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UnwrapDiff: A Conditional Diffusion Model for InSAR Phase Unwrapping
Yijia Song, Juliet Biggs, Alin Achim +3
Phase unwrapping is a fundamental problem in InSAR data processing, supporting geophysical applications such as deformation monitoring and hazard assessment. Its reliability is lim…
DMAT: An End-to-End Framework for Joint Atmospheric Turbulence Mitigation and Object Detection
Paul Hill, Zhiming Liu, Alin Achim +2
Atmospheric Turbulence (AT) degrades the clarity and accuracy of surveillance imagery, posing challenges not only for visualization quality but also for object classification and s…
Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction
Perla Mayo, Carolin M. Pirkl, Alin Achim +2
We introduce MRF-DiPh, a novel physics informed denoising diffusion approach for multiparametric tissue mapping from highly accelerated, transient-state quantitative MRI acquisitio…
Modality Translation and Registration of MR and Ultrasound Images Using Diffusion Models
Xudong Ma, Nantheera Anantrasirichai, Stefanos Bolomytis +1
Multimodal MR-US registration is critical for prostate cancer diagnosis. However, this task remains challenging due to significant modality discrepancies. Existing methods often fa…
MR2US-Pro: Prostate MR to Ultrasound Image Translation and Registration Based on Diffusion Models
Xudong Ma, Nantheera Anantrasirichai, Stefanos Bolomytis +1
The diagnosis of prostate cancer increasingly depends on multimodal imaging, particularly magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS). However, accurate regi…