Daniel Moyer

79 papers A* 7A 2B 1Journal 53Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generalization and Memorization in Rectified Flow.
CoRR
Mingxing Rao, Daniel Moyer
2026 J jnl
IntraStyler: Exemplar-based Style Synthesis for Cross-modality Domain Adaptation.
CoRR
Han Liu, Yubo Fan, Hao Li, Dewei Hu, Daniel Moyer, Zhoubing Xu, Benoit M. Dawant, Ipek Oguz
2025 — conf
2D/3D Registration of Acetabular Hip Implants Under Perspective Projection and Fully Differentiable Ellipse Fitting.
CLIP@MICCAI
Yehyun Suh, J. Ryan Martin, Daniel Moyer
2025 J jnl
2D/3D Registration of Acetabular Hip Implants Under Perspective Projection and Fully Differentiable Ellipse Fitting.
CoRR
Yehyun Suh, J. Ryan Martin, Daniel Moyer
2025 J jnl
Better Pose Initialization for Fast and Robust 2D/3D Pelvis Registration.
CoRR
Yehyun Suh, J. Ryan Martin, Daniel Moyer
2025 J jnl
Characterizing Continuous and Discrete Hybrid Latent Spaces for Structural Connectomes.
CoRR
Gaurav Rudravaram, Lianrui Zuo, Adam M. Saunders, Michael E. Kim, Praitayini Kanakaraj, Nancy R. Newlin, Aravind R. Krishnan, Elyssa M. McMaster, Chloe Cho, Susan M. Resnick, Lori L. Beason-Held, Derek B. Archer, Timothy J. Hohman, Daniel Moyer, Bennett A. Landman
2025 — conf
Deep Automatic Alignment of Mpox Dermatological Hand Photography.
ISBI
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, Bennett A. Landman, Benoit M. Dawant, Eric R. Tkaczyk
2025 J jnl
Enhanced Landmark Detection Model in Pelvic Fluoroscopy using 2D/3D Registration Loss.
CoRR
Chou Mo, Yehyun Suh, J. Ryan Martin, Daniel Moyer
2025 J jnl
Fully Differentiable dMRI Streamline Propagation in PyTorch.
CoRR
Jongyeon Yoon, Elyssa M. McMaster, Michael E. Kim, Gaurav Rudravaram, Kurt G. Schilling, Bennett A. Landman, Daniel Moyer
2025 B conf
ISL: Monitoring Image Segmentation Logic in Medical Imaging Analysis.
RV
Ziyan An, Daniel Moyer, Ipek Oguz, Taylor T. Johnson, Meiyi Ma
2025 J jnl
Latent Diffusion Inversion Requires Understanding the Latent Space.
CoRR
Mingxing Rao, Bowen Qu, Daniel Moyer
2025 J jnl
Novel dilation-erosion labeling technique allows for rapid, accurate and adjustable alignment measurements in primary TKA.
Comput. Biol. Medicine
Aleksander P. Mika, Yehyun Suh, Robert W. Elrod, Martin Faschingbauer, Daniel Moyer, J. Ryan Martin
2025 J jnl
Pedicle Screw Pairing and Registration for Screw Pose Estimation from Dual C-arm Images Using CAD Models.
CoRR
Yehyun Suh, Lin Li, Aric Plumley, Chaochao Zhou, Daniel Moyer, Kongbin Kang
2025 J jnl
Scale-up Unlearnable Examples Learning with High-Performance Computing.
CoRR
Yanfan Zhu, Isaac Lyngaas, Muralikrishnan Gopalakrishnan Meena, Mary Ellen Koran, Bradley A. Malin, Daniel Moyer, Shunxing Bao, Anuj J. Kapadia, Xiao Wang, Bennett A. Landman, Yuankai Huo
2025 J jnl
Score-based Membership Inference on Diffusion Models.
CoRR
Mingxing Rao, Bowen Qu, Daniel Moyer
2025 — conf
Transformer-Based T1-Tractography.
