Marcel Prastawa

10.5k total citations
49 papers, 2.2k citations indexed

About

Marcel Prastawa is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Marcel Prastawa has authored 49 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 26 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Marcel Prastawa's work include Medical Image Segmentation Techniques (25 papers), Advanced Neuroimaging Techniques and Applications (16 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Marcel Prastawa is often cited by papers focused on Medical Image Segmentation Techniques (25 papers), Advanced Neuroimaging Techniques and Applications (16 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Marcel Prastawa collaborates with scholars based in United States, France and Australia. Marcel Prastawa's co-authors include Guido Gerig, John H. Gilmore, Weili Lin, Elizabeth Bullitt, Sarang Joshi, Stanley Durrleman, Christopher B. Looney, J. Keith Smith, Rebecca Knickmeyer and Jeffrey A. Lieberman and has published in prestigious journals such as Journal of Neuroscience, Journal of the American College of Cardiology and NeuroImage.

In The Last Decade

Marcel Prastawa

48 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marcel Prastawa United States 18 913 775 465 432 345 49 2.2k
Kilian M. Pohl United States 32 908 1.0× 1.1k 1.4× 268 0.6× 382 0.9× 887 2.6× 169 3.3k
İpek Oğuz United States 24 540 0.6× 886 1.1× 387 0.8× 221 0.5× 402 1.2× 118 2.6k
Elizabeth Bullitt United States 29 607 0.7× 717 0.9× 123 0.3× 285 0.7× 287 0.8× 70 3.6k
Hans J. Johnson United States 45 969 1.1× 2.0k 2.6× 283 0.6× 606 1.4× 1.5k 4.4× 149 8.5k
T.M. Peters Canada 24 1.0k 1.1× 1.5k 2.0× 445 1.0× 163 0.4× 652 1.9× 89 4.0k
Meritxell Bach Cuadra Switzerland 28 660 0.7× 1.4k 1.9× 350 0.8× 314 0.7× 962 2.8× 145 3.4k
Stanley Durrleman France 26 546 0.6× 531 0.7× 87 0.2× 372 0.9× 334 1.0× 98 2.4k
M GROSSMAN United States 5 845 0.9× 1.6k 2.0× 293 0.6× 332 0.8× 1.3k 3.9× 9 3.7k
Yangming Ou United States 24 578 0.6× 1.1k 1.4× 338 0.7× 293 0.7× 463 1.3× 95 2.5k
Mirza Faisal Beg Canada 37 1.2k 1.3× 2.1k 2.7× 328 0.7× 467 1.1× 770 2.2× 172 5.1k

Countries citing papers authored by Marcel Prastawa

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Prastawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcel Prastawa

