A new anatomical facial reconstruction from CT slices based on Delaunay triangulation. - R. Menaka 001; Maya Eapen; C. Chellamuthu (Int. J. Medical Eng. Informatics, 2011)

A Novel Scheme for detection of Parkinson's disorder from Hand-eye Co-ordination behavior and DaTscan Images. - Ramya Sivanesan; Alvia Anwar; Abhishek Talwar; Menaka R 001; Karthik R 001 (KSII Trans. Internet Inf. Syst., 2016)

A deep supervised approach for ischemic lesion segmentation from multimodal MRI using Fully Convolutional Network. - R. Karthik 001; Utkarsh Gupta; Ashish Jha; Ratnavel Rajalakshmi; R. Menaka 001 (Appl. Soft Comput., 2019)

Attention embedded residual CNN for disease detection in tomato leaves. - Karthik R 001; Hariharan Manikandan; Sundar Anand; Priyanka Mathikshara; Annie Johnson 001; Menaka R 001 (Appl. Soft Comput., 2020)

Neuroimaging and deep learning for brain stroke detection - A review of recent advancements and future prospects. - R. Karthik 001; Menaka R 001; Annie Johnson 001; Sundar Anand (Comput. Methods Programs Biomed., 2020)

Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN. - R. Karthik 001; R. Menaka 001; Hariharan Manikandan (Appl. Soft Comput., 2021)

Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN. - R. Karthik 001; R. Menaka 001; Hariharan Manikandan; Daehan Won (Comput. Methods Programs Biomed., 2021)

Performance Analysis of Deep Learning Models for Detection of Autism Spectrum Disorder from EEG Signals. - Menaka Radhakrishnan; Karthik Ramamurthy 001; Kaustav Kumar Choudhury; Daehan Won; Thanga Aarthy Manoharan (Traitement du Signal, 2021)

Investigating EEG Signals of Autistic Individuals Using Detrended Fluctuation Analysis. - Menaka Radhakrishnan; Karthik Ramamurthy 001; Avantika Kothandaraman; Gauri Madaan; Harini Machavaram (Traitement du Signal, 2021)

CT-based severity assessment for COVID-19 using weakly supervised non-local CNN. - R. Karthik 001; Menaka R 001; Hariharan Manikandan; Daehan Won (Appl. Soft Comput., 2022)

Synthetic sampling from small datasets: A modified mega-trend diffusion approach using k-nearest neighbors. - Jayanth Sivakumar; Karthik Ramamurthy 001; Menaka Radhakrishnan; Daehan Won (Knowl. Based Syst., 2022)

Contour-enhanced attention CNN for CT-based COVID-19 segmentation. - R. Karthik 001; R. Menaka 001; Hariharan Manikandan; Daehan Won (Pattern Recognit., 2022)

Automatic Assessment of Abdominal Exercises for the Treatment of Diastasis Recti Abdominis Using Electromyography and Machine Learning. - Menaka Radhakrishnan; Karthik Ramamurthy 001; Avantika Kothandaraman; Vinitha Joshy Premkumar; Nandita Ramesh (Symmetry, 2022)

Deep Learning-based 6D pose estimation of texture less objects for Industrial Cobots. - Charan Vikram; Kishore P; Aswin R; Karthik R 001; Menaka Radhakrishnan; Thillaivasan Veeranathan (AIR, 2023)

Signal Processing and AI-based Assessment of Rehabilitation Exercises for Diastasis Recti Abdominis. - R. Karthik 001; Menaka R 001; P. Ponmathi; Daehan Won; Vinitha Joshy Premkumar; J. G. Aravindan; S. Harshavardhan; K. V. S. D. Aashish kumar; R. Akileshkumar (Comput. Syst. Sci. Eng., 2023)

A deep feature fusion network using residual channel shuffled attention for cassava leaf disease detection. - R. Karthik 001; R. Menaka 001; M. V. Siddharth; Sameeha Hussain; Bala Murugan; Daehan Won (Neural Comput. Appl., 2023)

GenerativeMTD: A deep synthetic data generation framework for small datasets. - Jayanth Sivakumar; Karthik Ramamurthy 001; Menaka Radhakrishnan; Daehan Won (Knowl. Based Syst., 2023)

A Hybrid Deep Learning Approach for Skin Cancer Classification Using Swin Transformer and Dense Group Shuffle Non-Local Attention Network. - R. Karthik 001; R. Menaka 001; Shivansh Atre; Jaehyuk Cho; Veerappampalayam Easwaramoorthy Sathishkumar (IEEE Access, 2024)

Dual Mode PID Controller for Path Planning of Encoder Less Mobile Robots in Warehouse Environment. - R. Karthik 001; R. Menaka 001; Kishore P; Aswin R; Charan Vikram (IEEE Access, 2024)

GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification. - R. Karthik 001; Menaka R 001; S. Ompirakash; Bala Murugan; M. Meenakashi; Sindhia Lingaswamy; Daehan Won (IEEE Access, 2024)

Neuro-Inspired Spiking Classifier for Trajectory-Optimized Diastasis Recti Rehabilitation With Wearable IMU Sensor. - Vinitha Joshy Premkumar; Menaka R 001 (IEEE Access, 2024)

HMARNET - A Hierarchical Multi-Attention Residual Network for Gleason scoring of prostate cancer. - R. Karthik 001; R. Menaka 001; M. V. Siddharth; Sameeha Hussain; P. Siddharth; Daehan Won (Int. J. Imaging Syst. Technol., 2024)

Corrections to "GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification". - R. Karthik 001; R. Menaka 001; S. Ompirakash; Bala Murugan; M. Meenakashi; Sindhia Lingaswamy; Daehan Won (IEEE Access, 2025)

A Quantum-Based Machine Learning Approach for Autism Detection Using Common Spatial Patterns of EEG Signals. - S. Saranya; R. Menaka 001 (IEEE Access, 2025)

An Explainable Machine Learning Network for Classification of Autism Spectrum Disorder Using Optimal Frequency Band Identification From Brain EEG. - S. Saranya; R. Menaka 001 (IEEE Access, 2025)