Academic Symposium: Short presentations & panel discussion
Author: Armin Sherbanifard
Title: Representing 3D medical images with Implicit Neural Networks
Abstract: Storing medical images is a challenge in the field of medical imaging. Some methods use Implicit Neural Representation (INR) to compress volumetric medical images, but there’s room for better compression. Many INR techniques require substantial GPU memory and lengthy training for high-quality rendering. In our work, we introduce a novel INR approach that leverages the Lanczos downsampling scheme, SIREN deep network, and SRDenseNet high-resolution scheme. Our architecture reduces training time, achieves high compression rates, and maintains rendering quality. It’s also more memory-efficient. Experiments demonstrate superior image quality, faster training, and reduced GPU memory usage compared to using SIREN alone.
Location: Hilton Conference Room, Hilton Bournemouth, Terrace Rd, Bournemouth BH2 5EL
Date: Tuesday 21 November 2023
Time: 15:00 – 17:00