Lars Gjesteby

1.3k total citations
31 papers, 868 citations indexed

About

Lars Gjesteby is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lars Gjesteby has authored 31 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Biomedical Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lars Gjesteby's work include Medical Imaging Techniques and Applications (14 papers), Advanced X-ray and CT Imaging (12 papers) and Medical Image Segmentation Techniques (8 papers). Lars Gjesteby is often cited by papers focused on Medical Imaging Techniques and Applications (14 papers), Advanced X-ray and CT Imaging (12 papers) and Medical Image Segmentation Techniques (8 papers). Lars Gjesteby collaborates with scholars based in United States and China. Lars Gjesteby's co-authors include Ge Wang, Yannan Jin, Bruno De Man, Harald Paganetti, D Giantsoudi, Qingsong Yang, Joost Verburg, Hongming Shan, Yan Xi and Wenxiang Cong and has published in prestigious journals such as IEEE Access, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Lars Gjesteby

29 papers receiving 852 citations

Peers

Lars Gjesteby

RNMI

CVPR

RADIA

PRM

Keh‐Shih Chuang Taiwan

Dong Zeng China

Alejandro Sisniega United States

Pengwei Wu United States

Matthieu Ferrant United States

Yves Trousset France

Niravkumar Patel United States

Jeffrey A. Ketterling United States

Yanye Lu China

Adam Wang United States

Keh‐Shih Chuang Taiwan

Lars Gjesteby

352 ×0.6

RNMI

187 ×0.3

171 ×1.3

CVPR

111 ×1.1

RADIA

125 ×1.9

PRM

Citations per year, relative to Lars Gjesteby Lars Gjesteby (= 1×) peers Keh‐Shih Chuang

Countries citing papers authored by Lars Gjesteby

Since Specialization

Citations

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

Fields of papers citing papers by Lars Gjesteby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Gjesteby

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Gjesteby. A scholar is included among the top collaborators of Lars Gjesteby 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 Lars Gjesteby. Lars Gjesteby 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

Brattain, Laura J., et al.. (2025). Topology-Preserving Deep Supervision for 3D Axon Centerline Segmentation Using Partially Annotated Data. PubMed. 2025. 1–5.

Pare, Joseph R., Lars Gjesteby, Megan Leo, et al.. (2024). Transfer Learning-Based B-Line Assessment of Lung Ultrasound for Acute Heart Failure. Ultrasound in Medicine & Biology. 50(6). 825–832. 3 indexed citations

Gjesteby, Lars, et al.. (2024). Self-Supervised Edge Detection Reconstruction for Topology-Informed 3D Axon Segmentation and Centerline Detection. 7816–7824. 1 indexed citations

Brady, Kevin, et al.. (2023). Self-Supervised Learning for Ultrasound Probe Angle Prediction in Plantar Fascia Images. 1–6.

Gjesteby, Lars, M Snyder, Brian S. Eastwood, et al.. (2023). Self-Supervised Learning to Improve Topology-Optimized Axon Segmentation and Centerline Detection. PubMed. 2023. 1–4. 3 indexed citations

Brattain, Laura J., Theodore T. Pierce, Lars Gjesteby, et al.. (2021). AI-Enabled, Ultrasound-Guided Handheld Robotic Device for Femoral Vascular Access. Biosensors. 11(12). 522–522. 37 indexed citations

Wang, Qian, et al.. (2019). A directional TV based ring artifact reduction method. 83–83. 7 indexed citations

Khorrami, Pooya, Kevin Brady, Lars Gjesteby, et al.. (2019). Deep Learning-Based Nuclei Segmentation of Cleared Brain Tissue. 4. 1–2. 1 indexed citations

Gjesteby, Lars, Hongming Shan, Qingsong Yang, et al.. (2019). A dual-stream deep convolutional network for reducing metal streak artifacts in CT images. Physics in Medicine and Biology. 64(23). 235003–235003. 50 indexed citations

10.

Wang, Qian, Yanbo Zhang, Lars Gjesteby, et al.. (2019). A new iterative algorithm for ring artifact reduction in CT using ring total variation. Medical Physics. 46(11). 4803–4815. 18 indexed citations

11.

You, Chenyu, Wenxiang Cong, Ge Wang, et al.. (2018). Structurally-Sensitive Multi-Scale Deep Neural Network for Low-Dose CT Denoising. IEEE Access. 6. 41839–41855. 183 indexed citations

12.

Cong, Wenxiang, et al.. (2018). Novel Detection Scheme for X-Ray Small-Angle Scattering. IEEE Transactions on Radiation and Plasma Medical Sciences. 2(4). 315–325. 4 indexed citations

13.

Wu, Bo, Hui Hua, Dan Yang, et al.. (2018). E-Index—A Bibliometric Index of Research Efficiency. IEEE Access. 6. 51355–51364. 3 indexed citations

14.

Jin, Yannan, D Giantsoudi, Lin Fu, et al.. (2018). Metal artifact reduction for radiation therapy: a simulation study. 25–25. 3 indexed citations

15.

Gjesteby, Lars, et al.. (2017). Deep learning methods to guide CT image reconstruction and reduce metal artifacts. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10132. 101322W–101322W. 57 indexed citations

16.

Giantsoudi, D, Bruno De Man, Joost Verburg, et al.. (2017). Metal artifacts in computed tomography for radiation therapy planning: dosimetric effects and impact of metal artifact reduction. Physics in Medicine and Biology. 62(8). R49–R80. 119 indexed citations

17.

Gjesteby, Lars, Wenxiang Cong, & Ge Wang. (2017). Numerical study on simultaneous emission and transmission tomography in the MRI framework. 41. 14–14. 2 indexed citations

18.

Jin, Yannan, Lars Gjesteby, Joost Verburg, et al.. (2016). MO-FG-CAMPUS-IeP2-05: Feasibility Demonstration of High-Voltage Clinical CT and Impact On X-Ray Penetration Through Metal Objects. Medical Physics. 43(6Part32). 3720–3721. 3 indexed citations

19.

Wang, Ge, Mannudeep K. Kalra, Yan Xi, et al.. (2015). Vision 20/20: Simultaneous CT‐MRI — Next chapter of multimodality imaging. Medical Physics. 42(10). 5879–5889. 24 indexed citations

20.

Tacher, Vania, MingDe Lin, Michael Chao, et al.. (2013). Semiautomatic Volumetric Tumor Segmentation for Hepatocellular Carcinoma. Academic Radiology. 20(4). 446–452. 49 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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