His‐MMDM: Multi‐Domain and Multi‐Omics Translation of Histopathological Images with Diffusion Models
His‐MMDM is a diffusion model‐based framework for scalable multi‐domain and multi‐omics translation of histopathological images, enabling tasks from virtual staining, cross‐tumor knowledge transfer, and omics‐guided image editing. ABSTRACT Generative AI (GenAI) has advanced computational pathology through various image translation models.
Zhongxiao Li +13 more
wiley +1 more source
An interpretable cascaded residual iterative network for sparse-view spectral CT imaging. [PDF]
Zhang X +7 more
europepmc +1 more source
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
CycleGAN models show consistent brain MRI synthesis across datasets supporting downstream tissue characterization in multiple sclerosis. [PDF]
Shahrokhi S +3 more
europepmc +1 more source
Data Stitching for Dynamic Field Monitoring With NMR Probes
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
A Method for Industrial Smoke Video Semantic Segmentation Using DeffNet with Inter-Frame Adaptive Variable Step Size Based on Fuzzy Control. [PDF]
Yang J, Liu H.
europepmc +1 more source
Read My Leads: Subject‐Specific RF Hazard Assessment and Mitigation for DBS Implants in MRI
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
Optimizing Radiographic Diagnosis Through Signal-Balanced Convolutional Models. [PDF]
Neemuchwala SJ +5 more
europepmc +1 more source
The Effect of Voxel Volume and Voxel Shape on Cardiac Diffusion Tensor Imaging Metrics
ABSTRACT Purpose Cardiac diffusion tensor imaging (cDTI) is signal‐to‐noise ratio (SNR)‐limited due to diffusion signal attenuation, long echo times from gradient moment nulling, and moderate myocardial T 2$$ {}_2 $$. Increasing voxel volume improves SNR but reduces spatial sensitivity and introduces physiological bias.
Ariel J. Hannum +3 more
wiley +1 more source

