UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation
In the field of medical image compression, Implicit Neural Representation (INR) networks
have shown remarkable versatility due to their flexible compression ratios, yet they are …
have shown remarkable versatility due to their flexible compression ratios, yet they are …
Implicit Neural Representations with Fourier Kolmogorov-Arnold Networks
Implicit neural representations (INRs) use neural networks to provide continuous and
resolution-independent representations of complex signals with a small number of …
resolution-independent representations of complex signals with a small number of …
SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution
Implicit Neural Representations (INRs) have recently advanced the field of deep learning
due to their ability to learn continuous representations of signals without the need for large …
due to their ability to learn continuous representations of signals without the need for large …
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution
W Xie, R Schoonhoven, T van Leeuwen… - arXiv preprint arXiv …, 2024 - arxiv.org
Computed tomography (CT) reconstruction plays a crucial role in industrial nondestructive
testing and medical diagnosis. Sparse view CT reconstruction aims to reconstruct high …
testing and medical diagnosis. Sparse view CT reconstruction aims to reconstruct high …
HOIN: High-Order Implicit Neural Representations
Y Chen, R Wu, Y Liu, C Zhu - arXiv preprint arXiv:2404.14674, 2024 - arxiv.org
Implicit neural representations (INR) suffer from worsening spectral bias, which results in
overly smooth solutions to the inverse problem. To deal with this problem, we propose a …
overly smooth solutions to the inverse problem. To deal with this problem, we propose a …