Keerthi Ram

1.5k total citations
53 papers, 741 citations indexed

About

Keerthi Ram is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Keerthi Ram has authored 53 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Computer Vision and Pattern Recognition and 14 papers in Ophthalmology. Recurrent topics in Keerthi Ram's work include Retinal Imaging and Analysis (16 papers), Medical Imaging Techniques and Applications (12 papers) and Retinal Diseases and Treatments (12 papers). Keerthi Ram is often cited by papers focused on Retinal Imaging and Analysis (16 papers), Medical Imaging Techniques and Applications (12 papers) and Retinal Diseases and Treatments (12 papers). Keerthi Ram collaborates with scholars based in India, United States and Australia. Keerthi Ram's co-authors include Mohanasankar Sivaprakasam, Jayanthi Sivaswamy, Gopal Datt Joshi, Partha P. Mitra, Z. Josh Huang, Kith Pradhan, Jesse Levine, Mihail Bota, Kannan Umadevi Venkataraju and Yongsoo Kim and has published in prestigious journals such as Cell, IEEE Transactions on Biomedical Engineering and eLife.

In The Last Decade

Keerthi Ram

44 papers receiving 705 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Keerthi Ram India 12 296 177 152 146 104 53 741
Fábio Scarpa Italy 16 792 2.7× 324 1.8× 362 2.4× 78 0.5× 29 0.3× 38 1.3k
Shaun Frost Australia 16 601 2.0× 106 0.6× 572 3.8× 147 1.0× 34 0.3× 44 1.1k
Akinori Mitani United States 8 136 0.5× 104 0.6× 79 0.5× 43 0.3× 107 1.0× 14 544
Chunlan Yang China 12 253 0.9× 181 1.0× 41 0.3× 60 0.4× 15 0.1× 37 528
Claudio Stamile France 13 189 0.6× 88 0.5× 39 0.3× 62 0.4× 28 0.3× 27 488
Jan Freyberg United States 8 214 0.7× 289 1.6× 34 0.2× 87 0.6× 65 0.6× 11 741
Alejandro Cosa‐Linan Germany 11 248 0.8× 101 0.6× 11 0.1× 78 0.5× 109 1.0× 13 689
Abhishek Rege United States 12 416 1.4× 41 0.2× 93 0.6× 14 0.1× 77 0.7× 37 756
Yi Yu China 12 172 0.6× 68 0.4× 87 0.6× 165 1.1× 37 0.4× 38 520
Ingo Schießl United Kingdom 16 180 0.6× 245 1.4× 70 0.5× 7 0.0× 130 1.3× 33 750

Countries citing papers authored by Keerthi Ram

Since Specialization
Citations

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

Fields of papers citing papers by Keerthi Ram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keerthi Ram

This figure shows the co-authorship network connecting the top 25 collaborators of Keerthi Ram. A scholar is included among the top collaborators of Keerthi Ram 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 Keerthi Ram. Keerthi Ram 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.
Ram, Keerthi, et al.. (2025). AutoDPS: An unsupervised diffusion model based method for multiple degradation removal in MRI. Computer Methods and Programs in Biomedicine. 263. 108684–108684. 1 indexed citations
2.
3.
Murugesan, Balamurali, et al.. (2025). KDPhys: An attention guided 3D to 2D knowledge distillation for real-time video-based physiological measurement. Biomedical Signal Processing and Control. 107. 107797–107797.
4.
Ram, Keerthi, et al.. (2024). OCUCFormer: An Over-Complete Under-Complete Transformer Network for accelerated MRI reconstruction. Image and Vision Computing. 150. 105228–105228.
5.
6.
Parvathi, R., et al.. (2024). Ensemble deep learning model for protein secondary structure prediction using NLP metrics and explainable AI. Results in Engineering. 24. 103435–103435. 9 indexed citations
7.
Murugesan, Balamurali, et al.. (2023). MCI-HyperNet: A multiple contextual information-based adaptive weight learning network for controllable image reconstruction. Neurocomputing. 554. 126606–126606. 1 indexed citations
8.
9.
Mulay, Supriti, Keerthi Ram, & Mohanasankar Sivaprakasam. (2023). Attention adaptive instance normalization style transfer for vascular segmentation using deep learning. Applied Intelligence. 53(24). 29638–29655. 1 indexed citations
10.
Gupta, Bhumika, et al.. (2023). Automated Knowledge Modeling for Cancer Clinical Practice Guidelines. PubMed. 129. 1–4.
11.
Murugesan, Balamurali, et al.. (2022). Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 1327–1330. 8 indexed citations
12.
John, Sheila, Sangeetha Srinivasan, Keerthi Ram, Mohanasankar Sivaprakasam, & Sundaram Natarajan. (2022). Efficacy of an Automated Algorithm for Screening Diabetic Retinopathy in Gradable and Ungradable Images in Real-Time Conditions. Telemedicine Journal and e-Health. 29(6). 896–902. 2 indexed citations
13.
Murugesan, Balamurali, et al.. (2021). A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction. Computerized Medical Imaging and Graphics. 91. 101942–101942. 9 indexed citations
14.
Banerjee, Samik, Dingkang Wang, Xu Li, et al.. (2020). Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder–decoder deep networks. Nature Machine Intelligence. 2(10). 585–594. 21 indexed citations
15.
Murugesan, Balamurali, et al.. (2020). KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow. 515–526. 1 indexed citations
16.
John, Sheila, Sangeetha Srinivasan, Rajiv Raman, Keerthi Ram, & Mohanasankar Sivaprakasam. (2019). Validation of a Customized Algorithm for the Detection of Diabetic Retinopathy from Single-Field Fundus Photographs in a Tertiary Eye Care Hospital. Studies in health technology and informatics. 264. 1504–1505. 3 indexed citations
17.
John, Sheila, Keerthi Ram, Mohanasankar Sivaprakasam, & Rajiv Raman. (2016). Assessment of Computer-Assisted Screening Technology for Diabetic Retinopathy Screening in India - Preliminary Results and Recommendations from a Pilot Study.. PubMed. 231. 74–81. 1 indexed citations
18.
Gupta, Garima, et al.. (2016). Local characterization of neovascularization and identification of proliferative diabetic retinopathy in retinal fundus images. Computerized Medical Imaging and Graphics. 55. 124–132. 32 indexed citations
19.
Ram, Keerthi, Gopal Datt Joshi, & Jayanthi Sivaswamy. (2010). A Successive Clutter-Rejection-Based Approach for Early Detection of Diabetic Retinopathy. IEEE Transactions on Biomedical Engineering. 58(3). 664–673. 97 indexed citations
20.
Ram, Keerthi & Jayanthi Sivaswamy. (2009). Multi-space clustering for segmentation of exudates in retinal color photographs. PubMed. 2009. 1437–1440. 31 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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