Author

Emma J. Reid

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Preprint Sep 2026

Deep Pseudo-Proximal Map: A Self-Supervised Data-Fitting Agent for Iterative Reconstruction

Iterative algorithms for inverse imaging problems split reconstruction into alternating subproblems, one of which requires evaluating the data-fitting proximal map. In many practical cases, this proximal map has no analytic solution and so must be approximated by an inner loop solver at every iteration, compounding the...

Haley Duba-Sullivan, Emma J. Reid, Charles A. Bouman et al. · 0 citations

Preprint Sep 2026

Detection of Adversarial Attacks on Super-Resolvers Using Spectral Features

The integration of deep learning models into image preprocessing pipelines such as super-resolution introduces a largely unexplored attack vector for adversaries targeting downstream tasks. To ensure trustworthiness of critical imaging pipelines, we must be able to detect adversarial behavior within preprocessing model...

Emma J. Reid, Haley Duba-Sullivan, Tony G. Allen · 0 citations

Review Jul 2026

Efficient Computing for Medical Image Acquisition and Reconstruction

This chapter presents a unified computational perspective on medical image acquisition and reconstruction across CT, MRI, PET, and SPECT, and examines efficient computing considerations, including optimization algorithms, physics-aware forward operators, memory-efficient implementations, and parallel computing strategi...

Xiao Wang, Jayasai R. Rajagopal, Md Safaiat Hossain et al. · 0 citations