Image Stitching with Combined Moment Invariants and Sift Features. - A. Annis Fathima; R. Karthik 001; Vijay Vaidehi (ANT/SEIT, 2013)

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)

Efficient License Plate Recognition System with Smarter Interpretation Through IoT. - K. Tejas; K. Ashok Reddy; D. Pradeep Reddy; K. P. Bharath; R. Karthik 001; Rajesh Kumar Muthu (SocProS (2), 2017)

A text-independent speaker verification model: A comparative analysis. - Rishi Charan; Manisha A; Karthik R 001; Rajesh Kumar Muthu (CoRR, 2017)

Automatic Phone Slip Detection System. - Karthik R 001; Preetam Satapath; Srivatsa Patnaik; Saurabh Priyadarshi; Rajesh Kumar Muthu (CoRR, 2018)

Implementation of Neural Network and feature extraction to classify ECG signals. - R. Karthik 001; Dhruv Tyagi; Amogh Raut; Soumya Saxena; Rajesh Kumar Muthu (CoRR, 2018)

Image Segmentation and Processing for Efficient Parking Space Analysis. - Chetan Sai Tutika; Charan Vallapaneni; Karthik R 001; Bharath KP; N. Ruban Rajesh Kumar Muthu (CoRR, 2018)

Low Power Real Time GPS Tracking Enabled with RTOS and Serverless Architecture. - Sundar Anand; Annie Johnson 001; Priyanka Mathikshara; Karthik R 001 (ICCCS, 2019)

Real-time GPS tracking using serverless architecture and ARM processor. - Sundar Anand; Annie Johnson 001; Priyanka Mathikshara; Karthik R 001 (COMSNETS, 2019)

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)

Radial Based Analysis of GRNN in Non-Textured Image Inpainting. - Karthik R 001; Anvita Dwivedi; Haripriya M; Bharath K. P; Rajesh Kumar Muthu (CoRR, 2020)

Performance Analysis of Adaptive Noise Cancellation for Speech Signal. - Pratibha Balaji; Shruthi Narayan; Durga Sraddha; Bharath K. P; Karthik R 001; Rajesh Kumar Muthu (CoRR, 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)

Eff2Net: An efficient channel attention-based convolutional neural network for skin disease classification. - R. Karthik 001; Tejas Sunil Vaichole; Sanika Kiran Kulkarni; Ojaswa Yadav; Faiz Khan (Biomed. Signal Process. Control., 2022)

Proximal Instance Aggregator networks for explainable security vulnerability detection. - Hariharan Manikandan; Sathish Kumar Chandrasekaran; Anshul Tanwar; Krishna Sundaresan; Prasanna Ganesan; Sriram Ravi; R. Karthik 001 (Future Gener. Comput. Syst., 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)

A Dimension Centric Proximate Attention Network and Swin Transformer for Age-Based Classification of Mild Cognitive Impairment From Brain MRI. - T. Illakiya; R. Karthik 001 (IEEE Access, 2023)

A novel two-staged network for skin disease detection using atrous residual convolutional networks. - Karthik Ramamurthy 001; Anirudh Muthuswamy; Nagharjun Mathimariappan; Gugan S. Kathiresan (Concurr. Comput. Pract. Exp., 2023)

A novel deep learning architecture for disease classification in Arabica coffee plants. - Karthik Ramamurthy 001; Rashmi Dinesh Thekkath; Shivam Batra; Sreejan Chattopadhyay (Concurr. Comput. Pract. Exp., 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)

Automatic Detection of Alzheimer's Disease using Deep Learning Models and Neuro-Imaging: Current Trends and Future Perspectives. - T. Illakiya; R. Karthik 001 (Neuroinformatics, 2023)

Detecting log anomaly using subword attention encoder and probabilistic feature selection. - Hariharan Manikandan; Abhinesh Mishra; Sriram Ravi; Ankita Sharma; Anshul Tanwar; Krishna Sundaresan; Prasanna Ganesan; R. Karthik 001 (Appl. Intell., 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)

An Explainable Deep Learning Network for Environmental Microorganism Classification Using Attention-Enhanced Semi-Local Features. - R. Karthik 001; Armaano Ajay; Akshaj Singh Bisht; Jaehyuk Cho; V. E. Sathishkumar (IEEE Access, 2024)

A Deep Learning Approach for Crop Disease and Pest Classification Using Swin Transformer and Dual-Attention Multi-Scale Fusion Network. - R. Karthik 001; Armaano Ajay; Akshaj Singh Bisht; T. Illakiya; K. Suganthi 001 (IEEE Access, 2024)

Point Cloud-Based 3D Object Classification With Non Local Attention and Lightweight Convolution Neural Networks. - R. Karthik 001; Rohan Inamdar; S. Kavin Sundarr; Jaehyuk Cho; Sathishkumar Veerappampalayam Easwaramoorthy (IEEE Access, 2024)

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)

A deep feature fusion network with global context and cross-dimensional dependencies for classification of mild cognitive impairment from brain MRI. - T. Illakiya; R. Karthik 001 (Image Vis. Comput., 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)

Dense-ShuffleGCANet: An Attention-Driven Deep Learning Approach for Diabetic Foot Ulcer Classification Using Refined Spatio-Dimensional Features. - Armaano Ajay; Akshaj Singh Bisht; R. Karthik 001 (IEEE Access, 2025)

DeepCRC-Net: An Attention-Driven Deep Learning Network for Colorectal Cancer Classification Using Xception and Efficient Lightweight Local Feature Fusion Networks. - Akshaj Singh Bisht; Armaano Ajay; R. Karthik 001 (IEEE Access, 2025)

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)

An Explainable Deep Learning Network With Transformer and Custom CNN for Bean Leaf Disease Classification. - R. Karthik 001; Aswin R; K. S. Geetha; K. Suganthi 001 (IEEE Access, 2025)

AI-UNet: Attention Information-based deep URL Network for adult webpage classification. - Ratnavel Rajalakshmi; Joel Raymann; Aneesh Prabhu; R. Karthik 001; Chandrabose Aravindan (Neural Comput. Appl., 2025)

QDeepColonNet: a quantum-based deep learning network for colorectal cancer classification using attention-driven DenseNet and shuffled dynamic local feature extraction network. - Armaano Ajay; R. Karthik 001; Akshaj Singh Bisht; Abhay Karan Singh (Artif. Intell. Rev., 2025)