Daniel Moyer

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 52

Top Topics

Mutual Information

Invariant Representation

Ensemble Clustering

Top Venues

Publications

Praitayini Kanakaraj, Tianyuan Yao, Leon Y. Cai, Ho Hin Lee, Nancy R. Newlin, Michael E. Kim, Chenyu Gao, Kimberly R. Pechman, Derek B. Archer, Timothy J. Hohman, Angela L. Jefferson, Lori L. Beason-Held, Susan M. Resnick, Eleftherios Garyfallidis, Adam W. Anderson, Kurt G. Schilling, Bennett A. Landman, Daniel Moyer
DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images. Neuroinformatics 22 (2) (2024)
Chenyu Gao, Shunxing Bao, Michael E. Kim, Nancy Newlin, Praitayini Kanakaraj, Tianyuan Yao, Gaurav Rudravaram, Yuankai Huo, Daniel Moyer, Kurt Schilling, Walter Kukull, Arthur W. Toga, Derek B. Archer, Timothy J. Hohman, Bennett A. Landman, Zhiyuan Li
Field-of-View Extension for Diffusion MRI via Deep Generative Models. CoRR (2024)
Kuan-I Chung, Daniel Moyer
Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain. CoRR (2024)
Mingxing Rao, Yinhong Qin, Soheil Kolouri, Jie Ying Wu, Daniel Moyer
Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition. CoRR (2024)
Leon Yichen Cai, Ho Hin Lee, Nancy Rose Newlin, Cailey Irene Kerley, Praitayini Kanakaraj, Qi Yang, Graham Walter Johnson, Daniel Moyer, Kurt Gregory Schilling, Francois Rheault, Bennett A. Landman
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context. MIDL (2023)
Preston K. Robinette, Hanchen D. Wang, Nishan Shehadeh, Daniel Moyer, Taylor T. Johnson
SUDS: Sanitizing Universal and Dependent Steganography. ECAI (2023)
Yehyun Suh, Peter Chan, J. Ryan Martin, Daniel Moyer
Label Augmentation Method for Medical Landmark Detection in Hip Radiograph Images. CoRR (2023)
Preston K. Robinette, Hanchen D. Wang, Nishan Shehadeh, Daniel Moyer, Taylor T. Johnson
SUDS: Sanitizing Universal and Dependent Steganography. CoRR (2023)
Preston K. Robinette, Daniel Moyer, Taylor T. Johnson
Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models. CoRR (2023)
Anwar Said, Roza G. Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon D. Koutsoukos
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics. CoRR (2023)
Junshen Xu, Daniel Moyer, Borjan A. Gagoski, Juan Eugenio Iglesias, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI. IEEE Trans. Medical Imaging 42 (6) (2023)
Benjamin Billot, Daniel Moyer, Neel Dey, Malte Hoffmann, Esra Abaci Turk, Borjan A. Gagoski, Patricia Ellen Grant, Polina Golland
SE(3)-Equivariant and Noise-Invariant 3D Motion Tracking in Medical Images. CoRR (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 Isgum, Bennett A. Landman
Predicting Age from White Matter Diffusivity with Residual Learning. CoRR (2023)
Anwar Said, Roza G. Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon D. Koutsoukos
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics. NeurIPS (2023)
Junshen Xu, Daniel Moyer, Patricia Ellen Grant, Polina Golland, Juan Eugenio Iglesias, Elfar Adalsteinsson
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI. MICCAI (6) (2022)
Junshen Xu, Daniel Moyer, Patricia Ellen Grant, Polina Golland, Juan Eugenio Iglesias, Elfar Adalsteinsson
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI. CoRR (2022)
Daniel Moyer, Polina Golland
Harmonization and the Worst Scanner Syndrome. CoRR (2021)
Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III
Multimodal Representation Learning via Maximization of Local Mutual Information. MICCAI (2) (2021)
Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III
Multimodal Representation Learning via Maximization of Local Mutual Information. CoRR (2021)
Daniel Moyer, Esra Abaci Turk, Patricia Ellen Grant, William M. Wells III, Polina Golland
Equivariant Filters for Efficient Tracking in 3D Imaging. CoRR (2021)
Daniel Moyer, Esra Abaci Turk, Patricia Ellen Grant, William M. Wells III, Polina Golland
Equivariant Filters for Efficient Tracking in 3D Imaging. MICCAI (4) (2021)
Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland
Image Classification with Consistent Supporting Evidence. ML4H@NeurIPS (2021)
Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland
Image Classification with Consistent Supporting Evidence. CoRR (2021)
Daniel Moyer, Greg Ver Steeg, Paul M. Thompson
