ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner +7 more
wiley +1 more source
Cost-effectiveness analysis of radiotherapy versus surgery for esophageal squamous cell carcinoma in China: a Markov model study based on real-world data. [PDF]
Xu LA +5 more
europepmc +1 more source
Denoising of ASL Data Using Deep Learning Priors Generated From Distribution Remapping
ABSTRACT Purpose To develop an effective deep learning (DL)–based method to denoise arterial spin labeling (ASL) data. Methods Conventional DL–based ASL denoising methods often suffer from overfitting and poor generalization when training data are limited.
Ziyang Xu +9 more
wiley +1 more source
Dynamic reconfiguration and transition of whole-brain networks in patients with MELAS revealed by a hidden Markov model. [PDF]
Yu Q +8 more
europepmc +1 more source
Helixer: ab initio prediction of primary eukaryotic gene models combining deep learning and a hidden Markov model. [PDF]
Holst F +13 more
europepmc +1 more source
Historical Use of Markov Model and Posterior Predictive Checks in Pharmacometrics. [PDF]
Girard P, Kastrissios H.
europepmc +1 more source
Cost-effectiveness of implantable cardioverter-defibrillators for primary prevention in heart failure with reduced ejection fraction: a Markov model using JROAD-DPC cost data in Japan. [PDF]
Ohashi K +9 more
europepmc +1 more source
Hidden Markov model for acoustic pesticide exposure detection and hive identification in stingless bees. [PDF]
Otesbelgue A +5 more
europepmc +1 more source
openaire +1 more source

