Greg Slabaugh
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- Medical Image Segmentation Techniques 35
- Advanced Vision and Imaging 21
- Advanced Image Processing Techniques 14
- Image and Signal Denoising Methods 12
- Image Enhancement Techniques 10
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- Computer Graphics and Visualization Techniques 10
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- Radiomics and Machine Learning in Medical Imaging 10
- Artificial Intelligence top 1%
- Media Technology top 1%
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- Colorectal Cancer Screening and Detection 14
- Co-authors
- Aleš LeonardisGözde ÜnalXujiong YeSarah ParisotRahaf AljundiTinne TuytelaarsMarc MasanaXu Jia
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignRadiology, Nuclear Medicine and Imaging
- Journals
- IEEE Transactions on Biomedical Engineering (4 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)Medical Physics (3 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Greg Slabaugh
137 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Computer Vision and Pattern Recognition 1.9k
- Computer Graphics and Computer-Aided Design 262
- Radiology, Nuclear Medicine and Imaging 1.2k
- Artificial Intelligence 1.2k
- Media Technology 267
Countries citing papers authored by Greg Slabaugh
This map shows the geographic impact of Greg Slabaugh'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 Greg Slabaugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Slabaugh more than expected).
Fields of papers citing papers by Greg Slabaugh
This network shows the impact of papers produced by Greg Slabaugh. 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 Greg Slabaugh. The network helps show where Greg Slabaugh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Greg Slabaugh, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 11 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 47 | |
| 13 | 2021 | 19 | |
| 14 | DIFAR: Deep Image Formation and Retouching | 2019 | 1 |
| 15 | Continual learning: A comparative study on how to defy forgetting in classification tasks. | 2019 | 81 |
| 16 | DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstructionbreakdown → | 2017 | 674 |
| 17 | Accuracy and interpretability trade-offs in machine learning applied to safer gambling | 2016 | 11 |
| 18 | Hough Forest-based Corner Detection for Cervical Spine Radiographs | 2015 | 5 |
| 19 | Photometric Stereo Reconstruction for Surface Analysis of Mucosal Tissue. | 2014 | 2 |
| 20 | 2010 | 1 |
About Greg Slabaugh
Greg Slabaugh is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 145 papers that have together received 4.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (35 papers), Advanced Vision and Imaging (21 papers), Colorectal Cancer Screening and Detection (14 papers), Advanced Image Processing Techniques (14 papers), Image and Signal Denoising Methods (12 papers), Computer Graphics and Visualization Techniques (10 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Image Enhancement Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Computer Graphics and Computer-Aided Design (262 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations), Artificial Intelligence (1.2k citations) and Media Technology (267 citations). Greg Slabaugh has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Aleš Leonardis, Gözde Ünal, Xujiong Ye, Sarah Parisot, Rahaf Aljundi, Tinne Tuytelaars, Marc Masana, Xu Jia, Tong Fang and Guang Yang. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence, Medical Physics, IEEE Signal Processing Magazine and Computer-Aided Design.
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.