Dana Cobzaş

1.6k total citations
54 papers, 943 citations indexed

About

Dana Cobzaş is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Dana Cobzaş has authored 54 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 15 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Dana Cobzaş's work include Advanced Vision and Imaging (21 papers), Medical Image Segmentation Techniques (13 papers) and Computer Graphics and Visualization Techniques (12 papers). Dana Cobzaş is often cited by papers focused on Advanced Vision and Imaging (21 papers), Medical Image Segmentation Techniques (13 papers) and Computer Graphics and Visualization Techniques (12 papers). Dana Cobzaş collaborates with scholars based in Canada, United States and France. Dana Cobzaş's co-authors include Martin Jägersand, Albert Murtha, Karteek Popuri, Vickie E. Baracos, Alan H. Wilman, Neil Birkbeck, Gregg Blevins, Hongfu Sun, Mark Schmidt and Nina Esfandiari and has published in prestigious journals such as Radiology, IEEE Transactions on Medical Imaging and American Journal of Neuroradiology.

In The Last Decade

Dana Cobzaş

51 papers receiving 899 citations

Peers

Dana Cobzaş

CVPR

RNMI

PHYSI

NEURO

Celina Imielińska United States

Robin Strand Sweden

Olof Enqvist Sweden

Dewey Odhner United States

Christos P. Loizou Cyprus

Xiaokun Liang China

Olivier Commowick France

Martin Lillholm Denmark

Dirk Loeckx Belgium

Antonio de Marvao United Kingdom

Celina Imielińska United States

Dana Cobzaş

419 ×1.2

CVPR

200 ×0.8

RNMI

253 ×1.3

PHYSI

44 ×0.3

NEURO

22 ×0.2

Citations per year, relative to Dana Cobzaş Dana Cobzaş (= 1×) peers Celina Imielińska

Countries citing papers authored by Dana Cobzaş

Since Specialization

Citations

This map shows the geographic impact of Dana Cobzaş'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 Dana Cobzaş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Cobzaş more than expected).

Fields of papers citing papers by Dana Cobzaş

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana Cobzaş. 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 Dana Cobzaş. The network helps show where Dana Cobzaş may publish in the future.

Co-authorship network of co-authors of Dana Cobzaş

This figure shows the co-authorship network connecting the top 25 collaborators of Dana Cobzaş. A scholar is included among the top collaborators of Dana Cobzaş based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dana Cobzaş. Dana Cobzaş is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Miller, Dylan, et al.. (2024). Automatic deep learning segmentation of the hippocampus on high‐resolution diffusion magnetic resonance imaging and its application to the healthy lifespan. NMR in Biomedicine. 37(12). e5227–e5227. 1 indexed citations

Fu, Fangfang, et al.. (2022). Low-Rank Plus Sparse Decomposition of fMRI Data With Application to Alzheimer's Disease. Frontiers in Neuroscience. 16. 826316–826316. 2 indexed citations

Cobzaş, Dana, et al.. (2021). Creative, Interdisciplinary Undergraduate Research: An Educational Cell Biology Video Game Designed by Students for Students. 4(2). 5–14. 1 indexed citations

Cobzaş, Dana, et al.. (2019). Five year iron changes in relapsing-remitting multiple sclerosis deep gray matter compared to healthy controls. Multiple Sclerosis and Related Disorders. 33. 107–115. 23 indexed citations

Zonoobi, Dornoosh, Abhilash Rakkunedeth Hareendranathan, Myles Mabee, et al.. (2018). Developmental Hip Dysplasia Diagnosis at Three-dimensional US: A Multicenter Study. Radiology. 287(3). 1003–1015. 22 indexed citations

Tang, Min, Zichen Zhang, Dana Cobzaş, Martin Jägersand, & Jacob L. Jaremko. (2018). Segmentation-by-detection: A cascade network for volumetric medical image segmentation. 1356–1359. 22 indexed citations

Zhang, Li, Dana Cobzaş, Alan H. Wilman, & Linglong Kong. (2017). Significant Anatomy Detection Through Sparse Classification: A Comparative Study. IEEE Transactions on Medical Imaging. 37(1). 128–137. 4 indexed citations

Fujiwara, Esther, Dana Cobzaş, Hongfu Sun, et al.. (2017). Cognitive Implications of Deep Gray Matter Iron in Multiple Sclerosis. American Journal of Neuroradiology. 38(5). 942–948. 29 indexed citations

Popuri, Karteek, Dana Cobzaş, & Martin Jägersand. (2013). A Variational Formulation for Discrete Registration. Lecture notes in computer science. 16(Pt 3). 187–194. 5 indexed citations

10.

Cobzaş, Dana, et al.. (2011). Tumor invasion margin on the Riemannian space of brain fibers. Medical Image Analysis. 16(2). 361–373. 33 indexed citations

11.

Popuri, Karteek, Dana Cobzaş, Albert Murtha, & Martin Jägersand. (2011). 3D variational brain tumor segmentation using Dirichlet priors on a clustered feature set. International Journal of Computer Assisted Radiology and Surgery. 7(4). 493–506. 51 indexed citations

12.

Cobzaş, Dana, et al.. (2011). Random Walks for Deformable Image Registration. Lecture notes in computer science. 14(Pt 2). 557–565. 11 indexed citations

13.

Birkbeck, Neil, Dana Cobzaş, & Martin Jägersand. (2011). Basis constrained 3D scene flow on a dynamic proxy. 2. 1967–1974. 4 indexed citations

14.

Cobzaş, Dana, et al.. (2010). Stability effects of finite difference methods on a mathematical tumor growth model. 38. 125–132. 10 indexed citations

15.

Cobzaş, Dana, et al.. (2009). Tumor Invasion Margin on the Riemannian Space of Brain Fibers. Lecture notes in computer science. 12(Pt 2). 531–539. 15 indexed citations

16.

Cobzaş, Dana & Mark Schmidt. (2009). Increased discrimination in level set methods with embedded conditional random fields. 2009 IEEE Conference on Computer Vision and Pattern Recognition. b 36. 328–335. 15 indexed citations

17.

Cobzaş, Dana & Martin Jägersand. (2006). Tracking and Predictive Display for a Remote Operated Robot using Uncalibrated Video. 1847–1852. 3 indexed citations

18.

Cobzaş, Dana & Peter Sturm. (2005). 3D SSD Tracking with Estimated 3D Planes. HAL (Le Centre pour la Communication Scientifique Directe). 129–134. 9 indexed citations

19.

Birkbeck, Neil, et al.. (2004). A Quick and Automatic Image Based Modeling and Rendering System. Eurographics. 1 indexed citations

20.

Cobzaş, Dana, et al.. (2002). Dynamic Textures for Image-based Rendering of Fine-Scale 3D Structure and Animation of Non-rigid Motion. Computer Graphics Forum. 21(3). 493–502. 5 indexed citations

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.

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