Ben Glocker
Impact in
- Health Informatics top 0.1%
-
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
-
- Medical Image Segmentation Techniques 69
- Advanced Neural Network Applications 33
-
- AI in cancer detection 28
- Domain Adaptation and Few-Shot Learning 25
- Co-authors
- Daniel Rueckert (58 shared papers)Konstantinos Kamnitsas (28 shared papers)Antonio Criminisi (25 shared papers)Christian Ledig (8 shared papers)Virginia Newcombe (10 shared papers)David Menon (9 shared papers)Andrew D. Kane (2 shared papers)Joanna Simpson (2 shared papers)
- Journals
- Medical Image Analysis (16 papers)IEEE Transactions on Medical Imaging (11 papers)Lecture notes in computer science (82 papers)The Lancet Digital Health (4 papers)NeuroImage (3 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Ben Glocker
215 papers receiving 13.7k citations
Ben Glocker's Hit Papers
Peers
Comparison fields: 5 of 186
- Health Informatics 487
- Computer Vision and Pattern Recognition 6.9k
- Neurology 2.2k
- Radiology, Nuclear Medicine and Imaging 4.2k
- Geology 727
Countries citing papers authored by Ben Glocker
This map shows the geographic impact of Ben Glocker'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 Ben Glocker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Glocker more than expected).
Fields of papers citing papers by Ben Glocker
This network shows the impact of papers produced by Ben Glocker. 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 Ben Glocker. The network helps show where Ben Glocker may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Glocker, 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 228 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation Hit paper breakdown → | 2016 | 2511 |
| 2 | Attention gated networks: Learning to leverage salient regions in medical images Hit paper breakdown → | 2019 | 1380 |
| 3 | Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images Hit paper breakdown → | 2013 | 629 |
| 4 | ElasticFusion: Dense SLAM Without A Pose Graph Hit paper breakdown → | 2015 | 545 |
| 5 | Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation Hit paper breakdown → | 2017 | 524 |
| 6 | Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease Hit paper breakdown → | 2018 | 506 |
| 7 | ElasticFusion: Real-time dense SLAM and light source estimation Hit paper breakdown → | 2016 | 492 |
| 8 | 2008 | 313 | |
| 9 | Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks Hit paper breakdown → | 2017 | 310 |
| 10 | Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation Hit paper breakdown → | 2017 | 308 |
| 11 | 2018 | 296 | |
| 12 | 2017 | 277 | |
| 13 | 2016 | 224 | |
| 14 | 2012 | 222 | |
| 15 | 2020 | 163 | |
| 16 | 2012 | 154 | |
| 17 | 2019 | 152 | |
| 18 | 2017 | 152 | |
| 19 | 2011 | 144 | |
| 20 | 2013 | 142 |
About Ben Glocker
Ben Glocker is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Aerospace Engineering, having authored 228 papers that have together received 14.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (69 papers), Radiomics and Machine Learning in Medical Imaging (34 papers), Advanced Neural Network Applications (33 papers), AI in cancer detection (28 papers), Medical Imaging and Analysis (27 papers), Domain Adaptation and Few-Shot Learning (25 papers), Medical Imaging Techniques and Applications (23 papers) and Robotics and Sensor-Based Localization (22 papers). The work is most often cited by research in Health Informatics (487 citations), Computer Vision and Pattern Recognition (6.9k citations), Neurology (2.2k citations), Radiology, Nuclear Medicine and Imaging (4.2k citations) and Geology (727 citations). Ben Glocker has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Daniel Rueckert, Konstantinos Kamnitsas, Antonio Criminisi, Christian Ledig, Virginia Newcombe, David Menon, Andrew D. Kane, Joanna Simpson, Ozan Oktay and Bernhard Kainz. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, Lecture notes in computer science, The Lancet Digital Health and NeuroImage.
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.