Yixue Feng

Orcid: 0000-0003-1015-4209

Affiliations:
  • University of Southern California, CA, USA
  • University of Pennsylvania, School of Engineering and Applied Science, Philadelphia, PA, USA (former)
  • University of Virginia, Department of Computer Science, Charlottesville, VA, USA (former)


According to our database1, Yixue Feng authored at least 16 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Assessing the Influence of Tractography Methods on Detected White Matter Microstructure in Alzheimers Disease.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Evaluating Sample-Size Efficiency and Sensitivity of Tractometry in Alzheimer's Disease.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025
Deterministic versus Probabilistic Tractography: Impact on White Matter Bundle Shape.
Proceedings of the 21st International Symposium on Biomedical Image Processing and Analysis, 2025

White Matter Tract Vulnerability to Amyloid Pathology on the Alzheimer's Disease Continuum.
Proceedings of the 21st International Symposium on Biomedical Image Processing and Analysis, 2025

Streamline Density Normalization: A Robust Approach to Mitigate Bundle Variability in Multi-site Diffusion MRI.
Proceedings of the Computational Diffusion MRI - 16th International Workshop, 2025

2024
Evaluating MedDRA-to-ICD terminology mappings.
BMC Medical Informatics Decis. Mak., January, 2024

Comparison of Explainable AI Models for MRI-Based Alzheimer's Disease Classification.
Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024

BundleAGE: Predicting White Matter Age using Along-Tract Microstructural Profiles from Diffusion MRI.
Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024

Brain Age Analysis and Dementia Classification using Convolutional Neural Networks trained on Diffusion MRI: Tests in Indian and North American Cohorts.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Bundle Analytics based Data Harmonization for Multi-Site Diffusion MRI Tractometry.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Deep Normative Tractometry for Identifying Joint White Matter Macro- and Micro-structural Abnormalities in Alzheimer's Disease.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023
BundleCleaner: Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography Data.
Proceedings of the Computational Diffusion MRI - 14th International Workshop, 2023

Variational Autoencoders for Generating Synthetic Tractography-Based Bundle Templates in a Low-Data Setting.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment.
BMC Bioinform., 2022

2020
Deep Multiview Learning to Identify Population Structure with Multimodal Imaging.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
Enabling Smartphone-based Estimation of Heart Rate.
CoRR, 2019


  Loading...