Wouter Bulten
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 2%
- AI in cancer detection
Papers in
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- Prostate Cancer Diagnosis and Treatment 7
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- AI in cancer detection 7
- Co-authors
- Geert Litjens (8 shared papers)Jeroen van der Laak (5 shared papers)Bram van Ginneken (3 shared papers)Hans Pinckaers (5 shared papers)Christina Hulsbergen‐van de Kaa (2 shared papers)Robert Vink (2 shared papers)Thomas de Bel (2 shared papers)Péter Bándi (2 shared papers)
- Journals
- Scientific Reports (1 paper)The Lancet Oncology (1 paper)Medical Image Analysis (1 paper)European Urology Focus (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- NetherlandsSwedenAustralia
In The Last Decade
Wouter Bulten
9 papers receiving 985 citations
Wouter Bulten's Hit Papers
Peers
Comparison fields: 5 of 90
- Health Informatics 94
- Artificial Intelligence 752
- Radiology, Nuclear Medicine and Imaging 530
- Biophysics 103
- Computer Vision and Pattern Recognition 275
Countries citing papers authored by Wouter Bulten
This map shows the geographic impact of Wouter Bulten'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 Wouter Bulten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wouter Bulten more than expected).
Fields of papers citing papers by Wouter Bulten
This network shows the impact of papers produced by Wouter Bulten. 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 Wouter Bulten. The network helps show where Wouter Bulten may publish in the future.
Co-authors
The 25 scholars most cited alongside Wouter Bulten, 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 | Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study Hit paper breakdown → | 2020 | 421 |
| 2 | Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology Hit paper breakdown → | 2019 | 317 |
| 3 | 2019 | 101 | |
| 4 | Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study | 2020 | 77 |
| 5 | 2021 | 31 | |
| 6 | 2016 | 24 | |
| 7 | 2020 | 14 | |
| 8 | 2018 | 12 | |
| 9 | 2019 | 1 |
About Wouter Bulten
Wouter Bulten is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 9 papers that have together received 998 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (7 papers), AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging and Analysis (2 papers), Digital Imaging for Blood Diseases (1 paper), Indoor and Outdoor Localization Technologies (1 paper), Robotics and Sensor-Based Localization (1 paper) and Underwater Vehicles and Communication Systems (1 paper). The work is most often cited by research in Health Informatics (94 citations), Artificial Intelligence (752 citations), Radiology, Nuclear Medicine and Imaging (530 citations), Biophysics (103 citations) and Computer Vision and Pattern Recognition (275 citations). Wouter Bulten has collaborated with scholars based in Netherlands, Sweden and Australia. Frequent co-authors include Geert Litjens, Jeroen van der Laak, Bram van Ginneken, Hans Pinckaers, Christina Hulsbergen‐van de Kaa, Robert Vink, Thomas de Bel, Péter Bándi, Hester van Boven and John‐Melle Bokhorst. Their work appears in journals such as Scientific Reports, The Lancet Oncology, Medical Image Analysis, European Urology Focus and Zenodo (CERN European Organization for Nuclear 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.