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eess.IV2024★ 1 cited
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation
Vincent Loos, Rohit Pardasani, Navchetan Awasthi
Medical image segmentation is a critical task in healthcare applications, and U-Nets have demonstrated promising results. This work delves into the understudied aspect of receptive…
eess.IV2020★ 18 cited
Sinogram super-resolution and denoising convolutional neural network (SRCN) for limited data photoacoustic tomography
Navchetan Awasthi, Rohit Pardasani, Sandeep Kumar Kalva +2
The quality of the reconstructed photoacoustic image largely depends on the amount of photoacoustic (PA) boundary data available, which in turn is proportional to the number of det…