Continuous measurements of mandibular cortical width on dental panoramic radiographs for computer-aided diagnosis of osteoporosis. - Muthu Subash Kavitha; Akira Asano; Akira Taguchi (Computer-Aided Diagnosis, 2011)

Automatic assessment of mandibular bone using support vector machine for the diagnosis of osteoporosis. - Muthu Subash Kavitha; Takio Kurita; Akira Asano; Akira Taguchi (SMC, 2012)

Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided system. - Muthu Subash Kavitha; Akira Asano; Akira Taguchi; Takio Kurita; Mitsuhiro Sanada (BMC Medical Imaging, 2012)

Analysis of User's Behavior Using Markov Model. - X. Arputha Rathina; M. Ponnavaikko; K. M. Mehata; Muthu Subash Kavitha (SocProS (2), 2017)

Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques. - Muthu Subash Kavitha; Takio Kurita; Byeong-Cheol Ahn (Comput. Biol. Medicine, 2018)

Multi instance learning via deep CNN for multi-class recognition of Alzheimer's disease. - Muthu Subash Kavitha; Novanto Yudistira; Takio Kurita (IWCIA, 2019)

Detection of One Dimensional Anomalies Using a Vector-Based Convolutional Autoencoder. - Qien Yu; Muthu Subash Kavitha; Takio Kurita (ACPR (2), 2019)

Hilbert Vector Convolutional Neural Network: 2D Neural Network on 1D Data. - Nasrulloh R. B. S. Loka; Muthu Subash Kavitha; Takio Kurita (ICANN (1), 2019)

U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Image. - Lukman Hakim; Novanto Yudistira; Muthu Subash Kavitha; Takio Kurita (ICONIP (5), 2019)

Learning with Incomplete Labels for Multi-label Image Annotation Using CNN and Restricted Boltzmann Machines. - Jonathan Mojoo; Yu Zhao; Muthu Subash Kavitha; Jun'ichi Miyao; Takio Kurita (ICONIP (2), 2019)

ECM-CSD: An Efficient Classification Model for Cancer Stage Diagnosis in CT Lung Images Using FCM and SVM Techniques. - Muthu Subash Kavitha; J. Shanthini; R. Sabitha (J. Medical Syst., 2019)

Analysis of Information Flow in Hidden Layers of the Trained Neural Network by Canonical Correlation Analysis. - Keijiro Kanda; Muthu Subash Kavitha; Jun'ichi Miyao; Takio Kurita (IW-FCV, 2020)

Transfer Learning by Cascaded Network to Identify and Classify Lung Nodules for Cancer Detection. - Shah B. Shrey; Lukman Hakim; Muthu Subash Kavitha; Hae Won Kim; Takio Kurita (IW-FCV, 2020)

An Efficient Region Precise Thresholding and Direct Hough Transform in Femur and Femoral Neck Segmentation Using Pelvis CT. - Young-Ji Yun; Byeong-Cheol Ahn; Muthu Subash Kavitha; Sung-Il Chien (IEEE Access, 2020)

Completion of Missing Labels for Multi-Label Annotation by a Unified Graph Laplacian Regularization. - Jonathan Mojoo; Yu Zhao; Muthu Subash Kavitha; Jun'ichi Miyao; Takio Kurita (IEICE Trans. Inf. Syst., 2020)

ECIDS-Enhanced Cancer Image Diagnosis and Segmentation Using Artificial Neural Networks and Active Contour Modelling. - Muthu Subash Kavitha; J. Shanthini; Reddipalayam Murugeshan Bhavadharini (J. Medical Imaging Health Informatics, 2020)

Attention Assisted Patch-Wise CNN for the Segmentation of Fluids from the Retinal Optical Coherence Tomography Images. - B. N. Anoop; Saswat Parida; B. Ajith; G. N. Girish; Abhishek R. Kothari; Muthu Subash Kavitha; Jeny Rajan (PReMI, 2021)

Data Imputation of Brain MRI Features with Enhanced Multinomial Logistic Regression for Alzheimer's Disease Classification. - Naganandhini; Pichai Shanmugavadivu; Kanimozhi; Muthu Subash Kavitha (SIET, 2021)

Mixture of experts with convolutional and variational autoencoders for anomaly detection. - Qien Yu; Muthu Subash Kavitha; Takio Kurita (Appl. Intell., 2021)

