Adaptive XGBOOST Hyper Tuned Meta Classifier for Prediction of Churn Customers. - Srikanth Busa; Swarajya Lakshmi V. Papineni; Gutta Sridevi; D. N. V. S. L. S. Indira; K. S. R. Radhika; Syed Khasim (Intell. Autom. Soft Comput., 2022)

Unraveling the Heterogeneity of Lower-Grade Gliomas: Deep Learning-Assisted Flair Segmentation and Genomic Analysis of Brain MR Images. - Irfan Sadiq Rahat; Hritwik Ghosh; Shaik Kareemulla; Syed Khasim; Gnanajeyaraman Rajaram (EAI Endorsed Trans. Pervasive Health Technol., 2023)

An optimized generalized adversarial system for predicting specific substructures in brainstem. - B. Srikanth; S. Jayaprada; K. Kranthi Kumar; Chaduvula Kavitha; Babu Rao Markapudi; Syed Khasim (Multim. Tools Appl., 2023)

An Effective analysis of brain tumor detection using deep learning. - Yenumala Sankararao; Syed Khasim (EAI Endorsed Trans. Pervasive Health Technol., 2024)

An efficient breast cancer classification and segmentation system by an intelligent gated recurrent framework. - Srikanth Busa; Jayaprada Somala; K. Kranthi Kumar; Syed Khasim; K. S. R. Radhika; Radhika Ankala (Multim. Tools Appl., 2024)