Lena Maier‐Hein

14.4k total citations · 3 hit papers
171 papers, 4.3k citations indexed

About

Lena Maier‐Hein is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lena Maier‐Hein has authored 171 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Biomedical Engineering, 60 papers in Radiology, Nuclear Medicine and Imaging and 55 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lena Maier‐Hein's work include Surgical Simulation and Training (40 papers), Photoacoustic and Ultrasonic Imaging (35 papers) and Optical Imaging and Spectroscopy Techniques (34 papers). Lena Maier‐Hein is often cited by papers focused on Surgical Simulation and Training (40 papers), Photoacoustic and Ultrasonic Imaging (35 papers) and Optical Imaging and Spectroscopy Techniques (34 papers). Lena Maier‐Hein collaborates with scholars based in Germany, United States and United Kingdom. Lena Maier‐Hein's co-authors include Alfred M. Franz, Alexander Seitel, Danail Stoyanov, Wolfgang Birkfellner, Tamás Haidegger, Terry M. Peters, Kevin Cleary, Pierre Jannin, Daniel S. Elson and Stefanie Speidel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Lena Maier‐Hein

162 papers receiving 4.2k citations

Hit Papers

align trajectories sort by overperformance

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.

Electromagnetic Tracking in Medicine—A Review of Technology, Validation, and Applications

2014 367 citations Alfred M. Franz, Lena Maier‐Hein et al. IEEE Transactions on Medical Imaging profile →
Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017

2017 301 citations Lena Maier‐Hein, Alfred M. Franz et al. profile →
CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

2023 235 citations Burak Koçak, Bettina Baeßler et al. Insights into Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lena Maier‐Hein Germany	34	1.6k	1.4k	1.3k	968	551	171	4.3k
Hervé Delingette France	50	2.4k 1.5×	2.4k 1.6×	3.0k 2.3×	1.1k 1.1×	358 0.6×	237	8.5k
Purang Abolmaesumi Canada	40	2.4k 1.5×	1.9k 1.3×	1.7k 1.3×	1.1k 1.2×	411 0.7×	313	5.6k
Konstantina S. Nikita Greece	42	2.2k 1.4×	1.5k 1.0×	812 0.6×	362 0.4×	993 1.8×	338	6.5k
Michael I. Miga United States	41	2.6k 1.6×	2.1k 1.4×	1.6k 1.2×	1.1k 1.1×	593 1.1×	231	5.4k
Gábor Székely Switzerland	41	1.4k 0.9×	1.6k 1.1×	1.5k 1.1×	963 1.0×	185 0.3×	197	5.3k
Andrew H. Gee United Kingdom	40	1.5k 0.9×	1.7k 1.2×	1.3k 1.0×	786 0.8×	316 0.6×	124	4.2k
Hongen Liao China	36	1.7k 1.1×	829 0.6×	1.6k 1.3×	1.1k 1.1×	472 0.9×	266	4.8k
Andreas Maier Germany	40	2.2k 1.4×	2.7k 1.9×	1.5k 1.1×	547 0.6×	264 0.5×	613	8.1k
Robert Rohling Canada	35	2.7k 1.7×	2.1k 1.4×	1.1k 0.8×	1.2k 1.2×	297 0.5×	260	4.8k
David R. Haynor United States	47	1.5k 0.9×	2.8k 1.9×	1.5k 1.2×	1.3k 1.4×	194 0.4×	215	7.8k

Countries citing papers authored by Lena Maier‐Hein

Since Specialization

Citations

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

Fields of papers citing papers by Lena Maier‐Hein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lena Maier‐Hein. 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 Lena Maier‐Hein. The network helps show where Lena Maier‐Hein may publish in the future.

Co-authorship network of co-authors of Lena Maier‐Hein

This figure shows the co-authorship network connecting the top 25 collaborators of Lena Maier‐Hein. A scholar is included among the top collaborators of Lena Maier‐Hein 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 Lena Maier‐Hein. Lena Maier‐Hein 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

Li, Yi, Ferdinand Knieling, Werner Lang, et al.. (2025). Shortcut learning leads to sex bias in deep learning models for photoacoustic tomography. International Journal of Computer Assisted Radiology and Surgery. 20(7). 1325–1333.

