A Continuous Model of Cortical Connectivity. - Daniel Moyer; Boris A. Gutman; Joshua Faskowitz; Neda Jahanshad; Paul M. Thompson (MICCAI (1), 2016)

An Empirical Study of Continuous Connectivity Degree Sequence Equivalents. - Daniel Moyer; Boris A. Gutman; Joshua Faskowitz; Neda Jahanshad; Paul M. Thompson (CoRR, 2016)

A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex. - Daniel Moyer; Boris A. Gutman; Neda Jahanshad; Paul M. Thompson (IPMI, 2017)

Product Space Decompositions for Continuous Representations of Brain Connectivity. - Daniel Moyer; Boris A. Gutman; Neda Jahanshad; Paul M. Thompson (MLMI@MICCAI, 2017)

Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification. - Dmitry Petrov; Alexander Ivanov 003; Joshua Faskowitz; Boris Gutman; Daniel Moyer; Julio Villalon; Neda Jahanshad; Paul M. Thompson (MICCAI (1), 2017)

Continuous representations of brain connectivity using spatial point processes. - Daniel Moyer; Boris A. Gutman; Joshua Faskowitz; Neda Jahanshad; Paul M. Thompson (Medical Image Anal., 2017)

Connectivity-Driven Brain Parcellation via Consensus Clustering. - Anvar Kurmukov; Ayagoz Musabayeva; Yulia Denisova; Daniel Moyer; Boris Gutman (CNI@MICCAI, 2018)

Invariant Representations without Adversarial Training. - Daniel Moyer; Shuyang Gao; Rob Brekelmans; Aram Galstyan; Greg Ver Steeg (NeurIPS, 2018)

Evading the Adversary in Invariant Representation. - Daniel Moyer; Shuyang Gao; Rob Brekelmans; Greg Ver Steeg; Aram Galstyan (CoRR, 2018)

Measures of Tractography Convergence. - Daniel Moyer; Paul M. Thompson; Greg Ver Steeg (CoRR, 2018)

Unsupervised record matching with noisy and incomplete data. - Yves van Gennip; Blake Hunter; Anna Ma; Daniel Moyer; Ryan de Vera; Andrea L. Bertozzi (Int. J. Data Sci. Anal., 2018)

Testing Regex Generalizability And Its Implications: A Large-Scale Many-Language Measurement Study. - James C. Davis 001; Daniel Moyer; Ayaan M. Kazerouni; Dongyoon Lee (ASE, 2019)

Exact Rate-Distortion in Autoencoders via Echo Noise. - Rob Brekelmans; Daniel Moyer; Aram Galstyan; Greg Ver Steeg (NeurIPS, 2019)

Fast structure learning with modular regularization. - Greg Ver Steeg; Hrayr Harutyunyan; Daniel Moyer; Aram Galstyan (NeurIPS, 2019)

Scanner Invariant Representations for Diffusion MRI Harmonization. - Daniel Moyer; Greg Ver Steeg; Chantal M. W. Tax; Paul M. Thompson (CoRR, 2019)

Efficient Covariance Estimation from Temporal Data. - Hrayr Harutyunyan; Daniel Moyer; Hrant Khachatrian; Greg Ver Steeg; Aram Galstyan (CoRR, 2019)

Discovery and Separation of Features for Invariant Representation Learning. - Ayush Jaiswal; Rob Brekelmans; Daniel Moyer; Greg Ver Steeg; Wael AbdAlmageed; Premkumar Natarajan (CoRR, 2019)

Invariant Representations through Adversarial Forgetting. - Ayush Jaiswal; Daniel Moyer; Greg Ver Steeg; Wael AbdAlmageed; Premkumar Natarajan (AAAI, 2020)

Optimizing Connectivity-Driven Brain Parcellation Using Ensemble Clustering. - Anvar Kurmukov; Ayagoz Mussabaeva; Yulia Denisova; Daniel Moyer; Neda Jahanshad; Paul M. Thompson; Boris A. Gutman (Brain Connect., 2020)

