Marius Erdt

1.2k total citations
52 papers, 638 citations indexed

About

Marius Erdt is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Marius Erdt has authored 52 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 12 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Biomedical Engineering. Recurrent topics in Marius Erdt's work include Medical Image Segmentation Techniques (17 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and 3D Modeling in Geospatial Applications (7 papers). Marius Erdt is often cited by papers focused on Medical Image Segmentation Techniques (17 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and 3D Modeling in Geospatial Applications (7 papers). Marius Erdt collaborates with scholars based in Singapore, Germany and United States. Marius Erdt's co-authors include Wenting Dai, Alexei Sourin, Abdul Mujeeb, Stefan Wesarg, Matthias Kirschner, Klaus Drechsler, Konstantinos Kafchitsas, M. Fawad Khan, Georgios Sakas and Ihar Volkau and has published in prestigious journals such as IEEE Journal of Biomedical and Health Informatics, Advanced Engineering Informatics and Lecture notes in computer science.

In The Last Decade

Marius Erdt

48 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marius Erdt Singapore 13 258 225 130 102 96 52 638
Hu Su China 14 242 0.9× 198 0.9× 36 0.3× 107 1.0× 102 1.1× 72 638
Yuji Iwahori Japan 15 574 2.2× 102 0.5× 112 0.9× 85 0.8× 178 1.9× 167 973
Changyan Xiao China 13 380 1.5× 216 1.0× 90 0.7× 49 0.5× 32 0.3× 49 629
M. Alper Selver Türkiye 12 232 0.9× 82 0.4× 117 0.9× 61 0.6× 92 1.0× 64 479
Muhammed Fatih Talu Türkiye 15 357 1.4× 270 1.2× 65 0.5× 71 0.7× 120 1.3× 71 803
Qingfeng Li China 12 196 0.8× 101 0.4× 113 0.9× 40 0.4× 152 1.6× 44 522
Usman Habib Pakistan 14 255 1.0× 112 0.5× 83 0.6× 62 0.6× 176 1.8× 49 767
Vincent Christlein Germany 18 553 2.1× 272 1.2× 189 1.5× 195 1.9× 239 2.5× 74 1.3k
Zhengming Chen China 14 167 0.6× 72 0.3× 106 0.8× 54 0.5× 91 0.9× 41 478
Hei Law United States 6 616 2.4× 63 0.3× 68 0.5× 80 0.8× 152 1.6× 10 909

Countries citing papers authored by Marius Erdt

Since Specialization
Citations

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

Fields of papers citing papers by Marius Erdt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marius Erdt

This figure shows the co-authorship network connecting the top 25 collaborators of Marius Erdt. A scholar is included among the top collaborators of Marius Erdt 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 Marius Erdt. Marius Erdt 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.
Erdt, Marius, et al.. (2023). Data privacy protection domain adaptation by roughing and finishing stage. The Visual Computer. 40(2). 471–488. 6 indexed citations
2.
Chen, Yufei, Marius George Linguraru, Raj Shekhar, et al.. (2023). Clinical Image-Based Procedures. Lecture notes in computer science. 1 indexed citations
3.
Erdt, Marius, et al.. (2023). Entropy-driven Adversarial Training For Source-free Medical Image Segmentation. PubMed. 2023. 1–7.
4.
Chen, Kan, et al.. (2022). A Semantics-aware Method for Adding 3D Window Details to Textured LoD2 CityGML Models. Figshare. 63–70. 2 indexed citations
5.
Erdt, Marius, et al.. (2021). Adaptive Transfer Learning To Enhance Domain Transfer In Brain Tumor Segmentation. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1873–1877. 2 indexed citations
6.
Lin, Feng, et al.. (2019). A novel robust kernel principal component analysis for nonlinear statistical shape modeling from erroneous data. Computerized Medical Imaging and Graphics. 77. 101638–101638. 14 indexed citations
7.
8.
Mujeeb, Abdul, Wenting Dai, Marius Erdt, & Alexei Sourin. (2019). One class based feature learning approach for defect detection using deep autoencoders. Advanced Engineering Informatics. 42. 100933–100933. 73 indexed citations
9.
Chen, Kan, et al.. (2019). A Data-driven Approach for Adding Facade Details to Textured LoD2 CityGML Models. DR-NTU (Nanyang Technological University). 294–301. 8 indexed citations
10.
Dai, Wenting, Abdul Mujeeb, Marius Erdt, & Alexei Sourin. (2018). Towards Automatic Optical Inspection of Soldering Defects. DR-NTU (Nanyang Technological University). 375–382. 13 indexed citations
11.
Erdt, Marius, et al.. (2015). Augmented Reality as a Tool to Deliver e-Learning based Blended Content in and out of the Class-room. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
12.
Hammon, Matthias, Alexander Cavallaro, Marius Erdt, et al.. (2013). Model-Based Pancreas Segmentation in Portal Venous Phase Contrast-Enhanced CT Images. Journal of Digital Imaging. 26(6). 1082–1090. 24 indexed citations
13.
Kirschner, Matthias, et al.. (2012). Dual-energy CT-based Assessment of the Trabecular Bone in Vertebrae. Methods of Information in Medicine. 51(5). 398–405. 51 indexed citations
14.
Erdt, Marius, et al.. (2012). Deformable registration of MR images using a hierarchical patch based approach with a normalized metric quality measure. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 7259. 1347–1350. 2 indexed citations
15.
Erdt, Marius, Matthias Kirschner, Klaus Drechsler, et al.. (2011). Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 2076–2082. 23 indexed citations
16.
Erdt, Marius, Matthias Kirschner, & Stefan Wesarg. (2010). Smart manual landmarking of organs. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7623. 76234Y–76234Y. 1 indexed citations
17.
Erdt, Marius, et al.. (2010). Multi-Layer Deformable Models for medical image segmentation. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 2. 1–4.
18.
Erdt, Marius, et al.. (2010). Lymph node segmentation in CT images using a size invariant Mass Spring Model. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 7623. 1–4. 4 indexed citations
19.
Graf, Norbert, Robert G. Belleman, Christine Desmedt, et al.. (2009). ‘In Silico’ Oncology for Clinical Decision Making in the Context of Nephroblastoma. Klinische Pädiatrie. 221(3). 141–149. 12 indexed citations
20.
Erdt, Marius, et al.. (2008). Fuzzy pulmonary vessel segmentation using optimized vessel enhancement filtering. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1 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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