4 papers
One CT Unified Model Training Framework to Rule All Scanning Protocols
Fengzhi Xu, Ziyuan Yang, Zexin Lu +4
Non-ideal measurement computed tomography (NICT), which lowers radiation at the cost of image quality, is expanding the clinical use of CT. Although unified models have shown promi…
Depth-induced NTK: Bridging Over-parameterized Neural Networks and Deep Neural Kernels
Yong-Ming Tian, Shuang Liang, Shao-Qun Zhang +1
While deep learning has achieved remarkable success across a wide range of applications, its theoretical understanding of representation learning remains limited. Deep neural kerne…
COLI: A Hierarchical Efficient Compressor for Large Images
Haoran Wang, Hanyu Pei, Yang Lyu +3
The escalating adoption of high-resolution, large-field-of-view imagery amplifies the need for efficient compression methodologies. Conventional techniques frequently fail to prese…
A Survey on Medical Image Compression: From Traditional to Learning-Based Approaches
Guofeng Tong, Sixuan Liu, Yang Lv +2
The exponential growth of medical imaging has created significant challenges in data storage, transmission, and management for healthcare systems. In this vein, efficient compressi…