Improved pure pixel identification algorithms to determine the endmembers in hyperspectral images. - S. Graceline Jasmine; V. Pattabiraman (Comput. Electr. Eng., 2018)

Computer-aided diagnosis of COVID-19 from chest X-ray images using histogram-oriented gradient features and Random Forest classifier. - Malathy Jawahar; Prassanna Jayachandran; Vinayakumar Ravi; L. Jani Anbarasi; S. Graceline Jasmine; Manikandan Ramachandran; Ramesh Sekaran; Suthendran Kannan (Multim. Tools Appl., 2022)

Diabetic Retinopathy Classification Using CNN and Hybrid Deep Convolutional Neural Networks. - Yasashvini R.; M. Vergin Raja Sarobin; Rukmani Panjanathan; S. Graceline Jasmine; L. Jani Anbarasi (Symmetry, 2022)

Screening of COVID-19 Based on GLCM Features from CT Images Using Machine Learning Classifiers. - A. Beena Godbin; S. Graceline Jasmine (SN Comput. Sci., 2023)

Trs-net tropical revolving storm disasters analysis and classification based on multispectral images using 2-d deep convolutional neural network. - Malathy Jawahar; L. Jani Anbarasi; S. Graceline Jasmine; Febin Daya John Lionel; Vinayakumar Ravi; Prasun Chakrabarti (Multim. Tools Appl., 2023)

Detection of AI-Generated Image Content in News and Journalism. - Tarun Jagadish; S. Graceline Jasmine (ICCCNT, 2024)

Leveraging Radiomics and Genetic Algorithms to Improve Lung Infection Diagnosis in X-Ray Images Using Machine Learning. - A. Beena Godbin; S. Graceline Jasmine (IEEE Access, 2024)

Corrections to "Leveraging Radiomics and Genetic Algorithms to Improve Lung Infection Diagnosis in X-Ray Images Using Machine Learning". - A. Beena Godbin; S. Graceline Jasmine (IEEE Access, 2024)