Brain Tumor Detection in Conventional MR Images Based on Statistical Texture and Morphological Features. - Manu Gupta; B. V. V. S. N. Prabhakar Rao; Venkateswaran Rajagopalan (ICIT, 2016)

Volumetric analysis of MR images for glioma classification and their effect on brain tissues. - Manu Gupta; Venkateswaran Rajagopalan; Erik P. Pioro; B. V. V. S. N. Prabhakar Rao (Signal Image Video Process., 2017)

Glioma grade classification using wavelet transform-local binary pattern based statistical texture features and geometric measures extracted from MRI. - Manu Gupta; Venkateswaran Rajagopalan; B. V. V. S. N. Prabhakar Rao (J. Exp. Theor. Artif. Intell., 2019)

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)

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)