Impact: Reliable and reproducible strain analysis is essential for deriving measurements with strong prognostic relevance. Our automated algorithm for atrial volumetric and strain evaluation can potentially reduce inter-observer variations and enable the quantification of large subject cohort.

Impact: This work demonstrates the feasibility of fully contactless cardiac triggering for strain-encoded Cardiac MRI (SENC) using in-bore camera–derived rPPG signals, eliminating ECG electrodes and enabling faster, simpler, and more comfortable cardiac imaging suitable for high-throughput clinical environments.

Impact: The impact of this work lies in integrating reconstruction, segmentation, and deformation estimation into a single 12-second, 0.55 T acquisition, enabling automatic, consistent, and physiologically coherent strain maps while significantly reducing both scanning and post-processing time.

Impact: This study demonstrates the feasibility of high temporal resolution FSENC-MRI. Further optimization is possible accounting for field inhomogeneity.

Impact: The investigation of underlying biological drivers (microvascular and microstructural brain properties) in cardiac-induced brain strain contributes to a deeper understanding of these metrics, helping to enhance their utility in clinical research in the field of microvascular and neurodegenerative conditions.

Impact: This study reveals that asymptomatic primary Sjögren's syndrome patients exhibit silent myocardial impairment, detectable via cardiac magnetic resonance. Elevated disease activity is associated with impaired left ventricular function and myocardial tissue changes.

Impact: This study provides novel metabolic biomarkers and mechanistic insights into infection and calcification associated valve damage in HVD. These findings may support early diagnosis, risk stratification, and the development of targeted metabolic biomarker for heart valve disease treatment.

Impact: This study demonstrates that CMR parametric mapping, particularly ECV quantification, provides significant value in differentiating benign cardiac tumors. The treatment of benign cardiac tumors varies by pathologic type and ECV can provide diagnostic assistance when conventional MRI diagnosis is unclear.

Impact: Our findings on the effect of metabolic syndrome on left heart dysfunction and its differential expression across gender subgroups provide a basis for clinical management and early intervention.

Impact: Prolonged treatment with over-the counter mast cell stabilizer loratadine is a powerful pharmacostrategy to attenuate iron deposition in infarcted myocardium and potentially prevent major adverse cardiac events.

Impact: A physics‑inspired, anatomy‑aware cine CMR simulator generates structural (SSFP‑like) and functional (tagging‑style) data with pixel-wise labeled displacement and strain, enabling reproducible, fair benchmarking and robust DL algorithm development across broad, tunable myocardial deformation regimes—including abnormal and dyssynergic motion patterns.