Csaba Pintér

1.4k total citations
44 papers, 827 citations indexed

About

Csaba Pintér is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Csaba Pintér has authored 44 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Biomedical Engineering and 14 papers in Radiation. Recurrent topics in Csaba Pintér's work include Advanced Radiotherapy Techniques (14 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Dental Implant Techniques and Outcomes (8 papers). Csaba Pintér is often cited by papers focused on Advanced Radiotherapy Techniques (14 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Dental Implant Techniques and Outcomes (8 papers). Csaba Pintér collaborates with scholars based in Canada, United States and Hungary. Csaba Pintér's co-authors include Gábor Fichtinger, András Lassó, Tamás Ungi, Tamas Heffter, Adam Rankin, David A. Jaffray, An Wang, Péter Windisch, Jean‐Christophe Fillion‐Robin and Matthew A. Jolley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Journal of Allergy and Clinical Immunology.

In The Last Decade

Csaba Pintér

43 papers receiving 814 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Csaba Pintér Canada 12 339 318 263 207 179 44 827
Karl Fritscher Austria 16 407 1.2× 325 1.0× 144 0.5× 270 1.3× 128 0.7× 49 890
Sebastian Schäfer United States 21 630 1.9× 573 1.8× 291 1.1× 227 1.1× 276 1.5× 90 1.3k
Johann Hummel Austria 16 322 0.9× 378 1.2× 313 1.2× 184 0.9× 141 0.8× 63 975
Dongshan Fu China 12 393 1.2× 252 0.8× 140 0.5× 206 1.0× 97 0.5× 36 723
Davide Fontanarosa Australia 17 517 1.5× 331 1.0× 162 0.6× 376 1.8× 338 1.9× 85 989
P. Meyer France 16 394 1.2× 135 0.4× 286 1.1× 242 1.2× 229 1.3× 65 965
David Lindisch United States 12 189 0.6× 285 0.9× 349 1.3× 153 0.7× 172 1.0× 25 728
Thierry Cresson Canada 12 403 1.2× 278 0.9× 280 1.1× 159 0.8× 44 0.2× 42 793
Marijn van Stralen Netherlands 21 626 1.8× 353 1.1× 618 2.3× 116 0.6× 94 0.5× 98 1.5k
Emmanuel Wilson United States 14 179 0.5× 440 1.4× 309 1.2× 94 0.5× 133 0.7× 37 892

Countries citing papers authored by Csaba Pintér

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Pintér

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Csaba Pintér

This figure shows the co-authorship network connecting the top 25 collaborators of Csaba Pintér. A scholar is included among the top collaborators of Csaba Pintér 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 Csaba Pintér. Csaba Pintér 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.
Molnár, Bálint, et al.. (2025). Automatic deep learning segmentation of mandibular periodontal bone topography on cone-beam computed tomography images. Journal of Dentistry. 159. 105813–105813. 2 indexed citations
2.
Barak‐Corren, Yuval, Csaba Pintér, Trevor Williams, et al.. (2025). Quantitative Analysis of 3D Anatomy to Inform Planning of Ductal Arteriosus Stenting. Catheterization and Cardiovascular Interventions. 105(7). 1730–1739.
3.
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5.
Pintér, Csaba, et al.. (2022). Virtual planning and volumetric evaluation of wound healing following regenerative surgical treatment of intrabony periodontal defects. Journal of Dentistry. 121. 104017–104017. 2 indexed citations
6.
Lassó, András, Steve Pieper, Simon Drouin, et al.. (2022). SlicerHeart: An open-source computing platform for cardiac image analysis and modeling. Frontiers in Cardiovascular Medicine. 9. 886549–886549. 22 indexed citations
7.
Molnár, Bálint, et al.. (2021). Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures. Journal of Visualized Experiments. 11 indexed citations
8.
Lassó, András, Csaba Pintér, Christopher E. Mascio, et al.. (2021). Modeling Tool for Rapid Virtual Planning of the Intracardiac Baffle in Double-Outlet Right Ventricle. The Annals of Thoracic Surgery. 111(6). 2078–2083. 16 indexed citations
9.
Lassó, András, Csaba Pintér, Tiffany Chen, et al.. (2021). Simulation of Delivery of Clip-Based Therapies Within Multimodality Images to Facilitate Preprocedural Planning. Journal of the American Society of Echocardiography. 34(10). 1111–1114. 5 indexed citations
10.
Brastianos, Harry C., et al.. (2021). Automated catheter segmentation using 3D ultrasound images in high-dose-rate prostate brachytherapy. 32–32. 1 indexed citations
11.
Pintér, Csaba, András Lassó, Jean‐Christophe Fillion‐Robin, et al.. (2020). SlicerVR for Medical Intervention Training and Planning in Immersive Virtual Reality. IEEE Transactions on Medical Robotics and Bionics. 2(2). 108–117. 35 indexed citations
12.
Pintér, Csaba, András Lassó, & Gábor Fichtinger. (2019). Polymorph segmentation representation for medical image computing. Computer Methods and Programs in Biomedicine. 171. 19–26. 68 indexed citations
13.
Pintér, Csaba, et al.. (2018). Streamlined open-source gel dosimetry analysis in 3D slicer. Biomedical Physics & Engineering Express. 4(4). 45041–45041. 10 indexed citations
14.
Poulin, Éric, Csaba Pintér, Samuel Kadoury, et al.. (2018). Validation of MRI to TRUS registration for high-dose-rate prostate brachytherapy. Brachytherapy. 17(2). 283–290. 14 indexed citations
15.
Fillion‐Robin, Jean‐Christophe, Michael D. Onken, Jörg Riesmeier, et al.. (2017). dcmqi : An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM. Cancer Research. 77(21). e87–e90. 28 indexed citations
16.
Moult, Eric M., András Lassó, Tamás Ungi, et al.. (2017). Improved Temporal Calibration of Tracked Ultrasound: An Open-Source Solution. 2(4). 1750008–1750008. 2 indexed citations
17.
Lassó, András, et al.. (2013). Open-source surface mesh-based ultrasound-guided spinal intervention simulator. International Journal of Computer Assisted Radiology and Surgery. 8(6). 1043–1051. 16 indexed citations
18.
Ungi, Tamás, Eric M. Moult, András Lassó, et al.. (2012). Perk Tutor: An Open-Source Training Platform for Ultrasound-Guided Needle Insertions. IEEE Transactions on Biomedical Engineering. 59(12). 3475–3481. 45 indexed citations
19.
Pintér, Csaba, András Lassó, An Wang, David A. Jaffray, & Gábor Fichtinger. (2012). SlicerRT: Radiation therapy research toolkit for 3D Slicer. Medical Physics. 39(10). 6332–6338. 180 indexed citations
20.
Heffter, Tamas, András Lassó, Csaba Pintér, et al.. (2011). Automated intraoperative calibration for prostate cancer brachytherapy. Medical Physics. 38(11). 6285–6299. 3 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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