A 4D diffusion generative model learns topology-preserving spatiotemporal deformations to synthesize realistic longitudinal brain anatomy trajectories in neurodegenerative diseases from sparse follow-up scans.
1038/s41598-021-87564-6
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Deep learning on pairwise comparisons detects temporal changes in 0.35T MR-Linac images during prostate radiotherapy with AUC 0.99 for first-to-last fraction pairs.
Post-hoc normalizing flows for OOD detection in medical imaging achieve 84.61% AUROC on MedOOD and 93.8% on MedMNIST, outperforming ViM, MDS, and ReAct.
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Generative Modeling of Neurodegenerative Brain Anatomy with 4D Longitudinal Diffusion Model
A 4D diffusion generative model learns topology-preserving spatiotemporal deformations to synthesize realistic longitudinal brain anatomy trajectories in neurodegenerative diseases from sparse follow-up scans.
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AI-Based Detection of Temporal Changes in MR-Linac Images Acquired During Routine Prostate Radiotherapy
Deep learning on pairwise comparisons detects temporal changes in 0.35T MR-Linac images during prostate radiotherapy with AUC 0.99 for first-to-last fraction pairs.
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Safeguarding AI in Medical Imaging: Post-Hoc Out-of-Distribution Detection with Normalizing Flows
Post-hoc normalizing flows for OOD detection in medical imaging achieve 84.61% AUROC on MedOOD and 93.8% on MedMNIST, outperforming ViM, MDS, and ReAct.