Neural Model for The Optimization Of Software Project Team. - Madhu S. Nair; Jaya Vijayan (Egypt. Comput. Sci. J., 2006)

A New Method for Sharpening Color Images Using Fuzzy Approach. - M. Wilscy; Madhu S. Nair (ICIAR, 2008)

Expectation-Maximization with Distance Measure for Color Image Segmentation. - Madhu S. Nair; R. Rajasree; Jisha John; M. Wilscy (ICIIS, 2008)

Modified Method for Denoising Color Images using Fuzzy Approach. - Madhu S. Nair; M. Wilscy (SNPD, 2008)

A New Fuzzy-Based Additive Noise Removal Filter. - M. Wilscy; Madhu S. Nair (World Congress on Engineering (Selected Papers), 2008)

Simplified Neural Model for the Software Development Team Optimization. - Madhu S. Nair; Jaya Vijayan (Int. Arab J. Inf. Technol., 2008)

A Novel Approach for Edge Detection Using HBT Filter and Logarithmic Transform. - Madhu S. Nair; R. Vrinthavani; M. Wilscy (ICDIP, 2009)

HBT Filter and Logarithmic Transform Based Edge Detection - A Modified Approach. - Madhu S. Nair; R. Vrinthavani; M. Wilscy (Eng. Lett., 2009)

Noise Adaptive Weighted Switching Median Filter for Removing High Density Impulse Noise. - Madhu S. Nair; P. M. Ameera Mol (ACC (3), 2011)

An Efficient Directional Weighted Median Switching Filter for Impulse Noise Removal in Medical Images. - Madhu S. Nair; J. Reji (ACC (3), 2011)

Detection of Straight Lines Using Rule Directed Pixel Comparison (RDPC) Method. - Anand T. V.; Madhu S. Nair; Rao Tatavarti (ADCONS, 2011)

Additive noise removal using a novel fuzzy-based filter. - Madhu S. Nair; G. Raju 001 (Comput. Electr. Eng., 2011)

Fuzzy lattice and function approximation in image processing. - Sasi Gopalan; C. Sheela; Madhu S. Nair; Souriar Sebastian (Int. J. Intell. Syst. Technol. Appl., 2011)

Satellite image processing for oceanic applications using fuzzy logic. - Madhu S. Nair; Rekha Lakshmanan; M. Wilscy; Rao Tatavarti (Int. J. Intell. Syst. Technol. Appl., 2011)

Fuzzy logic-based automatic contrast enhancement of satellite images of ocean. - Madhu S. Nair; Rekha Lakshmanan; M. Wilscy; Rao Tatavarti (Signal Image Video Process., 2011)

Improved BTC Algorithm for Gray Scale Images Using K-Means Quad Clustering. - Jayamol Mathews; Madhu S. Nair; Liza Jo (ICONIP (4), 2012)

A new fuzzy-based decision algorithm for high-density impulse noise removal. - Madhu S. Nair; G. Raju 001 (Signal Image Video Process., 2012)

Directional switching median filter using boundary discriminative noise detection by elimination. - A. Nasimudeen; Madhu S. Nair; Rao Tatavarti (Signal Image Video Process., 2012)

Wavelet Based Sharp Features (WASH): An Image Quality Assessment Metric Based on HVS. - M. Reenu; Dayana David; S. S. Aneesh Raj; Madhu S. Nair (ADCONS, 2013)

Forgery Detection in Ballistic Motion Videos Using Motion Estimation and Modelling. - Jithin Raj; Madhu S. Nair (MIKE, 2013)

Direction based adaptive weighted switching median filter for removing high density impulse noise. - Madhu S. Nair; P. M. Ameera Mol (Comput. Electr. Eng., 2013)

Predictive-based adaptive switching median filter for impulse noise removal using neural network-based noise detector. - Madhu S. Nair; Viju Shankar (Signal Image Video Process., 2013)

Discontinuity Adaptive Non-Local Means With Importance Sampling Unscented Kalman Filter for De-Speckling SAR Images. - Christy Jojy; Madhu S. Nair; Gorthi R. K. Sai Subrahmanyam; R. Riji (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

A Novel Color Image Coding Technique Using Improved BTC with k-means Quad Clustering. - Jayamol Mathews; Madhu S. Nair; Liza Jo (SIRS, 2014)

Edge preserving single image super-resolution with improved visual quality. - S. Vishnukumar; Madhu S. Nair; M. Wilscy (Signal Process., 2014)

Adaptive block truncation coding technique using edge-based quantization approach. - Jayamol Mathews; Madhu S. Nair (Comput. Electr. Eng., 2015)

Iterative bilateral filter for Rician noise reduction in MR images. - R. Riji; Jeny Rajan; Jan Sijbers; Madhu S. Nair (Signal Image Video Process., 2015)

Pre- and Post-fingerprint Skeleton Enhancement for Minutiae Extraction. - Geevar C. Zacharias; Madhu S. Nair; P. Sojan Lal (CVIP (1), 2016)

