no code implementations • 17 Mar 2024 • Sheetal Patil, Sauvik Banerjee, Siddharth Tallur
Experimental results obtained using a C-clamp for applying mass loading on the pipe show good agreement with the FE simulations.
no code implementations • 11 Oct 2023 • Shubham Singh, Dr. Mrunal Bewoor, Ammar Ranapurwala, Satyam Rai, Sheetal Patil
The study presents a deep learning framework aimed at synthesizing 3D MRI volumes from three-dimensional ultrasound images of the brain utilizing the Pix2Pix GAN model.
no code implementations • 8 Oct 2023 • Pankhi Kashyap, Kajal Shivgan, Sheetal Patil, Ramana Raja B, Sagar Mahajan, Sauvik Banerjee, Siddharth Tallur
Fueled by the rapid development of machine learning (ML) and greater access to cloud computing and graphics processing units (GPUs), various deep learning based models have been proposed for improving performance of ultrasonic guided wave structural health monitoring (GW-SHM) systems, especially to counter complexity and heterogeneity in data due to varying environmental factors (e. g., temperature) and types of damages.
no code implementations • 8 Sep 2023 • Shubham Singh, Ammar Ranapurwala, Mrunal Bewoor, Sheetal Patil, Satyam Rai
This review paper delves into the present state of medical imaging, with a specific focus on the use of deep learning techniques for brain image synthesis.
no code implementations • 11 Nov 2021 • Shruti Sawant, Sheetal Patil, Jeslin Thalapil, Sauvik Banerjee, Siddharth Tallur
Features learnt by the CNNs are used for damage classification and localization of damage by modeling the probability distribution of the features using GMMs.