Author

Haley Duba-Sullivan

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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

Preprint Aug 2026

Toward a Foundation Plug-and-Play Prior for Computed Tomography Reconstruction via a Multimodal Diffusion Model

This work investigates whether a single diffusion model trained across several imaging domains can instead serve as a prior for many CT problems simultaneously, and proposes a frozen model that out-performs analytic reconstructions in all three cases.

Haley Duba-Sullivan, Patxi Fernandez-Zelaia, Obaidullah Rahman et al. · 0 citations