ISBI
Jongyeon Yoon, Mingxing Rao, Elyssa M. McMaster, Chloe Cho, Nancy R. Newlin, Kurt G. Schilling, Bennett A. Landman, Daniel Moyer
2025 J jnl
Zero-shot prompt-based video encoder for surgical gesture recognition.
Int. J. Comput. Assist. Radiol. Surg.
Mingxing Rao, Yinhong Qin, Soheil Kolouri, Jie Ying Wu, Daniel Moyer
2024 J jnl
Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease.
CoRR
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 Isgum, Daniel Moyer, Yuankai Huo, Kurt G. Schilling, Lianrui Zuo, Shunxing Bao, Nazirah Mohd Khairi, Zhiyuan Li, Christos Davatzikos, Bennett A. Landman
2024 J jnl
DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images.
Neuroinformatics
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
2024 J jnl
Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain.
CoRR
Kuan-I Chung, Daniel Moyer
2024 J jnl
Field-of-View Extension for Diffusion MRI via Deep Generative Models.
CoRR
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
2024 — conf
Introducing QuantConn: Overcoming Challenging Diffusion Acquisitions with Harmonization.
CDMRI@MICCAI
Nancy Newlin, Kurt Schilling, Serge Koudoro, Bramsh Qamar Chandio, Praitayini Kanakaraj, Daniel Moyer, Claire E. Kelly, Sila Genc, Joseph Yuan-Mou Yang, Ye Wu, Nagesh Adluru, Vishwesh Nath, Sudhir K. Pathak, Walter Schneider, Anurag Gade, William Consagra, Yogesh Rathi, Tom Hendriks, Anna Vilanova, Maxime Chamberland, Tomasz Pieciak, Dominika Ciupek, Antonio Tristán-Vega, Santiago Aja-Fernández, Maciej Malawski, Gani Ouedraogo, Julia Machnio, Paul M. Thompson, Neda Jahanshad, Eleftherios Garyfallidis, Bennett A. Landman
2024 J jnl
MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI.
CoRR
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, Jiawei Zhang, Qingrun Zeng, Fan Zhang, Nagesh Adluru, Vishwesh Nath, Sudhir K. Pathak, Walter Schneider, Anurag Gade, Yogesh Rathi, Tom Hendriks, Anna Vilanova, Maxime Chamberland, Tomasz Pieciak, Dominika Ciupek, Antonio Tristán-Vega, Santiago Aja-Fernández, Maciej Malawski, Gani Ouedraogo, Julia Machnio, Christian Ewert, Paul M. Thompson, Neda Jahanshad, Eleftherios Garyfallidis, Bennett A. Landman
2024 A* conf
NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping.
NeurIPS
Yamin Li, Ange Lou, Ziyuan Xu, Shengchao Zhang, Shiyu Wang, Dario J. Englot, Soheil Kolouri, Daniel Moyer, Roza G. Bayrak, Catie Chang
2024 J jnl
NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping.
CoRR
Yamin Li, Ange Lou, Ziyuan Xu, Shengchao Zhang, Shiyu Wang, Dario J. Englot, Soheil Kolouri, Daniel Moyer, Roza G. Bayrak, Catie Chang
2024 J jnl
SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI.
IEEE Trans. Medical Imaging
Benjamin Billot, Neel Dey, Daniel Moyer, Malte Hoffmann, Esra Abaci Turk, Borjan A. Gagoski, Patricia Ellen Grant, Polina Golland
2024 A conf
Sanitizing Hidden Information with Diffusion Models.
ECAI
Preston K. Robinette, Daniel Moyer, Taylor T. Johnson
2024 J jnl
Training Noise Token Pruning.
CoRR
Mingxing Rao, Bohan Jiang, Daniel Moyer
2024 J jnl
Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition.
CoRR
Mingxing Rao, Yinhong Qin, Soheil Kolouri, Jie Ying Wu, Daniel Moyer
2023 — conf
AMoRPH: Analytical Model-Based Real-Time Posture Heuristic Inverse Kinematics Solver for Continuum Robots.
ISER
Shou-Shan Chiang, Michael da Silva, Daniel Moyer, Cagdas D. Onal
2023 — ed.
Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings
CLIP/FAIMI/EPIMI@MICCAI
Stefan Wesarg, Esther Puyol-Antón, John S. H. Baxter, Marius Erdt, Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Islem Rekik, Roy Eagleson, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Daniel Moyer, Eike Petersen
2023 — conf
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context.
MIDL
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
2023 J jnl
Label Augmentation Method for Medical Landmark Detection in Hip Radiograph Images.
CoRR
Yehyun Suh, Peter Chan, J. Ryan Martin, Daniel Moyer
2023 J jnl
Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models.
CoRR
Preston K. Robinette, Daniel Moyer, Taylor T. Johnson
2023 J jnl
NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI.
IEEE Trans. Medical Imaging
Junshen Xu, Daniel Moyer, Borjan A. Gagoski, Juan Eugenio Iglesias, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
2023 A* conf
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics.
NeurIPS
Anwar Said, Roza G. Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon D. Koutsoukos
2023 J jnl
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics.
CoRR
Anwar Said, Roza G. Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon D. Koutsoukos
2023 J jnl
Predicting Age from White Matter Diffusivity with Residual Learning.
CoRR
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
2023 J jnl
SE(3)-Equivariant and Noise-Invariant 3D Motion Tracking in Medical Images.
CoRR
Benjamin Billot, Daniel Moyer, Neel Dey, Malte Hoffmann, Esra Abaci Turk, Borjan A. Gagoski, Patricia Ellen Grant, Polina Golland
2023 A conf
SUDS: Sanitizing Universal and Dependent Steganography.
ECAI
Preston K. Robinette, Hanchen D. Wang, Nishan Shehadeh, Daniel Moyer, Taylor T. Johnson
2023 J jnl
SUDS: Sanitizing Universal and Dependent Steganography.
CoRR
Preston K. Robinette, Hanchen D. Wang, Nishan Shehadeh, Daniel Moyer, Taylor T. Johnson
2022 — conf
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI.
MICCAI (6)
Junshen Xu, Daniel Moyer, Patricia Ellen Grant, Polina Golland, Juan Eugenio Iglesias, Elfar Adalsteinsson
2022 J jnl
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI.
CoRR
Junshen Xu, Daniel Moyer, Patricia Ellen Grant, Polina Golland, Juan Eugenio Iglesias, Elfar Adalsteinsson
2021 — conf
Equivariant Filters for Efficient Tracking in 3D Imaging.
MICCAI (4)
Daniel Moyer, Esra Abaci Turk, Patricia Ellen Grant, William M. Wells III, Polina Golland
2021 J jnl
Equivariant Filters for Efficient Tracking in 3D Imaging.
CoRR
Daniel Moyer, Esra Abaci Turk, Patricia Ellen Grant, William M. Wells III, Polina Golland
2021 J jnl
Harmonization and the Worst Scanner Syndrome.
CoRR
Daniel Moyer, Polina Golland
2021 — conf
Image Classification with Consistent Supporting Evidence.
ML4H@NeurIPS
Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland
2021 J jnl
Image Classification with Consistent Supporting Evidence.
CoRR
Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland
2021 — conf
Multimodal Representation Learning via Maximization of Local Mutual Information.
MICCAI (2)
Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III
2021 J jnl
Multimodal Representation Learning via Maximization of Local Mutual Information.
CoRR
Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III
2020 J jnl
Bayesian Image Reconstruction using Deep Generative Models.
CoRR
Razvan V. Marinescu, Daniel Moyer, Polina Golland
2020 J jnl
DEMI: Discriminative Estimator of Mutual Information.
CoRR
Ruizhi Liao, Daniel Moyer, Polina Golland, William M. Wells III
2020 A* conf
Invariant Representations through Adversarial Forgetting.
AAAI
Ayush Jaiswal, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan
2020 J jnl
Optimizing Connectivity-Driven Brain Parcellation Using Ensemble Clustering.
Brain Connect.
Anvar Kurmukov, Ayagoz Mussabaeva, Yulia Denisova, Daniel Moyer, Neda Jahanshad, Paul M. Thompson, Boris A. Gutman
2020 J jnl
Overview of Scanner Invariant Representations.
