Vidwan-ID: 93107
Researcher ID: S-3943-2019
Scopus ID: 36537070400
Orcid ID: 0000-0001-5593-3949
2024
68. N. P. Raja, Srivatsan Sarvesan, A. Thomas, Gopi, Varun P., “Dense-PMSFNet: DenseNet Pyramidal Multi-Scale Fusion Network for Retinal Vasculature and FAZ Segmentation in OCTA Images,” IEEE Latin America Transactions, in press.
67. N. P. Raja, Gopi, Varun P, B. Francis, and C. Devi N., “Deepvasnet: Retinal vasculature and faz segmentation in OCTA with efficientnet-enhanced U-net,” Biomedical Engineering: Applications, Basis and, Communications, in press.
66. Arun P. S., Bibin Francis, Gopi, Varun P, NL-CoWNet: A Deep Convolutional Encoder-Decoder Architecture for OCT Speckle Elimination using Non-Local and Subband Modulated DT-CWT blocks, IEEE Transactions on Artificial Intelligence, 2024.
65. Shalini. R. and Gopi, Varun P, “Multiresolution Cascaded Attention U-Net for Localization and Segmentation of Optic Disc and Fovea in Fundus Images,” Scientific Reports, 14(1), 23107 (2024).
64. Abhishek Sehrawat., Gopi, Varun P, and Anita Gupta, “A Systematic Review on the Role of Deep Learning in CT Scans for Detection of Gall Bladder Cancer,” Archives of Computational Methods in Engineering, p. 1–9, 2024.
63. Nisha J. S., Gopi, Varun P, “Polyp Detection Based on Hybrid Feature Extraction and Saliency Detection,” Biomedical Engineering: Applications, Basis and, Communications, in press.
62. Alka Singh, A. Thomas, Gopi, Varun P, “Wavelet-Pooling Based Multi-scale CNN for Covid-19 Detection From CT Images,” Biomedical Engineering: Applications, Basis and, Communications, 2450035, 2024.
2023
61. P. S. Arun and Gopi, Varun P, “Despnet: A residual learning-based deep convolutional neural network for the despeckling of optical coherence tomography images,” Multimedia Tools and Applications, pp. 1–21, 2023.
60. Shalini. R. and Gopi, Varun P, “Dcae-unet: Improved optic disc segmentation model using semi-supervised deep dilated convolution autoencoder-based modified u-net,” Biomedical Engineering: Applications, Basis and, Communications, p. 2350025, 2023
59. M. Raju, A. V. S, Gopi, Varun P, and A. Shehrawat, “Early diagnosis of alzhiemer’s disease using wavelet-pooling based deep convolutional neural network,” Sadhana, vol. 48, no. 3, p. 1-12, 2023.
58. P. S. Arun, S. A. Sahare, and Gopi, Varun P, “Rescownet: A deep convolutional neural network with residual learning based on dt-cwt for despeckling optical coherence tomography images,” Optik, p. 170 924, 2023.
57. P. R. Shekar, A. Mathew, and Gopi, Varun P, “Rainfall-runoff modelling using swat and eight artificial intelligence models in the murredu watershed, india,” Environmental Monitoring and Assessment, vol. 195, no. 9, p. 1041, 2023.
56. P. R. Shekar, A.Mathew, A. PS, and Gopi, Varun P, “Sub-watershed prioritization using morphometric analysis, principal component analysis, hypsometric analysis, land use/land cover analysis, and machine learning approaches in the peddavagu river basin, india,” Journal of Water and Climate Change, 2023.
55. A. Singh, Gopi, Varun P, A. Thomas, and O. Singh, “Dual-scale cnn architecture for covid-19 detection from lung ct images,” Biomedical Engineering: Applications, Basis and Communications, p. 2 350 012, 2023.
2022
54. P. Arun, Gopi, Varun P, and P. Palanisamy, “Despeckling of oct images using dt-cwt based fusion technique,” Optik, vol. 263, p. 169 332, 2022.
53. Nisha and Gopi, Varun P, “Colorectal polyp detection in colonoscopy videos using image enhancement and discrete orthonormal stockwell transform,” Sadhana, vol. 47, no. 4, p. 234, 2022.
52. Nisha, Gopi, Varun P, and P. Palanisamy, “Automated colorectal polyp detection based on image enhancement and dual-path cnn architecture,” Biomedical Signal Processing and Control, vol. 73, p. 103 465, 2022.
51. J. Nisha, Gopi, Varun P, and P. Palanisamy, “Automated polyp detection in colonoscopy videos using image enhancement and saliency detection algorithm,” Biomedical Engineering: Applications, Basis and Communications, vol. 34, no. 01, p. 2 250 001, 2022.
50. J. Nisha, Gopi, Varun P, and P. Palanisamy, “Classification of informative frames in colonoscopy video based on image enhancement and phog feature extraction,” Biomedical Engineering: Applications, Basis and Communications, vol. 34, no. 02, p. 2 250 015, 2022.
49. J. Nisha, Gopi, Varun P, and P. Palanisamy, “Colorectal polyp detection using image enhancement and scaled yolov4 algorithm,” Biomedical Engineering: Applications, Basis and Communications, vol. 34, no. 05, p. 2 250 026, 2022.
48. G. Palanisamy, P. Ponnusamy, and Gopi, Varun P, “An adaptive enhancement and fovea detection technique for color fundus image analysis,” Signal, Image and Video Processing, pp. 1–8, 2022.
47. S. Sabi, J. M. Jacob, and Gopi, Varun P, “Classification of age-related macular degeneration using dag-cnn architecture,” Biomedical Engineering: Applications, Basis and Communications, vol. 34, no. 06, p. 2 250 037, 2022.
46. D. Sahadevan, P. Ponnusamy, Gopi, Varun P, and M. K. Nelli, “Ground-based 4d trajectory prediction using bi-directional lstm networks,” Applied Intelligence, pp. 1–18, 2022.
45. S. Sethuraman and Gopi, Varun P, “Staircase-net: A deep learning based architecture for retinal blood vessel segmentation,” Sadhana, vol. 47, no. 4, p. 191, 2022.
