László Ruskó

1.6k total citations
23 papers, 289 citations indexed

About

László Ruskó is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, László Ruskó has authored 23 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Biomedical Engineering. Recurrent topics in László Ruskó's work include Medical Image Segmentation Techniques (12 papers), Medical Imaging Techniques and Applications (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). László Ruskó is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Medical Imaging Techniques and Applications (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). László Ruskó collaborates with scholars based in Hungary, United States and Spain. László Ruskó's co-authors include Márta Fidrich, Gábor Németh, Attila Kuba, Zoltán Kiss, Alain Rahmouni, Antal Nagy, Laurence Baranès, Alain Luciani, Alexis Laurent and Éric Pichon and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, American Journal of Roentgenology and Neurocomputing.

In The Last Decade

László Ruskó

22 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
László Ruskó Hungary 9 168 139 77 65 34 23 289
Grzegorz Chlebus Germany 7 111 0.7× 216 1.6× 120 1.6× 61 0.9× 54 1.6× 9 321
Olivier Dourthe France 4 269 1.6× 127 0.9× 103 1.3× 151 2.3× 44 1.3× 6 411
Baochun He China 11 128 0.8× 193 1.4× 47 0.6× 103 1.6× 80 2.4× 24 352
Mika Pollari Finland 8 55 0.3× 110 0.8× 30 0.4× 102 1.6× 46 1.4× 19 236
Miaofei Han China 11 81 0.5× 347 2.5× 134 1.7× 93 1.4× 10 0.3× 16 481
Ruida Cheng United States 9 94 0.6× 106 0.8× 44 0.6× 143 2.2× 26 0.8× 14 309
Gil-Sun Hong South Korea 10 36 0.2× 149 1.1× 71 0.9× 48 0.7× 36 1.1× 33 279
Rongpin Wang China 9 77 0.5× 278 2.0× 64 0.8× 85 1.3× 9 0.3× 14 382
Michael Püsken Germany 9 38 0.2× 321 2.3× 105 1.4× 119 1.8× 16 0.5× 17 436

Countries citing papers authored by László Ruskó

Since Specialization
Citations

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

Fields of papers citing papers by László Ruskó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of László Ruskó

This figure shows the co-authorship network connecting the top 25 collaborators of László Ruskó. A scholar is included among the top collaborators of László Ruskó 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 László Ruskó. László Ruskó 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.
Ruskó, László, C. Cozzini, Jean-Paul Kleijnen, et al.. (2025). Synthetic CT generation using Zero TE MR for head-and-neck radiotherapy. Radiotherapy and Oncology. 205. 110762–110762. 1 indexed citations
2.
Ruskó, László, et al.. (2022). Magnetic Resonance Imaging–Based Delineation of Organs at Risk in the Head and Neck Region. Advances in Radiation Oncology. 8(2). 101042–101042. 5 indexed citations
5.
Ruskó, László, et al.. (2017). Adaptive Radiation Therapy for High Grade Brain Tumors: Impact on the Dose Distribution and Disease Outcome. International Journal of Radiation Oncology*Biology*Physics. 99(2). E79–E79. 1 indexed citations
6.
Ruskó, László, et al.. (2016). Automatic recognition of anatomical regions in three-dimensional medical images. Computers in Biology and Medicine. 76. 120–133. 1 indexed citations
7.
Ruskó, László, et al.. (2014). Automated Detection of Anatomical Regions in Magnetic Resonance Images. Eurographics. 1 indexed citations
8.
Ruskó, László, et al.. (2013). Virtual volume resection using multi-resolution triangular representation of B-spline surfaces. Computer Methods and Programs in Biomedicine. 111(2). 315–329. 9 indexed citations
9.
Ruskó, László, et al.. (2013). Automated liver lesion detection in CT images based on multi-level geometric features. International Journal of Computer Assisted Radiology and Surgery. 9(4). 577–593. 13 indexed citations
10.
Luciani, Alain, László Ruskó, Laurence Baranès, et al.. (2012). Automated Liver Volumetry in Orthotopic Liver Transplantation Using Multiphase Acquisitions on MDCT. American Journal of Roentgenology. 198(6). W568–W574. 23 indexed citations
11.
Kriston, András, Paulo R. S. Mendonça, Robert G. Paden, et al.. (2011). Liver fat quantification using fast kVp-switching dual energy CT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7962. 79623W–79623W. 2 indexed citations
12.
Ruskó, László, et al.. (2010). Liver segmentation for contrast-enhanced MR images using partitioned probabilistic model. International Journal of Computer Assisted Radiology and Surgery. 6(1). 13–20. 17 indexed citations
13.
Ruskó, László, et al.. (2009). Automatic segmentation of the liver from multi- and single-phase contrast-enhanced CT images. Medical Image Analysis. 13(6). 871–882. 79 indexed citations
14.
Carvalho, Bruno M., Wei Chen, Gábor T. Herman, et al.. (2008). SNARK05: A PROGRAMMING SYSTEM FOR THE RECONSTRUCTION OF 2D IMAGES FROM 1D PROJECTIONS. 7 indexed citations
15.
Kuba, Attila, László Ruskó, Zoltán Kiss, & Antal Nagy. (2005). Discrete Reconstruction Techniques. Electronic Notes in Discrete Mathematics. 20. 385–398.
16.
Balaskó, M., et al.. (2005). Neutron-, gamma- and X-ray three-dimensional computed tomography at the Budapest research reactor site. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 542(1-3). 22–27. 12 indexed citations
17.
Kuba, Attila, et al.. (2005). Preliminary studies of discrete tomography in neutron imaging. IEEE Transactions on Nuclear Science. 52(1). 380–385. 9 indexed citations
18.
Kuba, Attila, et al.. (2005). Discrete tomography in neutron radiography. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 542(1-3). 376–382. 8 indexed citations
19.
Ruskó, László & Attila Kuba. (2005). Multi-resolution method for binary tomography. Electronic Notes in Discrete Mathematics. 20. 299–311. 7 indexed citations
20.
Sorantin, Erich, G. Werkgartner, Emese Balogh, et al.. (2002). Virtual Dissection and Automated Polyp Detection of the Colon Based on Spiral CT - Techniques and Preliminary Experience on a Cadaveric Phantom. European surgery. Supplement/European surgery. 34(2). 143–149. 4 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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