Copertina

Distributional Consistency Loss: Beyond Pointwise Data Terms in Inverse Problems

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Webber, George, Reader, Andrew J.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Computer Vision and Pattern Recognition Medical Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Steerable Conditional Diffusion for Domain Adaptation in PET Image Reconstruction
di: Webber, George, et al.
Pubblicazione: (2025)

Generative-Model-Based Fully 3D PET Image Reconstruction by Conditional Diffusion Sampling
di: Webber, George, et al.
Pubblicazione: (2024)

Likelihood-Scheduled Score-Based Generative Modeling for Fully 3D PET Image Reconstruction
di: Webber, George, et al.
Pubblicazione: (2024)

Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction
di: Webber, George, et al.
Pubblicazione: (2025)

Supervised Diffusion-Model-Based PET Image Reconstruction
di: Webber, George, et al.
Pubblicazione: (2025)

Multi-Subject Image Synthesis as a Generative Prior for Single-Subject PET Image Reconstruction
di: Webber, George, et al.
Pubblicazione: (2024)

PnP-CM: Consistency Models as Plug-and-Play Priors for Inverse Problems
di: Gülle, Merve, et al.
Pubblicazione: (2025)

Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited Data
di: Shen, Guoyao, et al.
Pubblicazione: (2023)

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women
di: Nascimento, Gabriel A. B. do, et al.
Pubblicazione: (2025)

Autonomous labeling of surgical resection margins using a foundation model
di: Yang, Xilin, et al.
Pubblicazione: (2025)

Automated Tuning for Diffusion Inverse Problem Solvers without Generative Prior Retraining
di: Alçalar, Yaşar Utku, et al.
Pubblicazione: (2025)

Label-free evaluation of lung and heart transplant biopsies using tissue autofluorescence-based virtual staining
di: Li, Yuzhu, et al.
Pubblicazione: (2024)

Deep learning-enabled virtual multiplexed immunostaining of label-free tissue for vascular invasion assessment
di: Zhang, Yijie, et al.
Pubblicazione: (2025)

Universal and Transferable Attacks on Pathology Foundation Models
di: Wang, Yuntian, et al.
Pubblicazione: (2025)

FACT: Foundation Model for Assessing Cancer Tissue Margins with Mass Spectrometry
di: Farahmand, Mohammad, et al.
Pubblicazione: (2025)

AI-Powered Automated Model Construction for Patient-Specific CFD Simulations of Aortic Flows
di: Du, Pan, et al.
Pubblicazione: (2025)

A Deep Risk Estimator for Known Operator Learning
di: Maier, Andreas, et al.
Pubblicazione: (2026)

Multi-Task Learning for Integrated Automated Contouring and Voxel-Based Dose Prediction in Radiotherapy
di: Kim, Sangwook, et al.
Pubblicazione: (2024)

Direct PET Image Reconstruction Incorporating Deep Image Prior and a Forward Projection Model
di: Hashimoto, Fumio, et al.
Pubblicazione: (2021)

sFRC for assessing hallucinations in medical image restoration
di: Kc, Prabhat, et al.
Pubblicazione: (2026)

High-Fidelity 3D Lung CT Synthesis in ARDS Swine Models Using Score-Based 3D Residual Diffusion Models
di: Yoon, Siyeop, et al.
Pubblicazione: (2024)

Automated HER2 scoring with uncertainty quantification using lensfree holography and deep learning
di: Shen, Che-Yung, et al.
Pubblicazione: (2026)

ReconU-Net: a direct PET image reconstruction using U-Net architecture with back projection-induced skip connection
di: Hashimoto, Fumio, et al.
Pubblicazione: (2023)

Quantitative mapping from conventional MRI using self-supervised physics-guided deep learning: applications to a large-scale, clinically heterogeneous dataset
di: van Lune, Jelmer, et al.
Pubblicazione: (2026)

MRI2Qmap: multi-parametric quantitative mapping with MRI-driven denoising priors
di: Golbabaee, Mohammad, et al.
Pubblicazione: (2026)

Iterative CT Reconstruction via Latent Variable Optimization of Shallow Diffusion Models
di: Ozaki, Sho, et al.
Pubblicazione: (2024)

List-Mode PET Image Reconstruction Using Deep Image Prior
di: Ote, Kibo, et al.
Pubblicazione: (2022)

Self-Supervised Pre-Training for Deep Image Prior-Based Robust PET Image Denoising
di: Onishi, Yuya, et al.
Pubblicazione: (2023)

CLADE: Cycle Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic Medical Images
di: Pascale, Michele, et al.
Pubblicazione: (2023)

Consistency Regularised Gradient Flows for Inverse Problems
di: Spagnoletti, Alessio, et al.
Pubblicazione: (2026)

Distribution-informed and wavelength-flexible data-driven photoacoustic oximetry
di: Gröhl, Janek, et al.
Pubblicazione: (2024)

Pixel Super-Resolved Fluorescence Lifetime Imaging Using Deep Learning
di: Costa, Paloma Casteleiro, et al.
Pubblicazione: (2025)

ComBAT Harmonization for diffusion MRI: Challenges and Best Practices
di: Jodoin, Pierre-Marc, et al.
Pubblicazione: (2025)

Fast and Robust Diffusion Posterior Sampling for MR Image Reconstruction Using the Preconditioned Unadjusted Langevin Algorithm
di: Blumenthal, Moritz, et al.
Pubblicazione: (2025)

Virtual Staining of Label-Free Tissue in Imaging Mass Spectrometry
di: Zhang, Yijie, et al.
Pubblicazione: (2024)

Deep Learning-based Detection of Bacterial Swarm Motion Using a Single Image
di: Li, Yuzhu, et al.
Pubblicazione: (2024)

Improving Decoupled Posterior Sampling for Inverse Problems using Data Consistency Constraint
di: Qi, Zhi, et al.
Pubblicazione: (2024)

XProspeCT: CT Volume Generation from Paired X-Rays
di: Paulson, Benjamin, et al.
Pubblicazione: (2024)

Sparsity-Driven Parallel Imaging Consistency for Improved Self-Supervised MRI Reconstruction
di: Alçalar, Yaşar Utku, et al.
Pubblicazione: (2025)

Improved Robustness for Deep Learning-based Segmentation of Multi-Center Myocardial Perfusion MRI Datasets Using Data Adaptive Uncertainty-guided Space-time Analysis
di: Yalcinkaya, Dilek M., et al.
Pubblicazione: (2024)