Martin Segeroth

1.5k total citations · 2 hit papers
11 papers, 516 citations indexed

About

Martin Segeroth is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Martin Segeroth has authored 11 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Biomedical Engineering and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Martin Segeroth's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Cardiac Imaging and Diagnostics (4 papers) and Advanced X-ray and CT Imaging (3 papers). Martin Segeroth is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Cardiac Imaging and Diagnostics (4 papers) and Advanced X-ray and CT Imaging (3 papers). Martin Segeroth collaborates with scholars based in Switzerland, Chile and Germany. Martin Segeroth's co-authors include Shan Yang, Hanns‐Christian Breit, Joshy Cyriac, Alexander Sauter, Jakob Wasserthal, Maurice Pradella, Daniel T. Boll, Michael Bach, Tobias Heye and Jens Bremerich and has published in prestigious journals such as Radiology, European Journal of Radiology and European Heart Journal - Cardiovascular Imaging.

In The Last Decade

Martin Segeroth

8 papers receiving 509 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.

TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images

2023 465 citations Jakob Wasserthal, Hanns‐Christian Breit et al. Radiology Artificial Intelligence profile →
TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI

2025 26 citations Tugba Akinci D’Antonoli, Matthias Jung et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Segeroth Switzerland	5	337	180	84	78	68	11	516
Maurice Pradella Switzerland	8	357 1.1×	178 1.0×	125 1.5×	72 0.9×	65 1.0×	32	622
Hanns‐Christian Breit Switzerland	11	541 1.6×	278 1.5×	133 1.6×	82 1.1×	93 1.4×	41	797
Xiangfei Chai China	13	269 0.8×	120 0.7×	164 2.0×	76 1.0×	95 1.4×	19	542
Joshy Cyriac Switzerland	11	496 1.5×	271 1.5×	131 1.6×	83 1.1×	95 1.4×	22	789
Tomas Sakinis Norway	7	265 0.8×	92 0.5×	52 0.6×	68 0.9×	103 1.5×	10	499
Tobias Hepp Germany	12	263 0.8×	86 0.5×	69 0.8×	54 0.7×	89 1.3×	26	405
Max Schöbinger Germany	8	294 0.9×	160 0.9×	100 1.2×	127 1.6×	41 0.6×	12	577
Petro Kostandy United States	7	218 0.6×	106 0.6×	36 0.4×	54 0.7×	66 1.0×	8	446
Michael Püsken Germany	9	321 1.0×	119 0.7×	100 1.2×	38 0.5×	105 1.5×	17	436
Johannes Ulén Sweden	13	330 1.0×	127 0.7×	183 2.2×	24 0.3×	51 0.8×	29	467

Countries citing papers authored by Martin Segeroth

Since Specialization

Citations

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

Fields of papers citing papers by Martin Segeroth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Segeroth

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Segeroth. A scholar is included among the top collaborators of Martin Segeroth 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 Segeroth. Martin Segeroth 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:

11 of 11 papers shown

Wasserthal, Jakob, Martin Segeroth, Shan Yang, et al.. (2025). Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI. Journal of Imaging Informatics in Medicine. 39(1). 345–354.

D’Antonoli, Tugba Akinci, Matthias Jung, Alexander Rau, et al.. (2025). TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI. Radiology. 314(2). e241613–e241613. 26 indexed citations breakdown →

Segeroth, Martin, et al.. (2025). Automatic Segmentation of Cardiovascular Structures on Chest CT Data Sets: An Update of the TotalSegmentator. European Journal of Radiology. 185. 112006–112006. 2 indexed citations

Bach, Michael, Jakob Wasserthal, Martin Segeroth, et al.. (2025). Liver Segment and Lesion Segmentation on CT and MRI: An Open-Source Contribution to TotalSegmentator. Journal of Imaging Informatics in Medicine.

Wasserthal, Jakob, Jan Vosshenrich, Shan Yang, et al.. (2024). Intra-Individual Reproducibility of Automated Abdominal Organ Segmentation—Performance of TotalSegmentator Compared to Human Readers and an Independent nnU-Net Model. Journal of Imaging Informatics in Medicine. 38(3). 1617–1627. 1 indexed citations

Segeroth, Martin, David Winkel, Jan Vosshenrich, et al.. (2024). Cardiac Cine MRI Using a Commercially Available 0.55-T Scanner. Radiology Cardiothoracic Imaging. 6(4). e230331–e230331. 3 indexed citations

Vosshenrich, Jan, et al.. (2024). Quantifying Radiology Residents’ Learning Curves in Report Writing Performance Through Report Comparison and Jaccard Similarity. Radiology. 312(3). e233065–e233065.

Segeroth, Martin, Jonathan I. Sperl, Joshy Cyriac, et al.. (2023). Impact of retraining a deep learning algorithm for improving guideline-compliant aortic diameter measurements on non-gated chest CT. European Journal of Radiology. 168. 111093–111093. 4 indexed citations

Segeroth, Martin, David Winkel, Ivo Strebel, et al.. (2023). Pulmonary transit time of cardiovascular magnetic resonance perfusion scans for quantification of cardiopulmonary haemodynamics. European Heart Journal - Cardiovascular Imaging. 24(8). 1062–1071. 4 indexed citations

10.

Wasserthal, Jakob, Hanns‐Christian Breit, Maurice Pradella, et al.. (2023). TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images. Radiology Artificial Intelligence. 5(5). 465 indexed citations breakdown →

11.

Yang, Shan, Thomas Weikert, Jens Bremerich, et al.. (2022). Automated Detection, Segmentation, and Classification of Pericardial Effusions on Chest CT Using a Deep Convolutional Neural Network. Diagnostics. 12(5). 1045–1045. 11 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.

Explore authors with similar magnitude of impact