A fast Algorithm for Automatic Segmentation of Pancreas Histological Images for Glucose Intolerance Identification
Tathagata Bandyopadhyay, Shyamali Mitra, Sreetama Mitra, Nibaran Das, Luis Miguel Rato, and Mrinal Kanti Naskar
International Conference on Computing & Communications (IC3) 2018

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Analysis of pancreas histological images for glucose intolerance identifcation using wavelet decomposition.
Tathagata Bandyopadhyay, Sreetama Mitra, Shyamali Mitra, Luis Miguel Rato and Nibaran Das.
In Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications, pages 653-661. Springer, 2017

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Dimensionality reduction for eeg signal using fuzzy discernibility matrix.
Rajdeep Chatterjee, Tathagata Bandyopadhyay, Debarshi Kumar Sanyal, and Dibyajyoti Guha.
In Proceedings of the 10th International Conference on Human System Interaction. IEEE, 2017

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Comparative analysis of feature extraction techniques in motor-imagery eeg signal classification.
Rajdeep Chatterjee, Tathagata Bandyopadhyay, Debarshi Kumar Sanyal, and Dibyajyoti Guha
In Proceedings of the International Conference on Smart Systems, Innovations and Computing. Springer, 2017

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Effects of wavelets on quality of features in motor-imagery eeg signal classification
Rajdeep Chatterjee, Tathagata Bandyopadhyay and Debarshi Kumar Sanyal
In Wireless Communications, Signal Processing and Networking (WiSPNET), International Conference on, pages 1346{1350. IEEE, 2016

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Eeg based motor imagery classification using svm and mlp
Rajdeep Chatterjee and Tathagata Bandyopadhyay
In Computational Intelligence and Networks (CINE),2016 2nd International Conference on, pages 84{89. IEEE, 2016

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