Nicoleta

Automated Bi‐Ventricular Segmentation and Regional Cardiac Wall Motion Analysis for Rat Models of Pulmonary Hypertension Artificial intelligence-based cardiac motion mapping offers predictive insights into pulmonary hypertension (PH) disease progression and its impact on the heart. We proposed an automated deep learnin...

New paper published! Automated deep learning pipeline for bi-ventricular segmentation and 3D wall motion analysis of pulmonary hypertension experimental models using MRI
onlinelibrary.wiley.com/doi/full/10....
Wonderful experience co-supervising this study!
#CMR #BHF #PulmonaryHypertension

Deep phenotyping the right ventricle to establish translational MRI biomarkers for characterization of adaptive and maladaptive states in pulmonary hypertension - Scientific Reports Scientific Reports - Deep phenotyping the right ventricle to establish translational MRI biomarkers for characterization of adaptive and maladaptive states in pulmonary hypertension

Our paper now published in SciRep!
"Deep phenotyping the right ventricle to establish translational MRI biomarkers for characterization of adaptive and maladaptive states in pulmonary hypertension"
www.nature.com/articles/s41...
#CMR
#BHF
#PulmonaryHypertension

Excited to share our latest publication "Radiomic Profiling of Orthotopic Mouse Models of Glioblastoma Reveals Histopathological Correlations Associated with Tumour Response to Ionising Radiation" www.mdpi.com/2072-6694/17...

Thank you @braintumourrsch.bsky.social & @imperialcollegeldn.bsky.social