Daniel Moyer

Generating author description...

All published works

Action	Title	Year	Authors
+	A technical assessment of latent diffusion for Alzheimer's disease progression	2025	Elyssa M. McMaster Lemuel Puglisi Chenyu Gao Aravind R. Krishnan Adam Saunders Daniele Ravì Lori L. Beason‐Held Susan M. Resnick Lianrui Zuo Daniel Moyer
+ PDF Chat	Scale-up Unlearnable Examples Learning with High-Performance Computing	2025	Yanfei Zhu Isaac Lyngaas Murali Gopalakrishnan Meena Mary Ellen Koran Bradley Malin Daniel Moyer Shunxing Bao Anuj J. Kapadia Xiao Wang Bennett A. Landman
+ PDF Chat	Training Noise Token Pruning	2024	M. Subba Rao Bohan Jiang Daniel Moyer
+ PDF Chat	Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease	2024	Chenyu Gao Michael E. Kim Karthik Ramadass Praitayini Kanakaraj Aravind R. Krishnan Adam Saunders Nancy R. Newlin Ho Hin Lee Qi Yang Warren D. Taylor
+ PDF Chat	NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping	2024	Yamin Li Ange Lou Ziyuan Xu Shengchao Zhang Shiyu Wang Dario J. Englot Soheil Kolouri Daniel Moyer Roza G. Bayrak Catie Chang
+ PDF Chat	MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI	2024	Nancy R. Newlin Kurt G. Schilling Serge Koudoro Bramsh Q. Chandio Praitayini Kanakaraj Daniel Moyer Claire E. Kelly Sila Genc Jian Chen Joseph Yuan-Mou Yang
+ PDF Chat	Field-of-View Extension for Diffusion MRI via Deep Generative Models	2024	Chenyu Gao Shunxing Bao Michael Kim Nancy R. Newlin Praitayini Kanakaraj Tianyuan Yao Gaurav Rudravaram Yuankai Huo Daniel Moyer Kurt G. Schilling
+ PDF Chat	Predicting age from white matter diffusivity with residual learning	2024	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
+	Tractography with T1-weighted MRI and associated anatomical constraints on clinical quality diffusion MRI	2024	Tian Yu Yunhe Li Michael E. Kim Chenyu Gao Qi Yang Leon Y. Cai Susan M. Resnick Lori L. Beason‐Held Daniel Moyer Kurt G. Schilling
+ PDF Chat	Evaluation of mean shift, ComBat, and CycleGAN for harmonizing brain connectivity matrices across sites	2024	Hanliang Xu Nancy R. Newlin Michael E. Kim Chenyu Gao Praitayini Kanakaraj Aravind R. Krishnan Lucas W. Remedios Nazirah Mohd Khairi Kimberly R. Pechman Derek B. Archer
+ PDF Chat	Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition	2024	M. Subba Rao Yinhong Qin Soheil Kolouri Jie Wu Daniel Moyer
+ PDF Chat	Tractography with T1-weighted MRI and associated anatomical constraints on clinical quality diffusion MRI	2024	Tian Yu Yunhe Li Michael E. Kim Chenyu Gao Qi Yang Leon Y. Cai Susane M. Resnick Lori L. Beason‐Held Daniel Moyer Kurt G. Schilling
+	Evaluation of Mean Shift, ComBat, and CycleGAN for Harmonizing Brain Connectivity Matrices Across Sites	2024	Hanliang Xu Nancy R. Newlin Michael E. Kim Chenyu Gao Praitayini Kanakaraj Aravind R. Krishnan Lucas W. Remedios Nazirah Mohd Khairi Kimberly R. Pechman Derek B. Archer
+	NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics	2023	Anwar Said Roza G. Bayrak Tyler Derr Mudassir Shabbir Daniel Moyer Catie Chang Xenofon Koutsoukos
+	SUDS: Sanitizing Universal and Dependent Steganography	2023	Preston K. Robinette Hanchen D. Wang Nishan Shehadeh Daniel Moyer Taylor T. Johnson
+	Label Augmentation Method for Medical Landmark Detection in Hip Radiograph Images	2023	Yehyun Suh Peter Chan J. Ryan Martin Daniel Moyer
+	Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models	2023	Preston K. Robinette Daniel Moyer Taylor T. Johnson
+	SE(3)-Equivariant and Noise-Invariant 3D Motion Tracking in Medical Images	2023	Benjamin Billot Daniel Moyer Neel Dey Malte Hoffmann Esra Abacı Türk Borjan Gagoski P. Ellen Grant Polina Golland
