Milad Soltany
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Neurology top 10%
- Biomedical Engineering
- Co-authors
- Dorit MerhofReza AzadAmirhossein KazerouniJulien Cohen‐AdadEhsan Khodapanah AghdamMoein HeidariHamid Reza PourrezaAli Etemad
- Topics
- Radiomics and Machine Learning in Medical Imaging (1 paper)Handwritten Text Recognition Techniques (1 paper)User Authentication and Security Systems (1 paper)
- Journals
- Advanced materials research2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)Proceedings of the AAAI Conference on Artificial Intelligence
In The Last Decade
Milad Soltany
3 papers receiving 291 citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 178
- Artificial Intelligence 114
- Radiology, Nuclear Medicine and Imaging 91
- Neurology 85
- Biomedical Engineering 35
Countries citing papers authored by Milad Soltany
This map shows the geographic impact of Milad Soltany'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 Milad Soltany with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milad Soltany more than expected).
Fields of papers citing papers by Milad Soltany
This network shows the impact of papers produced by Milad Soltany. 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 Milad Soltany. The network helps show where Milad Soltany may publish in the future.
Co-authorship network of co-authors of Milad Soltany
This figure shows the co-authorship network connecting the top 25 collaborators of Milad Soltany. A scholar is included among the top collaborators of Milad Soltany 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 Milad Soltany. Milad Soltany is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentationbreakdown → | 260 |
| 3 | Fast and Accurate Pupil Positioning Algorithm using Circular Hough Transform and Gray Projection | 31 |
| 4 | 6 |
About Milad Soltany
Milad Soltany is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Ophthalmology, having authored 4 papers that have together received 297 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (1 paper), Handwritten Text Recognition Techniques (1 paper) and User Authentication and Security Systems (1 paper). The work is most often cited by research in Neurology (85 citations), Computer Vision and Pattern Recognition (178 citations) and Radiology, Nuclear Medicine and Imaging (91 citations). Milad Soltany has collaborated with scholars based in Canada, Iran and Germany. Frequent co-authors include Dorit Merhof, Reza Azad, Amirhossein Kazerouni, Julien Cohen‐Adad, Ehsan Khodapanah Aghdam, Moein Heidari, Hamid Reza Pourreza, Ali Etemad, Farhad Pourpanah and Michael Greenspan. Their work appears in journals such as Advanced materials research, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.