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Self-supervised pretraining and network ensembling for spatial mapping of treatment-effect in recurrent GBM with physiologic MRI

Evaluation of Deep Learning Models for Processing Lactate-Edited MR Spectroscopic Imaging in Patients with Glioma

Author:Sana Vaziri  Adam Autry  Marisa Lafontaine  Janine Lupo  Susan Chang  Yan Li  

Session Type:Power Pitch  

Session Date:Tuesday, 06 June 2023  

Session Name:Pitch: Data Analysis & Processing  

Program Number:0475  

Room Session:Power Pitch Theatre 2  

Institution :University of California, San Francisco  

Evaluation of Deep Learning Models for Processing Lactate-Edited MR Spectroscopic Imaging in Patients with Glioma

Defining radiation target volumes for glioblastoma from predictions of tumor recurrence with AI and diffusion metabolic MRI

Development for hyperpolarized [1-13C]alpha-ketoglutarate MRI for metabolic imaging of normal volunteers and mutant IDH glioma patients

Development for hyperpolarized [1-13C]alpha-ketoglutarate MRI for metabolic imaging of normal volunteers and mutant IDH glioma patients

Indirect detection of deuterated glucose brain metabolism at 3 Tesla: preliminary findings in volunteers and patients with gliomas

Assessing the effects of hyperpolarized [2-13C]lactate saturation on detectable brain metabolism