+	SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI	2022	Junshen Xu Daniel Moyer P. Ellen Grant Polina Golland Juan Eugenio Iglesias Elfar Adalsteinsson
+	SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI	2022	Junshen Xu Daniel Moyer P. Ellen Grant Polina Golland Juan Eugenio Iglesias Elfar Adalsteinsson
+ PDF Chat	Image Classification with Consistent Supporting Evidence	2021	Peiqi Wang Ruizhi Liao Daniel Moyer Seth A. Berkowitz Steven Horng Polina Golland
+	COVID-19’s U.S. Temperature Response Profile	2021	Richard T. Carson Samuel L. Carson Thayne Keegan Dye Samuel A. Mayfield Daniel Moyer Chu A. Yu
+	Equivariant Filters for Efficient Tracking in 3D Imaging	2021	Daniel Moyer Esra Abacı Türk P. Ellen Grant William M. Wells Polina Golland
+	Multimodal Representation Learning via Maximization of Local Mutual Information	2021	Ruizhi Liao Daniel Moyer Miriam Cha Keegan Quigley Seth J. Berkowitz Steven Horng Polina Golland William M. Wells
+	Harmonization and the Worst Scanner Syndrome	2021	Daniel Moyer Polina Golland
+ PDF Chat	Multimodal Representation Learning via Maximization of Local Mutual Information	2021	Ruizhi Liao Daniel Moyer Miriam Cha Keegan Quigley Seth J. Berkowitz Steven Horng Polina Golland William M. Wells
+ PDF Chat	Equivariant Filters for Efficient Tracking in 3D Imaging	2021	Daniel Moyer Esra Abacı Türk P. Ellen Grant William M. Wells Polina Golland
+	Image Classification with Consistent Supporting Evidence	2021	Peiqi Wang Ruizhi Liao Daniel Moyer Seth J. Berkowitz Steven Horng Polina Golland
+	Equivariant Filters for Efficient Tracking in 3D Imaging	2021	Daniel Moyer Esra Abacı Türk P Ellen Grant William M. Wells Polina Golland
+	Bayesian Image Reconstruction using Deep Generative Models	2020	Răzvan V. Marinescu Daniel Moyer Polina Golland
+	COVID-19’s U.S. Temperature Response Profile	2020	Richard T. Carson Samuel L. Carson Thayne Keegan Dye Samuel A. Mayfield Daniel Moyer Chu A. Yu
+ PDF Chat	Scanner invariant representations for diffusion MRI harmonization	2020	Daniel Moyer Greg Ver Steeg Chantal M. W. Tax Paul M. Thompson
+ PDF Chat	Invariant Representations through Adversarial Forgetting	2020	Ayush Jaiswal Daniel Moyer Greg Ver Steeg Wael AbdAlmageed Prem Natarajan
+	Overview of Scanner Invariant Representations	2020	Daniel Moyer Greg Ver Steeg Paul M. Thompson
+	DEMI: Discriminative Estimator of Mutual Information	2020	Ruizhi Liao Daniel Moyer Polina Golland William M. Wells
+	Bayesian Image Reconstruction using Deep Generative Models	2020	Răzvan V. Marinescu Daniel Moyer Polina Golland
+	Invariant Representations through Adversarial Forgetting	2019	Ayush Jaiswal Daniel Moyer Greg Ver Steeg Wael AbdAlmageed Prem Natarajan
+	Scanner Invariant Representations for Diffusion MRI Harmonization	2019	Daniel Moyer Greg Ver Steeg Chantal M. W. Tax Paul M. Thompson
+	Exact Rate-Distortion in Autoencoders via Echo Noise	2019	Rob Brekelmans Daniel Moyer Aram Galstyan Greg Ver Steeg
+	Efficient Covariance Estimation from Temporal Data	2019	Hrayr Harutyunyan Daniel Moyer Hrant Khachatrian Greg Ver Steeg Aram Galstyan
+ PDF Chat	Measures of Tractography Convergence	2019	Daniel Moyer Paul M. Thompson Greg Ver Steeg
+	Discovery and Separation of Features for Invariant Representation Learning	2019	Ayush Jaiswal Rob Brekelmans Daniel Moyer Greg Ver Steeg Wael AbdAlmageed Prem Natarajan
+	Invariant Representations through Adversarial Forgetting	2019	Ayush Jaiswal Daniel Moyer Greg Ver Steeg Wael AbdAlmageed Prem Natarajan
