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Awasthi, N and Gupta, S and Kiran, A and Pardasani, R (2021) State-of-the-art equipment for rapid and accurate diagnosis of COVID-19. [Book Chapter]
Awasthi, N and Pardasani, R and Gupta, S (2021) Multi-threshold Attention U-Net (MTAU) Based Model for Multimodal Brain Tumor Segmentation in MRI Scans. In: 6th International MICCAI Brainlesion Workshop, BrainLes 2020, 4 Oct 2020, pp. 168-178.
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).
Awasthi, N and Kalva, SK and Pramanik, M and Yalavarthy, PK (2021) Dimensionality reduced plug and play priors for improving photoacoustic tomographic imaging with limited noisy data. In: Biomedical Optics Express, 12 (3). pp. 1320-1338.
Awasthi, N and Dayal, A and Cenkeramaddi, LR and Yalavarthy, PK (2021) Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19. In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 68 (6). pp. 2023-2037.
Awasthi, N and Jain, G and Kalva, SK and Pramanik, M and Yalavarthy, PK (2020) Deep Neural Network-Based Sinogram Super-Resolution and Bandwidth Enhancement for Limited-Data Photoacoustic Tomography. In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 67 (12). pp. 2660-2673.
Awasthi, N and Katare, P and Gorthi, SS and Yalavarthy, PK (2020) Guided filter based image enhancement for focal error compensation in low cost automated histopathology microscopic system. In: Journal of Biophotonics .
