Thomas Tolxdorff

1.1k total citations
87 papers, 675 citations indexed

About

Thomas Tolxdorff is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Thomas Tolxdorff has authored 87 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Computer Vision and Pattern Recognition and 12 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Thomas Tolxdorff's work include Radiomics and Machine Learning in Medical Imaging (14 papers), Medical Imaging Techniques and Applications (12 papers) and Medical Image Segmentation Techniques (12 papers). Thomas Tolxdorff is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), Medical Imaging Techniques and Applications (12 papers) and Medical Image Segmentation Techniques (12 papers). Thomas Tolxdorff collaborates with scholars based in Germany, United States and Switzerland. Thomas Tolxdorff's co-authors include Johannes Bernarding, Heinz Handels, K. Gersonde, Dagmar Krefting, Jürgen Braun, Thomas M. Deserno, Hans‐Peter Meinzer, B. Ströbel, Mathias Hoehn‐Berlage and Gunther Schadow and has published in prestigious journals such as Annals of the New York Academy of Sciences, Magnetic Resonance in Medicine and BioMed Research International.

In The Last Decade

Thomas Tolxdorff

85 papers receiving 637 citations

Peers

Thomas Tolxdorff
Peter Stanchev United States
W. Dean Bidgood United States
C. Odet France
Donald J. Peck United States
Gregor Urban United States
Hui Han China
Shunxing Bao United States
Peter Shin United States
Peter Stanchev United States
Thomas Tolxdorff
Citations per year, relative to Thomas Tolxdorff Thomas Tolxdorff (= 1×) peers Peter Stanchev

Countries citing papers authored by Thomas Tolxdorff

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Tolxdorff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Tolxdorff

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Tolxdorff. A scholar is included among the top collaborators of Thomas Tolxdorff 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 Thomas Tolxdorff. Thomas Tolxdorff 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.
Krieger, Hans‐Ulrich, Hans Uszkoreit, Feiyu Xu, et al.. (2014). Information Extraction from German Patient Records via Hybrid Parsing and Relation Extraction Strategies. Language Resources and Evaluation. 2043–2048. 5 indexed citations
2.
Schnapauff, Dirk, et al.. (2010). Automatic Liver Segmentation in Contrast-enhanced MRI.. 405–409. 3 indexed citations
3.
Schräder, Thomas, et al.. (2009). Integration of Decentralized Clinical Data in a Data Warehouse. Methods of Information in Medicine. 48(5). 414–418. 4 indexed citations
4.
Tolxdorff, Thomas, et al.. (2008). Bildverarbeitung fr die Medizin 2008: Algorithmen - Systeme - Anwendungen (Informatik aktuell). Springer eBooks. 2 indexed citations
5.
Wichard, Joerg, Henning Cammann, Carsten Stephan, & Thomas Tolxdorff. (2008). Classification Models for Early Detection of Prostate Cancer. BioMed Research International. 2008(1). 218097–218097. 15 indexed citations
6.
Rohr, Karl, et al.. (2005). Automatic Parameter Optimization for De-noising MR Data. Lecture notes in computer science. 8(Pt 2). 320–327. 2 indexed citations
7.
Kunz, H. Russell, et al.. (2003). XML knowledge database of MRI-derived eye models. Computer Methods and Programs in Biomedicine. 73(3). 203–208. 2 indexed citations
8.
Braun, Jürgen, et al.. (2002). Feature-based, Automated Segmentation of Cerebral Infarct Patterns Using T 2- and Diffusion-weighted Imaging. Computer Methods in Biomechanics & Biomedical Engineering. 5(6). 411–420. 5 indexed citations
9.
Braun, Jürgen, S. Seyfert, Johannes Bernarding, et al.. (2001). Volume-selective proton MR spectroscopy for in-vitro quantification of anticonvulsants. Neuroradiology. 43(3). 211–217. 6 indexed citations
10.
Bernarding, Johannes, et al.. (2001). Implementation of a dynamic platform-independent DICOMM-server. Computer Methods and Programs in Biomedicine. 65(1). 71–78. 8 indexed citations
11.
Braun, Jürgen, Gerd Buntkowsky, Johannes Bernarding, Thomas Tolxdorff, & Ingolf Sack. (2001). Simulation and analysis of magnetic resonance elastography wave images using coupled harmonic oscillators and Gaussian local frequency estimation. Magnetic Resonance Imaging. 19(5). 703–713. 45 indexed citations
12.
Bernarding, Johannes, et al.. (2000). Characterization of Stroke Lesions Using a Histogram-Based Data Analysis Including Diffusion- and Perfusion-Weighted Imaging.. 76–80. 1 indexed citations
13.
Bernarding, Johannes, Jürgen Braun, Joachim Hohmann, et al.. (2000). Histogram-based characterization of healthy and ischemic brain tissues using multiparametric MR imaging including apparent diffusion coefficient maps and relaxometry. Magnetic Resonance in Medicine. 43(1). 52–61. 36 indexed citations
14.
Bernarding, Johannes, et al.. (2000). <title>Characterization of stroke lesions using a histogram-based data analysis including diffusion- and perfusion-weighted imaging</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3978. 23–31. 4 indexed citations
15.
Schadow, Gunther, et al.. (1999). Units of Measure in Clinical Information Systems. Journal of the American Medical Informatics Association. 6(2). 151–162. 35 indexed citations
16.
Hoffmeister, Bodo, et al.. (1999). Positioning of the maxilla in orthognathic surgery using intraoperative navigation. International Journal of Oral and Maxillofacial Surgery. 28. 62–62.
17.
Lehmann, Thomas, et al.. (1998). Bildverarbeitung für die Medizin 1998. 5 indexed citations
18.
Gutfinger, Dan, et al.. (1991). <title>Tissue identification in MR images by adaptive cluster analysis</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1445. 288–296. 6 indexed citations
19.
Handels, Heinz & Thomas Tolxdorff. (1990). A new segmentation algorithm for knowledge acquisition in tissue-characterizing magnetic resonance imaging. Journal of Digital Imaging. 3(2). 89–94. 6 indexed citations
20.
Okada, Y., Mathias Hoehn‐Berlage, Kurt H. Bockhorst, Thomas Tolxdorff, & K.‐A. Hossmann. (1990). Magnetic Resonance Imaging and Regional Biochemical Analysis of Experimental Brain Tumours in Cats. PubMed. 51. 128–130. 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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