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Washington University in St. Louis
Computational Medical Imaging and Therapy (CMIT) Lab
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Research
Research
Ultra-low-count imaging for treatment of cancers
Task-specific design of imaging algorithms
Using deep learning to advance quantitative PET
Physics and deep-learning-based CT-less SPECT
Deep-learning-based methods for brain SPECT
No-gold-standard evaluation (NGSE)
List-mode SPECT systems
Other projects
Other projects
Detectors for nuclear-medicine imaging
Diffusion MRI
Diffusion MRI
PI Biography
Computational methods for optical tomography
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Software
Software
A Bayesian approach to tissue-fraction estimation for oncological PET segmentation
A fully automated modular framework for PET segmentation
Simulating SiPM response
Image reconstruction in FMT
Computational methods for diffuse optical imaging
Segmentation and quantification in diffusion MR images
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