This figure shows the co-authorship network connecting the top 25 collaborators of Marcel Prastawa. A scholar is included among the top collaborators of Marcel Prastawa 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 Marcel Prastawa. Marcel Prastawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fernández, Gerardo, Jack Zeineh, Marcel Prastawa, et al.. (2023). Analytical Validation of the PreciseDx Digital Prognostic Breast Cancer Test in Early-Stage Breast Cancer. Clinical Breast Cancer. 24(2). 93–102.e6. 2 indexed citations
2.
Fernández, Gerardo, Marcel Prastawa, Bahram Marami, et al.. (2022). Development and validation of an AI-enabled digital breast cancer assay to predict early-stage breast cancer recurrence within 6 years. Breast Cancer Research. 24(1). 93–93. 14 indexed citations
3.
McKenzie, Andrew, Russell W. Hanson, Kristen Whitney, et al.. (2022). Artificial intelligence-derived neurofibrillary tangle burden is associated with antemortem cognitive impairment. Acta Neuropathologica Communications. 10(1). 157–157. 24 indexed citations
4.
Young, Robert J., Ek T. Tan, Kyung K. Peck, et al.. (2016). Comparison of compressed sensing diffusion spectrum imaging and diffusion tensor imaging in patients with intracranial masses. Magnetic Resonance Imaging. 36. 24–31. 8 indexed citations
5.
Budin, François, Marcel Prastawa, Guido Gerig, et al.. (2015). Automatic tissue segmentation of neonate brain MR Images with subject-specific atlases. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9413. 941311–941311. 24 indexed citations
6.
Gao, Yang, Marcel Prastawa, Martin Styner, Joseph Piven, & Guido Gerig. (2014). A joint framework for 4D segmentation and estimation of smooth temporal appearance changes. PubMed. 2014. 1291–1294. 3 indexed citations
7.
Prastawa, Marcel, et al.. (2013). Geodesic Image Regression with a Sparse Parameterization of Diffeomorphisms. Lecture notes in computer science. 8085. 95–102. 4 indexed citations
8.
Wang, Bo, Marcel Prastawa, Andrei Irimia, et al.. (2013). Analyzing imaging biomarkers for traumatic brain injury using 4d modeling of longitudinal MRI. PubMed. 25. 1392–1395. 5 indexed citations
9.
Prastawa, Marcel, Andrei Irimia, Micah C. Chambers, et al.. (2012). A patient-specific segmentation framework for longitudinal MR images of traumatic brain injury. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8314. 831402–831402. 9 indexed citations
10.
Sadeghi, Neda, Marcel Prastawa, P. Thomas Fletcher, et al.. (2012). Statistical growth modeling of longitudinal DT-MRI for regional characterization of early brain development. PubMed. 52. 1507–1510. 4 indexed citations
11.
Irimia, Andrei, Bo Wang, Stephen Aylward, et al.. (2012). Neuroimaging of structural pathology and connectomics in traumatic brain injury: Toward personalized outcome prediction. NeuroImage Clinical. 1(1). 1–17. 83 indexed citations
12.
Durrleman, Stanley, Marcel Prastawa, Julie R. Korenberg, et al.. (2012). Topology Preserving Atlas Construction from Shape Data without Correspondence Using Sparse Parameters. Lecture notes in computer science. 15(Pt 3). 223–230. 27 indexed citations
13.
Sadeghi, Neda, Marcel Prastawa, P. Thomas Fletcher, et al.. (2012). Regional characterization of longitudinal DT-MRI to study white matter maturation of the early developing brain. NeuroImage. 68. 236–247. 70 indexed citations
14.
McGann, Christopher, Eugene Kholmovski, Joshua Blauer, et al.. (2011). Dark Regions of No-Reflow on Late Gadolinium Enhancement Magnetic Resonance Imaging Result in Scar Formation After Atrial Fibrillation Ablation. Journal of the American College of Cardiology. 58(2). 177–185. 78 indexed citations
15.
Prastawa, Marcel, et al.. (2010). Spatio-temporal analysis of early brain development. PubMed. 40. 777–781. 4 indexed citations
16.
Gouttard, Sylvain, Marcel Prastawa, Elizabeth Bullitt, et al.. (2009). Constrained Data Decomposition and Regression for Analyzing Healthy Aging from Fiber Tract Diffusion Properties. Lecture notes in computer science. 12(Pt 1). 321–328. 4 indexed citations
17.
Mortamet, Bénédicte, Donglin Zeng, Guido Gerig, Marcel Prastawa, & Elizabeth Bullitt. (2005). Effects of Healthy Aging Measured By Intracranial Compartment Volumes Using a Designed MR Brain Database. Lecture notes in computer science. 8(Pt 1). 383–391. 35 indexed citations
18.
Prastawa, Marcel, Elizabeth Bullitt, & Guido Gerig. (2005). Synthetic Ground Truth for Validation of Brain Tumor MRI Segmentation. Lecture notes in computer science. 8(Pt 1). 26–33. 21 indexed citations
19.
Lorenzen, Peter, Marcel Prastawa, Brad Davis, et al.. (2005). Multi-modal image set registration and atlas formation. Medical Image Analysis. 10(3). 440–451. 87 indexed citations
20.
Prastawa, Marcel, et al.. (2003). Automatic brain tumor segmentation by subject specific modification of atlas priors1. Academic Radiology. 10(12). 1341–1348. 159 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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