An Enhanced Counter Propagation Neural Network for Abnormal Retinal Image Classification. - J. Anitha 001; C. Kezi Selva Vijila; D. Jude Hemanth (NaBIC, 2009)

Self Organizing Neural Network based Pathology Classification in Retinal Images. - J. Anitha 001; C. Kezi Selva Vijila; D. Jude Hemanth; A. Ahsina (NaBIC, 2009)

Comparative Analysis of Neural Model and Fuzzy Model for MR Brain Tumor Image Segmentation. - D. Jude Hemanth; C. Kezi Selva Vijila; J. Anitha 001 (NaBIC, 2009)

Automated radial basis function neural network based image classification system for diabetic retinopathy detection in retinal images. - J. Anitha 001; C. Kezi Selva Vijila; D. Jude Hemanth (ICDIP, 2010)

Application of an enhanced fuzzy algorithm for MR brain tumor image segmentation. - D. Jude Hemanth; C. Kezi Selva Vijila; J. Anitha 001 (ICDIP, 2010)

A Hybrid Genetic Algorithm based Fuzzy Approach for Abnormal Retinal Image Classification. - J. Anitha 001; C. Kezi Selva Vijila; D. Jude Hemanth (Int. J. Cogn. Informatics Nat. Intell., 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)

Performance Enhanced Hybrid Kohonen-Hopfield Neural Network for Abnormal Brain Image Classification. - D. Jude Hemanth; C. Kezi Selva Vijila; A. Immanuel Selvakumar; J. Anitha 001 (FGIT-SIP, 2011)

Performance Enhanced Hybrid Artificial Neural Network for Abnormal Retinal Image Classification. - D. Jude Hemanth; J. Anitha 001 (BIC-TA (1), 2012)

Image Pre-processing and Feature Extraction Techniques for Magnetic Resonance Brain Image Analysis. - D. Jude Hemanth; J. Anitha 001 (FGIT-FGCN/DCA, 2012)

Comparative Analysis of Neural Model and Statistical Model for Abnormal Retinal Image Segmentation. - D. Jude Hemanth; J. Anitha 001 (SocProS, 2012)

Distance metric-based time-efficient fuzzy algorithm for abnormal magnetic resonance brain image segmentation. - D. Jude Hemanth; C. Kezi Selva Vijila; A. Immanuel Selvakumar; J. Anitha 001 (Neural Comput. Appl., 2013)

Hybrid Neuro-Fuzzy Approaches for Abnormality Detection in Retinal Images. - D. Jude Hemanth; Valentina Emilia Balas; J. Anitha 001 (SOFA (1), 2014)

Performance Improved Iteration-Free Artificial Neural Networks for Abnormal Magnetic Resonance Brain Image Classification. - D. Jude Hemanth; C. Kezi Selva Vijila; A. Immanuel Selvakumar; J. Anitha 001 (Neurocomputing, 2014)

Performance Improved Hybrid Intelligent System for Medical Image Classification. - D. Jude Hemanth; J. Anitha 001; Valentina Emilia Balas (BCI, 2015)

Cuckoo Search-Based Scale Value Optimization for Enhancement in Retinal Image Registration. - Ebenezer Daniel; J. Anitha 001 (SocProS (1), 2015)

Region-Based Prediction and Quality Measurements for Medical Image Compression. - P. Eben Sophia; J. Anitha 001 (SocProS (1), 2015)

A systematic review on advances and perspectives of image compression in telemedicine. - P. Eben Sophia; J. Anitha 001 (Int. J. Adv. Intell. Paradigms, 2015)

Performance Improved Modified Fuzzy C-Means Algorithm for Image Segmentation Applications. - D. Jude Hemanth; J. Anitha 001; Valentina Emilia Balas (Informatica, 2015)

Optimum wavelet based masking for the contrast enhancement of medical images using enhanced cuckoo search algorithm. - Ebenezer Daniel; J. Anitha 001 (Comput. Biol. Medicine, 2016)

Contourlet transform based subband normalization for region based medical image compression. - P. Eben Sophia; J. Anitha 001 (Intell. Decis. Technol., 2016)

