1 citations · 1 across the 3 of their papers we have counts for
7 papers
MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI
Nancy R. Newlin, Kurt Schilling, Serge Koudoro +33
White matter alterations are increasingly implicated in neurological diseases and their progression. International-scale studies use diffusion-weighted magnetic resonance imaging (…
Synthesizing study-specific controls using generative models on open access datasets for harmonized multi-study analyses
Shruti P. Gadewar, Alyssa H. Zhu, Iyad Ba Gari +5
Neuroimaging consortia can enhance reliability and generalizability of findings by pooling data across studies to achieve larger sample sizes. To adjust for site and MRI protocol e…
Tackling the dimensions in imaging genetics with CLUB-PLS
Andre Altmann, Ana C Lawry Aguila, Neda Jahanshad +2
A major challenge in imaging genetics and similar fields is to link high-dimensional data in one domain, e.g., genetic data, to high dimensional data in a second domain, e.g., brai…
Linking Symptom Inventories using Semantic Textual Similarity
Eamonn Kennedy, Shashank Vadlamani, Hannah M Lindsey +79
An extensive library of symptom inventories has been developed over time to measure clinical symptoms, but this variety has led to several long standing issues. Most notably, resul…
A Comprehensive Corpus Callosum Segmentation Tool for Detecting Callosal Abnormalities and Genetic Associations from Multi Contrast MRIs
Shruti P. Gadewar, Elnaz Nourollahimoghadam, Ravi R. Bhatt +7
Structural alterations of the midsagittal corpus callosum (midCC) have been associated with a wide range of brain disorders. The midCC is visible on most MRI contrasts and in many…
An Empirical Study of Continuous Connectivity Degree Sequence Equivalents
Daniel Moyer, Boris A. Gutman, Joshua Faskowitz +2
In the present work we demonstrate the use of a parcellation free connectivity model based on Poisson point processes. This model produces for each subject a continuous bivariate i…