+	Scanner Invariant Representations for Diffusion MRI Harmonization	2019	Daniel Moyer Greg Ver Steeg Chantal M. W. Tax Paul M. Thompson
+	Connectivity-Driven Brain Parcellation via Consensus Clustering	2018	Anvar Kurmukov Ayagoz Mussabayeva Yulia Denisova Daniel Moyer Boris A. Gutman
+	Measures of Tractography Convergence	2018	Daniel Moyer Paul M. Thompson Greg Ver Steeg
+	Evading the Adversary in Invariant Representation	2018	Daniel Moyer Shuyang Gao Rob Brekelmans Greg Ver Steeg Aram Galstyan
+ PDF Chat	Connectivity-Driven Brain Parcellation via Consensus Clustering	2018	Anvar Kurmukov Ayagoz Musabaeva Yulia Denisova Daniel Moyer Boris A. Gutman
+	Invariant Representations without Adversarial Training	2018	Daniel Moyer Shuyang Gao Rob Brekelmans Greg Ver Steeg Aram Galstyan
+	Connectivity-Driven Brain Parcellation via Consensus Clustering	2018	Anvar Kurmukov Ayagoz Mussabayeva Yulia Denisova Daniel Moyer Boris A. Gutman
+	Measures of Tractography Convergence	2018	Daniel Moyer Paul M. Thompson Greg Ver Steeg
+	Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification	2017	Dmitry Petrov Alexander Ivanov Joshua Faskowitz Boris A. Gutman Daniel Moyer Julio Villalón Neda Jahanshad Paul M. Thompson
+	Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification	2017	Dmitry Petrov Alexander Ivanov Joshua Faskowitz Boris A. Gutman Daniel Moyer Julio Villalón Neda Jahanshad Paul M. Thompson
+	Continuous representations of brain connectivity using spatial point processes	2017	Daniel Moyer Boris A. Gutman Joshua Faskowitz Neda Jahanshad Paul M. Thompson
+	A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex	2017	Daniel Moyer Boris A. Gutman Neda Jahanshad Paul M. Thompson
+ PDF Chat	A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex	2017	Daniel Moyer Boris A. Gutman Neda Jahanshad Paul M. Thompson
+	Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification	2017	Dmitry Petrov Alexander Ivanov Joshua Faskowitz Boris A. Gutman Daniel Moyer Julio Villalón Neda Jahanshad Paul M. Thompson
+	Fast structure learning with modular regularization	2017	Greg Ver Steeg Hrayr Harutyunyan Daniel Moyer Aram Galstyan
+	A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex	2017	Daniel Moyer Boris A. Gutman Neda Jahanshad Paul M. Thompson
+	Unsupervised record matching with noisy and incomplete data	2017	Yves van Gennip Blake Hunter Anna Ma Daniel Moyer Ryan de Vera Andrea L. Bertozzi
+	Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification	2017	Dmitry Petrov А. В. Иванов Joshua Faskowitz Boris A. Gutman Daniel Moyer Julio Villalón Neda Jahanshad Paul M. Thompson
+	A Continuous Model of Cortical Connectivity	2016	Daniel Moyer Boris A. Gutman Joshua Faskowitz Neda Jahanshad Paul M. Thompson
+ PDF Chat	A Continuous Model of Cortical Connectivity	2016	Daniel Moyer Boris A. Gutman Joshua Faskowitz Neda Jahanshad Paul M. Thompson
+	An Empirical Study of Continuous Connectivity Degree Sequence Equivalents	2016	Daniel Moyer Boris A. Gutman Joshua Faskowitz Neda Jahanshad Paul M. Thompson
+	A Continuous Model of Cortical Connectivity	2016	Daniel Moyer Boris A. Gutman Joshua Faskowitz Neda Jahanshad Paul M. Thompson

Common Coauthors

Coauthor	Papers Together
Paul M. Thompson	20
Greg Ver Steeg	16
Boris A. Gutman	15
Polina Golland	14
Neda Jahanshad	13
Bennett A. Landman	10
Joshua Faskowitz	9
Kurt G. Schilling	8
Chenyu Gao	7
Yuankai Huo	6
Nancy R. Newlin	6
Michael E. Kim	6
Praitayini Kanakaraj	6
Aram Galstyan	5
Ruizhi Liao	5
William M. Wells	5
Lori L. Beason‐Held	5
