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. […]
Category Archives: Publication
Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI
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 […]
Breaking Through the Blur: Improving PET Imaging of Tau Deposition in Dementia using Motion Correction
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 […]
Sharper Insights into the Brain: Advancing PET Resolution through Real-Time Super-Resolution Reconstruction
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 […]
It is never too early to start taking care of your brain
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 […]
In vivo and neuropathology data support locus coeruleus integrity as indicator of Alzheimer’s disease pathology and cognitive decline
Publication in Science Translational Medicine: “In vivo and neuropathology data support locus coeruleus integrity as indicator of Alzheimer’s disease pathology and cognitive decline”
In-vivo Imaging of Mitochondrial Depolarization of Myocardium With Positron Emission Tomography and a Proton Gradient Uncoupler
Alpert NM, Pelletier-Galarneau M, Kim SJW, Petibon Y, Sun T, Ramos-Torres KM, Normandin MD, El Fakhri G. Front Physiol. 2020 May 15;11:491.
MR-based cardiac and respiratory motion correction of PET: application to static and dynamic cardiac 18F-FDG imaging
Petibon Y, Sun T, Han PK, Ma C, El Fakhri G, Ouyang J Phys Med Biol 2019; 64(19):195009
Quantitative in vivo mapping of myocardial mitochondrial membrane potential
Alpert NM, Guehl N, Ptaszek L, Pelletier-Galarneau M, Ruskin J, Mansour MC, Wooten D, Ma C, Takahashi K, Zhou Y, Shoup TM, Normandin MD, El Fakhri G. PLoS One. 2018 Jan 16;13(1):e0190968.
Neurogenetic contributions to amyloid beta and tau spreading in the human cortex
Sepulcre J, Grothe MJ, d’Oleire Uquillas F, Ortiz-Terán L, Diez I, Yang HS, Jacobs HIL, Hanseeuw BJ, Li Q, El-Fakhri G, Sperling RA, Johnson KA Nat. Med. 2018; 24(12):1910-1918