5 citations · 5 across the 4 of their papers we have counts for
4 papers
MRecover: A Conditional Generative Model for Recovering Motion-Corrupted MR images Using AI Generated Contrast
Jinghang Li, Tales Santini, Courtney Clark +13
Hippocampal subfield segmentation requires high-resolution T2w turbo spin echo (TSE) MRI, yet this sequence is susceptible to motion artifacts, leading to substantial data loss. We…
Leveraging The Finite States of Emotion Processing to Study Late-Life Mental Health
Yuanzhe Huang, Saurab Faruque, Minjie Wu +8
Traditional approaches in mental health research apply General Linear Models (GLM) to describe the longitudinal dynamics of observed psycho-behavioral measurements (questionnaire s…
wmh_seg: Transformer based U-Net for Robust and Automatic White Matter Hyperintensity Segmentation across 1.5T, 3T and 7T
Jinghang Li, Tales Santini, Yuanzhe Huang +4
White matter hyperintensity (WMH) remains the top imaging biomarker for neurodegenerative diseases. Robust and accurate segmentation of WMH holds paramount significance for neuroim…
Incorporating Prior Information with Fused Sparse Group Lasso: Application to Prediction of Clinical Measures from Neuroimages
Joanne C. Beer, Howard J. Aizenstein, Stewart J. Anderson +1
Predicting clinical variables from whole-brain neuroimages is a high dimensional problem that requires some type of feature selection or extraction. Penalized regression is a popul…