Non-invasive assessment of fractional flow reserve using computational fluid dynamics modelling from coronary angiography images. - A. Udaya Kumar; Raghav R.; R. Reshma; S. P. Angeline Kirubha (Int. J. Medical Eng. Informatics, 2021)

Survival analysis of breast cancer patients using machine learning models. - Keren Evangeline I.; S. P. Angeline Kirubha; J. Glory Precious (Multim. Tools Appl., 2023)

Brain tumour segmentation and survival prognostication using 3D radiomics features and machine learning algorithms. - J. Glory Precious; Keren Evangeline I.; S. P. Angeline Kirubha (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Application program interface for automatic segmentation of retinal layers and fluids in Optical Coherence Tomography - Neovascular Age related Macular degeneration retinal images using deep learning models. - A. Jeya Prabha; M. Sameera Fathimal; G. R. Meghana; S. P. Angeline Kirubha (Int. J. Imaging Syst. Technol., 2024)

Recognizing Emotions from Physiological Data in a Eeg Signals Using a Novel Deep Learning Technique. - R. Nandakumar; S. Deivanayagi; S. P. Angeline Kirubha; R. Prabu (Circuits Syst. Signal Process., 2025)