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Immersion Session- AI in Molecular Imaging and Therapy Discovery
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Immersion Session
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Course Content
AI for Molecular Imaging: Building Trustworthy Models, Image Analysis Tools and Nano-Radiomics
On-demand Video
01:15:41
Seeing the Invisible: Nano-Radiomics for Early Detection and Disease Characterization
Mapping the Utility of Open-Source and Commercial AI Tools in Bioimaging
Data-Efficient and Generalizable AI for Molecular Imaging
AI in Molecular Imaging and Therapy Discovery Immersion Scientific Session
On-demand Video
01:03:38
Acceleration of cardiac and liver CEST-MRI using a physics-aware vision transformer
Deep Learning-enabled Ultra-low Light Imaging of Cerebral Hemodynamics
Physics-Constrained AI Framework for Robust and Distortion-Tolerant EPR Oxygen Mapping
Detection of radiation-resistant phenotype in head and neck squamous cell carcinoma using CT nano-radiomics
Radiomics for HER2 IHC classification and T-DXd treatment response prediction in preclinical HER2-targeted PET imaging
nnUNet achieves robust automated tumor segmentation in preclinical 19F MRI without spatial priors: a multicohort cross-validation study in subcutaneous mouse tumor models
Physics-informed Neural Network Digital Twin for Intracranial Aneurysm Wall Biology Using Molecular MRI and Dynamic Contrast-enhanced Imaging
Assessment of Ferumoxytol MRI Nano-Radiomic Feature Reproducibility and Sensitivity to Image Acquisition Parameters
Industry Sponsored Lunch
On-demand Video
00:00
Imalytics Presentation
Vision Language Foundation Models: Tools for Clinical Impact and New Scientific Discovery
On-demand Video
26:38
Vision Language Foundation Models: Tools for Clinical Impact and New Scientific Discovery
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