Scott D. Wollenweber

1.7k total citations
75 papers, 1.2k citations indexed

About

Scott D. Wollenweber is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Scott D. Wollenweber has authored 75 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Radiology, Nuclear Medicine and Imaging, 31 papers in Biomedical Engineering and 28 papers in Radiation. Recurrent topics in Scott D. Wollenweber's work include Medical Imaging Techniques and Applications (74 papers), Radiomics and Machine Learning in Medical Imaging (40 papers) and Advanced X-ray and CT Imaging (31 papers). Scott D. Wollenweber is often cited by papers focused on Medical Imaging Techniques and Applications (74 papers), Radiomics and Machine Learning in Medical Imaging (40 papers) and Advanced X-ray and CT Imaging (31 papers). Scott D. Wollenweber collaborates with scholars based in United States, United Kingdom and Switzerland. Scott D. Wollenweber's co-authors include Paul E. Kinahan, Gaspar Delso, Gustav K. von Schulthess, Adam Alessio, Kris Thielemans, Ravindra M. Manjeshwar, Daniel T. Schmid, Félix P. Kuhn, Cyrill Burger and Irene A. Burger and has published in prestigious journals such as PLoS ONE, Radiology and Physics in Medicine and Biology.

In The Last Decade

Scott D. Wollenweber

70 papers receiving 1.2k citations

Peers

Scott D. Wollenweber
Hasan Sari Switzerland
D.J. Kadrmas United States
David Faul United States
Bjoern Jakoby United Kingdom
Ivo Rausch Austria
S.G. Kohlmyer United States
Daniel R. McGowan United Kingdom
Hasan Sari Switzerland
Scott D. Wollenweber
Citations per year, relative to Scott D. Wollenweber Scott D. Wollenweber (= 1×) peers Hasan Sari

Countries citing papers authored by Scott D. Wollenweber

Since Specialization
Citations

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

Fields of papers citing papers by Scott D. Wollenweber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott D. Wollenweber. 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 Scott D. Wollenweber. The network helps show where Scott D. Wollenweber may publish in the future.

