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- Currently displaying 61 - 80 of 600 publications
Enhanced Denoising and Convergent Regularisation Using Tweedie Scaling
– Lecture Notes in Computer Science
(2025)
15667,
185
(doi: 10.1007/978-3-031-92366-1_15)
Stochastic Primal-Dual Three Operator Splitting Algorithm with Extension to Equivariant Regularization-by-Denoising
– Lecture Notes in Computer Science
(2025)
15668 LNCS,
30
(doi: 10.1007/978-3-031-92369-2_3)
Review and recommendations for using artificial intelligence in intracoronary optical coherence tomography analysis.
– European Heart Journal - Digital Health
(2025)
6,
529
(doi: 10.1093/ehjdh/ztaf053)
The extended adjoint state and nonlinearity in correlation-based passive imaging
(2025)
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations
– Proceedings of the Aaai Conference on Artificial Intelligence
(2025)
39,
10302
(doi: 10.1609/aaai.v39i10.33118)
Learning Regularization for Graph Inverse Problems
– Proceedings of the Aaai Conference on Artificial Intelligence
(2025)
39,
16471
(doi: 10.1609/aaai.v39i16.33809)
Iterative Operator Sketching Framework for Large-Scale Imaging Inverse Problems
– ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
(2025)
00,
1
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
– Proceedings of the Aaai Conference on Artificial Intelligence
(2025)
39,
16906
(doi: 10.1609/aaai.v39i16.33858)
Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction
– IEEE Transactions on Instrumentation and Measurement
(2025)
74,
1
(doi: 10.1109/TIM.2025.3554318)
Enhancing Brain Age Prediction and Neurodegeneration Detection with Contrastive Learning on Regional Biomechanical Properties.
(2025)
(doi: 10.1101/2025.03.25.645330)
Noisier2Inverse: Self-Supervised Learning for Image Reconstruction with Correlated Noise
(2025)
A Study of Why We Need to Reassess Full Reference Image Quality Assessment with Medical Images.
– Journal of Imaging Informatics in Medicine
(2025)
38,
3444
(doi: 10.1007/s10278-025-01462-1)
A study of why we need to reassess full reference image quality assessment with medical images
(2025)
(doi: 10.48550/arxiv.2405.19097)