DFCAFNet: Dual-feature co-attentive fusion network for diabetic retinopathy grading. - Sandeep Madarapu; Samit Ari; Kamalakanta Mahapatra (Biomed. Signal Process. Control., 2024)

A multi-resolution convolutional attention network for efficient diabetic retinopathy classification. - Sandeep Madarapu; Samit Ari; Kamalakanta Mahapatra (Comput. Electr. Eng., 2024)

A deep integrative approach for diabetic retinopathy classification with synergistic channel-spatial and self-attention mechanism. - Sandeep Madarapu; Samit Ari; K. K. Mahapatra (Expert Syst. Appl., 2024)

CRA-Net: Cross reverse attention network for classification of neuro-degenerative diseases based on gait analysis. - Deepika Bodepu; Mohammad Iman Junaid; Sandeep Madarapu; Jaya Prakash Sahoo; Samit Ari (Biomed. Signal Process. Control., 2025)

Human gait recognition using dense residual network and hybrid attention technique with back-flow mechanism. - Mohammad Iman Junaid; Sandeep Madarapu; Samit Ari (Digit. Signal Process., 2025)

Diabetic retinopathy grading based on multi-scale residual network and cross-attention module. - Atul Kumar Singh; Sandeep Madarapu; Samit Ari (Digit. Signal Process., 2025)

C2x-FNet: Cascaded Dense Block With Twofold Cross-Feature Enhancement Module for Diabetic Retinopathy Grading. - Sandeep Madarapu; Samit Ari; Kamalakanta Mahapatra (IEEE Trans. Instrum. Meas., 2025)

Human gait recognition using attention based convolutional network with sequential learning. - Mohammad Iman Junaid; Sandeep Madarapu; Samit Ari (Signal Image Video Process., 2025)