Xue Feng
Orcid: 0000-0002-2181-9889Affiliations:
- University of Virginia, Charlottesville, USA
According to our database1,
Xue Feng
authored at least 24 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
EXACT-Net: EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy.
CoRR, 2024
2023
J. Imaging Inform. Medicine, 2023
Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization.
CoRR, 2023
C<sup>3</sup>-Net: Complex-Valued Cascading Cross-Domain Convolutional Neural Network for Reconstructing Undersampled CMR Images.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023
2022
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data.
npj Digit. Medicine, 2022
Medical Image Anal., 2022
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.
Medical Image Anal., 2022
Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation.
Neurocomputing, 2022
2021
IEEE Trans. Medical Imaging, 2021
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge.
IEEE Trans. Medical Imaging, 2021
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge.
NeuroImage, 2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
CoRR, 2021
Brain Tumor Segmentation with Patch-Based 3D Attention UNet from Multi-parametric MRI.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features.
Frontiers Comput. Neurosci., 2020
Patch-Based 3D UNet for Head and Neck Tumor Segmentation with an Ensemble of Conventional and Dilated Convolutions.
Proceedings of the Head and Neck Tumor Segmentation - First Challenge, 2020
Automatic Scar Segmentation from DE-MRI Using 2D Dilated UNet with Rotation-Based Augmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Prostate Segmentation From 3D Mri Using A Two-Stage Model and Variable-Input Based Uncertainty Measure.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
A Self-Adaptive Network for Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Sequences.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Brain Tumor Segmentation with Uncertainty Estimation and Overall Survival Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
A Self-Adaptive Network For Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Protocols.
CoRR, 2018
Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
2015
Rapid 3D dynamic arterial spin labeling with a sparse model-based image reconstruction.
NeuroImage, 2015