Autoencoder framework based on orthogonal projection constraints improves anomalies detection. - Qien Yu; Muthu Subash Kavitha; Takio Kurita (Neurocomputing, 2021)

Brain Tumor Detection with Biologically Inspired Watershed Segmentation and Classification Based on Feed-Forward Neural Network (FNN). - G. S. Gopika; J. Shanthini; Muthu Subash Kavitha; R. Sabitha (J. Medical Imaging Health Informatics, 2021)

Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection. - Qien Yu; Muthu Subash Kavitha; Takio Kurita (Neural Comput. Appl., 2021)

Regularizer based on Euler characteristic for retinal blood vessel segmentation. - Lukman Hakim; Muthu Subash Kavitha; Novanto Yudistira; Takio Kurita (Pattern Recognit. Lett., 2021)

Automated Deep Learning Based Cardiovascular Disease Diagnosis Using ECG Signals. - S. Karthik 001; M. Santhosh; Muthu Subash Kavitha; Christopher A. Paul (Comput. Syst. Sci. Eng., 2022)

Cost Effective Optimal Task Scheduling Model in Hybrid Cloud Environment. - M. Manikandan; R. Subramanian; Muthu Subash Kavitha; S. Karthik 001 (Comput. Syst. Sci. Eng., 2022)

Weakly-Supervised Action Localization, and Action Recognition Using Global-Local Attention of 3D CNN. - Novanto Yudistira; Muthu Subash Kavitha; Takio Kurita (Int. J. Comput. Vis., 2022)

Data imputation in deep neural network to enhance breast cancer detection. - Kanimozhi Ganesan; Pichai Shanmugavadivu; Muthu Subash Kavitha; Masayoshi Takahashi (Int. J. Imaging Syst. Technol., 2022)

Correction to: Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection. - Qien Yu; Muthu Subash Kavitha; Takio Kurita (Neural Comput. Appl., 2022)

QoS Based Hybrid Swarm Intelligent Intrusion Detection System for Network Security. - N. Karthikeyan; Jajjara Bhargav; Muthu Subash Kavitha; S. Karthik 001 (ICCCNT, 2023)

Improved Soil Quality Prediction Model Using Deep Learning for Smart Agriculture Systems. - P. Sumathi; V. V. Karthikeyan; Muthu Subash Kavitha; S. Karthik 001 (Comput. Syst. Sci. Eng., 2023)

Attention-effective multiple instance learning on weakly stem cell colony segmentation. - Novanto Yudistira; Muthu Subash Kavitha; Jeny Rajan; Takio Kurita (Intell. Syst. Appl., 2023)

An effective ontology-based query response model for risk assessment in urban flood disaster management. - N. Karthikeyan; I. Gugan; Muthu Subash Kavitha; S. Karthik 001 (J. Intell. Fuzzy Syst., 2023)

Premature Infant Cry Classification via Deep Convolutional Recurrent Neural Network Based on Multi-class Features. - R. Sabitha; P. Poonkodi; Muthu Subash Kavitha; S. Karthik 001 (Circuits Syst. Signal Process., 2023)

Bio-Inspired ensemble feature selection and deep auto-encoder approach for rapid diagnosis of breast cancer. - V. Praveena; L. R. Sujithra; S. Karthik 001; Muthu Subash Kavitha (Multim. Syst., 2023)

An Improved Normalized Difference Vegetation Index (NDVI) Estimation Using Grounded Dino and Segment Anything Model for Plant Health Classification. - Ananthakrishnan Balasundaram; Alabhya Sharma; Swaathy Kumaravelan; Ayesha Shaik; Muthu Subash Kavitha (IEEE Access, 2024)

An approach towards the detection of eye cancer using configured convolution neural network with sine cosine fitness gray wolf optimizer. - J. Shanthini; P. Poovizhi; Muthu Subash Kavitha; S. Karthik 001 (J. Intell. Fuzzy Syst., 2024)

Membership Weight Salp Swarm Algorithm (MWSSA) based feature selection and deep learning approach for breast cancer classification of SNP genomics data. - L. R. Sujithra; V. Praveena; S. Karthik 001; Muthu Subash Kavitha (Multim. Tools Appl., 2025)