The following pages link to ODL (Q34151):
Displaying 19 items.
- High-level algorithm prototyping: an example extending the TVR-DART algorithm (Q1690383) (← links)
- Statistical model and ML-EM algorithm for emission tomography with known movement (Q2036202) (← links)
- Neural network for data preprocessing in computed tomography (Q2069692) (← links)
- Feasibility-based fixed point networks (Q2138454) (← links)
- Shape-based image reconstruction using linearized deformations (Q2977545) (← links)
- Cryogenic electron tomography reconstructions from phaseless data (Q4555027) (← links)
- Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications (Q4687241) (← links)
- Generalized Sinkhorn Iterations for Regularizing Inverse Problems Using Optimal Mass Transport (Q4689648) (← links)
- Hyper-molecules: on the representation and recovery of dynamical structures for applications in flexible macro-molecules in cryo-EM (Q5000571) (← links)
- Deep Learning--Based Dictionary Learning and Tomographic Image Reconstruction (Q5056920) (← links)
- Wasserstein-Based Projections with Applications to Inverse Problems (Q5074785) (← links)
- Deep synthesis network for regularizing inverse problems (Q5150821) (← links)
- Pocket guide to solve inverse problems with GlobalBioIm (Q5193494) (← links)
- Data-Driven Nonsmooth Optimization (Q5210515) (← links)
- The ML–EM algorithm in continuum: sparse measure solutions (Q5220313) (← links)
- A Multichannel Cross-Modal Fusion Framework for Electron Tomography (Q5238461) (← links)
- Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography (Q5860291) (← links)
- Unsupervised knowledge-transfer for learned image reconstruction* (Q5867677) (← links)
- Joint Gaussian dictionary learning and tomographic reconstruction (Q5867688) (← links)
