Leo Grady
Impact in
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- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Visual Attention and Saliency Detection
- Advanced Vision and Imaging
Papers in
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- Medical Image Segmentation Techniques 44
- Advanced Neural Network Applications 16
- Advanced Image and Video Retrieval Techniques 15
- Digital Image Processing Techniques 13
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- Medical Imaging Techniques and Applications 13
- Radiomics and Machine Learning in Medical Imaging 10
- Co-authors
- Jon̈athan R. Polimeni (17 shared papers)Ali Kemal Sinop (5 shared papers)Eli Schwartz (2 shared papers)Gareth Funka-Lea (3 shared papers)Hervé Lombaert (6 shared papers)Laurent Najman (5 shared papers)Hugues Talbot (5 shared papers)Camille Couprie (4 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)Lecture notes in computer science (22 papers)International Journal of Computer Vision (2 papers)SIAM Journal on Imaging Sciences (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Leo Grady
95 papers receiving 5.2k citations
Leo Grady's Hit Papers
Peers
Comparison fields: 5 of 157
- Computer Vision and Pattern Recognition 3.5k
- Computer Graphics and Computer-Aided Design 199
- Media Technology 479
- Radiology, Nuclear Medicine and Imaging 942
- Biophysics 223
Countries citing papers authored by Leo Grady
This map shows the geographic impact of Leo Grady'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 Leo Grady with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leo Grady more than expected).
Fields of papers citing papers by Leo Grady
This network shows the impact of papers produced by Leo Grady. 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 Leo Grady. The network helps show where Leo Grady may publish in the future.
Co-authors
The 25 scholars most cited alongside Leo Grady, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Random Walks for Image Segmentation Hit paper breakdown → | 2006 | 2006 |
| 2 | 2010 | 234 | |
| 3 | 2007 | 218 | |
| 4 | 2006 | 200 | |
| 5 | 2005 | 182 | |
| 6 | 2005 | 177 | |
| 7 | 2010 | 162 | |
| 8 | 2004 | 147 | |
| 9 | 2020 | 132 | |
| 10 | Random walks for interactive alpha-matting | 2005 | 109 |
| 11 | 2014 | 95 | |
| 12 | 2005 | 93 | |
| 13 | 2012 | 78 | |
| 14 | 2013 | 75 | |
| 15 | 2012 | 64 | |
| 16 | 2012 | 60 | |
| 17 | 2012 | 54 | |
| 18 | 2009 | 51 | |
| 19 | 2009 | 51 | |
| 20 | 2010 | 51 |
About Leo Grady
Leo Grady is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computational Mechanics and Computational Theory and Mathematics, having authored 98 papers that have together received 5.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (44 papers), Advanced Neural Network Applications (16 papers), Advanced Image and Video Retrieval Techniques (15 papers), Medical Imaging Techniques and Applications (13 papers), Digital Image Processing Techniques (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (9 papers) and Sparse and Compressive Sensing Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.5k citations), Computer Graphics and Computer-Aided Design (199 citations), Media Technology (479 citations), Radiology, Nuclear Medicine and Imaging (942 citations) and Biophysics (223 citations). Leo Grady has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Jon̈athan R. Polimeni, Ali Kemal Sinop, Eli Schwartz, Gareth Funka-Lea, Hervé Lombaert, Laurent Najman, Hugues Talbot, Camille Couprie, Marie‐Pierre Jolly and Eric L. Schwartz. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science, International Journal of Computer Vision, SIAM Journal on Imaging Sciences and Cancer Research.
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.