44. R. Shalini and Gopi, Varun P, “Deep learning approaches based improved light weight u-net with attention module for optic disc segmentation,” Physical and Engineering Sciences in Medicine, pp. 1–12, 2022.
43. A. Sunija, Gopi, Varun P, and A. K. Krishna, “D-dagnet: An improved hybrid deep network for automated classification of glaucoma from oct images,” Biomedical Engineering: Applications, Basis and Communications, p. 2 250 042, 2022.
42. A. Sunija, Gopi, Varun P, and P. Palanisamy, “Redundancy reduced depthwise separable convolution for glaucoma classification using oct images,” Biomedical Signal Processing and Control, vol. 71, p. 103 192, 2022.
41. A. Sunija, A. K. Krishna, Gopi, Varun P, and P. Palanisamy, “Multi-scale directed acyclic graph-cnn for automated classification of diabetic retinopathy from oct images,” Biomedical Engineering: Applications, Basis and Communications, vol. 34, no. 05, p. 2 250 025, 2022.
40. A. Suresh, J. Nisha, Gopi, Varun P, et al., “Rich feature distillation with feature affinity module for efficient image dehazing,” Optik, vol. 267, p. 169 656, 2022.
2021
39. V. Dharanya and A. N. J. a. V. P. Raj, “Facial expression recognition through person-wise regeneration of expressions using auxiliary classifier generative adversarial network (ac-gan) based model,” Journal of Visual Communication and Image Representation, vol. 77, p. 103 110, 2021.
38. S. Gayathri, Gopi, Varun P, and P. Palanisamy, “Diabetic retinopathy classification based on multipath cnn and machine learning classifiers,” Physical and engineering sciences in medicine, vol. 44, no. 3, pp. 639–653, 2021.
37. P. Harikrishnan, A. Thomas, Gopi, Varun P, P. Palanisamy, and K. A. Wahid, “Inception single shot multi-box detector with affinity propagation clustering and their application in multi-class vehicle counting,” Applied Intelligence, vol. 51, pp. 4714–4729, 2021.
36. H. PM, A. Thomas, N. JS, Gopi, Varun P, and P. Palanisamy, “Pixel matching search algorithm for counting moving vehicle in highway traffic videos,” Multimedia Tools and Applications, vol. 80, no. 2, pp. 3153–3172, 2021.
35. S. Sabi, Gopi, Varun P, and J. A. Raj, “Detection of age-related macular degeneration from oct images using double scale cnn architecture,” Biomedical Engineering: Applications, Basis and Communications, vol. 33, no. 04, p. 2 150 029, 2021.
34. D. Sahadevan, P. Ponnusamy, Gopi, Varun P, S. Guruswami, and A. K. Krishna, “A machine learning-based approach to predict random variation in the landing time of scheduled flights,” International Journal of Sustainable Aviation, vol. 7, no. 4, pp. 293–318, 2021.
33. D. SAHADEVAN, P. Ponnusamy, M. K. Nelli Mr, Gopi, Varun P, et al., “Predictability improvement of scheduled flights departure time variation using supervised machine learning,” International Journal of Aviation, Aeronautics, and Aerospace, vol. 8, no. 2, p. 9, 2021.
32. A. Sunija, S. Kar, S. Gayathri, Gopi, Varun P, and P. Palanisamy, “Octnet: A lightweight cnn for retinal disease classification from optical coherence tomography images,” Computer methods and programs in biomedicine, vol. 200, p. 105–877, 2021.
31. A. Thomas, Gopi, Varun P, and P. Palanisamy, “Fast approach for moving vehicle localization and bounding box estimation in highway traffic videos,” Signal, Image and Video Processing, vol. 15, no. 5, pp. 1041–1048, 2021.
30. A. Thomas, P. M. Harikrishnan, Gopi, Varun P, et al., “A novel multiscale and multipath convolutional neural network-based age-related macular degeneration detection using oct images,” Computer methods and programs in biomedicine, vol. 209, p. 106-294, 2021.
29. A. Thomas, P. Harikrishnan, Gopi, Varun P, and P. Palanisamy, “An automated method to detect age-related macular degeneration from optical coherence tomographic images,” Biomedical Engineering: Applications, Basis and Communications, vol. 33, no. 05, p. 2 150 036, 2021.
28. A. Thomas, P. Harikrishnan, A. K. Krishna, P. Palanisamy, and Gopi, Varun P, “A novel multiscale convolutional neural network-based age-related macular degeneration detection using oct images,” Biomedical Signal Processing and Control, vol. 67, p. 102-538, 2021.
27. A. Thomas, P. Harikrishnan, A. K. Krishna, P. Ponnusamy, and Gopi, Varun P, “Automated detection of age-related macular degeneration from oct images using multipath cnn.,” J. Comput. Sci. Eng., vol. 15, no. 1, pp. 34–46, 2021.
26. A. Thomas, A. Sunija, R. Manoj, et al., “Rpe layer detection and baseline estimation using statistical methods and randomization for classification of amd from retinal oct,” Computer Methods and Programs in Biomedicine, vol. 200, p. 105 822, 2021.
2020
25. S. Gayathri, Gopi, Varun P, and P. Palanisamy, “Automated classification of diabetic retinopathy through reliable feature selection,” Physical and Engineering Sciences in Medicine, vol. 43, pp. 927–945, 2020.
24. S. Gayathri, Gopi, Varun P, and P. Palanisamy, “A lightweight cnn for diabetic retinopathy classification from fundus images,” Biomedical Signal Processing and Control, vol. 62, p. 102 115, 2020.
23. S. Gayathri, A. K. Krishna, Gopi, Varun P, and P. Palanisamy, “Automated binary and multiclass classification of diabetic retinopathy using haralick and multiresolution features,” IEEE Access, vol. 8, pp. 57 497–57 504, 2020.
