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Quantum Machine Learning Neuroimaging
Next Discussion: “Quantum Machine Learning Neuroimaging” Thursday 10/6 6:00pm PDT Episode 51.
When and where
Date and time
Location
Online
About this event
Literature Review 1
Monsour, R., et al. (2022) Neuroimaging in the Era of Artificial Intelligence: Current Applications. Federal Practitioner: https://lnkd.in/gBYS6wuj
► "Because MRIs consume time and resources, compressed sensing (CS) is commonly used." "CS, however, limits interpretation to single directions and can create aliasing artifacts."
Literature Review 2Boyle, A.J., et al. (2022) Artificial intelligence for molecular neuroimaging. Annals of Translational Medicine: https://lnkd.in/gjnh6-UP
► "Identifying patients with [Alzheimer's Disease] AD and mild cognitive impairment (MCI) with cerebral amyloid deposition may be helpful and has been studied using ML algorithms. This process is currently performed by a designated imaging analyst and is subject to human interpretation."Zoom Link: https://lnkd.in/grqW2XBX (Live/Virtual)
Alzheimer's Disease background is available online: https://lnkd.in/g8AmZcSZQuantum Neuroimaging outline: https://lnkd.in/gtmJYRXzChemicalQDevice the Startup Pitch: https://lnkd.in/gu97SYG6
#alzheimers, #imaging, #neuroimaging, #neuroradiology, #neuroscience, #medicalimaging, #pet, #mri, #ct, #quantumimaging, #quantumsensor, #quantumsensing, #quantum, #quantumcomputing, #quantumalgorithms, #quantumnetworking, #algorithms, #ml, #ai, #qml, #dl, #qmln, #startups