Golnoosh Samei
Impact in
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- Medical Image Segmentation Techniques
- Augmented Reality Applications
- Advanced Vision and Imaging
- Generative Adversarial Networks and Image Synthesis
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- Artificial Intelligence in Healthcare and Education
Papers in
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- Medical Image Segmentation Techniques 12
- Augmented Reality Applications 2
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- Advanced Radiotherapy Techniques 7
- Co-authors
- Wei Jiang (1 shared paper)Kwang Moo Yi (1 shared paper)Oncel Tuzel (1 shared paper)Anurag Ranjan (1 shared paper)Septimiu E. Salcudean (7 shared papers)Claudia Verena Kesch (4 shared papers)Christine A. Tanner (11 shared papers)Gábor Székely (11 shared papers)
- Journals
- International Journal of Computer Assisted Radiology and Surgery (4 papers)Brachytherapy (1 paper)IEEE Transactions on Medical Imaging (1 paper)Medical Image Analysis (1 paper)Lecture notes in computer science (5 papers)
- Partner nations
- SwitzerlandCanadaUnited States
In The Last Decade
Golnoosh Samei
20 papers receiving 415 citations
Golnoosh Samei's Hit Papers
Peers
Comparison fields: 5 of 31
- Computer Vision and Pattern Recognition 217
- Health Informatics 16
- Radiation 55
- Computational Mechanics 128
- Computer Graphics and Computer-Aided Design 11
Countries citing papers authored by Golnoosh Samei
This map shows the geographic impact of Golnoosh Samei'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 Golnoosh Samei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Golnoosh Samei more than expected).
Fields of papers citing papers by Golnoosh Samei
This network shows the impact of papers produced by Golnoosh Samei. 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 Golnoosh Samei. The network helps show where Golnoosh Samei may publish in the future.
Co-authors
The 25 scholars most cited alongside Golnoosh Samei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | NeuMan: Neural Human Radiance Field from a Single Video Hit paper breakdown → | 2022 | 148 |
| 2 | 2018 | 78 | |
| 3 | 2019 | 38 | |
| 4 | 2018 | 26 | |
| 5 | 2012 | 24 | |
| 6 | 2018 | 21 | |
| 7 | 2012 | 20 | |
| 8 | 2013 | 15 | |
| 9 | 2016 | 13 | |
| 10 | 2019 | 7 | |
| 11 | 2013 | 6 | |
| 12 | 2014 | 4 | |
| 13 | 2016 | 4 | |
| 14 | 2018 | 4 | |
| 15 | 2008 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2015 | 2 | |
| 18 | 2013 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2014 | 1 |
About Golnoosh Samei
Golnoosh Samei is a scholar working on Computer Vision and Pattern Recognition, Radiation, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 20 papers that have together received 419 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Advanced Radiotherapy Techniques (7 papers), Anatomy and Medical Technology (2 papers), Augmented Reality Applications (2 papers), Prostate Cancer Diagnosis and Treatment (1 paper), 3D Shape Modeling and Analysis (1 paper), Ultrasound and Hyperthermia Applications (1 paper) and Advanced MRI Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (217 citations), Health Informatics (16 citations), Radiation (55 citations), Computational Mechanics (128 citations) and Computer Graphics and Computer-Aided Design (11 citations). Golnoosh Samei has collaborated with scholars based in Switzerland, Canada and United States. Frequent co-authors include Wei Jiang, Kwang Moo Yi, Oncel Tuzel, Anurag Ranjan, Septimiu E. Salcudean, Claudia Verena Kesch, Christine A. Tanner, Gábor Székely, Davood Karimi and Guy Nir. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Brachytherapy, IEEE Transactions on Medical Imaging, Medical Image Analysis and Lecture notes in computer science.
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.