4 papers
Quantum Compressed Sensing CT Reconstruction Algorithm Based on Penalized Weighted Least Squares and Guided Total Variation
Yuwen Zhang, Yujie Liu, Ao Wang +4
Objective. Existing quadratic unconstrained binary optimization (QUBO)-based sparse-view computed tomography (CT) reconstruction neglects photon-counting statistics and anatomical…
Quantum CT via Dynamic Interval Encoding and Prior-Balanced QUBO Reconstruction
Ao Wang, Yikuang Yuluo, Yujie Liu +7
Quadratic unconstrained binary optimization (QUBO)-based quantum computed tomography (CT) casts reconstruction as a binary quadratic problem for quantum annealing and hybrid quantu…
Projection-Volume Fidelity Divergence: Diagnosing and Controlling Optimization Drift in Sparse-View 3D Gaussian Tomography
Yikuang Yuluo, Ao Wang, Shen Kuan +6
Sparse-view computed tomography is a severely ill-posed inverse problem, where recent 3D Gaussian Splatting methods offer an efficient explicit representation for tomographic recon…
Improving Generalization of Deep Learning for Brain Metastases Segmentation Across Institutions
Yuchen Yang, Shuangyang Zhong, Haijun Yu +4
Background: Deep learning has demonstrated significant potential for automated brain metastases (BM) segmentation; however, models trained at a singular institution often exhibit s…