基于扩散模型的成像逆问题新方法，首次显式正则化重建轨迹的中间状态转换。
arXiv:2605.29012v1 Announce Type: new Abstract: Diffusion-based and iterative methods have become effective tools for solving imaging inverse problems…
贝叶斯方法实现成像逆问题的模型选择与错误指定测试，仅利用噪声和部分测量数据。
arXiv:2510.27663v3 Announce Type: replace-cross Abstract: Modern imaging techniques heavily rely on Bayesian statistical models to address difficult i…
新方法融合分位数不确定性训练与保形校准，为成像逆问题提供统计可靠的误差界限，提升深度学习在医学影像中的可信度。
arXiv:2507.14760v2 Announce Type: replace-cross Abstract: While deep learning offers tremendous promise for scientific and medical imaging, any failur…
新方法用蒸馏预条件算法求解成像逆问题，专治病态感知矩阵下的数据拟合优化难题。
arXiv:2605.15456v1 Announce Type: cross Abstract: Solving imaging inverse problems has usually been addressed by designing proper prior models of the …