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Dr. Swapna T. R.

Associate Professor , School of Computing, Coimbatore

Qualification: M.Tech., Ph.D
tr_swapna@cb.amrita.edu
Swapna T. R's Google Scholar Profile
Research Interest: Artificial Intelligence, Computer Graphic and Big Data Analytics., Computer Graphics, Data Mining, Machine Learning, Medical Imaging, Modeling and Visualization

Bio Publications Reviewer of Journal/Conferences: Projects
Bio

Dr. Swapna T. R. is an Associate Professor in School of Computing at Amrita Vishwa Vidyapeetham, Coimbatore. She completed PhD from the School of Medical Science and Technology (SMST), IIT Kharagpur, in Computer Vision for Medical Imaging and MTech in Computer Science and Engineering from NIT-Kozhikode. Her research interests are in Medical Imaging, Machine Learning, Computer Vision, Deep Learning, Big Data and Healthcare Analytics. Her doctoral Thesis in the ophthalmology domain examined the possibility of developing an automated system for detection and diagnosis of diabetic maculopathy (retinopathy affecting the macular are of the eye) using Fundus Fluorescein Angiogram (FFA) images. She teaches courses in Deep Learning, Pattern Recognition, Machine Learning, Modelling and Visualization, Computer Graphics, Medical Imaging, Artificial Intelligence, Data Mining, Computer Graphics and Big Data Analytics or various undergraduate and postgraduate courses in the University She is working with undergraduate students in Hypertensive retinopathy. She is currently involved in developing interpretable models for diagnosis and grading of retinal colour fundus images affected with diabetic retinopathy and various lung diseases in Chest X-rays (CXR). She also works in enhancement of medical images and low light images.

Publications

Journal Article

Year : 2019

An empirical evaluation of temporal convolutional network for offensive text classification

Cite this Research Publication : S. Murali and Swapna, T. R., “An empirical evaluation of temporal convolutional network for offensive text classification”, International Journal of Innovative Technology and Exploring Engineering, vol. 8, pp. 2179-2184, 2019.

Publisher : International Journal of Innovative Technology and Exploring Engineering

Year : 2017

Computational Approach for Clinically Significant Macular Edema Detection Using Fundus Fluorescein Angiogram Images

Cite this Research Publication : T. R. Swapna, Das, D. Kumar, Chakraborty, C., and Pillai, G. S., “Computational Approach for Clinically Significant Macular Edema Detection Using Fundus Fluorescein Angiogram Images”, Journal of Medical Imaging and Health Informatics, vol. 7, pp. 1689-1692, 2017.

Publisher : Journal of Medical Imaging and Health Informatics,

Year : 2015

Identifying associated morphological patterns between SD_OCT and FFA imaging for macular leaks detection: Conformal mapping-based approach

Cite this Research Publication : Swapna T R, Chandan Chakraborty, K A Narayanan Kutty , Identifying associated morphological patterns between SD_OCT and FFA imaging for macular leaks detection: Conformal mapping-based approach, Springer Advance in Intelligent and Soft computing,2015, vol. 2, pp.195-203.

Publisher : Springer

Year : 2015

Macular Region Enhancement of Fundus Fluorescein Angiogram Images Using Super Resolution via Sparse representation and Evaluation using Quality Analysis

Cite this Research Publication : Swapna T R, Indu D and Chandan Chakraborty, Macular Region Enhancement of Fundus Fluorescein Angiogram Images Using Super Resolution via Sparse representation and Evaluation using Quality Analysis, Elsevier Proceedia in the Computer Science,2015, vol.58,pp. 586 – 592, August- 2015

Publisher : Elsevier

Year : 2015

Unsupervised Segmentation of Retinal Vessels from Fundus Fluorescein Angiogram Images

Cite this Research Publication : Abirami S, Swapna T R,Sini Raj Pulari, ChandanChakraborty ,Unsupervised segmentation of Retinal vessels from Fundus Fluorescein Angiogram images, International Journal of Applied engineering Research, 2015, 10(69) pp.38-43

Publisher : International Journal of Applied Engineering Research

Year : 2015

Retinal image enhancement using super resolution via sparse representation and evaluation using quality metrics

