Andrew P. Leynes

682 total citations
14 papers, 475 citations indexed

About

Andrew P. Leynes is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Genetics. According to data from OpenAlex, Andrew P. Leynes has authored 14 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Biomedical Engineering and 1 paper in Genetics. Recurrent topics in Andrew P. Leynes's work include Medical Imaging Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced MRI Techniques and Applications (7 papers). Andrew P. Leynes is often cited by papers focused on Medical Imaging Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced MRI Techniques and Applications (7 papers). Andrew P. Leynes collaborates with scholars based in United States, India and Switzerland. Andrew P. Leynes's co-authors include Peder E. Z. Larson, Thomas A. Hope, Youngho Seo, Dattesh Shanbhag, Sandeep Kaushik, Florian Wiesinger, Jaewon Yang, Soonmee Cha, Javier Villanueva-Meyer and Geoffrey B. Johnson and has published in prestigious journals such as Magnetic Resonance in Medicine, IEEE Transactions on Medical Imaging and Medical Physics.

In The Last Decade

Andrew P. Leynes

14 papers receiving 471 citations

Peers

Countries citing papers authored by Andrew P. Leynes

Since Specialization

Citations

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

Fields of papers citing papers by Andrew P. Leynes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew P. Leynes. 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 Andrew P. Leynes. The network helps show where Andrew P. Leynes may publish in the future.

Co-authorship network of co-authors of Andrew P. Leynes

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Chronic low-grade inflammation in patients with systemic sclerosis is associated with increased risk for arteriosclerotic cardiovascular disease 2024 ·Frontiers in Medicine ·Ursula Heilmeier, (unknown), Andrew P. Leynes, (unknown), (unknown), Marius Keute, Florian Kollert, Reinhard Voll, Stephanie Finzel	1
2	Assessment of lesion insertion tool in pelvis PET/MR data with applications to attenuation correction method development 2024 ·Journal of Applied Clinical Medical Physics ·Yutaka Natsuaki, Andrew P. Leynes, (unknown), (unknown), (unknown), Paul E. Kinahan, Richard Laforest, Peder E. Z. Larson, Thomas A. Hope, Sara St. James	1
3	Scan-Specific Self-Supervised Bayesian Deep Non-Linear Inversion for Undersampled MRI Reconstruction 2024 ·IEEE Transactions on Medical Imaging ·Andrew P. Leynes, (unknown), Srikantan S. Nagarajan, Peder E. Z. Larson	3
4	Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation 2020 ·Francesco Calivá, Andrew P. Leynes, Rutwik Shah, (unknown), Sharmila Majumdar, Peder E. Z. Larson, Valentina Pedoia	6
5	Bayesian deep learning Uncertainty estimation and pseudo-CT prior for robust Maximum Likelihood estimation of Activity and Attenuation (UpCT-MLAA) in the presence of metal implants for simultaneous PET/MRI in the pelvis 2020 ·arXiv (Cornell University) ·Andrew P. Leynes, Sangtae Ahn, (unknown), Sandeep Kaushik, Florian Wiesinger, Thomas A. Hope, Peder E. Z. Larson	1
6	Simultaneous T1 and T2 mapping of hyperpolarized 13C compounds using the bSSFP sequence 2020 ·Journal of Magnetic Resonance ·Eugene Milshteyn, Galen D. Reed, Jeremy W. Gordon, Cornelius von Morze, Peng Cao, Shuyu Tang, Andrew P. Leynes, Peder E. Z. Larson, Daniel B. Vigneron	7
7	Deep Learning-based MR-derived PET Prediction for Patient-Conforming PET Phantoms 2020 ·(unknown), Andrew P. Leynes, Sara St. James, Richard Laforest, Peder E. Z. Larson, Thomas A. Hope	1
8	Technical Note: Simultaneous segmentation and relaxometry for MRI through multitask learning 2019 ·Medical Physics ·Peng Cao, Jing Liu, Shuyu Tang, Andrew P. Leynes, Janine Lupo, Duan Xu, Peder E. Z. Larson	3
9	Synthetic CT Generation Using MRI with Deep Learning: How Does the Selection of Input Images Affect the Resulting Synthetic CT? 2018 ·Andrew P. Leynes, Peder E. Z. Larson	6
10	PET/MRI: Where might it replace PET/CT? 2017 ·Journal of Magnetic Resonance Imaging ·Eric C. Ehman, Geoffrey B. Johnson, Javier Villanueva-Meyer, Soonmee Cha, Andrew P. Leynes, Peder E. Z. Larson, Thomas A. Hope	180
11	Zero-Echo-Time and Dixon Deep Pseudo-CT (ZeDD CT): Direct Generation of Pseudo-CT Images for Pelvic PET/MRI Attenuation Correction Using Deep Convolutional Neural Networks with Multiparametric MRI 2017 ·Journal of Nuclear Medicine ·Andrew P. Leynes, Jaewon Yang, Florian Wiesinger, Sandeep Kaushik, Dattesh Shanbhag, Youngho Seo, Thomas A. Hope, Peder E. Z. Larson	188
12	PET/MRI: Where might it replace PET/CT? 2017 ·Journal of Magnetic Resonance Imaging ·Eric C. Ehman, Geoffrey B. Johnson, Javier Villanueva-Meyer, Soonmee Cha, Andrew P. Leynes, Peder E. Z. Larson, Thomas A. Hope	11
13	Shuffled magnetization‐prepared multicontrast rapid gradient‐echo imaging 2017 ·Magnetic Resonance in Medicine ·Peng Cao, (unknown), Shuyu Tang, Andrew P. Leynes, Angela Jakary, Peder E. Z. Larson	3
14	Hybrid ZTE/Dixon MR‐based attenuation correction for quantitative uptake estimation of pelvic lesions in PET/MRI 2017 ·Medical Physics ·Andrew P. Leynes, Jaewon Yang, Dattesh Shanbhag, Sandeep Kaushik, Youngho Seo, Thomas A. Hope, Florian Wiesinger, Peder E. Z. Larson	64

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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