22. K. Nija, C. Anupama, Gopi, Varun P, and V. Anitha, “Automated segmentation of optic disc using statistical region merging and morphological operations,” Physical and Engineering Sciences in Medicine, vol. 43, pp. 857–869, 2020.
21. G. Palanisamy, N. B. Shankar, P. Ponnusamy, and Gopi, Varun P, “A hybrid feature preservation technique based on luminosity and edge based contrast enhancement in color fundus images,” Biocybernetics and Biomedical Engineering, vol. 40, no. 2, pp. 752–763, 2020.
20. M. Raju, Gopi, Varun P, V. Anitha, and K. A. Wahid, “Multi-class diagnosis of alzheimer’s disease using cascaded three dimensional-convolutional neural network,” Physical and Engineering Sciences in Medicine, vol. 43, pp. 1219–1228, 2020.
19. D. SAHADEVAN, P. P Dr, Gopi, Varun P, M. K. Nelli Mr, K. Mr, et al., “Prediction of gate in time of scheduled flights and schedule conformance using machine learning-based algorithms,” International Journal of Aviation, Aeronautics, and Aerospace, vol. 7, no. 4, p. 9, 2020.
18. Manjunath K. Nelli and Asokkumar K. Deepudev. S, Palanisamy. Gopi, Varun P, "Performance Improvement of Air Traffic Flow Management Ground Delay Program using Machine learning and Mixed Integer Linear Programming based Algorithm", International Journal on Emerging Technologies, Vol. 11, pp.1071-1081, 2020.
2019
17. A. Beejesh, Gopi, Varun P, and J. Hemanth, “Brain mr kurtosis imaging study: Contrasting gray and white matter,” Cognitive Systems Research, vol. 55, pp. 135–145, 2019.
16. G. Palanisamy, P. Ponnusamy, and Gopi, Varun P, “An improved luminosity and contrast enhancement framework for feature preservation in color fundus images,” Signal, Image and Video Processing, vol. 13, pp. 719–726, 2019.
2018
15. K. Jemshi, Gopi, Varun P, and S. Issac Niwas, “Development of an efficient algorithm for the detection of macular edema from optical coherence tomography images,” International Journal of Computer Assisted Radiology and Surgery, vol. 13, pp. 1369–1377, 2018.
14. T. Kausu, Gopi, Varun P, K. A. Wahid, W. Doma, and S. I. Niwas, “Combination of clinical and multiresolution features for glaucoma detection and its classification using fundus images,” Biocybernetics and Biomedical Engineering, vol. 38, no. 2, pp. 329–341, 2018.
13. A. Thomas and Gopi, Varun P, “Accurate heart rate monitoring method during physical exercise from photoplethysmography signal,” IEEE Sensors Journal, vol. 19, no. 6, pp. 2298–2304, 2018.
2017
12. Gopi, Varun P, M. Anjali, and S. I. Niwas, “Pca-based localization approach for segmentation of optic disc,” International journal of computer assisted radiology and surgery, vol. 12, pp. 2195–2204, 2017.
11.H. P. M. and Gopi, Varun P, “Vehicle vibration signal processing for road surface monitoring,” IEEE Sensors Journal, vol. 17, no. 16, pp. 5192–5197, 2017.
10. P. Reshma, Gopi, Varun P, V. S. Babu, and K. A. Wahid, “Analog cmos implementation of fft using cascode current mirror,” Microelectronics Journal, vol. 60, pp. 30–37, 2017.
2016
09. Gopi, Varun P, P. Palanisamy, K. A. Wahid, P. Babyn, and D. Cooper, “Iterative computed tomography reconstruction from sparse-view data,” Journal of Medical Imaging and Health Informatics, vol. 6, no. 1, pp. 34–46, 2016.
08. S. A. Melli, K. A. Wahid, P. Babyn, D. M. Cooper, and Gopi, Varun P, “A sparsity-based iterative algorithm for reconstruction of micro-ct images from highly undersampled projection datasets obtained with a synchrotron x-ray source,” Review of Scientific Instruments, vol. 87, no. 12, p. 123 701, 2016.
2014
07. V. S. Babu, P. Haseena, Gopi, Varun P, and M. Baiju, “A floating gate mosfet based novel programmable current reference,” International Journal of Electronics and Communication Engineering, vol. 8, no. 6, pp. 1009–1013, 2014.
06. Gopi, Varun P, V. S. Babu, and C. Dilna, “Image resolution enhancement using undecimated double density wavelet transform,” Signal Processing: An International Journal (SPIJ), vol. 8, no. 5, p. 67, 2014.
05. Gopi, Varun P, P. Palanisamy, K. A.Wahid, and P. Babyn, “Mr image reconstruction based on framelets and nonlocal total variation using split bregman method,” International journal of computer assisted radiology and surgery, vol. 9, pp. 459–472, 2014.
04. Gopi, Varun P, P. Palanisamy, K. A. Wahid, P. Babyn, and D. Cooper, “Multiple regularization based mri reconstruction,” Signal processing, vol. 103, pp. 103–113, 2014.
2013
03. Gopi, Varun P and P. Palanisamy, “Capsule endoscopic image denoising based on double density dual tree complex wavelet transform,” International Journal of Imaging and Robotics, vol. 9, no. 1, pp. 48–60, 2013.
02. Gopi, Varun P, P. Palanisamy, K. A. Wahid, and P. Babyn, “Mr image reconstruction based on iterative split bregman algorithm and nonlocal total variation,” Computational and mathematical methods in medicine, vol. 2013, 2013.
01. Gopi, Varun P, P. Palanisamy, K. A. Wahid, P. Babyn, and D. Cooper, “Micro-ct image reconstruction based on alternating direction augmented lagrangian method and total variation,” Computerized medical imaging and graphics, vol. 37, no. 7-8, pp. 419–429, 2013.
33. Akshayraj MR, Muhammed Raees PC, Varun P Gopi, G. Lakshminarayanan, G. R. Gangadharan, Jayaraj U Kidav, Efficient Hardware Design for CNN-Based ECG Signal Classification in Wearable Bio-Medical Devices, 28th International Symposium on VLSI Design and Test (VDAT-2024), pp. 1-7, 2024.
