Kevin T. Chen

1.3k total citations
22 papers, 813 citations indexed

About

Kevin T. Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kevin T. Chen has authored 22 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kevin T. Chen's work include Medical Imaging Techniques and Applications (19 papers), Advanced MRI Techniques and Applications (15 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Kevin T. Chen is often cited by papers focused on Medical Imaging Techniques and Applications (19 papers), Advanced MRI Techniques and Applications (15 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Kevin T. Chen collaborates with scholars based in United States, Taiwan and Germany. Kevin T. Chen's co-authors include Ciprian Catana, Greg Zaharchuk, Enhao Gong, John M. Pauly, Jiahong Ouyang, Daniel B. Chonde, David Izquierdo‐Garcia, Jinyi Qi, Guobao Wang and Elizabeth C. Mormino and has published in prestigious journals such as Scientific Reports, Biological Psychiatry and Radiology.

In The Last Decade

Kevin T. Chen

22 papers receiving 808 citations

Peers

Kevin T. Chen

RNMI

RADIA

CVPR

Seung Kwan Kang South Korea

Stefano Pedemonte United Kingdom

Alexandre Bousse United Kingdom

J. Zaers Germany

Mehdi Khalighi United States

Stephan Blinder Canada

Ion‐Florin Talos United States

Kristof Baete Belgium

Ahmadreza Rezaei Belgium

Baiyu Chen United States

Seung Kwan Kang South Korea

Kevin T. Chen

520 ×0.8

RNMI

224 ×1.0

141 ×1.2

RADIA

139 ×1.5

CVPR

22 ×0.5

Citations per year, relative to Kevin T. Chen Kevin T. Chen (= 1×) peers Seung Kwan Kang

Countries citing papers authored by Kevin T. Chen

Since Specialization

Citations

This map shows the geographic impact of Kevin T. Chen'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 Kevin T. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin T. Chen more than expected).

Fields of papers citing papers by Kevin T. Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin T. Chen. 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 Kevin T. Chen. The network helps show where Kevin T. Chen may publish in the future.

Co-authorship network of co-authors of Kevin T. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin T. Chen. A scholar is included among the top collaborators of Kevin T. Chen 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 Kevin T. Chen. Kevin T. Chen 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

Lin, Yunung Nina, Shao‐Yi Huang, Hanwei Wang, et al.. (2025). MRI-Styled PET: A Dual Modality Fusion Approach to PET Partial Volume Correction. IEEE Transactions on Radiation and Plasma Medical Sciences. 9(7). 939–950. 2 indexed citations

Zhao, Moss, Mehdi Khalighi, Guido Davidzon, et al.. (2023). Early-Frame [¹⁸F]Florbetaben PET/MRI for Cerebral Blood Flow Quantification in Patients with Cognitive Impairment: Comparison to an [¹⁵O]Water Gold Standard. Journal of Nuclear Medicine. 65(2). 306–312. 3 indexed citations

Ouyang, Jiahong, Kevin T. Chen, Guido Davidzon, et al.. (2023). Predicting FDG‐PET Images From Multi‐Contrast MRI Using Deep Learning in Patients With Brain Neoplasms. Journal of Magnetic Resonance Imaging. 59(3). 1010–1020. 6 indexed citations

Chen, Kevin T., Mary Ellen I. Koran, Jiahong Ouyang, et al.. (2023). Generative Adversarial Network–Enhanced Ultra-Low-Dose [¹⁸F]-PI-2620 τ PET/MRI in Aging and Neurodegenerative Populations. American Journal of Neuroradiology. 44(9). 1012–1019. 4 indexed citations

Hussein, Ramy, Moss Zhao, David S. Shin, et al.. (2022). Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation. 2022 26th International Conference on Pattern Recognition (ICPR). 4306–4312. 4 indexed citations

Zhao, Moss, Amanda Woodward, Audrey P. Fan, et al.. (2021). Reproducibility of cerebrovascular reactivity measurements: A systematic review of neuroimaging techniques^*. Journal of Cerebral Blood Flow & Metabolism. 42(5). 700–717. 18 indexed citations

