Machine learning for the diagnosis of fibromyalgia based on magnetic resonance imaging. [PDF]
Zeng Z +8 more
europepmc +1 more source
Marchiafava-Bignami disease (MBD) and diffusion tensor image (DTI) tractography
Priscilla Chukwueke
openalex +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
Diffusion Tensor Imaging Biomarkers to Predict Neurological Outcomes in Brain Surgery: A Systematic Review. [PDF]
Ben Dor N +8 more
europepmc +1 more source
(a) Clinical+DTI vs. DTI+ALPS comparison; (b) Replace Adaboost with other ML methods for comparison.
Jinyu Wen (10785855) +5 more
openalex +1 more source
Evaluating the robustness of DTI-ALPS in clinical context: a meta-analytic parallel on Alzheimer’s and Parkinson’s diseases [PDF]
Tommaso Costa +8 more
openalex +1 more source
ABSTRACT Purpose In multi‐shot EPI, shot‐dependent phase fluctuations can introduce ghost artifacts, undermining advantages for enhancing resolution or reducing distortion, particularly in diffusion scans. Here, a novel self‐navigation strategy based on shift‐invariant kernel extraction is proposed, enabling robust estimation of phase inconsistencies ...
Rui Tian +3 more
wiley +1 more source
TriDTI: tri-modal representation learning with cross-modal alignment for drug-target interaction prediction. [PDF]
Yun GH, Park JH, Cho YR.
europepmc +1 more source
Medio-dorsal thalamus and confabulations: Evidence from a clinical case and combined MRI/DTI study
Valeria Onofrj +7 more
openalex +1 more source
openaire +1 more source

