Daniel Moyer

Orcid: 0000-0003-4428-5012

According to our database1, Daniel Moyer authored at least 47 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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2025
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Legend:

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Links

On csauthors.net:

Bibliography

2025
Novel dilation-erosion labeling technique allows for rapid, accurate and adjustable alignment measurements in primary TKA.
Comput. Biol. Medicine, 2025

2024
SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI.
IEEE Trans. Medical Imaging, November, 2024

DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images.
Neuroinformatics, April, 2024

Training Noise Token Pruning.
CoRR, 2024

MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI.
CoRR, 2024

Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease.
CoRR, 2024

Field-of-View Extension for Diffusion MRI via Deep Generative Models.
CoRR, 2024

Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain.
CoRR, 2024

Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition.
CoRR, 2024

NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Sanitizing Hidden Information with Diffusion Models.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI.
IEEE Trans. Medical Imaging, June, 2023

SE(3)-Equivariant and Noise-Invariant 3D Motion Tracking in Medical Images.
CoRR, 2023

Predicting Age from White Matter Diffusivity with Residual Learning.
CoRR, 2023

Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models.
CoRR, 2023

Label Augmentation Method for Medical Landmark Detection in Hip Radiograph Images.
CoRR, 2023

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context.
Proceedings of the Medical Imaging with Deep Learning, 2023

AMoRPH: Analytical Model-Based Real-Time Posture Heuristic Inverse Kinematics Solver for Continuum Robots.
Proceedings of the Experimental Robotics - The 18th International Symposium, 2023

SUDS: Sanitizing Universal and Dependent Steganography.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Harmonization and the Worst Scanner Syndrome.
CoRR, 2021

Image Classification with Consistent Supporting Evidence.
Proceedings of the Machine Learning for Health, 2021

Equivariant Filters for Efficient Tracking in 3D Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multimodal Representation Learning via Maximization of Local Mutual Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Bayesian Image Reconstruction using Deep Generative Models.
CoRR, 2020

DEMI: Discriminative Estimator of Mutual Information.
CoRR, 2020

Overview of Scanner Invariant Representations.
CoRR, 2020

Optimizing Connectivity-Driven Brain Parcellation Using Ensemble Clustering.
Brain Connect., 2020

Invariant Representations through Adversarial Forgetting.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Discovery and Separation of Features for Invariant Representation Learning.
CoRR, 2019

Efficient Covariance Estimation from Temporal Data.
CoRR, 2019

Scanner Invariant Representations for Diffusion MRI Harmonization.
CoRR, 2019

Fast structure learning with modular regularization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Exact Rate-Distortion in Autoencoders via Echo Noise.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Testing Regex Generalizability And Its Implications: A Large-Scale Many-Language Measurement Study.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

2018
Unsupervised record matching with noisy and incomplete data.
Int. J. Data Sci. Anal., 2018

Measures of Tractography Convergence.
CoRR, 2018

Evading the Adversary in Invariant Representation.
CoRR, 2018

Invariant Representations without Adversarial Training.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Connectivity-Driven Brain Parcellation via Consensus Clustering.
Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018

2017
Continuous representations of brain connectivity using spatial point processes.
Medical Image Anal., 2017

Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Product Space Decompositions for Continuous Representations of Brain Connectivity.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex.
Proceedings of the Information Processing in Medical Imaging, 2017

2016
An Empirical Study of Continuous Connectivity Degree Sequence Equivalents.
CoRR, 2016

A Continuous Model of Cortical Connectivity.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016


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