Fausto Milletarì
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Neurology top 10%
- Biomedical Engineering
- Co-authors
- Nassir NavabM. Jorge CardosoNicola RiekeDaguang XuWenqi LiSeyed‐Ahmad AhmadiYan ChengSébastien Ourselin
- Topics
- Medical Image Segmentation Techniques (7 papers)Medical Imaging and Analysis (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
- Journals
- Clinical NeurophysiologyEuropean Journal of Nuclear Medicine and Molecular ImagingComputer Vision and Image Understanding
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Fausto Milletarì
21 papers receiving 863 citations
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 393
- Radiology, Nuclear Medicine and Imaging 304
- Computer Vision and Pattern Recognition 262
- Neurology 129
- Biomedical Engineering 115
Countries citing papers authored by Fausto Milletarì
This map shows the geographic impact of Fausto Milletarì'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 Fausto Milletarì with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fausto Milletarì more than expected).
Fields of papers citing papers by Fausto Milletarì
This network shows the impact of papers produced by Fausto Milletarì. 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 Fausto Milletarì. The network helps show where Fausto Milletarì may publish in the future.
Co-authorship network of co-authors of Fausto Milletarì
This figure shows the co-authorship network connecting the top 25 collaborators of Fausto Milletarì. A scholar is included among the top collaborators of Fausto Milletarì based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fausto Milletarì. Fausto Milletarì is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 16 | |
| 3 | 42 | |
| 4 | 19 | |
| 5 | Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings | 4 |
| 6 | 40 | |
| 7 | 294 | |
| 8 | 6 | |
| 9 | 63 | |
| 10 | 1 | |
| 11 | 12 | |
| 12 | Hough Voting Strategies for Segmentation, Detection and Tracking | 3 |
| 13 | 28 | |
| 14 | 263 | |
| 15 | 7 | |
| 16 | 48 | |
| 17 | 10 | |
| 18 | 6 | |
| 19 | 12 | |
| 20 | 13 |
About Fausto Milletarì
Fausto Milletarì is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 892 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Medical Imaging and Analysis (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Health Informatics (66 citations), Neurology (129 citations) and Radiology, Nuclear Medicine and Imaging (304 citations). Fausto Milletarì has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Nassir Navab, M. Jorge Cardoso, Nicola Rieke, Daguang Xu, Wenqi Li, Seyed‐Ahmad Ahmadi, Yan Cheng, Sébastien Ourselin, Maximilian Baust and Andrew Feng. Their work appears in journals such as Clinical Neurophysiology, European Journal of Nuclear Medicine and Molecular Imaging and Computer Vision and Image Understanding.
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.