Enzo Ferrante
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 6
- COVID-19 diagnosis using AI 5
- Medical Imaging Techniques and Applications 5
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- Medical Image Segmentation Techniques 12
- Co-authors
- Daniel Rueckert (7 shared papers)Ben Glocker (6 shared papers)Sarah Parisot (6 shared papers)Diego H. Milone (11 shared papers)Sofia Ira Ktena (3 shared papers)Matthew Lee (3 shared papers)Nikos Paragios (6 shared papers)Victoria Peterson (3 shared papers)
- Journals
- Respiration (3 papers)Medical Image Analysis (3 papers)European Radiology (2 papers)GigaScience (2 papers)IEEE Transactions on Medical Imaging (2 papers)
- Partner nations
- ArgentinaUnited KingdomItaly
In The Last Decade
Enzo Ferrante
62 papers receiving 2.3k citations
Enzo Ferrante's Hit Papers
Peers
Comparison fields: 5 of 154
- Health Informatics 254
- Radiology, Nuclear Medicine and Imaging 812
- Computer Vision and Pattern Recognition 563
- Neurology 206
- Cognitive Neuroscience 477
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 65 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 | 438 |
| 2 | Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease Hit paper breakdown → | 2018 | 432 |
| 3 | 2020 | 324 | |
| 4 | 2017 | 252 | |
| 5 | 2017 | 111 | |
| 6 | 2022 | 107 | |
| 7 | 2020 | 92 | |
| 8 | 2016 | 69 | |
| 9 | 2020 | 56 | |
| 10 | 2020 | 36 | |
| 11 | 2021 | 33 | |
| 12 | Unsupervised Lesion Detection in Brain CT using Bayesian Convolutional Autoencoders | 2018 | 31 |
| 13 | 2022 | 30 | |
| 14 | Reference values for essential and toxic elements in human milk. | 1990 | 27 |
| 15 | 2018 | 22 | |
| 16 | 1991 | 21 | |
| 17 | 2024 | 19 | |
| 18 | 1989 | 19 | |
| 19 | 2013 | 19 | |
| 20 | 2018 | 14 |
About Enzo Ferrante
Enzo Ferrante is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Pulmonary and Respiratory Medicine and Physiology, having authored 65 papers that have together received 2.3k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), COVID-19 diagnosis using AI (5 papers), Asthma and respiratory diseases (5 papers), Medical Imaging Techniques and Applications (5 papers), Brain Tumor Detection and Classification (5 papers) and Medical Imaging and Analysis (5 papers). The work is most often cited by research in Health Informatics (254 citations), Radiology, Nuclear Medicine and Imaging (812 citations), Computer Vision and Pattern Recognition (563 citations), Neurology (206 citations) and Cognitive Neuroscience (477 citations). Enzo Ferrante has collaborated with scholars based in Argentina, United Kingdom and Italy. Frequent co-authors include Daniel Rueckert, Ben Glocker, Sarah Parisot, Diego H. Milone, Sofia Ira Ktena, Matthew Lee, Nikos Paragios, Victoria Peterson, Agostina J. Larrazabal and Nicolás Nieto. Their work appears in journals such as Respiration, Medical Image Analysis, European Radiology, GigaScience and IEEE Transactions on Medical Imaging.
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.