Amir Alansary
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pediatrics, Perinatology and Child Health
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Bernhard KainzDaniel RueckertBen GlockerBenjamin HouYuanwei LiJoseph V. HajnalFahmi KhalifaMary Rutherford
- Topics
- Fetal and Pediatric Neurological Disorders (8 papers)Medical Image Segmentation Techniques (6 papers)Advanced Neuroimaging Techniques and Applications (4 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- IEEE Transactions on Medical ImagingMedical Image AnalysisIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- United StatesUnited KingdomNew Zealand
In The Last Decade
Amir Alansary
17 papers receiving 314 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 121
- Radiology, Nuclear Medicine and Imaging 119
- Pediatrics, Perinatology and Child Health 90
- Artificial Intelligence 80
- Biomedical Engineering 59
Countries citing papers authored by Amir Alansary
This map shows the geographic impact of Amir Alansary'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 Amir Alansary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Alansary more than expected).
Fields of papers citing papers by Amir Alansary
This network shows the impact of papers produced by Amir Alansary. 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 Amir Alansary. The network helps show where Amir Alansary may publish in the future.
Co-authorship network of co-authors of Amir Alansary
This figure shows the co-authorship network connecting the top 25 collaborators of Amir Alansary. A scholar is included among the top collaborators of Amir Alansary 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 Amir Alansary. Amir Alansary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling | 2 |
| 3 | 96 | |
| 4 | 27 | |
| 5 | Standard Plane Localisation in 3D Fetal Ultrasound Using Network with Geometric and Image Loss | 4 |
| 6 | 54 | |
| 7 | Deep Pose Estimation for Image-Based Registration | 4 |
| 8 | 19 | |
| 9 | 29 | |
| 10 | 24 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 7 | |
| 16 | 8 | |
| 17 | 15 |
About Amir Alansary
Amir Alansary is a scholar working on Health Informatics, Pediatrics, Perinatology and Child Health and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 319 indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (8 papers), Medical Image Segmentation Techniques (6 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). The work is most often cited by research in Health Informatics (12 citations), Computer Vision and Pattern Recognition (121 citations) and Radiology, Nuclear Medicine and Imaging (119 citations). Amir Alansary has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Bernhard Kainz, Daniel Rueckert, Ben Glocker, Benjamin Hou, Yuanwei Li, Joseph V. Hajnal, Fahmi Khalifa, Mary Rutherford, Ahmed Soliman and Ayman El‐Baz. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis and IEEE Transactions on Visualization and Computer Graphics.
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.