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Accurate MRI-free PET Quantification and Reliability Assessment via CT-to-MRI Synthesis and Conformal Prediction

Paper recorded by Signals 4 on 2026-10-29 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-29 on arXiv · recorded by Signals 4 on 2026-10-30

Category: cs.CV · 计算机视觉 · first seen 2026-10-30

Abstract

Standardized uptake value ratio (SUVR) quantification of amyloid PET commonly relies on a subject-specific T1-weighted MRI, yet a usable MRI is not always available. We therefore combined CT-to-MRI synthesis with conformal prediction for MRI-free PET quantification with reliability assessment. A slice-consistent Brownian Bridge Diffusion Model was strengthened with multi-dataset training and data-

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#63 most recent of 710 cs.CV papers we have recorded · ↑ newer: AVPS-360: A Spatial Audio-Visual Benchmark for Instance Segmentation a · ↓ older: Segment Anything Model Based Context Guided Mamba Unet for Medical Ima
Cite this page: Accurate MRI-free PET Quantification and Reliability Assessment via CT-to-MRI Synthesis and Conformal Prediction: the #63 most recent of 710 cs.CV papers we have recorded (as of 2026-10-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/accurate-mri-free-pet-quantification-and-reliability-assessment-via-ct-to-mri-sy.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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