Segmentation and Volume Estimation of Brain tissues from MR Images. - S. S. Smitha; K. Revathy; C. Kesavadas (IMECS, 2006)

An optimal brain tumor segmentation algorithm for clinical MRI dataset with low resolution and non-contiguous slices. - Dheerendranath Battalapalli; B. V. V. S. N. Prabhakar Rao; P. Yogeeswari; C. Kesavadas; Venkateswaran Rajagopalan (BMC Medical Imaging, 2022)

Application of Graph Theoretic measures for assessing efficacy of Stroke Rehabilitation. - Upadrasta Naga Sita Sravanthi; Kamalakar Dadi; Bapi Raju Surampudi; P. N. Sylaja; C. Kesavadas; Srijithesh PR; Rinta Paul (IJCNN, 2023)

Unsupervised landmark detection and classification of lung infection using transporter neural networks. - Arpan Tripathi; Mahesh Raveendranatha Panicker; Abhilash Rakkunedeth Hareendranathan; Jacob L. Jaremko; Yale Tung Chen; Kiran Vishnu Narayan; C. Kesavadas (Comput. Biol. Medicine, 2023)

Fusion of 3D Convolutional Neural Network and Multifractal Features for High- and Low-grade Glioma Classification using Diffusion Tensor Imaging. - Sreejith Vidyadharan; Bvvsn Prabhakar Rao; P. Yogeeswari; C. Kesavadas; Venkateswaran Rajagopalan (CVMI, 2024)

Dual independent pathway-densely connected residual network with dilated convolution-based arterial spin labeling MRI image reconstruction with minimum label-control pairs. - A. Shyna; Ushadevi Amma C.; Ansamma John; C. Kesavadas; Bejoy Thomas (Int. J. Imaging Syst. Technol., 2024)