Julian McGinnis

Orcid: 0009-0000-2224-7600

According to our database1, Julian McGinnis authored at least 9 papers between 2021 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Towards quantitative intensity analysis of conventional T1-weighted images in multiple sclerosis.
NeuroImage, 2025

2024
Image registration is a geometric deep learning task.
CoRR, 2024

SINR: Spline-enhanced implicit neural representation for multi-modal registration.
Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation.
Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2023
Multi-contrast MRI Super-resolution via Implicit Neural Representations.
CoRR, 2023

Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

NISF: Neural Implicit Segmentation Functions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph).
CoRR, 2021

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021


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