Javier E. Villanueva-Meyer

According to our database1, Javier E. Villanueva-Meyer authored at least 13 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Hyperpolarized [2-<sup>13</sup>C]pyruvate MR molecular imaging with whole brain coverage.
NeuroImage, October, 2023

Comparison of quantitative susceptibility mapping methods for iron-sensitive susceptibility imaging at 7T: An evaluation in healthy subjects and patients with Huntington's disease.
NeuroImage, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR, 2023

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.
CoRR, 2023

The University of California San Francisco, Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset.
CoRR, 2023

Clinical validation of rapid GPU-enabled DTI tractography of the brain.
Proceedings of the High Performance Computing for Imaging 2023, 2023

2022
Federated Learning Enables Big Data for Rare Cancer Boundary Detection.
CoRR, 2022

2021
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients.
CoRR, 2021

The University of California San Francisco Preoperative Diffuse Glioma (UCSF-PDGM) MRI Dataset.
CoRR, 2021

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.
CoRR, 2021

2019
Correction to: Toward Automatic Detection of Radiation-Induced Cerebral Microbleeds Using a 3D Deep Residual Network.
J. Digit. Imaging, 2019

Toward Automatic Detection of Radiation-Induced Cerebral Microbleeds Using a 3D Deep Residual Network.
J. Digit. Imaging, 2019


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