv (Cornell University)·2025· 1 citedOpen Access
Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation
2025· 4 citedOpen Access
page 1 of 10Next →

Frequent Co-authors

Ben Glocker(16), Daniel Rueckert(14), Sarah Parisot(10), Diego H. Milone(8), Nikos Paragios(8), Konstantinos Kamnitsas(7), Martin Rajchl(6), Sofia Ira Ktena(5), Matthew Lee(5), Steven McDonagh(4), Virginia Newcombe(4), Nicolás Gaggion(4), Leonello Fuso(4), Wenjia Bai(3), Bernhard Kainz(3), Matthew Sinclair(3), Nick Pawlowski(3), David Menon(3), Lucas Mansilla(3), Candelaria Mosquera(3)