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2020 – today
- 2024
[j5]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): 193-205 (2024)- [c18]Preston K. Robinette, Daniel Moyer, Taylor T. Johnson:
Sanitizing Hidden Information with Diffusion Models. ECAI 2024: 778-785 - [i30]Mingxing Rao, Yinhong Qin, Soheil Kolouri, Jie Ying Wu, Daniel Moyer:
Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition. CoRR abs/2403.19786 (2024) - [i29]Kuan-I Chung, Daniel Moyer:
Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain. CoRR abs/2404.16155 (2024) - [i28]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 abs/2405.03652 (2024) - 2023
- [j4]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): 1707-1719 (2023) - [c17]Preston K. Robinette, Hanchen D. Wang, Nishan Shehadeh, Daniel Moyer, Taylor T. Johnson:
SUDS: Sanitizing Universal and Dependent Steganography. ECAI 2023: 1978-1985 - [c16]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: 1124-1143 - [c15]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 - [e1]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:
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. Lecture Notes in Computer Science 14242, Springer 2023, ISBN 978-3-031-45248-2 [contents] - [i27]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 abs/2306.06202 (2023) - [i26]Preston K. Robinette, Hanchen D. Wang, Nishan Shehadeh, Daniel Moyer, Taylor T. Johnson:
SUDS: Sanitizing Universal and Dependent Steganography. CoRR abs/2309.13467 (2023) - [i25]Yehyun Suh, Peter Chan, J. Ryan Martin, Daniel Moyer:
Label Augmentation Method for Medical Landmark Detection in Hip Radiograph Images. CoRR abs/2309.16066 (2023) - [i24]Preston K. Robinette, Daniel Moyer, Taylor T. Johnson:
Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models. CoRR abs/2310.06951 (2023) - [i23]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 abs/2311.03500 (2023) - [i22]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 abs/2312.13534 (2023) - 2022
- [c14]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: 3-13 - [i21]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 abs/2206.10802 (2022) - 2021
- [c13]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: 193-202 - [c12]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: 273-283 - [c11]Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland:
Image Classification with Consistent Supporting Evidence. ML4H@NeurIPS 2021: 168-180 - [i20]Daniel Moyer, Polina Golland:
Harmonization and the Worst Scanner Syndrome. CoRR abs/2101.06255 (2021) - [i19]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 abs/2103.04537 (2021) - [i18]Daniel Moyer, Esra Abaci Turk, Patricia Ellen Grant, William M. Wells III, Polina Golland:
Equivariant Filters for Efficient Tracking in 3D Imaging. CoRR abs/2103.10255 (2021) - [i17]Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland:
Image Classification with Consistent Supporting Evidence. CoRR abs/2111.07048 (2021) - 2020
- [j3]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): 183-194 (2020) - [c10]Ayush Jaiswal, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan:
Invariant Representations through Adversarial Forgetting. AAAI 2020: 4272-4279 - [i16]Daniel Moyer, Greg Ver Steeg, Paul M. Thompson:
Overview of Scanner Invariant Representations. CoRR abs/2006.00115 (2020) - [i15]Ruizhi Liao, Daniel Moyer, Polina Golland, William M. Wells III:
DEMI: Discriminative Estimator of Mutual Information. CoRR abs/2010.01766 (2020) - [i14]Razvan V. Marinescu, Daniel Moyer, Polina Golland:
Bayesian Image Reconstruction using Deep Generative Models. CoRR abs/2012.04567 (2020)
2010 – 2019
- 2019
- [c9]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: 427-439 - [c8]Rob Brekelmans, Daniel Moyer, Aram Galstyan, Greg Ver Steeg:
Exact Rate-Distortion in Autoencoders via Echo Noise. NeurIPS 2019: 3884-3895 - [c7]Greg Ver Steeg, Hrayr Harutyunyan, Daniel Moyer, Aram Galstyan:
Fast structure learning with modular regularization. NeurIPS 2019: 15567-15577 - [i13]Daniel Moyer, Greg Ver Steeg, Chantal M. W. Tax, Paul M. Thompson:
Scanner Invariant Representations for Diffusion MRI Harmonization. CoRR abs/1904.05375 (2019) - [i12]Rob Brekelmans, Daniel Moyer, Aram Galstyan, Greg Ver Steeg:
Exact Rate-Distortion in Autoencoders via Echo Noise. CoRR abs/1904.07199 (2019) - [i11]Hrayr Harutyunyan, Daniel Moyer, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan:
Efficient Covariance Estimation from Temporal Data. CoRR abs/1905.13276 (2019) - [i10]Ayush Jaiswal, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan:
Invariant Representations through Adversarial Forgetting. CoRR abs/1911.04060 (2019) - [i9]Ayush Jaiswal, Rob Brekelmans, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan:
Discovery and Separation of Features for Invariant Representation Learning. CoRR abs/1912.00646 (2019) - 2018
- [j2]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): 109-129 (2018) - [c6]Anvar Kurmukov, Ayagoz Musabayeva, Yulia Denisova, Daniel Moyer, Boris Gutman:
Connectivity-Driven Brain Parcellation via Consensus Clustering. CNI@MICCAI 2018: 117-126 - [c5]Daniel Moyer, Shuyang Gao, Rob Brekelmans, Aram Galstyan, Greg Ver Steeg:
Invariant Representations without Adversarial Training. NeurIPS 2018: 9102-9111 - [i8]Daniel Moyer, Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan:
Evading the Adversary in Invariant Representation. CoRR abs/1805.09458 (2018) - [i7]Daniel Moyer, Paul M. Thompson, Greg Ver Steeg:
Measures of Tractography Convergence. CoRR abs/1806.04634 (2018) - [i6]Anvar Kurmukov, Ayagoz Mussabayeva, Yulia Denisova, Daniel Moyer, Boris Gutman:
Connectivity-Driven Brain Parcellation via Consensus Clustering. CoRR abs/1808.04262 (2018) - 2017
- [j1]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: 32-39 (2017) - [c4]Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson:
A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex. IPMI 2017: 336-347 - [c3]Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson:
Product Space Decompositions for Continuous Representations of Brain Connectivity. MLMI@MICCAI 2017: 353-361 - [c2]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: 515-522 - [i5]Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson:
A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex. CoRR abs/1703.00981 (2017) - [i4]Yves van Gennip, Blake Hunter, Anna Ma, Daniel Moyer, Ryan de Vera, Andrea L. Bertozzi:
Unsupervised record matching with noisy and incomplete data. CoRR abs/1704.02955 (2017) - [i3]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 abs/1706.06031 (2017) - 2016
- [c1]Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson:
A Continuous Model of Cortical Connectivity. MICCAI (1) 2016: 157-165 - [i2]Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson:
A Continuous Model of Cortical Connectivity. CoRR abs/1610.03809 (2016) - [i1]Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson:
An Empirical Study of Continuous Connectivity Degree Sequence Equivalents. CoRR abs/1611.06197 (2016)
Coauthor Index
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last updated on 2024-10-28 20:15 CET by the dblp team
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