11 papers
First Observation of Hyperon Transverse Polarization in
BESIII Collaboration, M. Ablikim, M. N. Achasov +687
Based on events collected with the BESIII detector at the BEPCII collider, we present the first observation of spin transverse polarization of…
WP-CLIP: Leveraging CLIP to Predict Wölfflin's Principles in Visual Art
Abhijay Ghildyal, Li-Yun Wang, Feng Liu
Wölfflin's five principles offer a structured approach to analyzing stylistic variations for formal analysis. However, no existing metric effectively predicts all five principles i…
SUSEP-Net: Simulation-Supervised and Contrastive Learning-based Deep Neural Networks for Susceptibility Source Separation
Min Li, Chen Chen, Zhenghao Li +9
Quantitative susceptibility mapping (QSM) provides a valuable tool for quantifying susceptibility distributions in human brains; however, two types of opposing susceptibility sourc…
Predicting the Encoding Error of SIRENs
Jeremy Vonderfecht, Feng Liu
Implicit Neural Representations (INRs), which encode signals such as images, videos, and 3D shapes in the weights of neural networks, are becoming increasingly popular. Among their…
Image Reconstruction with B0 Inhomogeneity using an Interpretable Deep Unrolled Network on an Open-bore MRI-Linac
Shanshan Shan, Yang Gao, David E. J. Waddington +8
MRI-Linac systems require fast image reconstruction with high geometric fidelity to localize and track tumours for radiotherapy treatments. However, B0 field inhomogeneity distorti…
Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis
Ke Liu, Feng Liu, Haishuai Wang +3
(INRs) aim to learn a (i.e., a neural network) to represent an image, where the input and output of the fu…