Fast and accurate fuzzy C-means algorithm for MR brain image segmentation. - D. Jude Hemanth; J. Anitha 001; Valentina Emilia Balas (Int. J. Imaging Syst. Technol., 2016)

Optimum spectrum mask based medical image fusion using Gray Wolf Optimization. - Ebenezer Daniel; J. Anitha 001; K. K. Kamaleshwaran; Indu Rani (Biomed. Signal Process. Control., 2017)

Fusion of artificial neural networks for learning capability enhancement: Application to medical image classification. - D. Jude Hemanth; J. Anitha 001; Bernadetta Kwintiana Ane (Expert Syst. J. Knowl. Eng., 2017)

A hybrid contextual compression technique using wavelet and contourlet transforms with PSO optimized prediction. - P. Eben Sophia; J. Anitha 001 (Int. J. Imaging Syst. Technol., 2017)

Optimum laplacian wavelet mask based medical image using hybrid cuckoo search - grey wolf optimization algorithm. - Ebenezer Daniel; J. Anitha 001; J. Gnanaraj (Knowl. Based Syst., 2017)

Edge Preserved Satellite Image Denoising Using Median and Bilateral Filtering. - Anju Asokan; J. Anitha 001 (RTIP2R (1), 2018)

Automatic Diagnosis of Myocardial Infarction with Left Bundle Branch Block. - Revathi Jothiramalingam; J. Anitha 001 (RTIP2R (2), 2018)

Brain signal based human emotion analysis by circular back propagation and Deep Kohonen Neural Networks. - D. Jude Hemanth; J. Anitha 001; Le Hoang Son (Comput. Electr. Eng., 2018)

A Pattern-Based Artificial Bee Colony Algorithm for Motion Estimation in Video Compression Techniques. - D. Jude Hemanth; J. Anitha 001 (Circuits Syst. Signal Process., 2018)

A modified genetic algorithm for performance improvement of transform based image steganography systems. - D. Jude Hemanth; J. Anitha 001; Daniela Elena Popescu; Le Hoang Son (J. Intell. Fuzzy Syst., 2018)

Diabetic Retinopathy Diagnosis from Retinal Images Using Modified Hopfield Neural Network. - D. Jude Hemanth; J. Anitha 001; Le Hoang Son; Mamta Mittal (J. Medical Syst., 2018)

A Modified Deep Convolutional Neural Network for Abnormal Brain Image Classification. - D. Jude Hemanth; J. Anitha 001; Antoanela Náaji; Oana Geman; Daniela Elena Popescu; Le Hoang Son (IEEE Access, 2019)

Modified Genetic Algorithm approaches for classification of abnormal Magnetic Resonance Brain tumour images. - D. Jude Hemanth; J. Anitha 001 (Appl. Soft Comput., 2019)

Analysis of Transform-Based Features on Lateral View Breast Thermograms. - Josephine Selle Jeyanathan; A. Shenbagavalli; B. Venkatraman; M. Menaka; J. Anitha 001; Victor Hugo C. de Albuquerque (Circuits Syst. Signal Process., 2019)

Change detection techniques for remote sensing applications: a survey. - Anju Asokan; J. Anitha 001 (Earth Sci. Informatics, 2019)

Enhanced method of using contourlet transform for medical image compression. - P. Eben Sophia; J. Anitha 001 (Int. J. Adv. Intell. Paradigms, 2019)

Deep Inside Feature Learning for Image Classification Using Transfer Learning Approach. - Ranjini Surendran; J. Anitha 001; D. Jude Hemanth (DSIE, 2021)

Convolutional neural-network-based classification of retinal images with different combinations of filtering techniques. - Asha Gnana Priya Henry; Anitha Jude (Open Comput. Sci., 2021)

Hyperspectral and multispectral image fusion techniques for high resolution applications: a review. - Dioline Sara; Ajay Kumar Mandava; Arun Kumar; Johnson Shiny Duela; Anitha Jude (Earth Sci. Informatics, 2021)