32. Muhammed Raees PC, Akshayraj MR, Varun P Gopi, G. Lakshminarayanan, G. R. Gangadharan, Jayaraj U Kidav, Dynamic Precision Scaling in MAC Units for Energy-Efficient Computations in Deep Neural Network Accelerators, 28th International Symposium on VLSI Design and Test (VDAT-2024), pp. 1-7, 2024.
31. Muthukumar Balamurugan, Varun P. Gopi, Exploring Single Frame Deraining Techniques: A Comprehensive Investigation, 2024 Third International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT 2024), pp. 1-9, 2024.
30. M. Raju and Gopi, Varun P, “Early diagnosis of Alzheimer’s disease using multiscale and multipath convolutional neural network,” in Hinweis International Conference on Computer Science, Cyber Security and Information Technology (CCIT), vol.9 (2), 2023.
29. S. Sharan, A. K. Krishna, A. S. Rao, and Gopi, Varun P, “Repar-net: Re-parameterized encoders and attentive feature arsenals for fast video denoising,” in 2022 International Conference on Robotics and Automation (ICRA), IEEE, 2022, pp. 633–639.
28. S. Deepudev, P. Palanisamy, Gopi, Varun P, and M. K. Nelli, “A machine learning-based approach for prediction of actual landing time of scheduled flights,” in Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications: ICMISC 2020, Springer, 2021, pp. 755–766.
27. K. Nija, Gopi, Varun P, and V. Anitha, “A neural network based optic disc segmentation,” in 2021 Sixth International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), IEEE, 2021, pp. 297–302.
26. M. Raju, Gopi, Varun P, and V. Anitha, “Multi-class classification of alzheimer’s disease using 3dcnn features and multilayer perceptron,” in 2021 Sixth International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), IEEE, 2021, pp. 368–373.
25. S. Sabi and Gopi, Varun P, “A dual-path cnn based age-related macular degeneration detection,” in 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT), IEEE, 2021, pp. 1–6.
24. S. Sowrirajan, A. G. Prakash, S. Naven, Gopi, Varun P, and S. Deivalakshmi, “Person detection, tracking and following in a differential drive mobile robot,” in 2021 International Conference on Intelligent Technologies (CONIT), IEEE, 2021, pp. 1–6.
23. A. Thomas, P. Harikrishnan, J. Nisha, Gopi, Varun P, and P. Palanisamy, “Pothole and speed bump classification using a five-layer simple convolutional neural network,” in Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications: ICMISC 2020, Springer, 2021, pp. 491–499.
22. K. Nadiya and Gopi, Varun P, “Dorsal hand vein biometric recognition based on orientation of local binary pattern,” in 2020 IEEE-HYDCON, IEEE, 2020, pp. 1–6.
21. M. Raju, T. Sudila, Gopi, Varun P, and V. Anitha, “Classification of mild cognitive impairment and alzheimer’s disease from magnetic resonance images using deep learning,” in 2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), IEEE, 2020, pp. 52–57.
20. A. Thomas, P. Harikrishnan, P. Palanisamy, and Gopi, Varun P, “Moving vehicle candidate recognition and classification using inception-resnet-v2,” in 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), IEEE, 2020, pp. 467–472.
19. K. Nija, V. Anitha, and Gopi, Varun P, “An automated method of optic disc detection from retinal fundus images,” in 2019 International Conference on Contemporary Computing and Informatics (IC3I), IEEE, 2019, pp. 111–116.
18. G. Palanisamy, P. Ponnusamy, and Gopi, Varun P, “An adaptive enhancement method for low contrast color retinal images based on structural similarity,” in 2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET), IEEE, 2018, pp. 1–4.
17. P. M. Kumar, C. Surya, and Gopi, Varun P, “Identification of ayurvedic medicinal plants by image processing of leaf samples,” in 2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), IEEE, 2017, pp. 231–238.
16. K. Fasna, Gopi, Varun P, and M. Vivek, “Low-complexity cfo compensation technique for uplink ofdma,” in 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), IEEE, 2016, pp. 918–923.
15. K. Reeha, K. Shailaja, and Gopi, Varun P, “Undecimated complex wavelet transform-based bleeding detection for endoscopic images,” in 2016 Second International Conference on Cognitive Computing and Information Processing (CCIP), IEEE, 2016, pp. 1–6.
14. B. Akbar, Gopi, Varun P, and V. S. Babu, “Colon cancer detection based on structural and statistical pattern recognition,” in 2015 2nd International Conference on Electronics and Communication Systems (ICECS), IEEE, 2015, pp. 1735–1739.
13. C. Dilna and Gopi, Varun P, “A novel method for bleeding detection in wireless capsule endoscopic images,” in 2015 International Conference on Computing and Network Communications (CoCoNet), IEEE, 2015, pp. 854–858.
12. N. E. Koshy and Gopi, Varun P, “A new method for ulcer detection in endoscopic images,” in 2015 2nd International Conference on Electronics and Communication Systems (ICECS), IEEE, 2015, pp. 1725–1729.
11. M. Mathew and Gopi, Varun P, “Transform-based bleeding detection technique for endoscopic images,” in 2015 2nd International Conference on Electronics and Communication Systems (ICECS), IEEE, 2015, pp. 1730–1734.
10. V. S. Babu, Gopi, Varun P, S. Thankachan, and M. Baiju, “A novel programmable current reference with fgmosfets,” in Proceedings of the 2014 International Conference on Circuits, Systems, and Control, Interlaken, Switzerland, 2014.
09. Gopi, Varun P, P. Palanisamy, et al., “Regularization-based ct image reconstruction using algebraic techniques,” in 2014 International Conference on Electronics and Communication Systems (ICECS), IEEE, 2014, pp. 1–3.
08. Gopi, Varun P, M. Pavithran, T. Nishanth, S. Balaji, V. Rajavelu, and P. Palanisamy, “A novel wavelet-based denoising algorithm using level dependent thresholding,” in 2014 International Conference on Electronics and Communication Systems (ICECS), IEEE, 2014, pp. 1–6.
