Constantin Seibold

695 total citations · 1 hit paper
22 papers, 258 citations indexed

About

Constantin Seibold is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Constantin Seibold has authored 22 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Constantin Seibold's work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (5 papers) and Advanced Neural Network Applications (5 papers). Constantin Seibold is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (5 papers) and Advanced Neural Network Applications (5 papers). Constantin Seibold collaborates with scholars based in Germany, United States and Canada. Constantin Seibold's co-authors include Rainer Stiefelhagen, Jens Kleesiek, Simon Reiß, Alexander Freytag, Erik Rodner, Julius Keyl, Jan Egger, Barbara T. Grünwald, Giulia Baldini and Selma Ugurel and has published in prestigious journals such as Radiology, Medical Image Analysis and European Radiology.

In The Last Decade

Constantin Seibold

18 papers receiving 255 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CellViT: Vision Transformers for precise cell segmentation and classification

2024 96 citations Constantin Seibold, Julius Keyl et al. Medical Image Analysis profile →

Peers

Constantin Seibold

CVPR

RNMI

BIOPH

Abin Jose Germany

Aimon Rahman Bangladesh

Zeshan Hussain United States

Rijo Roy Germany

Yanning Zhou China

Ghulam Gilanie Pakistan

Chaoyu Chen China

Qikui Zhu United States

Maria Inês Meyer Belgium

Khin Yadanar Win Thailand

Abin Jose Germany

Constantin Seibold

113 ×0.9

CVPR

83 ×0.7

93 ×1.1

RNMI

35 ×0.9

16 ×0.6

BIOPH

Citations per year, relative to Constantin Seibold Constantin Seibold (= 1×) peers Abin Jose

Countries citing papers authored by Constantin Seibold

Since Specialization

Citations

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

Fields of papers citing papers by Constantin Seibold

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Constantin Seibold

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Seibold, Constantin, et al.. (2025). Fine-Grained Classification of Pressure Ulcers and Incontinence-Associated Dermatitis Using Multimodal Deep Learning: Algorithm Development and Validation Study. PubMed. 4. e67356–e67356.

Seibold, Constantin, et al.. (2025). De-identification of medical imaging data: a comprehensive tool for ensuring patient privacy. European Radiology. 35(12). 7809–7818. 1 indexed citations

Kim, Moon, Johannes Haubold, René Hosch, et al.. (2025). Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries. Computer Methods and Programs in Biomedicine. 261. 108634–108634. 1 indexed citations

Seibold, Constantin, et al.. (2025). Three-Dimensional Quantification of Macular OCT Alterations Improves the Diagnostic Performance of Artificial Intelligence Models. Translational Vision Science & Technology. 14(7). 8–8.

Seibold, Constantin, Julius Keyl, Giulia Baldini, et al.. (2024). CellViT: Vision Transformers for precise cell segmentation and classification. Medical Image Analysis. 94. 103143–103143. 96 indexed citations breakdown →

Dada, Amin, et al.. (2024). IKIM at MEDIQA-M3G 2024: Multilingual Visual Question-Answering for Dermatology through VLM Fine-tuning and LLM Translations. 439–447.

Seibold, Constantin, et al.. (2024). Towards Unifying Anatomy Segmentation: Automated Generation of a Full-Body CT Dataset. 41–47. 3 indexed citations

Seibold, Constantin, Julius Keyl, Saskia Ting, et al.. (2023). Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathology. Computerized Medical Imaging and Graphics. 107. 102238–102238. 6 indexed citations

Blanc‐Durand, Paul, Andrei Gafita, David Kersting, et al.. (2023). Is There a Role of Artificial Intelligence in Preclinical Imaging?. Seminars in Nuclear Medicine. 53(5). 687–693. 3 indexed citations

10.

Reiß, Simon, Constantin Seibold, Alexander Freytag, Erik Rodner, & Rainer Stiefelhagen. (2023). Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains. 15495–15506. 4 indexed citations

11.

Kim, Moon, et al.. (2023). Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images Based on Physiological and Anatomical Cues. 1–5. 4 indexed citations

12.

Sarfraz, M. Saquib, et al.. (2022). Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 336–345. 7 indexed citations

13.

Roitberg, Alina, et al.. (2022). A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding. 2022 IEEE Intelligent Vehicles Symposium (IV). 1438–1444. 8 indexed citations

14.

Seibold, Constantin, et al.. (2022). Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data. 2022 26th International Conference on Pattern Recognition (ICPR). 1607–1613. 1 indexed citations

15.

Seibold, Constantin, Simon Reiß, Jens Kleesiek, & Rainer Stiefelhagen. (2022). Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 36(2). 2171–2179. 41 indexed citations

16.

Fink, Matthias A., Constantin Seibold, Rainer Stiefelhagen, et al.. (2021). CT Angiography Clot Burden Score from Data Mining of Structured Reports for Pulmonary Embolism. Radiology. 302(1). 175–184. 12 indexed citations

17.

Chen, Chang, Xinyu Luo, Jiaming Zhang, et al.. (2021). Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation. 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO). 9 indexed citations

18.

Seibold, Constantin, et al.. (2021). Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation. 9527–9537. 52 indexed citations

19.

Wang, Qing, et al.. (2021). Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction. 2021 29th European Signal Processing Conference (EUSIPCO). 776–780. 4 indexed citations

20.

Sarfraz, M. Saquib, et al.. (2019). Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss. arXiv (Cornell University). 287. 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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