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Diffusion Priors for Photoacoustic Imaging: Promise, Constraints, and Validation
A source-bounded review of diffusion priors for constrained photoacoustic reconstruction and validation
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Inverse Problems in Imaging: Forward Models, Regularization, and Tomographic Reconstruction
A technical introduction to forward models, regularized estimation, resolution-noise trade-offs, and analytical tomography
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INR Architecture Notes: MLP, Fourier Features, NeRF, SIREN, and BACON
A compact note on core implicit neural representation architectures and their forward equations
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Review on Implicit Neural Representations and its Applications in Medical Imaging
review on inr
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2D Fan-Beam Tomography
Notes on backprojection algorithm of fan-beam CT