Our Publications

Home
CAIR
Data Science
Our Publications

P. Koluragi, Y. Deshpande, G. Dhumale, S. Chikkamath, Nirmala S. R and S. V. Budihal, "Multi-Model Approach for Alzheimer Disease Detection and Classification," 2024 3rd International Conference for Innovation in Technology (INOCON), Bangalore, India, 2024, pp. 1-5, doi: 10.1109/INOCON60754.2024.10511750.
R. Shidramshettar, A. Bonageri, V. Kumbargeri, S. Chikkamath, Nirmala S R and S. Budihal, "Enhanced Retinal Vessel Segmentation Using U-Net Framework," 2024 IEEE International Conference on Contemporary Computing and Communications (InC4), Bangalore, India, 2024, pp. 1-5, doi: 10.1109/InC460750.2024.10649089.
Jyoti Prakash Medhi, Nirmala S.R., Simantika Choudhury and Samarendra Dandapat, “Improved detection and analysis of Macular Edema using modified guided image filtering with modified level set spatial fuzzy clustering on Optical Coherence Tomography images”, 2023, Biomedical Signal Processing and Control, Vol. 79, no.2, pp. 1041-49. (Q1)
Priyanka Kaushik and S R Nirmala, “Automated system for detection and classification of cystoid macular oedema using OCT images”, 2023, Computer Methods in Biomechanics and Biomedical Engineering., Imaging & Visualization, pp. 1 – 15. (Q2)(https://doi.org/10.1080/21681163.2023.2237606)
Saikia S.J., Nirmala S.R., “Identification of disease genes and assessment of eye-related diseases caused by disease genes using JMFC and GDLNN”, 2022, Computer Methods in Biomechanics and Biomedical Engineering, Vol. 25, no.4, pp. 359-370.
Jarina B. Mazumdar & S. R. Nirmala, “Deep learning framework for biometric authentication using retinal images”, 2022, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 11:3, pp. 740-749. (Q1)
Sandilya, M., Nirmala, S.R. “Compressed Sensing MRI Reconstruction Using Convolutional Dictionary Learning and Laplacian Prior”, In: Senjyu, T., Mahalle, P., Perumal, T., Joshi, A. (eds) IOT with Smart Systems. Smart Innovation, Systems and Technologies, 2022, vol 251. Springer, Singapore. https://doi.org/10.1007/978-981-16-3945-6_65
Kanakaraddi, S.G., Chikaraddi, A.K., Aivalli, N., Maniyar, J., Singh, N. (2022). “Sentiment Analysis of Covid-19 Tweets Using Machine Learning and Natural Language Processing”, Advances in Intelligent Systems and Computing, vol 1415. Springer, Singapore. https://doi.org/10.1007/978-981-16-7330-6_28
Gull, Karuna, Suvarna Kanakaraddi, and Ashok Chikaraddi. "COVID-19 Outbreak Prediction using Additive Time Series Forecasting Model." Trends in Sciences 19.22 (2022): 1919-1919.
Desai, Shrinivas D. "Novel 3-fold metal artifact reduction method for CT images." Biomedical Signal Processing and Control 70 (2021): 102967. https://doi.org/10.1016/j.bspc.2021.102967
Desai, S. et.al, (2021). Low-Dose Imaging: Prediction of Projections in Sinogram Space. In: Smys, S., Tavares, J.M.R.S., Bestak, R., Shi, F. (eds) Computational Vision and Bio-Inspired Computing. Advances in Intelligent Systems and Computing, vol 1318. Springer, Singapore. https://doi.org/10.1007/978-981-33-6862-0_43
Desai, Shrinivas D., et al. "Interpolation based low dose CT image reconstruction." Procedia Computer Science 171 (2020): 2760-2769. https://doi.org/10.1016/j.procs.2020.04.300
S. D. Desai, et.al, "Breast Cancer Detection Using GAN for Limited Labeled Dataset," 2020 12th International Conference on Computational Intelligence and Communication Networks (CICN), Bhimtal, India, 2020, pp. 34-39, doi: 10.1109/CICN49253.2020.9242551.
An Explainable AI-Based Skin Disease Detection. Gayathree Ballari, Shantala Giraddi, Chickerur S, Kanakareddi S. ICT Infrastructure and Computing: Proceedings of ICT4SD 2022 2022 Nov 8 (pp. 287-295). Singapore: Springer Nature Singapore.
Distributed Deep Learning with Data Parallelism for Diabetic Retinopathy Classification. Patil SS, Patil MS, Chickerur S, Shantala Giraddi, Shahapur SN, Hadalageri International Conference on Smart Trends in Computing and Communications 2023 Jan 24 (pp. 49-60). Singapore: Springer Nature Singapore.
Assessment of Lung Cancer Histology Using Efficient Net. Vishal Giraddi , Shantala Giraddi, Kanakaraddi S, Patil M. Mobile Computing and Sustainable Informatics: Proceedings of ICMCSI 2023 2023 May 27 (pp. 395-403). Singapore: Springer Nature Singapore.
A Study on Kidney Segmentation Techniques Using DNN Models. Sulibhavi PH, Kanakaraddi SG, Shantala Giraddi. International Conference on Smart Computing and Communication 2023 Jan 24 (pp. 839-849). Singapore: Springer Nature Singapore.
Glaucoma Diagnosis: Handcrafted Features Versus Deep Learning. Shantala Giraddi, Mugdha S, Kanakaraddi S, Chickerur S. Mobile Computing and Sustainable Informatics: Proceedings of ICMCSI 2022 2022 Jul 16 (pp. 869-881). Singapore: Springer Nature Singapore.
Pipeline Parallelism in Distributed Deep Learning for Diabetic Retinopathy Classification. Patil SA, Patil MS, Shantala Giraddi, Chickerur S, Boormane VM, Gamanagatti G. Procedia Computer Science. 2022 Jan 1;215:393-402.
Kanakaraddi, S.G., Chikaraddi, A.K., Aivalli, N., Maniyar, J., Singh, N. (2022). “Sentiment Analysis of Covid-19 Tweets Using Machine Learning and Natural Language Processing”, Advances in Intelligent Systems and Computing, vol 1415. Springer, Singapore. https://doi.org/10.1007/978-981-16-7330-6_28.
Gull, Karuna, Suvarna Kanakaraddi, and Ashok Chikaraddi. "COVID-19 Outbreak Prediction using Additive Time Series Forecasting Model." Trends in Sciences 19.22 (2022): 1919-1919.
A. Jalannavar, S. G. Kanakaraddi and V. S. Handur, "Migraine Prediction Using Deep Learning Model," 2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), Mandya, India, 2022, pp. 1-8, doi: 10.1109/ICERECT56837.2022.10059843.
S. Korti and S. G. Kanakaraddi, "Depression detection from Twitter posts using NLP and Machine learning techniques," 2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), Mandya, India, 2022, pp. 1-6, doi: 10.1109/ICERECT56837.2022.10059773.
Sulibhavi, P.H., Kanakaraddi, S. G. Kanakaraddi, “A Study on Kidney Segmentation Techniques Using DNN Models”, Lecture Notes in Networks and Systems 2023, 650 LNNS, pp. 839–849.

Admission Help

+91-836-2378103

info@kletech.ac.in

coe@kletech.ac.in (Controller of Examinations)

Submit