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A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network.

S. Rajeev, M. Rajasekaran, V. Govindaraj, and T. Arunprasath. Biomed. Signal Process. Control., (2022)

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Anitha Thiyagarajan

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Crossover smell agent optimized multilayer perceptron for precise brain tumor classification on MRI images.M. Arumugam, A. Thiyagarajan, L. Adhi, and S. Alagar. Expert Syst. Appl., 238 (Part B): 121453 (March 2024)PET image reconstruction using ANN.T. Arunprasath, R. Pallikonda, and S. Kannan. Int. J. Imaging Syst. Technol., 24 (3): 249-255 (2014)Computer-aided automated discrimination of Alzheimer's disease and its clinical progression in magnetic resonance images using hybrid clustering and game theory-based classification strategies.P. Kumar, T. Arunprasath, P. Murugan, and V. Govindaraj. Comput. Electr. Eng., (2018)Automated unsupervised learning-based clustering approach for effective anomaly detection in brain magnetic resonance imaging (MRI).V. Govindaraj, A. Thiyagarajan, M. Rajasekaran, Y. Zhang, and R. Krishnasamy. IET Image Process., 14 (14): 3516-3526 (2020)ANFIS-EM approach for PET brain image reconstruction.T. Arunprasath, P. Murugan, and K. Subramanian. Int. J. Imaging Syst. Technol., 25 (1): 1-6 (2015)Agnostic multimodal brain anomalies detection using a novel single-structured framework for better patient diagnosis and therapeutic planning in clinical oncology.K. Ramaraj, V. Govindaraj, Y. Zhang, P. Murugan, S. Wang, A. Thiyagarajan, and S. Sankaran. Biomed. Signal Process. Control., (2022)An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images.A. Vishnuvarthanan, M. Rajasekaran, V. Govindaraj, Y. Zhang, and A. Thiyagarajan. Appl. Soft Comput., (2017)Development of a combinational framework to concurrently perform tissue segmentation and tumor identification in T1 - W, T2 - W, FLAIR and MPR type magnetic resonance brain images.A. Vishnuvarthanan, M. Rajasekaran, V. Govindaraj, Y. Zhang, and A. Thiyagarajan. Expert Syst. Appl., (2018)Hybrid D-OCapNet: Automated Multi-Class Alzheimer's Disease Classification in Brain MRI Using Hybrid Dense Optimal Capsule Network.A. Nisha, M. Rajasekaran, K. Ramaraj, V. Govindaraj, T. Arunprasath, and V. Muneeswaran. Int. J. Pattern Recognit. Artif. Intell., 37 (15): 2356025:1-2356025:33 (December 2023)A fully automated hybrid methodology using Cuckoo-based fuzzy clustering technique for magnetic resonance brain image segmentation.S. Alagarsamy, K. Kamatchi, V. Govindaraj, and A. Thiyagarajan. Int. J. Imaging Syst. Technol., 27 (4): 317-332 (2017)

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Anitha Thiyagarajan

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