6 papers
DAPS++: Rethinking Diffusion Inverse Problems with Decoupled Posterior Annealing
Hao Chen, Renzheng Zhang, Scott S. Howard
From a Bayesian perspective, score-based diffusion solves inverse problems through joint inference, embedding the likelihood with the prior to guide the sampling process. However,…
Free Lunch in Medical Image Foundation Model Pre-training via Randomized Synthesis and Disentanglement
Yuhan Wei, Yuting He, Linshan Wu +3
Medical image foundation models (MIFMs) have demonstrated remarkable potential for a wide range of clinical tasks, yet their development is constrained by the scarcity, heterogenei…
A Deep Learning-Enhanced Fourier Method for the Multi-Frequency Inverse Source Problem with Sparse Far-Field Data
Hao Chen, Yan Chang, Yukun Guo +1
This paper introduces a hybrid computational framework for the multi-frequency inverse source problem governed by the Helmholtz equation. By integrating a classical Fourier method…
Dynamic Stream Network for Combinatorial Explosion Problem in Deformable Medical Image Registration
Shaochen Bi, Yuting He, Weiming Wang +1
Combinatorial explosion problem caused by dual inputs presents a critical challenge in Deformable Medical Image Registration (DMIR). Since DMIR processes two images simultaneously…
Learned Regularization for Microwave Tomography
Bowen Tong, Hao Chen, Shaorui Guo +1
Microwave Tomography (MWT) aims to reconstruct the dielectric properties of tissues from measured scattered electromagnetic fields. This inverse problem is highly nonlinear and ill…
Low-Rank Adaptive Structural Priors for Generalizable Diabetic Retinopathy Grading
Yunxuan Wang, Ray Yin, Yumei Tan +2
Diabetic retinopathy (DR), a serious ocular complication of diabetes, is one of the primary causes of vision loss among retinal vascular diseases. Deep learning methods have been e…