Martin Bergtholdt

439 total citations
17 papers, 262 citations indexed

About

Martin Bergtholdt is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Martin Bergtholdt has authored 17 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Martin Bergtholdt's work include Medical Image Segmentation Techniques (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Martin Bergtholdt is often cited by papers focused on Medical Image Segmentation Techniques (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Martin Bergtholdt collaborates with scholars based in Germany, United States and Finland. Martin Bergtholdt's co-authors include Christoph Schnörr, Stefan Schmidt, Jörg Hendrik Kappes, Rafael Wiemker, Vladimír Pekar, Sebastian P. M. Dries, Tobias Klinder, Ingwer C. Carlsen, Thomas Bülow and Ekta Dharaiya and has published in prestigious journals such as International Journal of Computer Vision, Neurobiology of Aging and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Martin Bergtholdt

16 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Bergtholdt Germany 7 109 104 66 57 54 17 262
André Mastmeyer Germany 10 207 1.9× 106 1.0× 110 1.7× 98 1.7× 31 0.6× 22 367
Yunliang Cai United States 8 134 1.2× 58 0.6× 64 1.0× 72 1.3× 72 1.3× 20 290
Max W. K. Law Hong Kong 10 96 0.9× 162 1.6× 121 1.8× 35 0.6× 39 0.7× 17 310
Félix Paulano‐Godino Spain 7 119 1.1× 45 0.4× 128 1.9× 85 1.5× 19 0.4× 19 329
Marko Rak Germany 10 124 1.1× 89 0.9× 95 1.4× 45 0.8× 34 0.6× 21 246
Shumao Pang China 11 237 2.2× 98 0.9× 86 1.3× 102 1.8× 142 2.6× 21 373
Ashley Mercado Canada 4 110 1.0× 56 0.5× 84 1.3× 63 1.1× 50 0.9× 8 314
Sascha Seifert Germany 8 132 1.2× 110 1.1× 68 1.0× 60 1.1× 38 0.7× 19 301
Fuk Tang Hong Kong 10 98 0.9× 40 0.4× 118 1.8× 38 0.7× 37 0.7× 33 313
Mingyu Kim South Korea 7 105 1.0× 53 0.5× 184 2.8× 32 0.6× 16 0.3× 14 372

Countries citing papers authored by Martin Bergtholdt

Since Specialization
Citations

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

Fields of papers citing papers by Martin Bergtholdt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Bergtholdt

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

All Works

17 of 17 papers shown
1.
Deshpande, Hrishikesh, et al.. (2020). Deep Learning Based Segmentation of Body Parts in CT Localizers and Application to Scan Planning. abs 1505 4597. 1130–1133. 2 indexed citations
2.
Vinke, Elisabeth J., Wyke Huizinga, Martin Bergtholdt, et al.. (2019). Normative brain volumetry derived from different reference populations: impact on single-subject diagnostic assessment in dementia. Neurobiology of Aging. 84. 9–16. 10 indexed citations
3.
Lorenz, Cristian, et al.. (2018). Detection and localization of spatially correlated point landmarks in medical images using an automatically learned conditional random field. Computer Vision and Image Understanding. 176-177. 45–53. 6 indexed citations
4.
Bergtholdt, Martin, Rafael Wiemker, & Tobias Klinder. (2016). Pulmonary nodule detection using a cascaded SVM classifier. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9785. 978513–978513. 22 indexed citations
5.
Franz, Astrid, et al.. (2016). Precise anatomy localization in CT data by an improved probabilistic tissue type atlas. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9784. 978444–978444.
6.
Saalbach, Axel, Martin Bergtholdt, Thomas Netsch, & Julien Sénégas. (2015). Automated anatomy detection in CT localizer images. 2. 1151–1154. 2 indexed citations
7.
Wiemker, Rafael, Lilla Boroczky, Martin Bergtholdt, & Tobias Klinder. (2015). Analysis of the Vancouver lung nodule malignancy model with respect to manual and automated segmentation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9414. 94140B–94140B. 1 indexed citations
8.
Bülow, Thomas, Dominik Kutra, Thomas Netsch, et al.. (2013). Automatic assessment of the quality of patient positioning in mammography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8670. 867024–867024. 2 indexed citations
9.
Wiemker, Rafael, et al.. (2012). A Radial Structure Tensor and Its Use for Shape-Encoding Medical Visualization of Tubular and Nodular Structures. IEEE Transactions on Visualization and Computer Graphics. 19(3). 353–366. 27 indexed citations
10.
Xu, Di, Sheng Xu, Daniel A. Herzka, et al.. (2010). 2D/3D registration for X-ray guided bronchoscopy using distance map classification. PubMed. 24. 3715–3718. 3 indexed citations
11.
Xu, Di, Sheng Xu, Daniel A. Herzka, et al.. (2010). Single-view 2D/3D registation for X-ray guided bronchoscopy. 50. 233–236. 3 indexed citations
12.
Abé, Hiroyuki, et al.. (2010). Multi-modality morphological correlation of axillary lymph nodes. International Journal of Computer Assisted Radiology and Surgery. 5(4). 343–350. 3 indexed citations
13.
Saalbach, Axel, et al.. (2010). Heterogeneity of kinetic curve parameters as indicator for the malignancy of breast lesions in DCE MRI. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7624. 76241H–76241H. 2 indexed citations
14.
Wiemker, Rafael, Martin Bergtholdt, Ekta Dharaiya, Sven Kabus, & Michael Lee. (2009). Agreement of CAD features with expert observer ratings for characterization of pulmonary nodules in CT using the LIDC-IDRI database. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7260. 72600H–72600H. 10 indexed citations
15.
Bergtholdt, Martin, et al.. (2009). Multi-modality computer-aided diagnosis system for axillary lymph node (ALN) staging: segmentation of ALN on ultrasound images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7260. 72602D–72602D. 3 indexed citations
16.
Bergtholdt, Martin, Jörg Hendrik Kappes, Stefan Schmidt, & Christoph Schnörr. (2009). A Study of Parts-Based Object Class Detection Using Complete Graphs. International Journal of Computer Vision. 87(1-2). 93–117. 76 indexed citations
17.
Schmidt, Stefan, Jörg Hendrik Kappes, Martin Bergtholdt, et al.. (2007). Spine Detection and Labeling Using a Parts-Based Graphical Model. Lecture notes in computer science. 20. 122–133. 90 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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