Up a level |
Gupta, U and Paluru, N and Nankani, D and Kulkarni, K and Awasthi, N (2024) A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms. In: Heliyon, 10 (5).
Mathew, RS and Paluru, N and Yalavarthy, PK (2023) Model resolution-based deconvolution for improved quantitative susceptibility mapping. In: NMR in Biomedicine .
Vengala, KS and Paluru, N and Gorthi, RKSS (2022) 3D deformation measurement in digital holographic interferometry using a multitask deep learning architecture. In: Journal of the Optical Society of America A: Optics and Image Science, and Vision, 39 (1). pp. 167-176.
Paluru, N and Dayal, A and Jenssen, HB and Sakinis, T and Cenkeramaddi, LR and Prakash, J and Yalavarthy, PK (2021) Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images. In: IEEE Transactions on Neural Networks and Learning Systems, 32 (3). pp. 932-946.
Dayal, A and Paluru, N and Cenkeramaddi, LR and Soumya, J and Yalavarthy, PK (2021) Design and implementation of deep learning based contactless authentication system using hand gestures. In: Electronics (Switzerland), 10 (2). pp. 1-15.