07. Gopi, Varun P, M. Pavithran, T. Nishanth, S. Balaji, V. Rajavelu, and P. Palanisamy, “Undecimated double density dual tree wavelet transform based image denoising using a subband adaptive threshold,” in 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), IEEE, 2014, pp. 743–748.
06. S. K. Singh, Gopi, Varun P, and P. Palanisamy, “Image security using des and rns with reversible watermarking,” in 2014 international conference on electronics and communication systems (ICECS), IEEE, 2014, pp. 1–5.
05. Gopi, Varun P and P. Palanisamy, “Ct image reconstruction based on combination of iterative reconstruction technique and total variation,” in 2013 International Conference on Signal Processing, Image Processing & Pattern Recognition, IEEE, 2013, pp. 49–52.
04. Gopi, Varun P, M. Pavithran, T. Nishanth, S. Balaji, V. Rajavelu, and P. Palanisamy, “Image denoising based on undecimated double density dual tree wavelet transform and modified firm shrinkage,” in 2013 2nd International Conference on Advanced Computing, Networking, and Security, IEEE, 2013, pp. 68–73.
03. Gopi, Varun P, Z. Zhu, P. Palanisamy, K. A. Wahid, and P. Babyn, “Iterative method for ct image reconstruction from reduced number of projection views,” in 2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), IEEE, 2013, pp. 1–4.
02. Gopi, Varun P and P. Palanisamy, “Endoscopic image compression based on double density discrete wavelet transform and spiht coding,” in 2011 IEEE International Conference on Control System, Computing and Engineering, IEEE, 2011, pp. 466–471.
01. Gopi, Varun P, V. S. Babu, and M. Baiju, “Scaling issues in iddg finfet at small gate length,” in The 3rd International Conference on Information Sciences and Interaction Sciences, IEEE, 2010, pp. 683–687.
National Conferences
1. MR Image Enhancement using Dual-Tree Complex Wavelet Transform, National Conference on Systems Energy and Environment (NCSEE), September 2015.
2. Total Variation Based CT Image Reconstruction using Iterative Techniques, Proc. of 4th National Technological Congress, Feb. 2014.
3. Security of an Image using Reversible Watermarking with RNS, Proc. of 4th National Technological congress, Feb. 2014.
4. Independently Driven Double gate FinFET Scalable to 10 nm, Proc. of 10th National Conference on Technological Trends, pp. 319−324, Nov. 2009.
|
No. |
Title of Project |
Funding Agency |
Duration |
Role |
Amount and Status |
|
1 |
Development of Efficient Algorithms for Detecting Eye Diseases |
CERD-APJAKTU Trivandrum, Kerala |
6-01-17 to 25-05-18 |
PI |
(7.5 Lakhs) Completed |
|
2 |
Developed Efficient Traffic Monitoring Methods and Under Vehicle Scanning Inspection System |
VANDI Technologies PTE LTD, Singapore |
01-12-18 to 30-11-21 |
Co-I |
(40 Lakhs) Completed |
|
3 |
Automated Prediction of Alzheimer’s disease from Optical Coherence Tomography Images of Retina using Artificial Intelligence |
SERB |
02-03-19 to 01-03-22 |
PI |
(19.48 Lakhs) Completed |
|
4 |
4D Trajectory-based Air Traffic Flow Management System using System-Wide Information Management (4DADFMS) |
Airport Authority of India |
19-11-20 to 15-10-22 |
Co-I |
(11.5 Lakhs) Completed |
|
5 |
Machine Learning/Artificial Intelligence (ML/AI) Hardware/Software Framework for Vyomnoids |
Indian Space Research Organization (ISRO) |
06-09-21 to 05-09-24 |
PI |
(49.55 Lakhs) Ongoing |
| 6 | Automated Segmentation and Analysis of Neonatal and Infant Brain Magnetic Resonance Images | SERB | 19-01-24 to 30-11-27 | PI |
(22.93 Lakhs) Ongoing |
| 7 | Ultra-Low Power SHAKTI RISC V-Based Lightweight Edge AI Processor for IoT-Enabled Healthcare Applications | MeiTY, Government of India (SMDP C2S Scheme, Category-II) | 15-01-24 to 14-01-29 | PI |
(288 Lakhs) Ongoing |
| No. | Name of the Ph.D. Scholar | Title of Ph.D. Thesis | Role | Category | Status |
| 1 | Gayathri S. | Machine Learning Algorithms for Detection and Classification of Diabetic Retinopathy | Supervisor | Full-time-Institute Fellowship | Completed-2021 |
| 2 | Hariksrishnan P. M. | Development of Real-time and Accurate Computer Vision Algorithms for Intelligent Traffic Monitoring | Supervisor | Full-Time-Project | Completed-2022 |
| 3 | Sunija A. P. | Deep Learning-Based Retinal Disease Detection from Optical Coherence Tomography Images | Supervisor | Full-Time-Project | Completed-2022 |
| 4 | Nisha J. S. | Colorectal Polyp Detection Based on Machine Learning & Deep Learning Approaches | Supervisor | Full-time-Institute Fellowship | Completed-2022 |
| 5 | Nija K. S. | Design, Implementation, and Analysis of Methods for Localization and Segmentation of Optic Disc in Retinal Fundus Images | Co-Supervisor | Full-Time-KTU | Completed-2023 |
| 6 | Sabi S. | Design and Development of Deep Learning Models for the Detection and Grading of AMD from Retinal OCT Images | Co-Supervisor | Part-Time-KTU | Ongoing |
| 7 | R. Shalini | Deep Learning-based Segmentation and Localization of Optic Disc in Diabetic Retinopathy Images | Supervisor | Part-Time | Ongoing |
| 8 | Arun P. S. | Advanced Techniques for Speckle Noise Elimination in OCT Images Using DT-CWT Fusion, Residual Learning, and Non-Local Subband Modulation | Supervisor | Full-Time-QIP | Thesis Submitted |
