Enzo Ferrante
Researcher Next ID · RN-044358
Researcher · Computer Science
Buenos Aires, Argentina
- Works count
- 214
- Citation count
- 5,860
- H-index
- 28
- i10-index
- 49
Research interests
Publications
Addressing fairness in artificial intelligence for medical imaging
Nature Communications · 2022 · 10.1038/s41467-022-32186-3
Addressing fairness in artificial intelligence for medical imaging
Nature Communications · 2022 · 10.1038/s41467-022-32186-3
Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis
Proceedings of the National Academy of Sciences · 2020 · https://doi.org/10.1073/pnas.1919012117
Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study
The Lancet Digital Health · 2020 · 10.1016/s2589-7500(20)30085-6
Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study
The Lancet Digital Health · 2020 · 10.1016/s2589-7500(20)30085-6
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
Lecture notes in computer science · 2018 · https://doi.org/10.1007/978-3-319-75238-9_38
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease
Medical Image Analysis · 2018 · https://doi.org/10.1016/j.media.2018.06.001
Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks
Lecture notes in computer science · 2017 · 10.1007/978-3-319-66182-7_54
Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks
Lecture notes in computer science · 2017 · 10.1007/978-3-319-66182-7_54
Spectral Graph Convolutions for Population-Based Disease Prediction
Lecture notes in computer science · 2017 · 10.1007/978-3-319-66179-7_21
Spectral Graph Convolutions for Population-Based Disease Prediction
Lecture notes in computer science · 2017 · 10.1007/978-3-319-66179-7_21
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
IEEE Transactions on Medical Imaging · 2017 · https://doi.org/10.1109/tmi.2017.2743464
Metric learning with spectral graph convolutions on brain connectivity networks
NeuroImage · 2017 · https://doi.org/10.1016/j.neuroimage.2017.12.052
Slice-to-volume medical image registration: A survey
Medical Image Analysis · 2017 · 10.1016/j.media.2017.04.010
Slice-to-volume medical image registration: A survey
Medical Image Analysis · 2017 · 10.1016/j.media.2017.04.010
DeepMedic for Brain Tumor Segmentation
Lecture notes in computer science · 2016 · 10.1007/978-3-319-55524-9_14
DeepMedic for Brain Tumor Segmentation
Lecture notes in computer science · 2016 · 10.1007/978-3-319-55524-9_14
Current projects
No projects listed.