Daniel E. Worrall
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Advanced Image Processing Techniques
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- Retinal Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Advanced Image and Video Retrieval Techniques 2
- Advanced Neural Network Applications 2
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- Retinal Imaging and Analysis 2
- Advanced Neuroimaging Techniques and Applications 2
- Advanced MRI Techniques and Applications 2
- Retinopathy of Prematurity Studies 2
- Co-authors
- Gabriel Brostow (4 shared papers)Stephan J. Garbin (1 shared paper)Daniyar Turmukhambetov (1 shared paper)Clare Wilson (2 shared papers)Max Welling (3 shared papers)Stamatios N. Sotiropoulos (2 shared papers)Enrico Kaden (2 shared papers)Aurobrata Ghosh (2 shared papers)
- Journals
- NeuroImage (1 paper)Investigative Ophthalmology & Visual Science (1 paper)Scientific Reports (1 paper)Lecture notes in computer science (3 papers)UvA-DARE (University of Amsterdam) (3 papers)
- Partner nations
- United KingdomNetherlandsGermany
In The Last Decade
Daniel E. Worrall
11 papers receiving 636 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 319
- Radiology, Nuclear Medicine and Imaging 195
- Health Informatics 11
- Artificial Intelligence 185
- Media Technology 48
Countries citing papers authored by Daniel E. Worrall
This map shows the geographic impact of Daniel E. Worrall'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 Daniel E. Worrall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Worrall more than expected).
Fields of papers citing papers by Daniel E. Worrall
This network shows the impact of papers produced by Daniel E. Worrall. 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 Daniel E. Worrall. The network helps show where Daniel E. Worrall may publish in the future.
Co-authors
The 24 scholars most cited alongside Daniel E. Worrall, 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 | 2017 | 320 | |
| 2 | 2020 | 76 | |
| 3 | 2017 | 73 | |
| 4 | 2016 | 73 | |
| 5 | 2019 | 52 | |
| 6 | 2022 | 29 | |
| 7 | Deep Scale-spaces: Equivariance Over Scale | 2019 | 18 |
| 8 | SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks | 2020 | 15 |
| 9 | 2019 | 2 | |
| 10 | Virtual Adversarial Ladder Networks For Semi-supervised Learning | 2017 | 1 |
| 11 | Automated Optic Disk (OD) Localization in The Neonatal Fundus Image | 2016 | 1 |
About Daniel E. Worrall
Daniel E. Worrall is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pediatrics, Perinatology and Child Health and Infectious Diseases, having authored 11 papers that have together received 660 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Advanced MRI Techniques and Applications (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Retinopathy of Prematurity Studies (2 papers), Neonatal and fetal brain pathology (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (319 citations), Radiology, Nuclear Medicine and Imaging (195 citations), Health Informatics (11 citations), Artificial Intelligence (185 citations) and Media Technology (48 citations). Daniel E. Worrall has collaborated with scholars based in United Kingdom, Netherlands and Germany. Frequent co-authors include Gabriel Brostow, Stephan J. Garbin, Daniyar Turmukhambetov, Clare Wilson, Max Welling, Stamatios N. Sotiropoulos, Enrico Kaden, Aurobrata Ghosh, Antonio Criminisi and Daniel C. Alexander. Their work appears in journals such as NeuroImage, Investigative Ophthalmology & Visual Science, Scientific Reports, Lecture notes in computer science and UvA-DARE (University of Amsterdam).
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.