no code implementations • 29 Oct 2024 • Chenyu Gao, Michael E. Kim, Karthik Ramadass, Praitayini Kanakaraj, Aravind R. Krishnan, Adam M. Saunders, Nancy R. Newlin, Ho Hin Lee, Qi Yang, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, Lisa L. Barnes, David A. Bennett, Katherine D. Van Schaik, Derek B. Archer, Timothy J. Hohman, Angela L. Jefferson, Ivana Išgum, Daniel Moyer, Yuankai Huo, Kurt G. Schilling, Lianrui Zuo, Shunxing Bao, Nazirah Mohd Khairi, Zhiyuan Li, Christos Davatzikos, Bennett A. Landman
We observe difference between our dMRI-based brain age and T1w MRI-based brain age across stages of neurodegeneration, with dMRI-based brain age being older than T1w MRI-based brain age in participants transitioning from cognitively normal (CN) to mild cognitive impairment (MCI), but younger in participants already diagnosed with Alzheimer's disease (AD).
no code implementations • 7 Oct 2024 • Yamin Li, Ange Lou, Ziyuan Xu, Shengchao Zhang, Shiyu Wang, Dario J. Englot, Soheil Kolouri, Daniel Moyer, Roza G. Bayrak, Catie Chang
Functional magnetic resonance imaging (fMRI) is an indispensable tool in modern neuroscience, providing a non-invasive window into whole-brain dynamics at millimeter-scale spatial resolution.
no code implementations • 6 May 2024 • Chenyu Gao, Shunxing Bao, Michael Kim, Nancy Newlin, Praitayini Kanakaraj, Tianyuan Yao, Gaurav Rudravaram, Yuankai Huo, Daniel Moyer, Kurt Schilling, Walter Kukull, Arthur Toga, Derek Archer, Timothy Hohman, Bennett Landman, Zhiyuan Li
We hypothesize that the imputed image with complete FOV can improve the whole-brain tractography for corrupted data with incomplete FOV.
no code implementations • 24 Apr 2024 • Kuan-I Chung, Daniel Moyer
We introduce an assessment procedure for interactive segmentation models.
1 code implementation • 28 Mar 2024 • Mingxing Rao, Yinhong Qin, Soheil Kolouri, Jie Ying Wu, Daniel Moyer
Purpose: In order to produce a surgical gesture recognition system that can support a wide variety of procedures, either a very large annotated dataset must be acquired, or fitted models must generalize to new labels (so called "zero-shot" capability).
no code implementations • 9 Jan 2024 • Hanliang Xu, Nancy R. Newlin, Michael E. Kim, Chenyu Gao, Praitayini Kanakaraj, Aravind R. Krishnan, Lucas W. Remedios, Nazirah Mohd Khairi, Kimberly Pechman, Derek Archer, Timothy J. Hohman, Angela L. Jefferson, The BIOCARD Study Team, Ivana Isgum, Yuankai Huo, Daniel Moyer, Kurt G. Schilling, Bennett A. Landman
First, we plotted the graph measures and used coefficient of variation (CoV) and the Mann-Whitney U test to evaluate different methods' effectiveness in removing site effects on the matrices and the derived graph measures.
1 code implementation • 21 Dec 2023 • Benjamin Billot, Neel Dey, Daniel Moyer, Malte Hoffmann, Esra Abaci Turk, Borjan Gagoski, Ellen Grant, Polina Golland
Here we propose EquiTrack, the first method that uses recent steerable SE(3)-equivariant CNNs (E-CNN) for motion tracking.
no code implementations • 6 Nov 2023 • Chenyu Gao, Michael E. Kim, Ho Hin Lee, Qi Yang, Nazirah Mohd Khairi, Praitayini Kanakaraj, Nancy R. Newlin, Derek B. Archer, Angela L. Jefferson, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, The BIOCARD Study Team, Yuankai Huo, Katherine D. Van Schaik, Kurt G. Schilling, Daniel Moyer, Ivana Išgum, Bennett A. Landman
We find that the ResNet model captures subtler, non-macrostructural features for brain age prediction.
1 code implementation • 27 Sep 2023 • Yehyun Suh, Peter Chan, J. Ryan Martin, Daniel Moyer
This work reports the empirical performance of an automated medical landmark detection method for predict clinical markers in hip radiograph images.
1 code implementation • 23 Sep 2023 • Preston K. Robinette, Hanchen D. Wang, Nishan Shehadeh, Daniel Moyer, Taylor T. Johnson
To mitigate the shortcomings of steganalysis, this work focuses on a deep learning sanitization technique called SUDS that is not reliant upon knowledge of steganographic hiding techniques and is able to sanitize universal and dependent steganography.
1 code implementation • NeurIPS 2023 • Anwar Said, Roza G. Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon Koutsoukos
We delve deeply into the dataset generation search space by crafting 35 datasets that encompass static and dynamic brain connectivity, running in excess of 15 baseline methods for benchmarking.