Co-authorship network of co-authors of Scott D. Wollenweber

This figure shows the co-authorship network connecting the top 25 collaborators of Scott D. Wollenweber. A scholar is included among the top collaborators of Scott D. Wollenweber 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 Scott D. Wollenweber. Scott D. Wollenweber 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.
Mehranian, Abolfazl, Kevin M. Bradley, Matthew Walker, et al.. (2024). Sequential deep learning image enhancement models improve diagnostic confidence, lesion detectability, and image reconstruction time in PET. EJNMMI Physics. 11(1). 28–28. 2 indexed citations
2.
Byrd, David W., Craig K. Abbey, Jhimli Mitra, et al.. (2023). Deep Learning Model Observers Trained with Human Observer Data from Two-Alternative Forced Choice (2AFC) Trials. 1–1. 2 indexed citations
3.
Mehranian, Abolfazl, Scott D. Wollenweber, Matthew Walker, et al.. (2022). Deep learning–based time-of-flight (ToF) image enhancement of non-ToF PET scans. European Journal of Nuclear Medicine and Molecular Imaging. 49(11). 3740–3749. 32 indexed citations
4.
Mehranian, Abolfazl, Scott D. Wollenweber, Matthew Walker, et al.. (2021). Image enhancement of whole-body oncology [18F]-FDG PET scans using deep neural networks to reduce noise. European Journal of Nuclear Medicine and Molecular Imaging. 49(2). 539–549. 41 indexed citations
5.
Kinahan, Paul E., Eric S. Perlman, John J. Sunderland, et al.. (2020). The QIBA Profile for FDG PET/CT as an Imaging Biomarker Measuring Response to Cancer Therapy. Radiology. 294(3). 647–657. 50 indexed citations
6.
Bertolli, Ottavia, Simon Arridge, Scott D. Wollenweber, et al.. (2017). Sign determination methods for the respiratory signal in data-driven PET gating. Physics in Medicine and Biology. 62(8). 3204–3220. 18 indexed citations
7.
Sah, Bert-Ram, Paul Stolzmann, Gaspar Delso, et al.. (2016). Clinical evaluation of a block sequential regularized expectation maximization reconstruction algorithm in 18F-FDG PET/CT studies. Nuclear Medicine Communications. 38(1). 57–66. 42 indexed citations
8.
Wollenweber, Scott D. & Brad Kemp. (2016). Technical Note: Rod phantom analysis for comparison of PET detector sampling and reconstruction methods. Medical Physics. 43(11). 6175–6185. 6 indexed citations
9.
Wollenweber, Scott D., Adam Alessio, & Paul E. Kinahan. (2016). A phantom design for assessment of detectability in PET imaging. Medical Physics. 43(9). 5051–5062. 17 indexed citations
10.
Queiroz, Marcelo A., Gaspar Delso, Scott D. Wollenweber, et al.. (2015). Dose Optimization in TOF-PET/MR Compared to TOF-PET/CT. PLoS ONE. 10(7). e0128842–e0128842. 26 indexed citations
11.
Ahn, Sangtae, Steven G. Ross, Evren Asma, et al.. (2015). Quantitative comparison of OSEM and penalized likelihood image reconstruction using relative difference penalties for clinical PET. Physics in Medicine and Biology. 60(15). 5733–5751. 96 indexed citations
12.
Bowen, Stephen R., Matthew J. Nyflot, Christian Herrmann, et al.. (2015). Imaging and dosimetric errors in 4D PET/CT-guided radiotherapy from patient-specific respiratory patterns: a dynamic motion phantom end-to-end study. Physics in Medicine and Biology. 60(9). 3731–3746. 8 indexed citations
13.
Nyflot, Matthew J., Adam Alessio, Scott D. Wollenweber, et al.. (2014). Impact of CT attenuation correction method on quantitative respiratory‐correlated (4D) PET/CT imaging. Medical Physics. 42(1). 110–120. 19 indexed citations
14.
Queiroz, Marcelo A., Scott D. Wollenweber, Gustav von Schulthess, Gaspar Delso, & Patrick Veit‐Haibach. (2014). Clinical image quality perception and its relation to NECR measurements in PET. EJNMMI Physics. 1(1). 103–103. 16 indexed citations
15.
Wollenweber, Scott D., et al.. (2013). Characterization of the impact to PET quantification and image quality of an anterior array surface coil for PET/MR imaging. Magnetic Resonance Materials in Physics Biology and Medicine. 27(2). 149–159. 24 indexed citations
16.
Delso, Gaspar, Scott D. Wollenweber, A. H. R. Lonn, Florian Wiesinger, & Patrick Veit‐Haibach. (2013). MR-driven metal artifact reduction in PET/CT. Physics in Medicine and Biology. 58(7). 2267–2280. 17 indexed citations
17.
Šamarin, Andrei, Cyrill Burger, Scott D. Wollenweber, et al.. (2012). PET/MR imaging of bone lesions – implications for PET quantification from imperfect attenuation correction. European Journal of Nuclear Medicine and Molecular Imaging. 39(7). 1154–1160. 191 indexed citations
18.
Liu, Chi, Adam Alessio, Larry A. Pierce, et al.. (2010). Quiescent period respiratory gating for PET/CT. Medical Physics. 37(9). 5037–5043. 85 indexed citations
19.
MacDonald, L.R., Adam Alessio, Scott D. Wollenweber, et al.. (2008). Measured count-rate performance of the Discovery STE PET/CT scanner in 2D, 3D and partial collimation acquisition modes. Physics in Medicine and Biology. 53(14). 3723–3738. 30 indexed citations
20.
Kinahan, Paul E., Adam Alessio, Scott D. Wollenweber, et al.. (2007). Motion-free PET: Compensating for patient respiration in whole-body PET/CT imaging. 48(3). 1137–53.

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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