The Real-Time Interactive 3D-DVA for Robust Coronary MRA. - Todd S. Sachs; Craig H. Meyer; John M. Pauly; Bob S. Hu; Dwight G. Nishimura; Albert Macovski (IEEE Trans. Medical Imaging, 2000)

Spiral Parallel Magnetic Resonance Imaginga. - Craig H. Meyer; Peng Hu (EMBC, 2006)

Rapid 3D dynamic arterial spin labeling with a sparse model-based image reconstruction. - Li Zhao 001; Samuel W. Fielden; Xue Feng 001; Max Wintermark; John P. Mugler III; Craig H. Meyer (NeuroImage, 2015)

Reconstructing high-resolution cardiac MR movies from under-sampled frames. - Liam Cattell; Craig H. Meyer; Frederick H. Epstein; Gustavo K. Rohde (ACSSC, 2017)

Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features. - Xue Feng 001; Nicholas J. Tustison; Craig H. Meyer (BrainLes@MICCAI (2), 2018)

A Self-Adaptive Network For Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Protocols. - Yushan Feng; Huitong Pan; Craig H. Meyer; Xue Feng 001 (CoRR, 2018)

Brain Tumor Segmentation with Uncertainty Estimation and Overall Survival Prediction. - Xue Feng 001; Quan Dou; Nicholas J. Tustison; Craig H. Meyer (BrainLes@MICCAI (1), 2019)

A Self-Adaptive Network for Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Sequences. - Yushan Feng; Huitong Pan; Craig H. Meyer; Xue Feng 001 (ISBI, 2019)

Prostate Segmentation From 3D Mri Using A Two-Stage Model and Variable-Input Based Uncertainty Measure. - Huitong Pan; Yushan Feng; Quan Chen; Craig H. Meyer; Xue Feng 001 (ISBI, 2019)

Choroid Plexus Segmentation Using Optimized 3D U-Net. - Li Zhao 001; Xue Feng 001; Craig H. Meyer; David C. Alsop (ISBI, 2020)

Automatic Scar Segmentation from DE-MRI Using 2D Dilated UNet with Rotation-Based Augmentation. - Xue Feng 001; Christopher M. Kramer; Michael Salerno; Craig H. Meyer (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features. - Xue Feng 001; Nicholas J. Tustison; Sohil H. Patel; Craig H. Meyer (Frontiers Comput. Neurosci., 2020)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 2021)

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. - Alain Lalande; Zhihao Chen 005; Thibaut Pommier; Thomas Decourselle; Abdul Qayyum; Michel Salomon; Dominique Ginhac; Youssef Skandarani; Arnaud Boucher; Khawla Brahim; Marleen de Bruijne; Robin Camarasa; et al. (Medical Image Anal., 2022)

C3-Net: Complex-Valued Cascading Cross-Domain Convolutional Neural Network for Reconstructing Undersampled CMR Images. - Quan Dou; Kang Yan; Sheng Chen; Zhixing Wang; Xue Feng 001; Craig H. Meyer (STACOM@MICCAI, 2023)