CephXNet: A Deep Convolutional Squeeze-and-Excitation Model for Landmark Prediction on Lateral Cephalograms. - R. Neeraja; L. Jani Anbarasi (IEEE Access, 2023)

SpineStyle: Conceptualizing Style Transfer for Image-Guided Spine Surgery on Radiographs. - R. Neeraja; S. Devadharshiniinst; Venkateswaran N; Vivek Maik; Aparna Purayath; Manojkumar Lakshmanan; Mohanasankar Sivaprakasam (MLMI@MICCAI (1), 2024)

WISNet: A deep neural network based human activity recognition system. - Sharen H; L. Jani Anbarasi; Rukmani Panjanathan; Amir H. Gandomi; R. Neeraja; Modigari Narendra (Expert Syst. Appl., 2024)

An overview of current developments and methods for identifying diabetic foot ulcers: A survey. - L. Jani Anbarasi; Malathy Jawahar; R. Beulah Jayakumari; Modigari Narendra; Vinayakumar Ravi; R. Neeraja (WIREs Data. Mining. Knowl. Discov., 2024)

DentC_BSFLNet: Boundary Refined and Spatial Adaptive Feature Learning Network for Enhanced Dental Caries Segmentation. - R. Neeraja; L. Jani Anbarasi (IEEE Access, 2025)

CephTransXnet: An attention enhanced feature fusion network leveraging neighborhood rough set approach for cephalometric landmark prediction. - R. Neeraja; L. Jani Anbarasi (Comput. Biol. Medicine, 2025)

A critical review of artificial intelligence based techniques for automatic prediction of cephalometric landmarks. - R. Neeraja; L. Jani Anbarasi (Artif. Intell. Rev., 2025)