Detection of mitotic nuclei in breast histopathology images using localized ACM and Random Kitchen Sink based classifier. - K. Sabeena Beevi; Madhu S. Nair; G. R. Bindu (EMBC, 2016)

Image reconstruction from random samples using multiscale regression framework. - Susmi Jacob; Madhu S. Nair (Neurocomputing, 2016)

Malaria Parasite Detection From Peripheral Blood Smear Images Using Deep Belief Networks. - Dhanya Bibin; Madhu S. Nair; P. Punitha 001 (IEEE Access, 2017)

Guided SAR image despeckling with probabilistic non local weights. - Jithin Gokul; Madhu S. Nair; Jeny Rajan (Comput. Geosci., 2017)

Temperature mapping of a rotary kiln using fuzzy logic. - L. R. Sreedhanya; Abi Varghese; Madhu S. Nair; M. Wilscy (J. Intell. Fuzzy Syst., 2017)

Fingerprint reference point identification based on chain encoded discrete curvature and bending energy. - Geevar C. Zacharias; Madhu S. Nair; P. Sojan Lal (Pattern Anal. Appl., 2017)

Dynamic Summarization of Videos Based on Descriptors in Space-Time Video Volumes and Sparse Autoencoder. - Jesna Mohan; Madhu S. Nair (IEEE Access, 2018)

Computer-aided classification of prostate cancer grade groups from MRI images using texture features and stacked sparse autoencoder. - Bejoy Abraham; Madhu S. Nair (Comput. Medical Imaging Graph., 2018)

Identification of tongue print images for forensic science and biometric authentication. - Trivandrum T. Sivakumar; Shali S. Nair; Geevar C. Zacharias; Madhu S. Nair; Anna P. Joseph (J. Intell. Fuzzy Syst., 2018)

SAR Image Super Resolution using Importance Sampling Unscented Kalman Filter. - Sithara Kanakaraj; Madhu S. Nair; Saidalavi Kalady (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Video Summarization using Convolutional Neural Network and Random Forest Classifier. - Madhu S. Nair; Jesna Mohan (TENCON, 2019)

Correction to "Dynamic Summarization of Videos Based on Descriptors in Space-Time Video Volumes and Sparse Autoencoder". - Jesna Mohan; Madhu S. Nair (IEEE Access, 2019)

Adaptive Importance Sampling Unscented Kalman Filter based SAR image super resolution. - Sithara Kanakaraj; Madhu S. Nair; Saidalavi Kalady (Comput. Geosci., 2019)

Computer-aided grading of prostate cancer from MRI images using Convolutional Neural Networks. - Bejoy Abraham; Madhu S. Nair (J. Intell. Fuzzy Syst., 2019)

Domain independent static video summarization using sparse autoencoders and K-means clustering. - Jesna Mohan; Madhu S. Nair (J. Intell. Fuzzy Syst., 2019)

A machine learning approach for fast mode decision in HEVC intra prediction based on statistical features. - Preethi S. Nair; K. R. Rao 001; Madhu S. Nair (J. Intell. Fuzzy Syst., 2019)

Sparse Representation Over Learned Dictionaries on the Riemannian Manifold for Automated Grading of Nuclear Pleomorphism in Breast Cancer. - Asha Das; Madhu S. Nair; S. David Peter (IEEE Trans. Image Process., 2019)

Scalable multi-view stereo using CMA-ES and distance transform-based depth map refinement. - Nirmal Sukumaran Nair; Madhu S. Nair (ICMV, 2020)

Batch Mode Active Learning on the Riemannian Manifold for Automated Scoring of Nuclear Pleomorphism in Breast Cancer. - Asha Das; Madhu S. Nair; S. David Peter (Artif. Intell. Medicine, 2020)

Computer-Aided Histopathological Image Analysis Techniques for Automated Nuclear Atypia Scoring of Breast Cancer: a Review. - Asha Das; Madhu S. Nair; S. David Peter (J. Digit. Imaging, 2020)

Tongue print identification using deep CNN for forensic analysis. - Santhu Sadasivan; Trivandrum T. Sivakumar; Anna P. Joseph; Geevar C. Zacharias; Madhu S. Nair (J. Intell. Fuzzy Syst., 2020)

On evolutionary computation techniques for multi-view triangulation. - Nirmal Sukumaran Nair; Madhu S. Nair (Mach. Vis. Appl., 2020)

Multilevel thresholding for image segmentation using Krill Herd Optimization algorithm. - K. P. Baby Resma; Madhu S. Nair (J. King Saud Univ. Comput. Inf. Sci., 2021)

Static video summarization using multi-CNN with sparse autoencoder and random forest classifier. - Madhu S. Nair; Jesna Mohan (Signal Image Video Process., 2021)

A computer-aided diagnosis system for the classification of COVID-19 and non-COVID-19 pneumonia on chest X-ray images by integrating CNN with sparse autoencoder and feed forward neural network. - Gayathri J. L.; Bejoy Abraham; Sujarani M. S.; Madhu S. Nair (Comput. Biol. Medicine, 2022)