| 9 | Akshay Raj, M. R. | Efficient Hardware Accelerator Design for AI/ML Algorithms: Enabling High-Performance and Energy-Efficient Computing | Supervisor | Full-Time-Project | Ongoing |
| 10 | Nisan Pranavah Raja | Deep Learning-based Segmentation of the Foveal Avascular Zone and Vessels in OCT Angiography Images | Supervisor | Full-time-Institute Fellowship | Ongoing |
| 11 | Muthukumar B. | Image Dehazing and Deraining Techniques Using Deep Learning for Enhanced Visual Perception in Challenging Weather | Supervisor | Part-Time-External | Ongoing |
| 12 | Sreeraj S. | Early Detection of Autism Spectrum Disorder based on Visual Exploration of Images | Co-Supervisor | Full-Time-QIP | Ongoing |
| 13 | Jaya Ratnam Popuri | Defect Detection in Weld Joints based on Visual Inspection using Deep Learning | Co-Supervisor | Part-Time-Internal | Ongoing |
| 14 | Alex J Paul | SoC Design for Medical Imaging Applications | Supervisor | Part-Time External | Ongoing |
|
Postgraduate Thesis Guidance |
45 Completed |
2 Ongoing |
|
Undergraduate Project Guidance |
16 Completed |
0 Ongoing |
|
Author(s) |
Title of Book/Monograph |
Name of Publishers |
Year of Publication |
|
Dr. V Suresh Babu, Dr. Varun P. Gopi |
Basics of Electronics Engineering |
OWL Publishers |
2015 |
|
Dr. V Suresh Babu, Dr. Varun P. Gopi |
Introduction to Electronics Engineering |
OWL Publishers |
2015 |
09. A. Thomas. Gopi, Varun P and B. Francis, “Early stage identification of autism in children using gesture monitoring based on artificial intelligence,” in Advances in Artificial Intelligence in Biomedical Engineering, Elsevier, in press.
08. B. Francis. Gopi, Varun P, C. Devi, and A. Thomas, “Brain tumor segmentation using advanced deep learning techniques,” in Advances in Artificial Intelligence in Biomedical Engineering, Elsevier, in press.
07. A. Thomas and Gopi, Varun P, “Artificial intelligence for diabetes management,” in Advances in Artificial Intelligence in Biomedical Engineering, Elsevier, in press.
06. S. A. Ramamoorthy and Gopi, Varun P, “Breast ultrasound image processing,” in Research Anthology on Medical Informatics in Breast and Cervical Cancer, IGI Global, 2023, pp. 586–609.
05. A. Avinash, P. Biju, P. Premanath, A. Thomas, and Gopi, Varun P, “An improved method for automated detection of microaneurysm in retinal fundus images,” in Edge-of-Things in Personalized Healthcare Support Systems, Elsevier, 2022, pp. 173–186.
04. S. V. Sanker, N. B. R. S. Bilakanti, A. Thomas, Gopi, Varun P, and P. Palanisamy, “Emotion-recognition-based music therapy system using electroencephalography signals,” in Edge-of-Things in Personalized Healthcare Support Systems, Elsevier, 2022, pp. 217–235.
03. A. Thomas, P. Harikrishnan, and Gopi, Varun P, “Funnet: A deep learning network for the detection of age-related macular degeneration,” in Edge-of-Things in Personalized Healthcare Support Systems, Elsevier, 2022, pp. 157–172.
02. Gopi, Varun P, “Brain tissue segmentation to detect schizophrenia in gray matter using mr images,” in Handbook of Decision Support Systems for Neurological Disorders, Elsevier, 2021, pp. 21–32.
01. Gopi, Varun P, P. Palanisamy, and S. I. Niwas, “Capsule endoscopic colour image denoising using complex wavelet transform,” in Communications in Computer and Information Science, Springer, 2012, pp. 220–229.
|
S.No |
Name of Award |
Awarding Agency |
Year |
|
1. |
M. Tech. Fellowship (GATE) |
MHRD, Govt. of India |
October 2007-October 2009 |
|
2. |
Ph.D. Fellowship |
MHRD, Govt. of India |
August 2010-October 2013 |
|
3. |
Canadian Commonwealth Scholarship |
Government of Canada |
Feb-July 2012 |
|
4. |
APJ Abdul Kalam, Kerala Technological University, “Researcher of The Year 2016” |
Government of Kerala |
January 2017 |
RISC-V SoC Design and Fabrication Lab
Medical Image Computing & Artificial Intelligence Hardware (MIC-AIH) LAB
Associate Editor- Springer Journal of Physical & Engineering Sciences in Medicine (SCI, Impact Factor-4.09)
Editorial Board Member- Scientific Reports - Nature (SCI, Impact Factor-3.8)
1. Wangchuk Doma, Ophthalmologist/Eye Surgeon, Venu Eye Institute and Research Centre, New Delhi, India.
2. Dr. S Sujatha, Institute of Ophthalmology, Joseph Eye Hospital, Tiruchirappalli, Tamilnadu, India.
3. Fr. Varghese Palatty, Assistant Director, Little Flower Hospital and Research Centre, Angamaly, Kerala, India.
4. Dr. Rajith K Ravindren, Assistant Professor, Department of Clinical Psychology, Institute of Mental Health & Neuro Sciences (IMHANS), Kozhikode, Kerala, India.
5. Dr. Jayaraj U. Kidav, Scientist-D, Smart Technology and Education (STED), NIELIT Calicut, Kerala, India.
1. Dr. Ebrahim Bedeer Muhamed, Assistant Professor, Department of Electrical and Computer Engineering, University of Saskatchewan, Canada
2. Dr. Khan A. Wahid, Professor, Department of Electrical and Computer Engineering, University of Saskatchewan, Canada
3. Dr. Issac Niwas S, Research Manager, Emirates Advanced Research & Technology Holding (EARTH), Abu Dhabi, UAE.
4. Dr. T. Kirubarajan, Professor and Distinguished Engineering Professor, Electrical and Computer Engineering Department (ITB-A112), McMaster University, Canada
5. Dr. Alex Noel Joseph Raj, Professor, Department of Electronics and Information Engineering, Shantou University, China.
