Muthu Subash Kavitha

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 37

Top Topics

Anomaly Detection

Data Imputation

Top Venues

Comput. Syst. Sci. Eng.

Publications

A. Balasundaram, Alabhya Sharma, Swaathy Kumaravelan, Ayesha Shaik, Muthu Subash Kavitha
An Improved Normalized Difference Vegetation Index (NDVI) Estimation Using Grounded Dino and Segment Anything Model for Plant Health Classification. IEEE Access 12 (2024)
J. Shanthini, P. Poovizhi, Muthu Subash Kavitha, S. Karthik
An approach towards the detection of eye cancer using configured convolution neural network with sine cosine fitness gray wolf optimizer. J. Intell. Fuzzy Syst. 46 (3) (2024)
Novanto Yudistira, Muthu Subash Kavitha, Jeny Rajan, Takio Kurita
Attention-effective multiple instance learning on weakly stem cell colony segmentation. Intell. Syst. Appl. 17 (2023)
P. Sumathi, V. V. Karthikeyan, Muthu Subash Kavitha, S. Karthik
Improved Soil Quality Prediction Model Using Deep Learning for Smart Agriculture Systems. Comput. Syst. Sci. Eng. 45 (2) (2023)
V. Praveena, L. R. Sujithra, S. Karthik, Muthu Subash Kavitha
Bio-Inspired ensemble feature selection and deep auto-encoder approach for rapid diagnosis of breast cancer. Multim. Syst. 29 (6) (2023)
R. Sabitha, P. Poonkodi, Muthu Subash Kavitha, S. Karthik
Premature Infant Cry Classification via Deep Convolutional Recurrent Neural Network Based on Multi-class Features. Circuits Syst. Signal Process. 42 (12) (2023)
N. Karthikeyan, Jajjara Bhargav, Muthu Subash Kavitha, S. Karthik
QoS Based Hybrid Swarm Intelligent Intrusion Detection System for Network Security. ICCCNT (2023)
Qien Yu, Muthu Subash Kavitha, Takio Kurita
Correction to: Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection. Neural Comput. Appl. 34 (1) (2022)
Novanto Yudistira, Muthu Subash Kavitha, Takio Kurita
Weakly-Supervised Action Localization, and Action Recognition Using Global-Local Attention of 3D CNN. Int. J. Comput. Vis. 130 (10) (2022)
S. Karthik, M. Santhosh, Muthu Subash Kavitha, Christopher A. Paul
Automated Deep Learning Based Cardiovascular Disease Diagnosis Using ECG Signals. Comput. Syst. Sci. Eng. 42 (1) (2022)
Novanto Yudistira, Muthu Subash Kavitha, Jeny Rajan, Takio Kurita
Attention-effective multiple instance learning on weakly stem cell colony segmentation. CoRR (2022)
Kanimozhi Ganesan, Pichai Shanmugavadivu, Muthu Subash Kavitha, Masayoshi Takahashi
Data imputation in deep neural network to enhance breast cancer detection. Int. J. Imaging Syst. Technol. 32 (6) (2022)
G. S. Gopika, J. Shanthini, Muthu Subash Kavitha, R. Sabitha
Brain Tumor Detection with Biologically Inspired Watershed Segmentation and Classification Based on Feed-Forward Neural Network (FNN). J. Medical Imaging Health Informatics 11 (12) (2021)
B. N. Anoop, Saswat Parida, B. Ajith, G. N. Girish, Abhishek R. Kothari, Muthu Subash Kavitha, Jeny Rajan
Attention Assisted Patch-Wise CNN for the Segmentation of Fluids from the Retinal Optical Coherence Tomography Images. PReMI (2021)
Lukman Hakim, Muthu Subash Kavitha, Novanto Yudistira, Takio Kurita
Regularizer based on Euler characteristic for retinal blood vessel segmentation. Pattern Recognit. Lett. 149 (2021)
Qien Yu, Muthu Subash Kavitha, Takio Kurita
Autoencoder framework based on orthogonal projection constraints improves anomalies detection. Neurocomputing 450 (2021)
Qien Yu, Muthu Subash Kavitha, Takio Kurita
Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection. Neural Comput. Appl. 33 (20) (2021)
Qien Yu, Muthu Subash Kavitha, Takio Kurita
Mixture of experts with convolutional and variational autoencoders for anomaly detection. Appl. Intell. 51 (6) (2021)
Naganandhini, Pichai Shanmugavadivu, Kanimozhi, Muthu Subash Kavitha
Data Imputation of Brain MRI Features with Enhanced Multinomial Logistic Regression for Alzheimer's Disease Classification. SIET (2021)
