2 citations · 5 across the 13 of their papers we have counts for
13 papers
Provenance Before Prose: Claim-Locked Reporting for Statistical Text Generation
Xiao Fan, Jingyuan Li, Hongbin Guo +2
Large language models (LLMs) can fluently verbalize statistical evidence, yet statistical reports can still drift numerical values, invert effect directions, or restate thresholded…
Frequency-Decorrelated Temporal Ensembles for EEG--fNIRS Imagined-Handwriting Decoding
Xiao Fan, Hongbin Guo, Yubo Han +1
Imagined handwriting offers a temporally rich paradigm for non-invasive neural decoding, yet reliable recognition across unseen participants remains difficult because scalp EEG is…
BrainRing: An Interactive Web-Based Tool for Brain Connectivity Chord Diagram Visualization
Xiao Fan, Yi Zhang
Visualizing brain functional connectivity (FC) patterns is essential for understanding neural organization, yet existing tools such as Circos and BrainNet Viewer require complex co…
Adapting Frozen Mono-modal Backbones for Multi-modal Registration via Contrast-Agnostic Instance Optimization
Yi Zhang, Yidong Zhao, Qian Tao
Deformable image registration remains a central challenge in medical image analysis, particularly under multi-modal scenarios where intensity distributions vary significantly acros…
Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation
Yidong Zhao, Peter Kellman, Hui Xue +5
Pretrained segmentation models for cardiac magnetic resonance imaging (MRI) struggle to generalize across different imaging sequences due to significant variations in image contras…
Bridging Classical and Learning-based Iterative Registration through Deep Equilibrium Models
Yi Zhang, Yidong Zhao, Qian Tao
Deformable medical image registration is traditionally formulated as an optimization problem. While classical methods solve this problem iteratively, recent learning-based approach…
Physics-Informed Neural ODEs for Temporal Dynamics Modeling in Cardiac T1 Mapping
Nuno Capitão, Yi Zhang, Yidong Zhao +1
Spin-lattice relaxation time () is an important biomarker in cardiac parametric mapping for characterizing myocardial tissue and diagnosing cardiomyopathies. Conventional Modi…
Improving Instance Optimization in Deformable Image Registration with Gradient Projection
Yi Zhang, Yidong Zhao, Qian Tao
Deformable image registration is inherently a multi-objective optimization (MOO) problem, requiring a delicate balance between image similarity and deformation regularity. These co…
Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base
Yidong Zhao, Yi Zhang, Orlando Simonetti +2
Accurate biventricular segmentation of cardiac magnetic resonance (CMR) cine images is essential for the clinical evaluation of heart function. However, compared to left ventricle…
Deep-learning-based groupwise registration for motion correction of cardiac mapping
Yi Zhang, Yidong Zhao, Lu Huang +2
Quantitative mapping by MRI is an increasingly important tool for clinical assessment of cardiovascular diseases. The cardiac map is derived by fitting a known signal m…
Recurrent Inference Machine for Medical Image Registration
Yi Zhang, Yidong Zhao, Hui Xue +3
Image registration is essential for medical image applications where alignment of voxels across multiple images is needed for qualitative or quantitative analysis. With recent adva…
Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image Reconstruction
Yidong Zhao, Yi Zhang, Qian Tao
Deep learning-based methods have achieved prestigious performance for magnetic resonance imaging (MRI) reconstruction, enabling fast imaging for many clinical applications. Previou…
Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRI
Xinqi Li, Yi Zhang, Yidong Zhao +2
Quantitative cardiac magnetic resonance imaging (MRI) is an increasingly important diagnostic tool for cardiovascular diseases. Yet, co-registration of all baseline images within t…