Deep learning model-based segmentation of medical diseases from MRI and CT images. - Anita Murmu; Piyush Kumar (TENCON, 2021)

Diabetic Retinopathy Blood Vessel Detection Using Deep-CNN-Based Feature Extraction and Classification. - Anita Murmu; Piyush Kumar (RTIP2R (2), 2023)

A novel Gateaux derivatives with efficient DCNN-Resunet method for segmenting multi-class brain tumor. - Anita Murmu; Piyush Kumar (Medical Biol. Eng. Comput., 2023)

Deep Learning Based Encoder-Decoder Model for Skin Cancer Classification. - Anita Murmu; Shipra Swati; Naween Kumar; Rajiv Murmu; Yajnaseni Dash (IC3I, 2024)

PolySegResUNet: Polyp Segmentation Residual Unet based Model for Colonoscopy Images. - Anita Murmu; Rajiv Murmu; Piyush Kumar (ICCCNT, 2024)

A novel compression-based 2D-chaotic sine map for enhancing privacy and security of biometric identification systems. - Mobashshirur Rahman; Anita Murmu; Piyush Kumar; Nageswara Rao Moparthi; Suyel Namasudra (J. Inf. Secur. Appl., 2024)

DLRFNet: deep learning with random forest network for classification and detection of malaria parasite in blood smear. - Anita Murmu; Piyush Kumar (Multim. Tools Appl., 2024)

Reliable Federated Learning With GAN Model for Robust and Resilient Future Healthcare System. - Anita Murmu; Piyush Kumar; Nageswara Rao Moparthi; Suyel Namasudra; Pascal Lorenz (IEEE Trans. Netw. Serv. Manag., 2024)

GAN-Based Federated Adversarial Learning for Enhancing Security Towards Consumer Digital Ecosystems. - Anita Murmu; Piyush Kumar; Suyel Namasudra; Rajasekhar Reddy Manyam (IEEE Trans. Consumer Electron., 2025)