Novanto Yudistira, Muthu Subash Kavitha, Takio Kurita
Weakly-Supervised Action Localization and Action Recognition using Global-Local Attention of 3D CNN. CoRR (2020)
A. Gokulalakshmi, S. Karthik, N. Karthikeyan, Muthu Subash Kavitha
ICM-BTD: improved classification model for brain tumor diagnosis using discrete wavelet transform-based feature extraction and SVM classifier. Soft Comput. 24 (24) (2020)
Lukman Hakim, Novanto Yudistira, Muthu Subash Kavitha, Takio Kurita
U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Image. CoRR (2020)
Muthu Subash Kavitha, J. Shanthini, Reddipalayam Murugeshan Bhavadharini
ECIDS-Enhanced Cancer Image Diagnosis and Segmentation Using Artificial Neural Networks and Active Contour Modelling. J. Medical Imaging Health Informatics 10 (2) (2020)
Shah B. Shrey, Lukman Hakim, Muthu Subash Kavitha, Hae Won Kim, Takio Kurita
Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection. CoRR (2020)
Keijiro Kanda, Muthu Subash Kavitha, Jun'ichi Miyao, Takio Kurita
Analysis of Information Flow in Hidden Layers of the Trained Neural Network by Canonical Correlation Analysis. IW-FCV (2020)
Shah B. Shrey, Lukman Hakim, Muthu Subash Kavitha, Hae Won Kim, Takio Kurita
Transfer Learning by Cascaded Network to Identify and Classify Lung Nodules for Cancer Detection. IW-FCV (2020)
Jonathan Mojoo, Yu Zhao, Muthu Subash Kavitha, Jun'ichi Miyao, Takio Kurita
Completion of Missing Labels for Multi-Label Annotation by a Unified Graph Laplacian Regularization. IEICE Trans. Inf. Syst. (10) (2020)
Muthu Subash Kavitha, J. Shanthini, N. Karthikeyan
Volumetric analysis framework for accurate segmentation and classification (VAF-ASC) of lung tumor from CT images. Soft Comput. 24 (24) (2020)
Young-Ji Yun, Byeong-Cheol Ahn, Muthu Subash Kavitha, Sung-Il Chien
An Efficient Region Precise Thresholding and Direct Hough Transform in Femur and Femoral Neck Segmentation Using Pelvis CT. IEEE Access 8 (2020)
Muthu Subash Kavitha, Novanto Yudistira, Takio Kurita
Multi instance learning via deep CNN for multi-class recognition of Alzheimer's disease. IWCIA (2019)
Muthu Subash Kavitha, J. Shanthini, R. Sabitha
ECM-CSD: An Efficient Classification Model for Cancer Stage Diagnosis in CT Lung Images Using FCM and SVM Techniques. J. Medical Syst. 43 (3) (2019)
Jonathan Mojoo, Yu Zhao, Muthu Subash Kavitha, Jun'ichi Miyao, Takio Kurita
Learning with Incomplete Labels for Multi-label Image Annotation Using CNN and Restricted Boltzmann Machines. ICONIP (2) (2019)
Lukman Hakim, Novanto Yudistira, Muthu Subash Kavitha, Takio Kurita
U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Image. ICONIP (5) (2019)
Qien Yu, Muthu Subash Kavitha, Takio Kurita
Detection of One Dimensional Anomalies Using a Vector-Based Convolutional Autoencoder. ACPR (2) (2019)
Nasrulloh R. B. S. Loka, Muthu Subash Kavitha, Takio Kurita
Hilbert Vector Convolutional Neural Network: 2D Neural Network on 1D Data. ICANN (1) (2019)
Muthu Subash Kavitha, Takio Kurita, Byeong-Cheol Ahn
Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques. Comput. Biol. Medicine 94 (2018)
X. Arputha Rathina, M. Ponnavaikko, K. M. Mehata, Muthu Subash Kavitha
Analysis of User's Behavior Using Markov Model. SocProS (2) (2017)
Muthu Subash Kavitha, Akira Asano, Akira Taguchi, Takio Kurita, Mitsuhiro Sanada
Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided system. BMC Medical Imaging 12 (2012)
Muthu Subash Kavitha, Takio Kurita, Akira Asano, Akira Taguchi
Automatic assessment of mandibular bone using support vector machine for the diagnosis of osteoporosis. SMC (2012)
Muthu Subash Kavitha, Akira Asano, Akira Taguchi
Continuous measurements of mandibular cortical width on dental panoramic radiographs for computer-aided diagnosis of osteoporosis. Medical Imaging: Computer-Aided Diagnosis (2011)