Enzo Ferrante
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Neurology top 1%
- Brain Tumor Detection and Classification
Papers in
-
- Medical Image Segmentation Techniques 18
- Advanced Neural Network Applications 9
-
- COVID-19 diagnosis using AI 9
- Radiomics and Machine Learning in Medical Imaging 9
- Co-authors
- Ben Glocker (12 shared papers)Daniel Rueckert (12 shared papers)Sarah Parisot (7 shared papers)Sofia Ira Ktena (6 shared papers)Matthew Lee (4 shared papers)Diego H. Milone (14 shared papers)Konstantinos Kamnitsas (7 shared papers)Nikos Paragios (10 shared papers)
- Journals
- Respiration (3 papers)Medical Image Analysis (3 papers)Lecture notes in computer science (21 papers)European Radiology (2 papers)GigaScience (2 papers)
- Partner nations
- ArgentinaUnited KingdomFrance
In The Last Decade
Enzo Ferrante
81 papers receiving 3.5k citations
Enzo Ferrante's Hit Papers
Peers
Comparison fields: 5 of 162
- Health Informatics 306
- Neurology 563
- Radiology, Nuclear Medicine and Imaging 1.1k
- Computer Vision and Pattern Recognition 1.1k
- Cognitive Neuroscience 652
Countries citing papers authored by Enzo Ferrante
This map shows the geographic impact of Enzo Ferrante's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Enzo Ferrante with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enzo Ferrante more than expected).
Fields of papers citing papers by Enzo Ferrante
This network shows the impact of papers produced by Enzo Ferrante. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Enzo Ferrante. The network helps show where Enzo Ferrante may publish in the future.
Co-authors
The 25 scholars most cited alongside Enzo Ferrante, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation Hit paper breakdown → | 2017 | 524 |
| 2 | Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease Hit paper breakdown → | 2018 | 506 |
| 3 | Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis Hit paper breakdown → | 2020 | 405 |
| 4 | 2018 | 296 | |
| 5 | 2017 | 277 | |
| 6 | 2016 | 224 | |
| 7 | 2017 | 152 | |
| 8 | 2022 | 131 | |
| 9 | 2017 | 127 | |
| 10 | 2017 | 117 | |
| 11 | 2020 | 109 | |
| 12 | 2016 | 77 | |
| 13 | 2020 | 64 | |
| 14 | Unsupervised Lesion Detection in Brain CT using Bayesian Convolutional Autoencoders | 2018 | 46 |
| 15 | 2021 | 41 | |
| 16 | 2022 | 40 | |
| 17 | 2020 | 36 | |
| 18 | 2018 | 33 | |
| 19 | 2018 | 27 | |
| 20 | Reference values for essential and toxic elements in human milk. | 1990 | 27 |
About Enzo Ferrante
Enzo Ferrante is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering and Neurology, having authored 85 papers that have together received 3.6k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (18 papers), Advanced Neural Network Applications (9 papers), Medical Imaging and Analysis (9 papers), COVID-19 diagnosis using AI (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Brain Tumor Detection and Classification (8 papers), AI in cancer detection (6 papers) and Artificial Intelligence in Healthcare and Education (6 papers). The work is most often cited by research in Health Informatics (306 citations), Neurology (563 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Computer Vision and Pattern Recognition (1.1k citations) and Cognitive Neuroscience (652 citations). Enzo Ferrante has collaborated with scholars based in Argentina, United Kingdom and France. Frequent co-authors include Ben Glocker, Daniel Rueckert, Sarah Parisot, Sofia Ira Ktena, Matthew Lee, Diego H. Milone, Konstantinos Kamnitsas, Nikos Paragios, Martin Rajchl and Agostina J. Larrazabal. Their work appears in journals such as Respiration, Medical Image Analysis, Lecture notes in computer science, European Radiology and GigaScience.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.