Overview of Scanner Invariant Representations. CoRR (2020)
Ayush Jaiswal, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan
Invariant Representations through Adversarial Forgetting. AAAI (2020)
Ruizhi Liao, Daniel Moyer, Polina Golland, William M. Wells III
DEMI: Discriminative Estimator of Mutual Information. CoRR (2020)
Razvan V. Marinescu, Daniel Moyer, Polina Golland
Bayesian Image Reconstruction using Deep Generative Models. CoRR (2020)
Anvar Kurmukov, Ayagoz Mussabaeva, Yulia Denisova, Daniel Moyer, Neda Jahanshad, Paul M. Thompson, Boris A. Gutman
Optimizing Connectivity-Driven Brain Parcellation Using Ensemble Clustering. Brain Connect. 10 (4) (2020)
Hrayr Harutyunyan, Daniel Moyer, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
Efficient Covariance Estimation from Temporal Data. CoRR (2019)
Ayush Jaiswal, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan
Invariant Representations through Adversarial Forgetting. CoRR (2019)
Rob Brekelmans, Daniel Moyer, Aram Galstyan, Greg Ver Steeg
Exact Rate-Distortion in Autoencoders via Echo Noise. CoRR (2019)
James C. Davis, Daniel Moyer, Ayaan M. Kazerouni, Dongyoon Lee
Testing Regex Generalizability And Its Implications: A Large-Scale Many-Language Measurement Study. ASE (2019)
Rob Brekelmans, Daniel Moyer, Aram Galstyan, Greg Ver Steeg
Exact Rate-Distortion in Autoencoders via Echo Noise. NeurIPS (2019)
Greg Ver Steeg, Hrayr Harutyunyan, Daniel Moyer, Aram Galstyan
Fast structure learning with modular regularization. NeurIPS (2019)
Daniel Moyer, Greg Ver Steeg, Chantal M. W. Tax, Paul M. Thompson
Scanner Invariant Representations for Diffusion MRI Harmonization. CoRR (2019)
Ayush Jaiswal, Rob Brekelmans, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan
Discovery and Separation of Features for Invariant Representation Learning. CoRR (2019)
Daniel Moyer, Shuyang Gao, Rob Brekelmans, Aram Galstyan, Greg Ver Steeg
Invariant Representations without Adversarial Training. NeurIPS (2018)
Anvar Kurmukov, Ayagoz Mussabayeva, Yulia Denisova, Daniel Moyer, Boris Gutman
Connectivity-Driven Brain Parcellation via Consensus Clustering. CoRR (2018)
Daniel Moyer, Paul M. Thompson, Greg Ver Steeg
Measures of Tractography Convergence. CoRR (2018)
Daniel Moyer, Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan
Evading the Adversary in Invariant Representation. CoRR (2018)
Anvar Kurmukov, Ayagoz Musabayeva, Yulia Denisova, Daniel Moyer, Boris Gutman
Connectivity-Driven Brain Parcellation via Consensus Clustering. CNI@MICCAI (2018)
Yves van Gennip, Blake Hunter, Anna Ma, Daniel Moyer, Ryan de Vera, Andrea L. Bertozzi
Unsupervised record matching with noisy and incomplete data. Int. J. Data Sci. Anal. 6 (2) (2018)
Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson
A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex. CoRR (2017)
Yves van Gennip, Blake Hunter, Anna Ma, Daniel Moyer, Ryan de Vera, Andrea L. Bertozzi
Unsupervised record matching with noisy and incomplete data. CoRR (2017)
Dmitry Petrov, Alexander Ivanov, Joshua Faskowitz, Boris Gutman, Daniel Moyer, Julio Villalon, Neda Jahanshad, Paul M. Thompson
Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification. MICCAI (1) (2017)
Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson
Continuous representations of brain connectivity using spatial point processes. Medical Image Anal. 41 (2017)
Dmitry Petrov, Alexander Ivanov, Joshua Faskowitz, Boris Gutman, Daniel Moyer, Julio Villalon, Neda Jahanshad, Paul M. Thompson
Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification. CoRR (2017)
Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson
A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex. IPMI (2017)
Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson
Product Space Decompositions for Continuous Representations of Brain Connectivity. MLMI@MICCAI (2017)
Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson
A Continuous Model of Cortical Connectivity. CoRR (2016)
Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson
A Continuous Model of Cortical Connectivity. MICCAI (1) (2016)
Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson
An Empirical Study of Continuous Connectivity Degree Sequence Equivalents. CoRR (2016)