David Bandon
Impact in
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- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Video Analysis and Summarization
- Advanced Data Compression Techniques
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
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- Medical Imaging Techniques and Applications 2
- Radiomics and Machine Learning in Medical Imaging 2
- Radiology practices and education 2
- Co-authors
- Antoine GeissbühlerNicolas MichouxHenning MüllerChristian LovisJean‐Paul ValléeOsman RatibD.J. ValentinoC. Girard
- Journals
- Academic Radiology (1 paper)International Journal of Medical Informatics (1 paper)Studies in health technology and informatics (1 paper)International Congress Series (3 papers)Abdominal Imaging (1 paper)
- Partner nations
- SwitzerlandUnited States
In The Last Decade
David Bandon
10 papers receiving 952 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 885
- Artificial Intelligence 337
- Media Technology 61
- Radiology, Nuclear Medicine and Imaging 122
- Health Information Management 15
Countries citing papers authored by David Bandon
This map shows the geographic impact of David Bandon'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 David Bandon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bandon more than expected).
Fields of papers citing papers by David Bandon
This network shows the impact of papers produced by David Bandon. 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 David Bandon. The network helps show where David Bandon may publish in the future.
Co-authors
The 10 scholars most cited alongside David Bandon, 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 | 2006 | 1 | |
| 2 | 2006 | 1 | |
| 3 | 2005 | 22 | |
| 4 | 2004 | 7 | |
| 5 | A review of content-based image retrieval systems in medical applications—clinical benefits and future directions Hit paper breakdown → | 2004 | 990 |
| 6 | 2003 | 2 | |
| 7 | 2001 | 1 | |
| 8 | 2001 | 1 | |
| 9 | 2000 | 24 | |
| 10 | 1998 | 7 | |
| 11 | Quality on demand for image retrieval through a WWW-PACS | 1998 | 1 |
About David Bandon
David Bandon is a scholar working on Health Information Management, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (5 papers), Biomedical Text Mining and Ontologies (3 papers), Image Retrieval and Classification Techniques (3 papers), Medical Imaging Techniques and Applications (2 papers), AI in cancer detection (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Radiology practices and education (2 papers) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (885 citations), Artificial Intelligence (337 citations), Media Technology (61 citations), Radiology, Nuclear Medicine and Imaging (122 citations) and Health Information Management (15 citations). David Bandon has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Antoine Geissbühler, Nicolas Michoux, Henning Müller, Christian Lovis, Jean‐Paul Vallée, Osman Ratib, D.J. Valentino, C. Girard, François Terrier and Antoine Rosset. Their work appears in journals such as Academic Radiology, International Journal of Medical Informatics, Studies in health technology and informatics, International Congress Series and Abdominal Imaging.
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.