Adrian V. Dalca
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
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- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
Papers in
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- Medical Image Segmentation Techniques 30
- Advanced Neural Network Applications 15
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- Advanced MRI Techniques and Applications 11
- Radiomics and Machine Learning in Medical Imaging 9
- Advanced Neuroimaging Techniques and Applications 8
- Medical Imaging Techniques and Applications 7
- Co-authors
- Mert R. Sabuncu (19 shared papers)Guha Balakrishnan (5 shared papers)John V. Guttag (11 shared papers)Amy Zhao (3 shared papers)Michael Brudno (4 shared papers)Stephen M. Rumble (2 shared papers)John Guttag (3 shared papers)Marc Fiume (1 shared paper)
- Journals
- Medical Image Analysis (6 papers)NeuroImage (5 papers)IEEE Transactions on Computational Imaging (3 papers)Lecture notes in computer science (24 papers)IEEE Transactions on Medical Imaging (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Adrian V. Dalca
74 papers receiving 3.3k citations
Adrian V. Dalca's Hit Papers
Peers
Comparison fields: 5 of 157
- Computer Vision and Pattern Recognition 1.3k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Health Informatics 53
- Neurology 223
- Artificial Intelligence 556
Countries citing papers authored by Adrian V. Dalca
This map shows the geographic impact of Adrian V. Dalca'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 Adrian V. Dalca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian V. Dalca more than expected).
Fields of papers citing papers by Adrian V. Dalca
This network shows the impact of papers produced by Adrian V. Dalca. 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 Adrian V. Dalca. The network helps show where Adrian V. Dalca may publish in the future.
Co-authors
The 25 scholars most cited alongside Adrian V. Dalca, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | VoxelMorph: A Learning Framework for Deformable Medical Image Registration Hit paper breakdown → | 2019 | 550 |
| 2 | 2009 | 444 | |
| 3 | Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation Hit paper breakdown → | 2019 | 315 |
| 4 | Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces Hit paper breakdown → | 2019 | 297 |
| 5 | SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining Hit paper breakdown → | 2023 | 263 |
| 6 | 2018 | 258 | |
| 7 | 2020 | 124 | |
| 8 | 2023 | 94 | |
| 9 | 2020 | 89 | |
| 10 | 2021 | 59 | |
| 11 | 2010 | 53 | |
| 12 | 2013 | 51 | |
| 13 | 2021 | 51 | |
| 14 | 2019 | 48 | |
| 15 | 2021 | 39 | |
| 16 | 2017 | 38 | |
| 17 | 2020 | 36 | |
| 18 | 2020 | 34 | |
| 19 | 2018 | 31 | |
| 20 | 2016 | 27 |
About Adrian V. Dalca
Adrian V. Dalca is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Epidemiology and Biomedical Engineering, having authored 81 papers that have together received 3.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (30 papers), Advanced Neural Network Applications (15 papers), Advanced MRI Techniques and Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Medical Imaging Techniques and Applications (7 papers), Sparse and Compressive Sensing Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Health Informatics (53 citations), Neurology (223 citations) and Artificial Intelligence (556 citations). Adrian V. Dalca has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mert R. Sabuncu, Guha Balakrishnan, John V. Guttag, Amy Zhao, Michael Brudno, Stephen M. Rumble, John Guttag, Marc Fiume, Phil Lacroute and Arend Sidow. Their work appears in journals such as Medical Image Analysis, NeuroImage, IEEE Transactions on Computational Imaging, Lecture notes in computer science and IEEE Transactions on Medical 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.