Evolutionary intelligence for brain tumor recognition from MRI images: a critical study and review. - K. Michael Mahesh; J. Arokia Renjit (Evol. Intell., 2018)

DeepJoint segmentation for the classification of severity-levels of glioma tumour using multimodal MRI images. - K. Michael Mahesh; J. Arokia Renjit (IET Image Process., 2020)

Multiclassifier for severity-level categorization of glioma tumors using multimodal magnetic resonance imaging brain images. - K. Michael Mahesh; J. Arokia Renjit (Int. J. Imaging Syst. Technol., 2020)

Detection and Localization of Abnormalities in Surveillance Video Using Timerider-Based Neural Network. - S. Veluchamy; L. R. Karlmarx; K. Michael Mahesh (Comput. J., 2021)

RBorderNet: Rider Border Collie Optimization-based Deep Convolutional Neural Network for road scene segmentation and road intersection classification. - K. Michael Mahesh; S. Veluchamy; J. Thirumalai; Sureshkanna P. (Digit. Signal Process., 2022)

DeepDrive: A braking decision making approach using optimized GAN and Deep CNN for advanced driver assistance systems. - S. Veluchamy; K. Michael Mahesh; Pon Bharathi A.; Paul T. Sheeba (Eng. Appl. Artif. Intell., 2023)

HY-LSTM: A new time series deep learning architecture for estimation of pedestrian time to cross in advanced driver assistance system. - S. Veluchamy; K. Michael Mahesh; Muthukrishnan R; Karthi S (J. Vis. Commun. Image Represent., 2023)