Support Vector Machine Based Automatic Classification of Human Brain Using MR Image Features. - Henry Selvaraj; S. Thamarai Selvi; D. Selvathi 001; R. Ramkumar (Int. J. Comput. Intell. Appl., 2006)

Abnormality Detection in Brain MR Images Using Minimum Error Thresholding Method. - D. Selvathi 001; S. Thamarai Selvi; Henry Selvaraj (Int. J. Comput. Intell. Appl., 2006)

Hybrid Approach for Brain Tumor Segmentation in Magnetic Resonance Images Using Cellular Neural Networks and Optimization Techniques. - D. Selvathi 001; Henry Selvaraj; S. Thamarai Selvi (Int. J. Comput. Intell. Appl., 2010)

Application of Adaptive Resonance Theory Neural Network for MR Brain Tumor Image Classification. - D. Jude Hemanth; D. Selvathi 001; J. Anitha 001 (Int. J. Heal. Inf. Syst. Informatics, 2010)

The SURE-LET Approach for MR Brain Image Denoising Using Different Shrinkage Rules. - D. Selvathi 001; S. Thamarai Selvi; C. Loorthu Sahaya Malar (Int. J. Heal. Inf. Syst. Informatics, 2010)

Tumor Detection in Brain Magnetic Resonance Images Using Modified Thresholding Techniques. - C. L. Biji 001; D. Selvathi 001; Asha Panicker (ACC (4), 2011)

Design of Low Power 2.4GHz CMOS Cascode LNA with Reduced Noise Figure for WSN Applications. - S. Manjula; D. Selvathi 001 (Wirel. Pers. Commun., 2013)

An Area Efficient Weighting Coefficient Generation Architecture for Polynomial Convolution Interpolation. - D. Selvathi 001; C. John Moses (ICSEng, 2014)

Study of Parasitic capacitance effect on noise Figure of Idclna in Deep submicron CMOS Technologies. - S. Manjula; D. Selvathi 001 (J. Circuits Syst. Comput., 2014)

Despeckling of medical ultrasound kidney images in the curvelet domain using diffusion filtering and MAP estimation. - S. Bama; D. Selvathi 001 (Signal Process., 2014)

VLSI Architectures for Image Interpolation: A Survey. - C. John Moses; D. Selvathi 001; V. M. Anne Sophia (VLSI Design, 2014)

FPGA Implementation of Fuzzy Inference System Based Edge Detection Algorithm. - D. Selvathi 001; Henry Selvaraj; J. Dharani (Int. J. Comput. Intell. Appl., 2015)

Multifractal feature-based abnormal tissues segmentation in brain MRI using modified adaboost classifier. - D. Selvathi 001; M. S. Steffi (Int. J. Medical Eng. Informatics, 2015)

Edge Preserved Image Compression using Extended Shearlet transform. - S. Thayammal; D. Selvathi 001 (J. Comput. Sci., 2015)

Optimal Design of Low Power CMOS Power Amplifier Using Particle Swarm Optimization Technique. - S. Manjula; D. Selvathi 001 (Wirel. Pers. Commun., 2015)

MRI brain pattern analysis for detection of Alzheimer's disease using random forest classifier. - D. Selvathi 001; T. Emala (Intell. Decis. Technol., 2016)

FPGA implementation of on-chip ANN for breast cancer diagnosis. - D. Selvathi 001; R. Deiva Nayagam (Intell. Decis. Technol., 2016)

FPGA Implementation for Epileptic Seizure Detection Using Amplitude and Frequency Analysis of EEG Signals. - D. Selvathi 001; Henry Selvaraj (ICSEng, 2017)

Edge Preserved Multispectral Image Compression Using Extended Shearlet Transform. - S. Thayammal; D. Selvathi 001 (Comput. J., 2017)

Performance analysis of computer aided brain tumor detection system using ANFIS classifier. - N. Herald Anantha Rufus; D. Selvathi 001 (Int. J. Imaging Syst. Technol., 2017)

Phase based distance regularized level set for the segmentation of ultrasound kidney images. - D. Selvathi 001; S. Bama (Pattern Recognit. Lett., 2017)

Performance analysis of brain tissues and tumor detection and grading system using ANFIS classifier. - N. Herald Anantha Rufus; D. Selvathi 001 (Int. J. Imaging Syst. Technol., 2018)

Edge preserved multispectral image compression using PCA and hybrid transform. - S. Thayammal; S. Priyadarsini; D. Selvathi 001 (Multim. Tools Appl., 2020)

Adaptive edge-based bi-cubic image interpolation. - C. John Moses; D. Selvathi 001 (Int. J. Reason. based Intell. Syst., 2021)

Deep convolutional neural network-based diabetic eye disease detection and classification using thermal images. - D. Selvathi 001; K. Suganya; M. Menaka; B. Venkatraman (Int. J. Reason. based Intell. Syst., 2021)

Fetal biometric based abnormality detection during prenatal development using deep learning techniques. - D. Selvathi 001; R. Chandralekha (Multidimens. Syst. Signal Process., 2022)

Analysis of Water Body Segmentation from Landsat Imagery using Deep Neural Network. - S. Thayammal; R. Jayaraghavi; S. Priyadarsini; D. Selvathi 001 (Wirel. Pers. Commun., 2022)

A systematic review of deep learning methods for the classification and segmentation of prostate cancer on magnetic resonance images. - R. Deiva Nayagam; D. Selvathi 001 (Int. J. Imaging Syst. Technol., 2024)

Computerized Diagnosis Methods for Pediatric Cardiology: A Review. - R. Shantha Selvakumari; Kumaradevan Punithakumar; D. Selvathi 001; S. Chrisilla; R. Sri Abinaya; Nilanjan Ray (IEEE Access, 2025)

GRASP-Net: Grouped Residual Convolution U-Net With Attention Mechanism and Atrous Spatial Pyramid Pooling for Prostate Zone Segmentation Using MR Images. - R. Deiva Nayagam; D. Selvathi 001 (Int. J. Imaging Syst. Technol., 2025)