Derek B. Archer	5
Ayush Jaiswal	4
Timothy J. Hohman	4
Rob Brekelmans	4
Prem Natarajan	4
Nazirah Mohd Khairi	4
Qi Yang	4
Esra Abacı Türk	4
Aravind R. Krishnan	4
Julio Villalón	4
Susan M. Resnick	4
Ivana Išgum	4
Wael AbdAlmageed	4
Steven Horng	4
Anvar Kurmukov	3
P. Ellen Grant	3
Angela L. Jefferson	3
Alexander Ivanov	3
Chantal M. W. Tax	3
Dmitry Petrov	3
Seth J. Berkowitz	3
Shunxing Bao	3
Peiqi Wang	2
Brian D. Boyd	2
Chu A. Yu	2
Taylor T. Johnson	2
Keegan Quigley	2
Samuel A. Mayfield	2
Catie Chang	2
Soheil Kolouri	2
Thayne Keegan Dye	2
Elfar Adalsteinsson	2
Richard T. Carson	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Invariant Representations without Adversarial Training	2018	Daniel Moyer Shuyang Gao Rob Brekelmans Greg Ver Steeg Aram Galstyan	6
+	The information bottleneck method	2000	Naftali Tishby Fernando C. N. Pereira William Bialek	5
+ PDF Chat	A Continuous Model of Cortical Connectivity	2016	Daniel Moyer Boris A. Gutman Joshua Faskowitz Neda Jahanshad Paul M. Thompson	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+ PDF Chat	Domain-Adversarial Training of Neural Networks	2017	Yaroslav Ganin Evgeniya Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette Mario Marchand Victor Lempitsky	4
+	Controllable Invariance through Adversarial Feature Learning	2017	Qizhe Xie Zihang Dai Yulun Du Eduard Hovy Graham Neubig	4
+ PDF Chat	Information Dropout: Learning Optimal Representations Through Noisy Computation	2018	Alessandro Achille Stefano Soatto	4
+	A Kernel Method for Smoothing Point Process Data	1985	Peter J. Diggle	4
+	InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets	2016	Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel	3
+ PDF Chat	Unsupervised white matter fiber clustering and tract probability map generation: Applications of a Gaussian process framework for white matter fibers	2010	Demián Wassermann Luke Bloy E.G. Kanterakis Ragini Verma Rachid Deriche	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+	Unified Adversarial Invariance	2019	Ayush Jaiswal Rex Yue Wu Wael AbdAlmageed Prem Natarajan	3
+ PDF Chat	Extent to which least-squares cross-validation minimises integrated square error in nonparametric density estimation	1987	Peter Hall J. S. Marron	3
+	MINE: Mutual Information Neural Estimation.	2018	Ishmael Belghazi Sai Rajeswar Aristide Baratin R Devon Hjelm Aaron Courville	3
+ PDF Chat	Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration	2018	Seyed Sadegh Mohseni Salehi Shadab Khan Deniz Erdoğmuş Ali Gholipour	3
+ PDF Chat	Automatically Parcellating the Human Cerebral Cortex	2003	Bruce Fischl André van der Kouwe Christophe Destrieux Eric Halgren Florent Ségonne David H. Salat Evelina Busa Larry J. Seidman Jill M. Goldstein David N. Kennedy	3
+ PDF Chat	Statistical Inference and Simulation for Spatial Point Processes	2003	Jesper Møller Rasmus Waagepetersen	3
+ PDF Chat	RoPAD: Robust Presentation Attack Detection through Unsupervised Adversarial Invariance	2019	Ayush Jaiswal Shuai Xia Iacopo Masi Wael AbdAlmageed	3
+ PDF Chat	NIESR: Nuisance Invariant End-to-End Speech Recognition	2019	I-Hung Hsu Ayush Jaiswal Prem Natarajan	3
+	Dynamic Routing Between Capsules	2017	Sara Sabour Nicholas Frosst Geoffrey E. Hinton	3
+	Understanding the Limitations of Variational Mutual Information Estimators	2019	Jiaming Song Stefano Ermon	3
+ PDF Chat	Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment	2020	Geeticka Chauhan Ruizhi Liao William M. Wells Jacob Andreas Xin Wang Seth J. Berkowitz Steven Horng Peter Szolovits Polina Golland	3