CoRR
Daniel Moyer, Greg Ver Steeg, Paul M. Thompson
2019 J jnl
Discovery and Separation of Features for Invariant Representation Learning.
CoRR
Ayush Jaiswal, Rob Brekelmans, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan
2019 J jnl
Efficient Covariance Estimation from Temporal Data.
CoRR
Hrayr Harutyunyan, Daniel Moyer, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
2019 A* conf
Exact Rate-Distortion in Autoencoders via Echo Noise.
NeurIPS
Rob Brekelmans, Daniel Moyer, Aram Galstyan, Greg Ver Steeg
2019 J jnl
Exact Rate-Distortion in Autoencoders via Echo Noise.
CoRR
Rob Brekelmans, Daniel Moyer, Aram Galstyan, Greg Ver Steeg
2019 A* conf
Fast structure learning with modular regularization.
NeurIPS
Greg Ver Steeg, Hrayr Harutyunyan, Daniel Moyer, Aram Galstyan
2019 J jnl
Invariant Representations through Adversarial Forgetting.
CoRR
Ayush Jaiswal, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan
2019 J jnl
Scanner Invariant Representations for Diffusion MRI Harmonization.
CoRR
Daniel Moyer, Greg Ver Steeg, Chantal M. W. Tax, Paul M. Thompson
2019 A* conf
Testing Regex Generalizability And Its Implications: A Large-Scale Many-Language Measurement Study.
ASE
James C. Davis, Daniel Moyer, Ayaan M. Kazerouni, Dongyoon Lee
2018 — conf
Connectivity-Driven Brain Parcellation via Consensus Clustering.
CNI@MICCAI
Anvar Kurmukov, Ayagoz Musabayeva, Yulia Denisova, Daniel Moyer, Boris Gutman
2018 J jnl
Connectivity-Driven Brain Parcellation via Consensus Clustering.
CoRR
Anvar Kurmukov, Ayagoz Mussabayeva, Yulia Denisova, Daniel Moyer, Boris Gutman
2018 J jnl
Evading the Adversary in Invariant Representation.
CoRR
Daniel Moyer, Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan
2018 A* conf
Invariant Representations without Adversarial Training.
NeurIPS
Daniel Moyer, Shuyang Gao, Rob Brekelmans, Aram Galstyan, Greg Ver Steeg
2018 J jnl
Measures of Tractography Convergence.
CoRR
Daniel Moyer, Paul M. Thompson, Greg Ver Steeg
2018 J jnl
Unsupervised record matching with noisy and incomplete data.
Int. J. Data Sci. Anal.
Yves van Gennip, Blake Hunter, Anna Ma, Daniel Moyer, Ryan de Vera, Andrea L. Bertozzi
2017 — conf
A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex.
IPMI
Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson
2017 J jnl
A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex.
CoRR
Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson
2017 J jnl
Continuous representations of brain connectivity using spatial point processes.
Medical Image Anal.
Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson
2017 — conf
Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification.
MICCAI (1)
Dmitry Petrov, Alexander Ivanov, Joshua Faskowitz, Boris Gutman, Daniel Moyer, Julio Villalon, Neda Jahanshad, Paul M. Thompson
2017 J jnl
Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification.
CoRR
Dmitry Petrov, Alexander Ivanov, Joshua Faskowitz, Boris Gutman, Daniel Moyer, Julio Villalon, Neda Jahanshad, Paul M. Thompson
2017 — conf
Product Space Decompositions for Continuous Representations of Brain Connectivity.
MLMI@MICCAI
Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson
2017 J jnl
Unsupervised record matching with noisy and incomplete data.
CoRR
Yves van Gennip, Blake Hunter, Anna Ma, Daniel Moyer, Ryan de Vera, Andrea L. Bertozzi
2016 — conf
A Continuous Model of Cortical Connectivity.
MICCAI (1)
Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson
2016 J jnl
A Continuous Model of Cortical Connectivity.
CoRR
Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson
2016 J jnl
An Empirical Study of Continuous Connectivity Degree Sequence Equivalents.
CoRR
Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson