Researchers at CMITT are investigating how to use machine learning to predict the sounds of speech from the movements of the tongue. This is important because it could help us to understand how speech is produced and to develop new treatments for speech disorders. Link to arXiv paper: https://arxiv.org/abs/2302.07203 Xiaofeng Liu, Fangxu Xing, Jerry L. […]
Researchers at CMITT are working on ways to update deep learning models for brain tumor segmentation so that they can adapt to changes in data. This is important because medical images are constantly changing, as new scanners and modalities are developed. This work will be presented at MICCAI 2023. Link to arXiv paper: https://arxiv.org/abs/2305.19404 Xiaofeng […]
Researchers at CMITT have been focused on improving the accuracy of PET imaging for detecting tau deposition, a hallmark of Alzheimer’s disease, by addressing the challenges posed by head motion during image acquisition. The researchers developed a motion correction method that effectively compensates for head movement during PET scans. They tested the method on a […]
Researchers at CMITT have recently published an article on improving the resolution of brain positron emission tomography (PET) images using a technique called super-resolution (SR). SR aims to improve image quality by leveraging multiple acquisitions of the same target with known sub-resolution shifts. To achieve this, the researchers developed an SR estimation framework specifically for […]
Researchers from the Precision Neuroscience & Neuromodulation (PNN) program led by Dr. Santarnecchi (TR&D 3) have published a review article highlighting changes to the brain during aging and summarizing modifiable risk factors to support a healthy aging process. Turrini S, Wong B, Eldaief M, Press DZ, Sinclair DA, Koch G, Avenanti A, Santarnecchi E. The multifactorial […]
Publication in Science Translational Medicine: “In vivo and neuropathology data support locus coeruleus integrity as indicator of Alzheimer’s disease pathology and cognitive decline”
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