Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2963-2979, May 2026.ABSTRACT Purpose To develop a self‐supervised scan‐specific deep learning framework for reconstructing accelerated multiparametric quantitative MRI (qMRI). Methods We propose REFINE‐MORE (REference‐Free Implicit NEural representation with MOdel REinforcement), combining an implicit neural representation (INR) architecture with a model reinforcement ...
Ruimin Feng +3 more
wiley +1 more source
High‐Resolution Diffusion‐Weighted Imaging With Self‐Gated Self‐Supervised Unrolled Reconstruction
Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2852-2862, May 2026.ABSTRACT Purpose High‐resolution diffusion‐weighted imaging (DWI) is clinically demanding. The purpose of this work is to develop an efficient self‐supervised algorithm unrolling technique for submillimeter‐resolution DWI. Methods We developed submillimeter DWI acquisition utilizing multi‐band multi‐shot EPI with diffusion shift encoding.
Zhengguo Tan +4 more
wiley +1 more source
T2$$ {\boldsymbol{T}}_{\mathbf{2}} $$‐Weighted Imaging of Water, Fat and Silicone
Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2765-2775, May 2026.ABSTRACT Purpose Magnetic resonance imaging (MRI) is a sensitive method for assessing silicone implant integrity, with T2$$ {T}_2 $$‐weighted imaging being essential for detecting abnormalities in surrounding tissue. Silicone breast imaging protocols often require multiple tailored sequences for species suppression and diagnostic contrast. We propose a
Aizada Nurdinova +6 more
wiley +1 more source
Performance of a GPU- and time-efficient pseudo-3D network for magnetic resonance image super-resolution and motion artifact reduction. [PDF]
Sci RepLi H +10 more
europepmc +1 more source
A Method for Industrial Smoke Video Semantic Segmentation Using DeffNet with Inter-Frame Adaptive Variable Step Size Based on Fuzzy Control. [PDF]
Sensors (Basel)Yang J, Liu H.
europepmc +1 more source
Human Brain Mapping, Volume 47, Issue 5, 1 April 2026.We propose DEMIC, a deep‐learning microstructure codebook framework for dMRI microstructure imaging: (1) accurate multi‐parameter estimation from undersampled data; (2) robust cross‐protocol and cross‐model generalization; and (3) flexible transfer to new microstructural indices via fine‐tuning.
Tenglong Wang +7 more
wiley +1 more source
From Controlled Scenarios to the Real World: Cross-Domain Degradation Pattern Matching for All-in-One Image Restoration. [PDF]
Research (Wash D C)Fan J +7 more
europepmc +1 more source
Data Stitching for Dynamic Field Monitoring With NMR Probes
Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 1944-1958, April 2026.ABSTRACT Purpose To propose a new method for characterizing sequences with higher resolution or readout length than allowed by standard field monitoring approaches. Methods Our proposed method was devised to characterize entire readout gradients by stitching multiple segment‐specific dynamic field measurements obtained across a matched number of ...
Jinyuan Zhang +11 more
wiley +1 more source
Assessing image quality in photoacoustic imaging: A metric-based and deep learning-based evaluation. [PDF]
PhotoacousticsVan Der Brugge M, Francis KJ, Awasthi N.
europepmc +1 more source
Read My Leads: Subject‐Specific RF Hazard Assessment and Mitigation for DBS Implants in MRI
Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2316-2330, April 2026.ABSTRACT Purpose To develop and validate a framework for personalized, implant‐specific MRI safety assessments using feedback from commercial deep brain stimulation (DBS) systems. To further use this framework to suppress RF‐induced heating with minimum compromise in imaging performance.
Berk Silemek +8 more
wiley +1 more source