6 papers
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…
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,…
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…