März, Keno, Sebastian Bodenstedt, Felix Nickel, et al.. (2024). Aliado - A design concept of AI for decision support in oncological liver surgery. European Journal of Surgical Oncology. 51(7). 108669–108669. 2 indexed citations

Younis, R. T., Sebastian Bodenstedt, Marcus Daum, et al.. (2024). A surgical activity model of laparoscopic cholecystectomy for co-operation with collaborative robots. Surgical Endoscopy. 38(8). 4316–4328. 4 indexed citations

Santos, Edgar, et al.. (2024). Depth-Specific Hypoxic Responses to Spreading Depolarizations in Gyrencephalic Swine Cortex Unveiled by Photoacoustic Imaging. Translational Stroke Research. 16(3). 672–678. 1 indexed citations

Adler, Tim, et al.. (2024). Photoacoustic Quantification of Tissue Oxygenation Using Conditional Invertible Neural Networks. IEEE Transactions on Medical Imaging. 43(9). 3366–3376. 3 indexed citations

Ali, Sharib, Yueming Jin, Lihua Zhang, et al.. (2024). An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge. Medical Image Analysis. 99. 103371–103371. 8 indexed citations

Studier‐Fischer, Alexander, Samuel Knoedler, Karl‐Friedrich Kowalewski, et al.. (2023). ICG-augmented hyperspectral imaging for visualization of intestinal perfusion compared to conventional ICG fluorescence imaging: an experimental study. International Journal of Surgery. 109(12). 3883–3895. 3 indexed citations

Koçak, Burak, Bettina Baeßler, Spyridon Bakas, et al.. (2023). CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII. Insights into Imaging. 14(1). 75–75. 235 indexed citations breakdown →

Studier‐Fischer, Alexander, Tim Adler, Hannes Kenngott, et al.. (2022). Robust deep learning-based semantic organ segmentation in hyperspectral images. Medical Image Analysis. 80. 102488–102488. 51 indexed citations

10.

Bron, Esther E., Stefan Klein, Annika Reinke, et al.. (2022). Ten years of image analysis and machine learning competitions in dementia. NeuroImage. 253. 119083–119083. 9 indexed citations

11.

Seitel, Alexander, et al.. (2022). Reattachable fiducial skin marker for automatic multimodality registration. International Journal of Computer Assisted Radiology and Surgery. 17(11). 2141–2150. 2 indexed citations

12.

Gröhl, Janek, et al.. (2021). Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern. PUBLISSO (German National Library of Medicine). 4 indexed citations

13.

Edwards, Philip, et al.. (2021). SERV-CT: A disparity dataset from cone-beam CT for validation of endoscopic 3D reconstruction. Medical Image Analysis. 76. 102302–102302. 36 indexed citations

14.

Maier‐Hein, Lena, et al.. (2020). BIAS: Transparent reporting of biomedical image analysis challenges. Veřejné služby Informačního systému (Masarykiana Brunensis Universitas). 36 indexed citations

15.

Stoyanov, Danail, Zeike A. Taylor, Gustavo Carneiro, et al.. (2018). Deep learning in medical image analysis and multimodal learning for clinical decision support: 4th international workshop, DLMIA 2018, and 8th international workshop, ML-CDS 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, proceedings. CERN Document Server (European Organization for Nuclear Research). 57 indexed citations

16.

Moccia, Sara, Sebastian Wirkert, Hannes Kenngott, et al.. (2018). Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy. IEEE Transactions on Biomedical Engineering. 65(11). 2649–2659. 28 indexed citations

17.

Schäfer, Martin, Ulrike Bauder‐Wüst, Mareike Roscher, et al.. (2017). PSMA-11–Derived Dual-Labeled PSMA Inhibitors for Preoperative PET Imaging and Precise Fluorescence-Guided Surgery of Prostate Cancer. Journal of Nuclear Medicine. 59(4). 639–645. 101 indexed citations

18.

Simpfendörfer, Tobias, Claudia Gasch, Markus Fangerau, et al.. (2016). Three-Dimensional Reconstruction of Preoperative Imaging Improves Surgical Success in Laparoscopy. Journal of Laparoendoscopic & Advanced Surgical Techniques. 27(2). 181–185. 12 indexed citations

19.

Maier‐Hein, Lena, Peter Mountney, Adrien Bartoli, et al.. (2013). Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery. Medical Image Analysis. 17(8). 974–996. 191 indexed citations

20.

Haase, Sven, et al.. (2013). Instrument segmentation in hybrid 3-D endoscopy using multi-sensor super-resolution.. 194–197. 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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