Copy-move forgery detection using binary discriminant features. - Priya Mariam Raju; Madhu S. Nair (J. King Saud Univ. Comput. Inf. Sci., 2022)

Adaptive Importance Sampling Unscented Kalman Filter With Kernel Regression for SAR Image Super-Resolution. - Sithara Kanakaraj; Madhu S. Nair; Saidalavi Kalady (IEEE Geosci. Remote. Sens. Lett., 2022)

An empirical study of the impact of masks on face recognition. - Govind Jeevan; Geevar C. Zacharias; Madhu S. Nair; Jeny Rajan (Pattern Recognit., 2022)

Computer-aided detection of COVID-19 from CT scans using an ensemble of CNNs and KSVM classifier. - Bejoy Abraham; Madhu S. Nair (Signal Image Video Process., 2022)

DRG-NET: A graph neural network for computer-aided grading of diabetic retinopathy. - Amritha Abdul Salam; Manjunatha Mahadevappa; Asha Das; Madhu S. Nair (Signal Image Video Process., 2022)

Multi-View Stereo Using Graph Cuts-Based Depth Refinement. - Nirmal Sukumaran Nair; Madhu S. Nair (IEEE Signal Process. Lett., 2022)

NAS-SGAN: A Semi-Supervised Generative Adversarial Network Model for Atypia Scoring of Breast Cancer Histopathological Images. - Asha Das; Vinod Kumar Devarampati; Madhu S. Nair (IEEE J. Biomed. Health Informatics, 2022)

On the performance analysis of solving the Rubik's cube using swarm intelligence algorithms. - Jishnu Jeevan; Madhu S. Nair (Appl. Artif. Intell., 2022)

Self-supervised animal detection in constrained environment. - Fayaz Rahman; C. B. Dev Narayan; Mohib Ullah; Muhammad Mudassar Yamin; Øyvind Nordbø; Christopher Coello; Ali Shariq Imran; G. Santhosh Kumar; Madhu S. Nair; Faouzi Alaya Cheikh (BMVC Workshop, 2023)

Tracking-by-Self Detection: A Self-supervised Framework for Multiple Animal Tracking. - C. B. Dev Narayan; Fayaz Rahman; Mohib Ullah; Faouzi Alaya Cheikh; Ali Shariq Imran; Christopher Coello; Øyvind Nordbø; G. Santhosh Kumar; Madhu S. Nair (AIAI (1), 2023)

VSMCNN-dynamic summarization of videos using salient features from multi-CNN model. - Madhu S. Nair; Jesna Mohan (J. Ambient Intell. Humaniz. Comput., 2023)

RDD-Net: retinal disease diagnosis network: a computer-aided diagnosis technique using graph learning and feature descriptors. - Amritha Abdul Salam; Manjunatha Mahadevappa; Asha Das; Madhu S. Nair (Vis. Comput., 2023)

On the Automated Unruptured Intracranial Aneurysm Segmentation From TOF-MRA Using Deep Learning Techniques. - V. A. Anima; Madhu S. Nair (IEEE Access, 2024)

KSVM-Based Fast Intra Mode Prediction in HEVC Using Statistical Features and Sparse Autoencoder. - Preethi S. Nair; Madhu S. Nair (IEEE Access, 2024)

GenCoder: A Novel Convolutional Neural Network Based Autoencoder for Genomic Sequence Data Compression. - Sheena K. S.; Madhu S. Nair (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Dual Encoder-Decoder Shifted Window-Based Transformer Network for Polyp Segmentation With Self-Learning Approach. - Lijin P.; Mohib Ullah; Anuja Vats; Faouzi Alaya Cheikh; G. Santhosh Kumar; Madhu S. Nair (IEEE Trans. Artif. Intell., 2024)

DNACoder: a CNN-LSTM attention-based network for genomic sequence data compression. - Sheena K. S.; Madhu S. Nair (Neural Comput. Appl., 2024)

Analyzing the Efficacy of Computer-Aided Detection in Cerebral Aneurysm Diagnosis Using MRI Modality: A Review. - Keerthi A. S. Pillai; Preena K. P.; Madhu S. Nair (IEEE Access, 2025)

Evaluation of techniques for automated classification and artery quantification of the circle of Willis on TOF-MRA images: The CROWN challenge. - Iris N. Vos; Ynte M. Ruigrok; Edwin Bennink; Mireille R. E. Velthuis; Barbara Paic; Maud E. H. Ophelders; Myrthe A. D. Buser; Bas H. M. van der Velden; Chen Geng 002; Matthieu Coupet; Félix Dumais; Adrian Galdran; et al. (Medical Image Anal., 2025)

Correction: DNACoder: a CNN-LSTM attention-based network for genomic sequence data compression. - Sheena K. S.; Madhu S. Nair (Neural Comput. Appl., 2025)