Immersion Session- AI in Molecular Imaging and Therapy Discovery
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AI for Molecular Imaging: Building Trustworthy Models, Image Analysis Tools and Nano-Radiomics
AI in Molecular Imaging and Therapy Discovery Immersion Scientific Session
On-demand Video
Video - 1:03:38 mins
Acceleration of cardiac and liver CEST-MRI using a physics-aware vision transformer
Reading
Deep Learning-enabled Ultra-low Light Imaging of Cerebral Hemodynamics
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Physics-Constrained AI Framework for Robust and Distortion-Tolerant EPR Oxygen Mapping
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Detection of radiation-resistant phenotype in head and neck squamous cell carcinoma using CT nano-radiomics
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Radiomics for HER2 IHC classification and T-DXd treatment response prediction in preclinical HER2-targeted PET imaging
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nnUNet achieves robust automated tumor segmentation in preclinical 19F MRI without spatial priors: a multicohort cross-validation study in subcutaneous mouse tumor models
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Physics-informed Neural Network Digital Twin for Intracranial Aneurysm Wall Biology Using Molecular MRI and Dynamic Contrast-enhanced Imaging
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Assessment of Ferumoxytol MRI Nano-Radiomic Feature Reproducibility and Sensitivity to Image Acquisition Parameters
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Industry Sponsored Lunch
Vision Language Foundation Models: Tools for Clinical Impact and New Scientific Discovery
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