Overview of Scanner Invariant Representations. - Daniel Moyer; Greg Ver Steeg; Paul M. Thompson (CoRR, 2020)

DEMI: Discriminative Estimator of Mutual Information. - Ruizhi Liao 001; Daniel Moyer; Polina Golland; William M. Wells III (CoRR, 2020)

Bayesian Image Reconstruction using Deep Generative Models. - Razvan V. Marinescu; Daniel Moyer; Polina Golland (CoRR, 2020)

Multimodal Representation Learning via Maximization of Local Mutual Information. - Ruizhi Liao 001; Daniel Moyer; Miriam Cha; Keegan Quigley; Seth J. Berkowitz; Steven Horng; Polina Golland; William M. Wells III (MICCAI (2), 2021)

Equivariant Filters for Efficient Tracking in 3D Imaging. - Daniel Moyer; Esra Abaci Turk; Patricia Ellen Grant; William M. Wells III; Polina Golland (MICCAI (4), 2021)

Image Classification with Consistent Supporting Evidence. - Peiqi Wang; Ruizhi Liao 001; Daniel Moyer; Seth J. Berkowitz; Steven Horng; Polina Golland (ML4H@NeurIPS, 2021)

Harmonization and the Worst Scanner Syndrome. - Daniel Moyer; Polina Golland (CoRR, 2021)

SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI. - Junshen Xu; Daniel Moyer; Patricia Ellen Grant; Polina Golland; Juan Eugenio Iglesias; Elfar Adalsteinsson (MICCAI (6), 2022)

SUDS: Sanitizing Universal and Dependent Steganography. - Preston K. Robinette; Hanchen D. Wang; Nishan Shehadeh; Daniel Moyer; Taylor T. Johnson (ECAI, 2023)

AMoRPH: Analytical Model-Based Real-Time Posture Heuristic Inverse Kinematics Solver for Continuum Robots. - Shou-Shan Chiang; Michael da Silva; Daniel Moyer; Cagdas D. Onal (ISER, 2023)

Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context. - Leon Yichen Cai; Ho Hin Lee; Nancy Rose Newlin; Cailey Irene Kerley; Praitayini Kanakaraj; Qi Yang 004; Graham Walter Johnson; Daniel Moyer; Kurt Gregory Schilling; Francois Rheault; Bennett A. Landman (MIDL, 2023)

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics. - Anwar Said; Roza G. Bayrak; Tyler Derr; Mudassir Shabbir; Daniel Moyer; Catie Chang; Xenofon D. Koutsoukos (NeurIPS, 2023)

Label Augmentation Method for Medical Landmark Detection in Hip Radiograph Images. - Yehyun Suh; Peter Chan; J. Ryan Martin; Daniel Moyer (CoRR, 2023)

Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models. - Preston K. Robinette; Daniel Moyer; Taylor T. Johnson (CoRR, 2023)

Predicting Age from White Matter Diffusivity with Residual Learning. - Chenyu Gao; Michael E. Kim; Ho Hin Lee; Qi Yang 004; Nazirah Mohd Khairi; Praitayini Kanakaraj; Nancy R. Newlin; Derek B. Archer; Angela L. Jefferson; Warren D. Taylor; Brian D. Boyd; Lori L. Beason-Held; et al. (CoRR, 2023)

SE(3)-Equivariant and Noise-Invariant 3D Motion Tracking in Medical Images. - Benjamin Billot; Daniel Moyer; Neel Dey; Malte Hoffmann; Esra Abaci Turk; Borjan A. Gagoski; Patricia Ellen Grant; Polina Golland (CoRR, 2023)

NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI. - Junshen Xu; Daniel Moyer; Borjan A. Gagoski; Juan Eugenio Iglesias; Patricia Ellen Grant; Polina Golland; Elfar Adalsteinsson (IEEE Trans. Medical Imaging, 2023)

Sanitizing Hidden Information with Diffusion Models. - Preston K. Robinette; Daniel Moyer; Taylor T. Johnson (ECAI, 2024)