Chen, Kevin T., Mary Ellen I. Koran, Guido Davidzon, et al.. (2021). True ultra-low-dose amyloid PET/MRI enhanced with deep learning for clinical interpretation. European Journal of Nuclear Medicine and Molecular Imaging. 48(8). 2416–2425. 40 indexed citations

Chen, Kevin T., Jiahong Ouyang, Mary Ellen I. Koran, et al.. (2020). Generalization of deep learning models for ultra-low-count amyloid PET/MRI using transfer learning. European Journal of Nuclear Medicine and Molecular Imaging. 47(13). 2998–3007. 34 indexed citations

Lin, Raozhou, Chan Hyun Na, Santosh Renuse, et al.. (2020). Persistently Elevated mTOR Complex 1-S6 Kinase 1 Disrupts DARPP-32–Dependent D1 Dopamine Receptor Signaling and Behaviors. Biological Psychiatry. 89(11). 1058–1072. 9 indexed citations

10.

Ouyang, Jiahong, Kevin T. Chen, Enhao Gong, John M. Pauly, & Greg Zaharchuk. (2019). Ultra‐low‐dose PET reconstruction using generative adversarial network with feature matching and task‐specific perceptual loss. Medical Physics. 46(8). 3555–3564. 129 indexed citations

11.

Chen, Kevin T., Stephanie Salcedo, Kuang Gong, et al.. (2018). An Efficient Approach to Perform MR-Assisted PET Data Optimization in Simultaneous PET/MR Neuroimaging Studies. Journal of Nuclear Medicine. 60(2). 272–278. 13 indexed citations

12.

Chen, Kevin T., Enhao Gong, Fabíola Macruz, et al.. (2018). Ultra–Low-Dose¹⁸F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs. Radiology. 290(3). 649–656. 182 indexed citations

13.

Chen, Kevin T., Stephanie Salcedo, Daniel B. Chonde, et al.. (2018). MR‐assisted PET motion correction in simultaneous PET/MRI studies of dementia subjects. Journal of Magnetic Resonance Imaging. 48(5). 1288–1296. 26 indexed citations

14.

Wang, Guobao, et al.. (2016). Anatomically-aided PET reconstruction using the kernel method. Physics in Medicine and Biology. 61(18). 6668–6683. 62 indexed citations

15.

Chen, Kevin T., et al.. (2016). On the accuracy and reproducibility of a novel probabilistic atlas-based generation for calculation of head attenuation maps on integrated PET/MR scanners. European Journal of Nuclear Medicine and Molecular Imaging. 44(3). 398–407. 14 indexed citations

16.

Izquierdo‐Garcia, David, Kevin T. Chen, Adam E. Hansen, et al.. (2014). New SPM8-based MRAC method for simultaneous PET/MR brain images: comparison with state-of-the-art non-rigid registration methods. EJNMMI Physics. 1(S1). A29–A29. 3 indexed citations

17.

Izquierdo‐Garcia, David, Adam E. Hansen, Stefan Förster, et al.. (2014). An SPM8-Based Approach for Attenuation Correction Combining Segmentation and Nonrigid Template Formation: Application to Simultaneous PET/MR Brain Imaging. Journal of Nuclear Medicine. 55(11). 1825–1830. 163 indexed citations

18.

Lu, Tzu‐Pin, Kevin T. Chen, Mong‐Hsun Tsai, et al.. (2014). Identification of Genes with Consistent Methylation Levels across Different Human Tissues. Scientific Reports. 4(1). 4351–4351. 11 indexed citations

19.

Catana, Ciprian, Daniel B. Chonde, Kevin T. Chen, et al.. (2014). Combined MR-assisted motion and partial volume effects corrections – impact on PET data quantification. EJNMMI Physics. 1(S1). A38–A38. 1 indexed citations

20.

Chen, Kevin T., Daniel B. Chonde, David Izquierdo‐Garcia, et al.. (2014). Probabilistic atlas-based segmentation of combined T1-weighted and DUTE MRI for calculation of head attenuation maps in integrated PET/MRI scanners.. PubMed. 4(2). 160–71. 23 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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