Tharindu De Silva

667 total citations
49 papers, 463 citations indexed

About

Tharindu De Silva is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tharindu De Silva has authored 49 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 21 papers in Computer Vision and Pattern Recognition and 20 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tharindu De Silva's work include Medical Image Segmentation Techniques (17 papers), Medical Imaging and Analysis (15 papers) and Retinal Diseases and Treatments (14 papers). Tharindu De Silva is often cited by papers focused on Medical Image Segmentation Techniques (17 papers), Medical Imaging and Analysis (15 papers) and Retinal Diseases and Treatments (14 papers). Tharindu De Silva collaborates with scholars based in United States, Germany and Canada. Tharindu De Silva's co-authors include Ali Uneri, Jeffrey H. Siewerdsen, Catherine A. Cukras, Aaron Fenster, Emily Y. Chew, Sebastian Vogt, Gerhard Kleinszig, Michael D. Ketcha, Aaron D. Ward and Runze Han and has published in prestigious journals such as SHILAP Revista de lepidopterología, Spine and IEEE Transactions on Medical Imaging.

In The Last Decade

Tharindu De Silva

47 papers receiving 446 citations

Peers

Tharindu De Silva
Jon J. Camp United States
Qi Peng United States
Kyong Joon Lee South Korea
Runze Han United States
Jens Kowal Switzerland
Tamas Heffter United States
Jon J. Camp United States
Tharindu De Silva
Citations per year, relative to Tharindu De Silva Tharindu De Silva (= 1×) peers Jon J. Camp

Countries citing papers authored by Tharindu De Silva

Since Specialization
Citations

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

Fields of papers citing papers by Tharindu De Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tharindu De Silva. 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 Tharindu De Silva. The network helps show where Tharindu De Silva may publish in the future.

Co-authorship network of co-authors of Tharindu De Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Tharindu De Silva. A scholar is included among the top collaborators of Tharindu De Silva 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 Tharindu De Silva. Tharindu De Silva 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.
Abraham, M. Roselle, Elvira Agrón, Maximilian Pfau, et al.. (2025). Structure–Function Relationships in Geographic Atrophy Based on Mesopic Microperimetry, Fundus Autofluorescence, and Optical Coherence Tomography. Translational Vision Science & Technology. 14(2). 7–7. 4 indexed citations
2.
Silva, Tharindu De, et al.. (2024). Validation of Deep Learning–Based Automatic Retinal Layer Segmentation Algorithms for Age-Related Macular Degeneration with 2 Spectral-Domain OCT Devices. SHILAP Revista de lepidopterología. 5(3). 100670–100670. 2 indexed citations
3.
Silva, Tharindu De, et al.. (2022). Quantitative analysis of optical coherence tomography imaging in patients with different severities of hydroxychloroquine toxicity. British Journal of Ophthalmology. 107(6). 849–855. 2 indexed citations
4.
Pfau, Kristina, Tharindu De Silva, Henry E. Wiley, et al.. (2022). Evaluation of Cone- and Rod-Mediated Parameters in Dark Adaptation Testing as Outcome Measures in Age-Related Macular Degeneration. Ophthalmology Retina. 6(12). 1173–1184. 8 indexed citations
5.
Pak, Jeong W., Tharindu De Silva, Henry E. Wiley, et al.. (2021). Correlations Between AMD Severity and OCT Thickness. Investigative Ophthalmology & Visual Science. 62(8). 313–313. 1 indexed citations
6.
Shi, Xiaoshuang, Tiarnán D L Keenan, Qingyu Chen, et al.. (2021). Improving Interpretability in Machine Diagnosis. SHILAP Revista de lepidopterología. 1(3). 100038–100038. 16 indexed citations
7.
Silva, Tharindu De, et al.. (2021). Deep Learning-Based Automatic Detection of Ellipsoid Zone Loss in Spectral-Domain OCT for Hydroxychloroquine Retinal Toxicity Screening. SHILAP Revista de lepidopterología. 1(4). 100060–100060. 17 indexed citations
8.
Vagdargi, Prasad, Ali Uneri, Niral Sheth, et al.. (2020). Calibration and registration of a freehand video-guided surgical drill for orthopaedic trauma. PubMed. 11315. 15–15. 2 indexed citations
9.
Ketcha, Michael D., Tharindu De Silva, Runze Han, et al.. (2019). A Statistical Model for Rigid Image Registration Performance: The Influence of Soft-Tissue Deformation as a Confounding Noise Source. IEEE Transactions on Medical Imaging. 38(9). 2016–2027. 4 indexed citations
10.
Han, Runze, Ali Uneri, Tharindu De Silva, et al.. (2019). Atlas-based automatic planning and 3D–2D fluoroscopic guidance in pelvic trauma surgery. Physics in Medicine and Biology. 64(9). 95022–95022. 42 indexed citations
11.
Han, Runze, Tharindu De Silva, Michael D. Ketcha, Ali Uneri, & Jeffrey H. Siewerdsen. (2018). A momentum-based diffeomorphic demons framework for deformable MR-CT image registration. Physics in Medicine and Biology. 63(21). 215006–215006. 6 indexed citations
12.
Silva, Tharindu De, Ali Uneri, X Zhang, et al.. (2018). Real-time, image-based slice-to-volume registration for ultrasound-guided spinal intervention. Physics in Medicine and Biology. 63(21). 215016–215016. 10 indexed citations
13.
Ketcha, Michael D., Tharindu De Silva, Runze Han, et al.. (2017). Effects of Image Quality on the Fundamental Limits of Image Registration Accuracy. IEEE Transactions on Medical Imaging. 36(10). 1997–2009. 13 indexed citations
14.
Jacobson, Matthew W., Michael D. Ketcha, Ali Uneri, et al.. (2017). A line fiducial method for geometric calibration of cone-beam CT systems with diverse scan trajectories. Physics in Medicine and Biology. 63(2). 25030–25030. 17 indexed citations
15.
Silva, Tharindu De, Sheng-Fu Larry Lo, Nafi Aygün, et al.. (2016). Utility of the LevelCheck Algorithm for Decision Support in Vertebral Localization. Spine. 41(20). E1249–E1256. 19 indexed citations
16.
Silva, Tharindu De, Derek W. Cool, Cesare Romagnoli, Aaron Fenster, & Aaron D. Ward. (2014). Evaluating the utility of intraprocedural 3D TRUS image information in guiding registration for displacement compensation during prostate biopsy. Medical Physics. 41(8Part1). 82901–82901. 3 indexed citations
17.
Silva, Tharindu De, Aaron Fenster, Derek W. Cool, et al.. (2013). 2D-3D rigid registration to compensate for prostate motion during 3D TRUS-guided biopsy. Medical Physics. 40(2). 22904–22904. 46 indexed citations
18.
Silva, Tharindu De, et al.. (2013). Improving 2D-3D Registration Optimization Using Learned Prostate Motion Data. Lecture notes in computer science. 16(Pt 2). 124–131. 5 indexed citations
19.
Silva, Tharindu De, Aaron Fenster, Jeffrey Bax, et al.. (2011). Quantification of prostate deformation due to needle insertion during TRUS‐guided biopsy: Comparison of hand‐held and mechanically stabilized systems. Medical Physics. 38(3). 1718–1731. 19 indexed citations
20.
Silva, Tharindu De, Aaron Fenster, Jagath Samarabandu, & Aaron D. Ward. (2010). Quantification of Prostate Deformation due to Needle Insertion during TRUS-guided Biopsy. Lecture notes in computer science. 13(Pt 3). 213–220. 5 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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