Introducing QuantConn: Overcoming Challenging Diffusion Acquisitions with Harmonization. - Nancy Newlin; Kurt Schilling; Serge Koudoro; Bramsh Qamar Chandio; Praitayini Kanakaraj; Daniel Moyer; Claire E. Kelly; Sila Genc; Joseph Yuan-Mou Yang; Ye Wu 001; Nagesh Adluru; Vishwesh Nath; et al. (CDMRI@MICCAI, 2024)

NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping. - Yamin Li; Ange Lou; Ziyuan Xu; Shengchao Zhang; Shiyu Wang; Dario J. Englot; Soheil Kolouri; Daniel Moyer; Roza G. Bayrak; Catie Chang (NeurIPS, 2024)

Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain. - Kuan-I Chung; Daniel Moyer (CoRR, 2024)

Field-of-View Extension for Diffusion MRI via Deep Generative Models. - 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; et al. (CoRR, 2024)

Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease. - Chenyu Gao; Michael E. Kim; Karthik Ramadass; Praitayini Kanakaraj; Aravind R. Krishnan; Adam M. Saunders; Nancy R. Newlin; Ho Hin Lee; Qi Yang 004; Warren D. Taylor; Brian D. Boyd; Lori L. Beason-Held; et al. (CoRR, 2024)

MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI. - Nancy R. Newlin; Kurt Schilling; Serge Koudoro; Bramsh Qamar Chandio; Praitayini Kanakaraj; Daniel Moyer; Claire E. Kelly; Sila Genc; Jian Chen; Joseph Yuan-Mou Yang; Ye Wu; Yifei He; et al. (CoRR, 2024)

Training Noise Token Pruning. - Mingxing Rao; Bohan Jiang; Daniel Moyer (CoRR, 2024)

DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images. - 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; et al. (Neuroinformatics, 2024)

SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI. - Benjamin Billot; Neel Dey; Daniel Moyer; Malte Hoffmann; Esra Abaci Turk; Borjan A. Gagoski; Patricia Ellen Grant; Polina Golland (IEEE Trans. Medical Imaging, 2024)

Deep Automatic Alignment of Mpox Dermatological Hand Photography. - Bohan Jiang; Andrew McNeil; Yihao Liu; Gaurav Rudravaram; Inga Saknite; Placide Mbala-Kingebeni; Olivier Tshiani Mbaya; Tyra Silaphet; Rachel Weiss; Lori E. Dodd; Veronique Nussenblatt; Daniel Moyer; et al. (ISBI, 2025)

Transformer-Based T1-Tractography. - Jongyeon Yoon; Mingxing Rao; Elyssa M. McMaster; Chloe Cho; Nancy R. Newlin; Kurt G. Schilling; Bennett A. Landman; Daniel Moyer (ISBI, 2025)

Novel dilation-erosion labeling technique allows for rapid, accurate and adjustable alignment measurements in primary TKA. - Aleksander P. Mika; Yehyun Suh; Robert W. Elrod; Martin Faschingbauer; Daniel Moyer; J. Ryan Martin (Comput. Biol. Medicine, 2025)

Scale-up Unlearnable Examples Learning with High-Performance Computing. - Yanfan Zhu; Isaac Lyngaas; Muralikrishnan Gopalakrishnan Meena; Mary Ellen Koran; Bradley A. Malin; Daniel Moyer; Shunxing Bao; Anuj J. Kapadia; Xiao Wang 004; Bennett A. Landman; Yuankai Huo (CoRR, 2025)

Zero-shot prompt-based video encoder for surgical gesture recognition. - Mingxing Rao; Yinhong Qin; Soheil Kolouri; Jie Ying Wu; Daniel Moyer (Int. J. Comput. Assist. Radiol. Surg., 2025)

2D/3D Registration of Acetabular Hip Implants Under Perspective Projection and Fully Differentiable Ellipse Fitting. - Yehyun Suh; J. Ryan Martin; Daniel Moyer (CoRR, 2025)

Better Pose Initialization for Fast and Robust 2D/3D Pelvis Registration. - Yehyun Suh; J. Ryan Martin; Daniel Moyer (CoRR, 2025)