Thomas Köhler

2.7k total citations · 1 hit paper
60 papers, 2.0k citations indexed

About

Thomas Köhler is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thomas Köhler has authored 60 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Biomedical Engineering and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thomas Köhler's work include Advanced X-ray and CT Imaging (19 papers), Medical Imaging Techniques and Applications (18 papers) and Radiation Dose and Imaging (13 papers). Thomas Köhler is often cited by papers focused on Advanced X-ray and CT Imaging (19 papers), Medical Imaging Techniques and Applications (18 papers) and Radiation Dose and Imaging (13 papers). Thomas Köhler collaborates with scholars based in Germany, Finland and Switzerland. Thomas Köhler's co-authors include Ralph Müller, Amparo Návea, Sandra Morales, Valery Naranjo, José M. Mossi, Andres Diaz‐Pinto, Joachim Hornegger, Roland Proksa, Allison R. Pettit and David Hume and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Thomas Köhler

53 papers receiving 1.9k citations

Hit Papers

CNNs for automatic glaucoma assessment using fundus image... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers

Thomas Köhler
Rajan Jain United States
Matthew McAuliffe United States
Charles A. DiMarzio United States
Yucheng Tang United States
Navid Shiee United States
Daniel P. Barboriak United States
Rajan Jain United States
Thomas Köhler
Citations per year, relative to Thomas Köhler Thomas Köhler (= 1×) peers Rajan Jain

Countries citing papers authored by Thomas Köhler

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Köhler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Köhler

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Köhler. A scholar is included among the top collaborators of Thomas Köhler 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 Thomas Köhler. Thomas Köhler 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.
Diaz‐Pinto, Andres, Sandra Morales, Valery Naranjo, et al.. (2019). CNNs for automatic glaucoma assessment using fundus images: an extensive validation. BioMedical Engineering OnLine. 18(1). 29–29. 289 indexed citations breakdown →
2.
Köhler, Thomas, et al.. (2019). Toward Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(11). 1–1. 53 indexed citations
3.
Mei, Kai, Felix K. Kopp, Rolf Bippus, et al.. (2017). Is multidetector CT-based bone mineral density and quantitative bone microstructure assessment at the spine still feasible using ultra-low tube current and sparse sampling?. European Radiology. 27(12). 5261–5271. 42 indexed citations
4.
Köhler, Thomas, Sven Haase, Sebastian Bauer, et al.. (2015). Multi-sensor super-resolution for hybrid range imaging with application to 3-D endoscopy and open surgery. Medical Image Analysis. 24(1). 220–234. 9 indexed citations
5.
Köhler, Thomas, Attila Budai, Martin F. Kraus, et al.. (2013). Automatic no-reference quality assessment for retinal fundus images using vessel segmentation. 95–100. 119 indexed citations
6.
Haase, Sven, et al.. (2013). Instrument segmentation in hybrid 3-D endoscopy using multi-sensor super-resolution.. 194–197. 1 indexed citations
7.
Hauser, Nik, Zhentian Wang, R. Huch, et al.. (2013). A Study on Mastectomy Samples to Evaluate Breast Imaging Quality and Potential Clinical Relevance of Differential Phase Contrast Mammography. Investigative Radiology. 49(3). 131–137. 51 indexed citations
8.
Köhler, Thomas, Sven Haase, Sebastian Bauer, et al.. (2013). ToF Meets RGB: Novel Multi-Sensor Super-Resolution for Hybrid 3-D Endoscopy. Lecture notes in computer science. 16(Pt 1). 139–146. 16 indexed citations
9.
Köhler, Thomas, et al.. (2012). A Preprocessing Framework for Low-Cost Retinal Fundus Images. Investigative Ophthalmology & Visual Science. 53(14). 4061–4061.
10.
Köhler, Thomas, Klaus Engel, & Ewald Roessl. (2011). Noise properties of grating-based x-ray phase contrast computed tomography. Medical Physics. 38(S1). S106–S116. 42 indexed citations
11.
Hill, Kathy, et al.. (2009). Inhibition of osteoclast formation and function by bicarbonate: Role of soluble adenylyl cyclase. Journal of Cellular Physiology. 220(2). 332–340. 40 indexed citations
12.
Weber, Wilfried, Marie Daoud‐El Baba, Robert N. Grass, et al.. (2009). Magnet-guided transduction of mammalian cells and mice using engineered magnetic lentiviral particles. Journal of Biotechnology. 141(3-4). 118–122. 23 indexed citations
13.
Gabet, Yankel, Jon Cogan, Yunfan Shi, et al.. (2009). Lef1 Haploinsufficient Mice Display a Low Turnover and Low Bone Mass Phenotype in a Gender- and Age-Specific Manner. PLoS ONE. 4(5). e5438–e5438. 58 indexed citations
14.
Köhler, Thomas, Martin Stauber, Leah Rae Donahue, & Ralph Müller. (2007). Automated compartmental analysis for high-throughput skeletal phenotyping in femora of genetic mouse models. Bone. 41(4). 659–667. 51 indexed citations
15.
Köhler, Thomas, Claas Bontus, & Peter Koken. (2006). The radon-split method for helical cone-beam CT and its application to nongated reconstruction. IEEE Transactions on Medical Imaging. 25(7). 882–897. 16 indexed citations
16.
Bontus, Claas, Peter Koken, Thomas Köhler, & Roland Proksa. (2006). Circular CT in combination with a helical segment. Physics in Medicine and Biology. 52(1). 107–120. 7 indexed citations
17.
Köhler, Thomas, et al.. (2006). Efficient projection and backprojection scheme for spherically symmetric basis functions in divergent beam geometry. Medical Physics. 33(12). 4653–4663. 31 indexed citations
18.
Bontus, Claas, Thomas Köhler, & Roland Proksa. (2005). EnPiT: filtered back-projection algorithm for helical CT using an n-Pi acquisition. IEEE Transactions on Medical Imaging. 24(8). 977–986. 19 indexed citations
19.
Schmitt, Holger, Michael Graß, Thomas Köhler, et al.. (2005). Reconstruction of blood propagation in three-dimensional rotational X-ray angiography (3D-RA). Computerized Medical Imaging and Graphics. 29(7). 507–520. 16 indexed citations
20.
Fuchs, M., Michael Wagner, Hans-Aloys Wischmann, et al.. (1998). Improving source reconstructions by combining bioelectric and biomagnetic data. Electroencephalography and Clinical Neurophysiology. 107(2). 93–111. 184 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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