+	Learning unbiased features	2014	Yujia Li Kevin Swersky Richard S. Zemel	3
+ PDF Chat	Combinatorial Stochastic Processes	2006	Jim Pitman Jean Picard	2
+	Multiple-subjects connectivity-based parcellation using hierarchical Dirichlet process mixture models	2008	Saâd Jbabdi Mark W. Woolrich Timothy E.J. Behrens	2
+	Stochastic Backpropagation and Approximate Inference in Deep Generative Models	2014	Danilo Jimenez Rezende Shakir Mohamed Daan Wierstra	2
+ PDF Chat	Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature	2010	Christophe Destrieux Bruce Fischl Anders M. Dale Eric Halgren	2
+	Unsupervised Adversarial Invariance	2018	Ayush Jaiswal Yue Wu Wael AbdAlmageed Prem Natarajan	2
+ PDF Chat	On the Continuity of Rotation Representations in Neural Networks	2019	Yi Zhou Connelly Barnes Jingwan Lu Shuicheng Yan Hao Li	2
+	3D whole brain segmentation using spatially localized atlas network tiles	2019	Yuankai Huo Zhoubing Xu Yunxi Xiong Katherine S. Aboud Prasanna Parvathaneni Shunxing Bao Camilo Bermudez Susan M. Resnick Laurie E. Cutting Bennett A. Landman	2
+	The Estimation of Cobb-Douglas Type Functions with Multiplicative and Additive Errors	1970	Stephen M. Goldfeld Richard E. Quandt	2
+ PDF Chat	A deep learning framework for unsupervised affine and deformable image registration	2018	Bob D. de Vos Floris F. Berendsen Max A. Viergever Hessam Sokooti Marius Staring Ivana Išgum	2
+	Learning deep representations by mutual information estimation and maximization	2018	R Devon Hjelm Alex Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio	2
+ PDF Chat	CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison	2019	Jeremy Irvin Pranav Rajpurkar Michael Ko Yifan Yu Silviana Ciurea-Ilcus Chris Chute Henrik Marklund Behzad Haghgoo Robyn L. Ball Katie Shpanskaya	2
+	Intraclass correlations: Uses in assessing rater reliability.	1979	Patrick E. Shrout Joseph L. Fleiss	2
+	BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables	2013	Cho‐Jui Hsieh Mátyás A. Sustik Inderjit S. Dhillon Pradeep Ravikumar Russell A. Poldrack	2
+	3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data	2018	Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco Cohen	2
+ PDF Chat	A well-conditioned estimator for large-dimensional covariance matrices	2003	Olivier Ledoit Michael Wolf	2
+	Isolating Sources of Disentanglement in Variational Autoencoders	2018	Ricky T. Q. Chen Xuechen Li Roger Grosse David Duvenaud	2
+	Sparse inverse covariance estimation with the graphical lasso	2007	Jerome H. Friedman Trevor Hastie R. Tibshirani	2
+	Kernel density estimation with spherical data	1987	Peter Hall G. S. Watson Javier Cabrera	2
+	The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models	2018	Shengjia Zhao Jiaming Song Stefano Ermon	2
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	2
+	Multivariate information transmission	1954	W. J. McGill	2
+	QUIC: quadratic approximation for sparse inverse covariance estimation	2014	Cho‐Jui Hsieh Mátyás A. Sustik Inderjit S. Dhillon Pradeep Ravikumar	2
+	Information Constraints on Auto-Encoding Variational Bayes	2018	Romain Lopez Jeffrey Regier Michael I. Jordan Nir Yosef	2
+ PDF Chat	Slice-to-volume medical image registration: A survey	2017	Enzo Ferrante Nikos Paragios	2
+ PDF Chat	A Kernel Method for the Two-Sample-Problem	2007	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	2
+	Deep Variational Information Bottleneck	2016	Alexander A. Alemi Ian Fischer Joshua V. Dillon Kevin Murphy	2
+	Automatic Tractography Segmentation Using a High-Dimensional White Matter Atlas	2007	Lauren J. O’Donnell C.-F. Westin	2