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

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

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20 of 20 papers shown

#	Work	Indexed citations
1	AutoDPS: An unsupervised diffusion model based method for multiple degradation removal in MRI 2025 ·Computer Methods and Programs in Biomedicine ·(unknown), (unknown), Keerthi Ram, (unknown), (unknown), Mohanasankar Sivaprakasam	1
2	SHFormer: Dynamic spectral filtering convolutional neural network and high-pass kernel generation transformer for adaptive MRI reconstruction 2025 ·Neural Networks ·(unknown), (unknown), (unknown), Keerthi Ram, (unknown), Mohanasankar Sivaprakasam	0
3	KDPhys: An attention guided 3D to 2D knowledge distillation for real-time video-based physiological measurement 2025 ·Biomedical Signal Processing and Control ·(unknown), (unknown), (unknown), Balamurali Murugesan, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam	0
4	OCUCFormer: An Over-Complete Under-Complete Transformer Network for accelerated MRI reconstruction 2024 ·Image and Vision Computing ·(unknown), (unknown), (unknown), (unknown), (unknown), Keerthi Ram, Mohanasankar Sivaprakasam	0
5	DCE-diff: Diffusion Model for Synthesis of Early and Late Dynamic Contrast-Enhanced MR Images from Non-Contrast Multimodal Inputs 2024 ·(unknown), (unknown), (unknown), (unknown), (unknown), Keerthi Ram, Mohanasankar Sivaprakasam	3
6	Ensemble deep learning model for protein secondary structure prediction using NLP metrics and explainable AI 2024 ·Results in Engineering ·(unknown), R. Parvathi, Keerthi Ram	9
7	MCI-HyperNet: A multiple contextual information-based adaptive weight learning network for controllable image reconstruction 2023 ·Neurocomputing ·(unknown), Balamurali Murugesan, (unknown), Keerthi Ram, (unknown), Mohanasankar Sivaprakasam	1
8	HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction 2023 ·(unknown), (unknown), (unknown), (unknown), Keerthi Ram, Mohanasankar Sivaprakasam	0
9	Attention adaptive instance normalization style transfer for vascular segmentation using deep learning 2023 ·Applied Intelligence ·Supriti Mulay, Keerthi Ram, Mohanasankar Sivaprakasam	1
10	Automated Knowledge Modeling for Cancer Clinical Practice Guidelines 2023 ·PubMed ·(unknown), Bhumika Gupta, Arihant Jain, (unknown), (unknown), Keerthi Ram, Mohanasankar Sivaprakasam	0
11	Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit 2022 ·2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) ·(unknown), Balamurali Murugesan, (unknown), (unknown), Keerthi Ram, Steffen Leonhardt, Jayaraj Joseph, Mohanasankar Sivaprakasam	8
12	Efficacy of an Automated Algorithm for Screening Diabetic Retinopathy in Gradable and Ungradable Images in Real-Time Conditions 2022 ·Telemedicine Journal and e-Health ·Sheila John, Sangeetha Srinivasan, Keerthi Ram, Mohanasankar Sivaprakasam, Sundaram Natarajan	2
13	A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction 2021 ·Computerized Medical Imaging and Graphics ·Balamurali Murugesan, (unknown), (unknown), Keerthi Ram, N. R. Jagannathan, Mohanasankar Sivaprakasam	9
14	Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder–decoder deep networks 2020 ·Nature Machine Intelligence ·Samik Banerjee, (unknown), Dingkang Wang, Xu Li, Bing‐Xing Huo, (unknown), Katherine S. Matho, (unknown), Keerthi Ram, Mohanasankar Sivaprakasam, Z. Josh Huang, Yusu Wang, Partha P. Mitra	21
15	KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow 2020 ·Balamurali Murugesan, (unknown), (unknown), Keerthi Ram, Mohanasankar Sivaprakasam	1
16	Validation of a Customized Algorithm for the Detection of Diabetic Retinopathy from Single-Field Fundus Photographs in a Tertiary Eye Care Hospital 2019 ·Studies in health technology and informatics ·Sheila John, Sangeetha Srinivasan, Rajiv Raman, Keerthi Ram, Mohanasankar Sivaprakasam	3
17	Assessment of Computer-Assisted Screening Technology for Diabetic Retinopathy Screening in India - Preliminary Results and Recommendations from a Pilot Study. 2016 ·PubMed ·Sheila John, Keerthi Ram, Mohanasankar Sivaprakasam, Rajiv Raman	1
18	Local characterization of neovascularization and identification of proliferative diabetic retinopathy in retinal fundus images 2016 ·Computerized Medical Imaging and Graphics ·Garima Gupta, (unknown), Keerthi Ram, Niranjan Joshi, Mohanasankar Sivaprakasam, (unknown)	32
19	A Successive Clutter-Rejection-Based Approach for Early Detection of Diabetic Retinopathy 2010 ·IEEE Transactions on Biomedical Engineering ·Keerthi Ram, Gopal Datt Joshi, Jayanthi Sivaswamy	97
20	Multi-space clustering for segmentation of exudates in retinal color photographs 2009 ·PubMed ·Keerthi Ram, Jayanthi Sivaswamy	31

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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