Christoph Baur

1.6k total citations · 1 hit paper
8 papers, 458 citations indexed

About

Christoph Baur is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Christoph Baur has authored 8 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Christoph Baur's work include Anomaly Detection Techniques and Applications (3 papers), Medical Image Segmentation Techniques (2 papers) and COVID-19 diagnosis using AI (2 papers). Christoph Baur is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Medical Image Segmentation Techniques (2 papers) and COVID-19 diagnosis using AI (2 papers). Christoph Baur collaborates with scholars based in Germany, United States and Switzerland. Christoph Baur's co-authors include Nassir Navab, Shadi Albarqouni, Vasileios Belagiannis, Stefanie Demirci, Felix Achilles, Benedikt Wiestler, Claus Zimmer, Fausto Milletarì, Benedikt Huber and Pascal Fallavollita and has published in prestigious journals such as IEEE Transactions on Medical Imaging, International Journal of Computer Assisted Radiology and Surgery and Radiology Artificial Intelligence.

In The Last Decade

Christoph Baur

8 papers receiving 443 citations

Hit Papers

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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.

AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images

2016 401 citations Shadi Albarqouni, Christoph Baur et al. IEEE Transactions on Medical Imaging profile →

Peers

Countries citing papers authored by Christoph Baur

Since Specialization

Citations

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

Fields of papers citing papers by Christoph Baur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Baur

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

All Works

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8 of 8 papers shown

#	Work	Indexed citations
1	Generating and Using Synthetic Data for Machine Learning in Personnel Security Screening Scenarios 2023 ·(unknown), Christoph Baur, Benedikt Huber	2
2	Modeling Healthy Anatomy with Artificial Intelligence for Unsupervised Anomaly Detection in Brain MRI 2021 ·Radiology Artificial Intelligence ·Christoph Baur, Benedikt Wiestler, (unknown), Claus Zimmer, Nassir Navab, Shadi Albarqouni	27
3	Bayesian Skip-Autoencoders for Unsupervised Hyperintense Anomaly Detection in High Resolution Brain Mri 2020 ·Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab	9
4	Robust navigation support in lowest dose image setting 2018 ·International Journal of Computer Assisted Radiology and Surgery ·(unknown), Félix Bourier, Christoph Baur, Fausto Milletarì, Nassir Navab, Stefanie Demirci	1
5	Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation 2018 ·Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab	9
6	Auxiliary Manifold Embedding for Fully Convolutional Networks. 2017 ·arXiv (Cornell University) ·Christoph Baur, Shadi Albarqouni, Nassir Navab	2
7	AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images breakdown → 2016 ·IEEE Transactions on Medical Imaging ·Shadi Albarqouni, Christoph Baur, Felix Achilles, Vasileios Belagiannis, Stefanie Demirci, Nassir Navab	401
8	Automatic 3D reconstruction of electrophysiology catheters from two-view monoplane C-arm image sequences 2015 ·International Journal of Computer Assisted Radiology and Surgery ·Christoph Baur, Fausto Milletarì, Vasileios Belagiannis, Nassir Navab, Pascal Fallavollita	7

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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