6. Prof. Makhan Raj Sharma, Professor, School of Computing & Digital Technology, Birmingham City University, UK.
1. Department Time Table Co-ordinator- June 2018-September 2022.
2. Department MIS Co-ordinator- June 2018-September 2022.
3. Staff Advisor-PG- January 2019-June 2023.
4. Faculty In Charge-Music Club of NITT- January 2019-June 2021
5. Member Ph.D. Admission Committee- June 2018-December 2020
1. Member-PG Board of Studies, Kannur University, Kerala 2018 to till date.
2. Academic Council Member- Kamaraj College of Engineering and Technology, Virudhunagar, Madurai.
3. BOS Member-Electronics & Biomedical Engineering, APJ Abdul Kalam Technological University Kerala 18.08.2023 to till date.
1. 5-Days Online Workshop on FPGA-Based SoC Design Targeted for Implementing AI/ML Algorithms during 27-31 December 2021.
2. SERB Sponsored Karyashala High-End Workshop on Biomedical Signal & Image Processing: A hands-on Approach during 22-28 August 2022.
3. SERB Sponsored Karyashala High-End Workshop on Hardware Implementation of Machine Learning and Deep Learning Algorithms using FPGA: A Hands-On Approach from 05-11 December 2022.
|
SL. No. |
Topic |
Date |
Inviting Organization |
|
1 |
Sparsity in Signal Processing |
17-03-14 |
Government Engineering College Calicut |
|
2 |
MATLAB: Concept and Programming |
12-02-15 |
Younus College of Engineering, Kollam, Kerala |
|
3 |
Research Methodology |
26-01-15 |
Government Engineering College, Calicut, Kerala |
|
4 |
Sparsity in Signal Processing |
18-08-15 |
Government Engineering College, Kannur, Kerala |
|
5 |
Compressed Sensing |
23-09-15 |
College of Engineering, Thalassery, Kerala |
|
6 |
Data Mining With MATLAB |
18-08-16 |
Government Engineering College, Sreekrishnapuram, Palakkad, Kerala |
|
7 |
Application of Signal Processing |
24-11-16 |
College of Engineering, Kidangoor, Kerala |
|
8 |
Medical Image Processing |
03-02-17 |
Government Engineering College, Sreekrishnapuram, Palakkad |
|
9 |
Image Processing in the Medical Field |
21-02-17 |
Government Engineering College, Sreekrishnapuram, Palakkad, Kerala |
|
10 |
Sparse Signal Processing |
01-03-17 |
LBS College of Engineering, Kasargod, Kerala |
|
11 |
Mathematical Modelling in Medical Diagnosis |
21-09-17 |
Mahendra College of Engineering, Salem, Tamil Nadu |
|
12 |
Introduction to Electronic Circuits |
23-10-18 |
Kalasalingam University Madurai |
|
13 |
Medical Image Processing |
01-01-19 |
Rajadhani College of Engg. Trivandrum |
|
14 |
Recent Trends in Biomedical Image Processing |
24-06-19 |
CSE Department, TKM College of Engineering |
|
15 |
Deep Learning in Medical Image Processing and Analysis |
22-08-19 to 23-08-19 |
SRM University Chennai |
|
16 |
Research Avenues in Signal Processing |
19-09-19 |
Sree Chitra Thirunal College of Engineering, Trivandrum |
|
17 |
Agriculture Intelligence |
09-03-20 |
NSN Engineering College, Karur |
|
18 |
Exploring the Nuances of Deep Learning for Research Applications-A Deeper Experience |
15-07-20 |
Karunya University Coimbatore |
|
19 |
Artificial Intelligence in Healthcare |
19-07-20 |
Kumaraguru College of Technology, Coimbatore |
|
20 |
Machine learning Algorithms for medical image processing |
04-08-20 |
Velalar College of engineering & technology, Erode |
|
21 |
Machine Learning & Deep Learning |
15-06-20 |
Sahrdaya College of engineering, Kerala |
|
22 |
Introduction to Artificial Intelligence |
22-09-20 |
NIT Puducherry |
|
23 |
Overview of Deep Learning and its Applications in Healthcare |
28-10-20 |
Sreenivasa Institute of Technology and Management Studies |
|
24 |
Medical Image Processing |
07-11-20 |
Saveetha Engineering College, Chennai |
|
25 |
Internet of Medical Things |
23-11-20 |
IIIT Trichy |
|
26 |
Deep Learning For Medical Image Analysis |
07-12-20 |
Velammal Institute of technology, Chennai |
|
27 |
Deep Learning for Medical Image Analysis |
14-12-20 |
K. J. Somaiya Institute of Engineering and Information Technology, Mumbai. |
|
28 |
Medical Image Processing |
18-12-20 |
Saveetha Engineering College, Chennai |
|
29 |
Deep Learning For Medical Image Analysis |
19-12-20 |
Velammal Institute of technology, Chennai |
|
30 |
Regression and Clustering for IoT data |
30-12-20 |
St. Joseph’s College of Engineering, Palai, Kerala |
|
31 |
Deep Learning For Medical Image Analysis |
09-01-21 |
Velammal Institute of technology, Chennai |
|
32 |
Deep Learning For Medical Image Processing |
11-01-21 |
Mar Baselios College of Engineering And Technology, Trivandrum, Kerala |
|
33 |
IoT for medical Signal & Image Processing |
12-01-21 |
Amal Jyothi College of Engineering, Kanjirappally, Kerala |
|
34 |
Medical Image Processing |
22-01-21 |
Saveetha Engineering College, Chennai |
|
35 |
Biomedical Image Processing |
10-08-21 |
College of Engineering, Perumon, Kerala |
|
36 |
Introduction to Wavelets and Its Applications |
11-08-21 |
Al-Ameen College, Edathala, Kerala |
|
37 |
Introduction to Machine Learning |
12-08-21 |
St. Joseph’s College of Engineering, Palai, Kerala |
|
38 |
Alzheimer's Disease and Related Dementias |
13-08-21 |
College of Engineering, Perumon, Kerala |
|
39 |
Deep Learning for Medical Image Analysis / Processing |
10-09-21 |
Sree Chitra Thirunal College of Engineering, Trivandrum, Kerala |