1 code implementation • 22 Jun 2022 • Junshen Xu, Daniel Moyer, P. Ellen Grant, Polina Golland, Juan Eugenio Iglesias, Elfar Adalsteinsson
Experiments with real-world MRI data are also performed to demonstrate the ability of the proposed model to improve the quality of 3D reconstruction under severe fetal motion.
no code implementations • 13 Nov 2021 • Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth Berkowitz, Steven Horng, Polina Golland
We define consistent evidence to be both compatible and sufficient with respect to model predictions.
no code implementations • 18 Mar 2021 • Daniel Moyer, Esra Abaci Turk, P Ellen Grant, William M. Wells, Polina Golland
The transformation is then derived in closed form from the outputs of the filters.
1 code implementation • 8 Mar 2021 • Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth Berkowitz, Steven Horng, Polina Golland, William M. Wells
We propose and demonstrate a representation learning approach by maximizing the mutual information between local features of images and text.
no code implementations • 15 Jan 2021 • Daniel Moyer, Polina Golland
We show that for a wide class of harmonization/domain-invariance schemes several undesirable properties are unavoidable.
2 code implementations • 8 Dec 2020 • Razvan V Marinescu, Daniel Moyer, Polina Golland
Our method, Bayesian Reconstruction through Generative Models (BRGM), uses a single pre-trained generator model to solve different image restoration tasks, i. e., super-resolution and in-painting, by combining it with different forward corruption models.
Ranked #1 on Image Denoising on FFHQ 64x64 - 4x upscaling
1 code implementation • 5 Oct 2020 • Ruizhi Liao, Daniel Moyer, Polina Golland, William M. Wells
Estimating mutual information between continuous random variables is often intractable and extremely challenging for high-dimensional data.
no code implementations • MIDL 2019 • Daniel Moyer, Greg Ver Steeg, Paul M. Thompson
Pooled imaging data from multiple sources is subject to bias from each source.
no code implementations • 2 Dec 2019 • Ayush Jaiswal, Rob Brekelmans, Daniel Moyer, Greg Ver Steeg, Wael Abd-Almageed, Premkumar Natarajan
Supervised machine learning models often associate irrelevant nuisance factors with the prediction target, which hurts generalization.
no code implementations • 11 Nov 2019 • Ayush Jaiswal, Daniel Moyer, Greg Ver Steeg, Wael Abd-Almageed, Premkumar Natarajan
We propose a novel approach to achieving invariance for deep neural networks in the form of inducing amnesia to unwanted factors of data through a new adversarial forgetting mechanism.
2 code implementations • 30 May 2019 • Hrayr Harutyunyan, Daniel Moyer, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
Estimating the covariance structure of multivariate time series is a fundamental problem with a wide-range of real-world applications -- from financial modeling to fMRI analysis.
1 code implementation • NeurIPS 2019 • Rob Brekelmans, Daniel Moyer, Aram Galstyan, Greg Ver Steeg
The noise is constructed in a data-driven fashion that does not require restrictive distributional assumptions.
no code implementations • 10 Apr 2019 • Daniel Moyer, Greg Ver Steeg, Chantal M. W. Tax, Paul M. Thompson
Purpose: In the present work we describe the correction of diffusion-weighted MRI for site and scanner biases using a novel method based on invariant representation.
no code implementations • 10 Aug 2018 • Anvar Kurmukov, Ayagoz Mussabayeva, Yulia Denisova, Daniel Moyer, Boris Gutman
We present two related methods for deriving connectivity-based brain atlases from individual connectomes.
no code implementations • 12 Jun 2018 • Daniel Moyer, Paul M. Thompson, Greg Ver Steeg
In the present work, we use information theory to understand the empirical convergence rate of tractography, a widely-used approach to reconstruct anatomical fiber pathways in the living brain.
1 code implementation • NeurIPS 2018 • Daniel Moyer, Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan
Representations of data that are invariant to changes in specified factors are useful for a wide range of problems: removing potential biases in prediction problems, controlling the effects of covariates, and disentangling meaningful factors of variation.
1 code implementation • 19 Jun 2017 • Dmitry Petrov, Alexander Ivanov, Joshua Faskowitz, Boris Gutman, Daniel Moyer, Julio Villalon, Neda Jahanshad, Paul Thompson
There is no consensus on how to construct structural brain networks from diffusion MRI.
3 code implementations • NeurIPS 2019 • Greg Ver Steeg, Hrayr Harutyunyan, Daniel Moyer, Aram Galstyan
We also use our approach for estimating covariance structure for a number of real-world datasets and show that it consistently outperforms state-of-the-art estimators at a fraction of the computational cost.
1 code implementation • 2 Mar 2017 • Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson
One of the primary objectives of human brain mapping is the division of the cortical surface into functionally distinct regions, i. e. parcellation.
no code implementations • 18 Nov 2016 • Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson
In the present work we demonstrate the use of a parcellation free connectivity model based on Poisson point processes.