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ORCIDTessamma Thomas
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2020 – today
- 2023
[j11]Suja Subramanian
, Tina P. George, Jeslin George, Tessamma Thomas:
Ensemble learning based assessment of the role of transcription factors in gene expression. Comput. Biol. Medicine 152: 106455 (2023)- [j10]N. A. Deepthi, Deepa Sankar, Tessamma Thomas:
Selection of the best hybrid spectral similarity measure for characterising marine oil spills from multi-platform hyperspectral datasets. Int. J. Comput. Sci. Eng. 26(6): 715-731 (2023) - 2021
- [j9]P. P. Mini, Tessamma Thomas, R. Gopikakumari:
Wavelet feature selection of audio and imagined/vocalized EEG signals for ANN based multimodal ASR system. Biomed. Signal Process. Control. 63: 102218 (2021) - [j8]P. P. Mini, Tessamma Thomas, R. Gopikakumari:
EEG based direct speech BCI system using a fusion of SMRT and MFCC/LPCC features with ANN classifier. Biomed. Signal Process. Control. 68: 102625 (2021)
2010 – 2019
- 2018
- [c7]P. P. Mini, Tessamma Thomas, R. Gopikakumari:
Feature Vector Selection of Fusion of MFCC and SMRT Coefficients for SVM Classifier Based Speech Recognition System. ISED 2018: 153-157 - 2016
- [j7]R. Sethunadh, Tessamma Thomas:
Image denoising based on adaptive spatial segmentation and multi-scale correlation in directionlet domain. Int. J. Comput. Vis. Robotics 6(1/2): 146-167 (2016) - 2015
- [j6]R. Sethunadh, Tessamma Thomas:
Spatially adaptive image denoising using inter-scale dependence in directionlet domain. IET Image Process. 9(2): 142-152 (2015) - 2014
- [j5]R. Anu Sabarish, Tessamma Thomas:
Molecular phylogeny analysis using correlation distance and spectral distance. Int. J. Data Min. Bioinform. 10(4): 391-406 (2014) - 2012
- [c6]Resmi S. Ananda, Tessamma Thomas:
Automatic segmentation framework for primary tumors from brain MRIs using morphological filtering techniques. BMEI 2012: 238-242 - [i2]Nobert Thomas Pallath, Tessamma Thomas:
Video Object Tracking and Analysis for Computer Assisted Surgery. CoRR abs/1203.2404 (2012) - 2010
- [j4]Tina P. George, Tessamma Thomas:
Discrete wavelet transform de-noising in eukaryotic gene splicing. BMC Bioinform. 11(S-1): 50 (2010) - [j3]Deepa Sankar, Tessamma Thomas:
A New Fast Fractal Modeling Approach for the Detection of Microcalcifications in Mammograms. J. Digit. Imaging 23(5): 538-546 (2010) - [i1]A. P. Reji, Tessamma Thomas:
Single Frame Image super Resolution using Learned Directionlets. CoRR abs/1011.2272 (2010)
2000 – 2009
- 2009
- [c5]Dominic Mathew, V. P. Devassia, Tessamma Thomas:
2D Wavelet Transform Based Compression of Pseudo-periodic Signals. ARTCom 2009: 724-726 - [c4]Deepa Sankar, Tessamma Thomas:
Analysis of Mammograms using Fractal Features. NaBIC 2009: 936-941 - [c3]Deepa Sankar, Tessamma Thomas:
Fractal Signatures for the Characterization of Mammograms. NaBIC 2009: 1463-1468 - [c2]J. Deepa, Tessamma Thomas:
Automatic Segmentation of DNA Microarray Images using an Improved Seeded Region Growing Method. NaBIC 2009: 1469-1474 - 2005
- [j2]V. P. Dinesh Kumar, Tessamma Thomas:
Automatic Estimation of Orientation and Position of Spine in Digitized X-rays using Mathematical Morphology. J. Digit. Imaging 18(3): 234-241 (2005) - 2004
- [j1]M. G. Mini, V. P. Devassia, Tessamma Thomas:
Multiplexed Wavelet Transform Technique for Detection of Microcalcification in Digitized Mammograms. J. Digit. Imaging 17(4): 285-291 (2004) - [c1]M. G. Mini, Tessamma Thomas:
A neural network method for normal / abnormal classification of digitized mammograms. Neural Networks and Computational Intelligence 2004: 238-243
Coauthor Index
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