|
40 |
Introduction to Machine & Deep Learning |
03-12-21 |
R. M. K. College of Engineering, Kavaraipettai |
|
41 |
Fundamentals of Image Processing |
07-02-22 |
SRM University Chennai |
|
42 |
Introduction to Machine Learning |
28-03-22 |
CVR College of Engineering, Telangana |
|
43 |
AI in Medical Imaging and IoT |
26-04-22 |
K. Ramakrishnan College of Technology, Trichy |
|
44 |
Deep Learning for Medical Image Processing |
11-05-22 |
Karunya University, Coimbatore |
|
45 |
Biomedical Image Processing |
04-07-22 |
Government College of Engineering, Salem |
| 46 | Reinforcement Learning | 03-02-23 | Government College of Engineering, Kannur, Kerala |
| 47 | Deep Learning for Data Analytics | 26-03-23 | NIT Calicut |
| 48 | The Role of Medical Image Computing and Machine Learning in Healthcare | 28-03-23 | SSN College of Engineering, Chennai |
| 49 | Application of ML and DL Techniques for Energy Systems | 25-04-23 | School of Engineering, CUSAT |
| 50 | Introduction to Deep Learning and Its Application in Medical Image Processing | 26-04-23 | Dr. Mahalingam College of Engineering & Technology, Pollachi |
| 51 | Introduction to Machine Learning & Deep Learning and Its Application in Energy Systems | 05-05-23 | Kings College of Engineering, Thanjavur |
| 52 | Computing Convolutions | 22-05-23 | K. Ramakrishna College of Engineering and Technology, Tiruchirappalli |
| 53 | Introduction to Deep Learning | 21-07-23 | NIT Kurukshetra |
| 54 | Deep Learning in Computer Vision | 22-07-23 | NIT Kurukshetra |
| 55 | Introduction to Deep Learning and Its Application in Medical Image Processing | 21-08-23 | VIT Vellore |
| 56 | Hardware Accelerator for Neural Networks | 18-10-23 | K. Ramakrishna College of Engineering, Tiruchirappalli |
| 57 | Energy-Efficient Deep Neural Network | 04-12-23 | Saranathan College of Engineering, Tiruchirappalli |
| 58 | Neural Networks | 30-01-24 | SRM TRP Engineering College |
| 59 | Introduction to Deep Learning and its Applications in Computer Vision | 05-02-24 to 07-02-24 | SRM University Chennai |
| 60 | Basics of Signal Processing | 08-10-24 |
G. H. Raisoni College of Engineering, Nagpur |
| 61 | Energy Efficient Neural Networks | 28-11-24 | Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai |
| 62 | The impact of AR and VR Technology on enhanced diagnostic accuracy | 13-12-24 | Sona College of Technology, Salem |
| 63 | Advancing Neurological Imaging: A Deep Learning Algorithm for Classifying Intracranial Hemorrhage on CT/MRI | 20-12-24 | SASTRA Deemed University, Thanjavur |
1. IEEE Transactions on Industrial Electronics
2. IEEE Signal Processing Letters
3. Journal of Visual Communication and Image Representation
4. IET Image Processing
5. Elsevier Biocybernetics & Biomedical Engineering
6. Journal of Intelligent Systems
7. Journal of Inverse and Ill-Posed Problems
8. The Anatolian Journal of Cardiology
9. IEEE Transactions on Medical Imaging
10. IEEE Sensors Journal
11. International Journal of Computer Assisted Radiology and Surgery
12. Elsevier Signal Processing
13. IEEE Journal of Biomedical and Health Informatics
14. Elsevier Microelectronics Journal
15. Inverse Problems in Science & Engineering
16. IETE Journal of Research
17. BioMedical Engineering OnLine
18. Springer Journal of Signal, Image and Video Processing
19. Elsevier Journal of Computers and Electrical Engineering
20. Elsevier Journal of Visual Communication and Image Representation
21. Wiley Electronic Letters
22. Elsevier Journal of Biomedical Signal Processing & Control
23. Elsevier Journal of Computer Methods and Programs in Biomedicine
24. Elsevier Journal of Computers in Medicine & Biology
25. Springer Journal of Physical & Engineering Sciences in Medicine
26. Interdisciplinary Sciences: Computational Life Sciences
27. Journal of Biomedical Engineering: Applications, Basis and Communications
28. IEEE Transactions on Industrial Informatics
29. Trends in Computer Science and Information Technology
30. IEEE Access
31. Annals of Alzheimer’s and Dementia Care
32. Journal of Engineering in Medicine
33. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
34. Springer Journal of Soft Computing
35. Journal of International Medical Research
36. IEEE Internet of Things Journal
37. Egyptian Informatics Journal
38. BMC Medical Informatics and Decision-Making
39. IEEE Transactions on Systems, Man and Cybernetics: Systems
40. Springer Nature Computer Science
41. IEEE Transactions on Geoscience and Remote Sensing
42. Journal of Computational and Mathematical Methods in Medicine
43. Elsevier Digital Signal Processing
44. International Journal of Imaging Systems and Technology
45. Journal of Biomedical Engineering: Applications, Basis, and Communications
46. Sadhana
https://scholar.google.co.in/citations?user=w_u13MEAAAAJ&hl=en
https://nitt.irins.org/profile/93107
Associate Professor
Medical Image Computing & Artificial Intelligence Hardware (MIC-AIH) Lab
RISC-V SoC Design and Fabrication Lab
Department of Electronics and Communication Engineering,
National Institute of Technology,
Tiruchirappalli - 620 015, Tamil Nadu.
Telephone: +91-431-2504495,4501
Mobile: +919995114547
E-mail: varun@nitt.edu, vpgcet@gmail.com
