An automatic computer-aided diagnosis system for liver tumours on computed tomography images. - S. S. Kumar 001; R. S. Moni; J. Rajeesh (Comput. Electr. Eng., 2013)

Automatic liver and lesion segmentation: a primary step in diagnosis of liver diseases. - S. S. Kumar 001; R. S. Moni; J. Rajeesh (Signal Image Video Process., 2013)

Performance analysis of wave atom transform in texture classification. - J. Rajeesh; R. S. Moni; S. S. Kumar 001 (Signal Image Video Process., 2014)

Segmentation of lung from CT using various active contour models. - Ezhil E. Nithila; S. S. Kumar 001 (Biomed. Signal Process. Control., 2019)

Segmentation of chondroblastoma from medical images using modified region growing algorithm. - P. Y. Muhammed Anshad; S. S. Kumar 001; Shajeem Shahudheen (Clust. Comput., 2019)

Brain tumor detection and segmentation using a wrapper based genetic algorithm for optimized feature set. - S. U. Aswathy; G. Glan Devadhas; S. S. Kumar 001 (Clust. Comput., 2019)

Transfer Learning With CNN for Classification of Weld Defect. - Samuel Kumaresan; K. S. Jai Aultrin; S. S. Kumar 001; M. Dev Anand (IEEE Access, 2021)

Detection of Fetal Cardiac Anomaly from Composite Abdominal Electrocardiogram. - Anisha M.; S. S. Kumar 001; Ezhil E. Nithila; Benisha M (Biomed. Signal Process. Control., 2021)

Low power pulsed flip-flop with clock gating and conditional pulse enhancement. - Kuruvilla John; R. S. Vinod Kumar; S. S. Kumar 001 (Int. J. Autom. Control., 2021)

An optimized deep learning model using Mutation-based Atom Search Optimization algorithm for cervical cancer detection. - B. Chitra; S. S. Kumar 001 (Soft Comput., 2021)

Early cervical cancer diagnosis using Sooty tern-optimized CNN-LSTM classifier. - B. Chitra; S. S. Kumar 001 (Int. J. Imaging Syst. Technol., 2022)

Recent advancement in cervical cancer diagnosis for automated screening: a detailed review. - B. Chitra; S. S. Kumar 001 (J. Ambient Intell. Humaniz. Comput., 2022)

An ensemble method for the detection and classification of lung cancer using Computed Tomography images utilizing a capsule network with Visual Geometry Group. - A. R. Bushara; R. S. Vinod Kumar; S. S. Kumar 001 (Biomed. Signal Process. Control., 2023)

LCD-Capsule Network for the Detection and Classification of Lung Cancer on Computed Tomography Images. - A. R. Bushara; Vinod Kumar R. S.; S. S. Kumar 001 (Multim. Tools Appl., 2023)

Grey Wolf optimized SwinUNet based transformer framework for liver segmentation from CT images. - S. S. Kumar 001; R. S. Vinod Kumar; V. G. Ranjith; S. Jeevakala; S. Sajithra Varun (Comput. Electr. Eng., 2024)

Transformer Skip-Fusion Based SwinUNet for Liver Segmentation From CT Images. - S. S. Kumar 001; R. S. Vinod Kumar (Int. J. Imaging Syst. Technol., 2024)

Literature survey on deep learning methods for liver segmentation from CT images: a comprehensive review. - S. S. Kumar 001; Vinod Kumar R. S. (Multim. Tools Appl., 2024)

Advancements in medical image segmentation: A review of transformer models. - S. S. Kumar 001 (Comput. Electr. Eng., 2025)

A Review of U-Net-Based Deep Learning Models for Skin Lesion Segmentation. - S. S. Kumar 001; R. S. Vinod Kumar; D. Subbulekshmi (Int. J. Imaging Syst. Technol., 2025)

Optimized Deep Embedded Clustering-Based Speaker Diarization with Speech Enhancement. - S. Merlin Revathy; S. S. Kumar 001 (Circuits Syst. Signal Process., 2025)