Matthias Fenchel

1.2k total citations
29 papers, 866 citations indexed

About

Matthias Fenchel is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matthias Fenchel has authored 29 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Biomedical Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matthias Fenchel's work include Advanced MRI Techniques and Applications (23 papers), Medical Imaging Techniques and Applications (21 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Matthias Fenchel is often cited by papers focused on Advanced MRI Techniques and Applications (23 papers), Medical Imaging Techniques and Applications (21 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Matthias Fenchel collaborates with scholars based in Germany, United States and Switzerland. Matthias Fenchel's co-authors include Christian Michel, Michael Hamm, Ciprian Catana, Bruce R. Rosen, Thomas Benner, Bruce Fischl, M. Schmand, André van der Kouwe, A. Gregory Sorensen and Johan Nuyts and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Matthias Fenchel

28 papers receiving 856 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthias Fenchel Germany	15	770	180	132	75	71	29	866
Sandeep Kaushik United States	11	743 1.0×	253 1.4×	127 1.0×	90 1.2×	44 0.6×	20	830
Claes Nøhr Ladefoged Denmark	18	788 1.0×	199 1.1×	112 0.8×	32 0.4×	56 0.8×	50	920
Dattesh Shanbhag United States	12	792 1.0×	252 1.4×	127 1.0×	111 1.5×	45 0.6×	23	883
David Faul United States	16	1.0k 1.3×	354 2.0×	114 0.9×	73 1.0×	119 1.7×	35	1.1k
Go Akamatsu Japan	17	753 1.0×	209 1.2×	292 2.2×	62 0.8×	178 2.5×	79	925
Hasan Sari Switzerland	18	934 1.2×	288 1.6×	244 1.8×	41 0.5×	161 2.3×	70	1.1k
Lefteris Livieratos United Kingdom	16	810 1.1×	255 1.4×	223 1.7×	31 0.4×	151 2.1×	44	1.0k
Jonathan A. Disselhorst Germany	16	722 0.9×	194 1.1×	158 1.2×	39 0.5×	181 2.5×	27	926
Ken‐Pin Hwang United States	13	428 0.6×	92 0.5×	166 1.3×	28 0.4×	60 0.8×	26	553
Scott D. Wollenweber United States	19	1.1k 1.5×	436 2.4×	332 2.5×	48 0.6×	160 2.3×	75	1.2k

Countries citing papers authored by Matthias Fenchel

Since Specialization

Citations

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

Fields of papers citing papers by Matthias Fenchel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Fenchel

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

All Works

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20 of 20 papers shown

Breit, Hanns‐Christian, et al.. (2025). Deep Learning-Enhanced Single Breath-Hold Abdominal MRI at 0.55 T—Technical Feasibility and Image Quality Assessment. Academic Radiology. 32(12). 7049–7059.

Vosshenrich, Jan, Matthias Fenchel, Dominik Nickel, et al.. (2024). Deep Learning Reconstructed New-Generation 0.55 T MRI of the Knee—A Prospective Comparison With Conventional 3 T MRI. Investigative Radiology. 59(12). 823–830. 2 indexed citations

Vosshenrich, Jan, Matthias Fenchel, Dominik Nickel, et al.. (2024). Advanced deep learning-based image reconstruction in lumbar spine MRI at 0.55 T – Effects on image quality and acquisition time in comparison to conventional deep learning-based reconstruction. European Journal of Radiology Open. 12. 100567–100567. 6 indexed citations

Benkert, Thomas, Eddy Solomon, Dominik Nickel, et al.. (2020). Free‐breathing fat and R₂* quantification in the liver using a stack‐of‐stars multi‐echo acquisition with respiratory‐resolved model‐based reconstruction. Magnetic Resonance in Medicine. 84(5). 2592–2605. 26 indexed citations

Zhan, Chenyang, Stephan Kannengießer, Hersh Chandarana, et al.. (2019). MR elastography of liver at 3 Tesla: comparison of gradient-recalled echo (GRE) and spin-echo (SE) echo-planar imaging (EPI) sequences and agreement across stiffness measurements. Abdominal Radiology. 44(5). 1825–1833. 14 indexed citations

