Moyer, Daniel

10 publications

MIDL 2026 Landmark Detection Uncertainty as a Reliability Weight for Robust Landmark-Based 2D/3D Pelvic Pose Estimation Yehyun Suh, Brayden Schott, Chou Mo, J. Ryan Martin, Daniel Moyer

MIDL 2026 ResGAT: A Residual Graph Attention Network for Cancer Subtype Classification in Whole Slide Images Zhenhan Lin, Hao Tong, Yunfei Hu, Xianyong Gui, Jeanne Shen, Byrne Lee, Lu Zhang, Daniel Moyer, Mu Zhou, Xin Maizie Zhou, Konstantinos Votanopoulos

MIDL 2026 UnEBOLT: A Unified Model for EEG-to-BOLD Translation and Functional Connectivity Reconstruction Yamin Li, Ange Lou, Chang Li, Shiyu Wang, Haatef Pourmotabbed, Ziyuan Xu, Shengchao Zhang, Dario J. Englot, Soheil Kolouri, Daniel Moyer, Roza G. Bayrak, Catie Chang

NeurIPS 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 2023 NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics Anwar Said, Roza Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon Koutsoukos

NeurIPSW 2021 Bayesian Image Reconstruction Using Deep Generative Models Razvan Marinescu, Daniel Moyer, Polina Golland

AAAI 2020 Invariant Representations Through Adversarial Forgetting Ayush Jaiswal, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan

NeurIPS 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 2018 Invariant Representations Without Adversarial Training Daniel Moyer, Shuyang Gao, Rob Brekelmans, Aram Galstyan, Greg Ver Steeg