Cite this Research Publication : Swapna T R, Indu D and Chandan Chakraborty, Retinal Image Enhancement Using Super Resolution via Sparse representation and Evaluation using Quality metrics, International Journal of Applied engineering Research, 2015, 10(69) pp.117-122

Publisher : International Journal of Applied Engineering Research

Year : 2015

Blood vessel segmentationin fundus images using contourlet transform

Cite this Research Publication : ViswajithTH, JithinShahnavas, Swapna T R, Blood Vessel Segmentation in Fundus Images using Contourlet Transform, International Journal of Applied engineering Research, 2015, 10(55) pp.1061-1067

Publisher : International Journal of Applied Engineering Research

Year : 2014

Diabetic Maculopathy detection using Fundus Fluorescein Angiogram images – A Review

Cite this Research Publication : Swapna T R, ChandanChakraborty , Diabetic Maculopathy detection using Fundus Fluorescein Angiogram images – A Review, International Journal of Research in Engineering and Technology, ,2014, eISSN: 2319-1163 | pISSN: 2321-730

Publisher : International Journal of Research in Engineering and Technology

Conference Paper

Year : 2019

Artery and Vein classification for hypertensive retinopathy

Cite this Research Publication : M. Kiruthika, Swapna, T. R., Santhosh, K. C., and Peeyush, K. P., “Artery and Vein classification for hypertensive retinopathy”, in 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India, India, 2019.

Publisher : 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)

Year : 2015

Improving the Accuracy of Latent Fingerprint Matching Using Texture Descriptors

Cite this Research Publication : Dhanusha V and Swapna T R, Improving the accuracy of latent fingerprint matching using texture descriptors, Artificial Intelligence and Evolutionary Algorithms in Engineering Systems, 2015, Advances vol. 325, pp 695-703 .

Publisher : Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Conference Proceedings

Year : 2021

Transfer Learning approach for grading of Diabetic Retinopathy

Cite this Research Publication : T Aswathi , T R Swapna , S Padmavathi , Transfer Learning approach for grading of Diabetic Retinopathy, Journal of Physics: conference series, 2021

Publisher : Journal of Physics: Conference Series

Year : 2018

Profiling of Hard Exudates and Microaneurysms to Evaluate the Progress of Diabetic Retinopathy

Cite this Research Publication : Parvathy Ram and Swapna T R, Profiling of Hard Exudates and Microaneurysms to Evaluate the Progress of Diabetic Retinopathy, International Journal of Pure and Applied Mathematics, 2018, vol.118(8):127-131 ·

Publisher : ijpam

Year : 2015

Plagiarism Detection for Java Programs without Source Codes

Cite this Research Publication : Anjali V, Swapna T.R, Bharat Jayaraman,, Plagiarism Detection for Java Programs without Source Codes, Elsevier Proceedia in Computer Science, 2015,

Publisher : Elsevier

Year : 2014

A Novel Approach for StereoMatching based on Feature correspondence

Cite this Research Publication : Sonu Thomas, Suresh Yerva, Swapna T.R ,A Novel Approach for StereoMatching based on Feature correspondence, Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014,Advances in Intelligent Systems and Computing,Vol. 327, 2015, pp 503-510

Publisher : SpringerLink

Book Chapter

Year : 2019

Hidden markov random field and gaussian mixture model based hidden markov random field for contour labelling of exudates in diabetic retinopathy—A comparative study

Cite this Research Publication : E. Achan and R, S. T., “Hidden Markov Random Field and Gaussian Mixture Model Based Hidden Markov Random Field for Contour Labelling of Exudates in Diabetic Retinopathy—A Comparative Study”, in Lecture Notes in Computational Vision and Biomechanics, 2019, pp. 1307-1317.

Publisher : Lecture Notes in Computational Vision and Biomechanics

Reviewer of Journal/Conferences:
  1. Machine Vision and Applications, Springer
  2. Medical Imaging and Computer Assisted Intervention (MICCAI) Conference,Vancouver, 2023.
  3. Computers in Biology and Medicine, Elsevier, 2022
Projects
  1. Title: Developing a Big Data framework for Accounting and Billing purposes
    Funding Agency: Cisco
    Completion date: May 2017
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