Kolbitsch, Christoph, Radhouène Neji, Matthias Fenchel, et al.. (2018). Joint cardiac and respiratory motion estimation for motion-corrected cardiac PET-MR. Physics in Medicine and Biology. 64(1). 15007–15007. 20 indexed citations

Kolbitsch, Christoph, Radhouène Neji, Matthias Fenchel, et al.. (2018). Respiratory-resolved MR-based attenuation correction for motion-compensated cardiac PET-MR. Physics in Medicine and Biology. 63(13). 135008–135008. 13 indexed citations

Franceschi, Ana M., Roy A. Raad, Aaron Nelson, et al.. (2018). Visual detection of regional brain hypometabolism in cognitively impaired patients is independent of positron emission tomography-magnetic resonance attenuation correction method. SHILAP Revista de lepidopterología. 17(3). 188–194. 6 indexed citations

Gratz, Marcel, Julian Kirchner, Verena Ruhlmann, et al.. (2017). Impact of improved attenuation correction featuring a bone atlas and truncation correction on PET quantification in whole-body PET/MR. European Journal of Nuclear Medicine and Molecular Imaging. 45(4). 642–653. 32 indexed citations

10.

Wang, Hesheng, et al.. (2017). Dosimetric evaluation of synthetic CT for magnetic resonance-only based radiotherapy planning of lung cancer. Radiation Oncology. 12(1). 108–108. 29 indexed citations

11.

Freitag, Martin T., Matthias Fenchel, Philipp Bäumer, et al.. (2017). Improved clinical workflow for simultaneous whole-body PET/MRI using high-resolution CAIPIRINHA-accelerated MR-based attenuation correction. European Journal of Radiology. 96. 12–20. 25 indexed citations

12.

Rausch, Ivo, Lucas Rischka, Claes Nøhr Ladefoged, et al.. (2017). PET/MRI for Oncologic Brain Imaging: A Comparison of Standard MR-Based Attenuation Corrections with a Model-Based Approach for the Siemens mMR PET/MR System. Journal of Nuclear Medicine. 58(9). 1519–1525. 23 indexed citations

13.

Koesters, Thomas, Kent Friedman, Matthias Fenchel, et al.. (2016). Dixon Sequence with Superimposed Model-Based Bone Compartment Provides Highly Accurate PET/MR Attenuation Correction of the Brain. Journal of Nuclear Medicine. 57(6). 918–924. 69 indexed citations

14.

Braun, Harald, Ralf Ladebeck, Matthias Fenchel, et al.. (2014). Field of view extension and truncation correction for MR‐based human attenuation correction in simultaneous MR/PET imaging. Medical Physics. 41(2). 22303–22303. 35 indexed citations

15.

Nuyts, Johan, Girish Bal, F. Kehren, et al.. (2012). Completion of a Truncated Attenuation Image From the Attenuated PET Emission Data. IEEE Transactions on Medical Imaging. 32(2). 237–246. 99 indexed citations

16.

Ladebeck, Ralf, et al.. (2012). MR‐based field‐of‐view extension in MR/PET: B₀ homogenization using gradient enhancement (HUGE). Magnetic Resonance in Medicine. 70(4). 1047–1057. 48 indexed citations

17.

Ladebeck, Ralf, et al.. (2012). MR-based FoV Extension in Whole-Body MR/PET Using Continuous Table Move. Max Planck Digital Library. 3 indexed citations

18.

Catana, Ciprian, André van der Kouwe, Thomas Benner, et al.. (2010). Toward Implementing an MRI-Based PET Attenuation-Correction Method for Neurologic Studies on the MR-PET Brain Prototype. Journal of Nuclear Medicine. 51(9). 1431–1438. 276 indexed citations

19.

Fenchel, Matthias, Stefan Thesen, & Andreas Schilling. (2008). Automatic Labeling of Anatomical Structures in MR FastView Images Using a Statistical Atlas. Lecture notes in computer science. 11(Pt 1). 576–584. 23 indexed citations

20.

Fenchel, Matthias, et al.. (2003). Multislice TrueFISP-MR-Bildgebung zur Erkennung stressinduzierter myokardialer Funktionsstörungen bei koronarer Herzerkrankung. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 175(10). 1355–1362. 6 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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