An intelligent medical decision support system for diagnosis of heart abnormalities in ECG signals. - Revathi Jothiramalingam; J. Anitha 001; D. Jude Hemanth (Intell. Decis. Technol., 2021)

Machine learning-based left ventricular hypertrophy detection using multi-lead ECG signal. - Revathi Jothiramalingam; Anitha Jude; Rizwan Patan; Manikandan Ramachandran; Jude Hemanth Duraisamy; Amir H. Gandomi (Neural Comput. Appl., 2021)

Deep Transfer Learning Approach for Obstructive Sleep Apnea Classification with Photoplethysmography Signal. - E. Smily Jeya Jothi; J. Anitha 001; D. Jude Hemanth (DSIE, 2022)

Melanoma Classification Using Machine Learning Techniques. - Jacinth Poornima Jeyakumar; J. Anitha 001; Asha Gnana Priya Henry; D. Jude Hemanth (DSIE, 2022)

Classification of Uterine Fibroids in Ultrasound Images Using Deep Learning Model. - K. T. Dilna; J. Anitha 001; Anastassia Angelopoulou; Epaminondas Kapetanios; Thierry J. Chaussalet; D. Jude Hemanth (ICCS (3), 2022)

Transfer Learning Based Natural Scene Classification for Scene Understanding by Intelligent Machines. - Ranjini Surendran; J. Anitha 001; Anastassia Angelopoulou; Epaminondas Kapetanios; T. Chausalet; D. Jude Hemanth (ICCS (1), 2022)

A photoplethysmography-based diagnostic support system for obstructive sleep apnea using deep learning approaches. - E. Smily Jeya Jothi; J. Anitha 001; D. Jude Hemanth (Comput. Electr. Eng., 2022)

A novel framework for segmentation of uterus fibroids in ultrasound images using machine learning models. - K. T. Dilna; J. Anitha 001; D. Jude Hemanth (Int. J. Model. Identif. Control., 2022)

Diagnosis of coronary artery occlusion by fitting polynomial curve with the ECG signal based on optimization techniques. - Revathi Jothiramalingam; J. Anitha 001; D. Jude Hemanth (Netw. Model. Anal. Health Informatics Bioinform., 2022)

A Survey on Computer-Aided Intelligent Methods to Identify and Classify Skin Cancer. - Jacinth Poornima Jeyakumar; Anitha Jude; Asha Gnana Priya Henry; Jude Hemanth D. (Informatics, 2022)

Indoor Scene Recognition: An Attention-Based Approach Using Feature Selection-Based Transfer Learning and Deep Liquid State Machine. - Ranjini Surendran; Ines Chihi; J. Anitha 001; D. Jude Hemanth (Algorithms, 2023)

Hybrid deep learning models based emotion recognition with speech signals. - M. Kalpana Chowdary; E. Anu Priya; Daniela Danciulescu; J. Anitha 001; D. Jude Hemanth (Intell. Decis. Technol., 2023)

Machine learning techniques to detect bleeding frame and area in wireless capsule endoscopy video. - Ashok Vajravelu; K. S. Tamil Selvan; Muhammad Mahadi Abdul Jamil; Anitha Jude; Isabel de la Torre Díez (J. Intell. Fuzzy Syst., 2023)

Recognition of human action for scene understanding using world cup optimization and transfer learning approach. - Ranjini Surendran; J. Anitha 001; D. Jude Hemanth (PeerJ Comput. Sci., 2023)

Hybrid LSTM models-based detection of left ventricular hypertrophy in electrocardiogram signals. - Revathi Jothiramalingam; J. Anitha 001 (Intell. Decis. Technol., 2024)

A Hybrid Approach for Medical Deepfake Detection Using Depth-Wise Convolutions in Vision Transformer and Frequency Domain Analysis. - Ramamurthy Dhanyalakshmi; Alexander Zakharov; Natalia Romanchuk; J. Anitha 001; D. Jude Hemanth (ICCS (3), 2025)

Prediction of epileptic seizure using deep learning architectures. - Ashok Vajravelu; J. Anitha 001; Isabel de la Torre Díez; D. Jude Hemanth (Int. J. Medical Eng. Informatics, 2025)