Andrew Hoopes

Orcid: 0000-0002-7583-5972

According to our database1, Andrew Hoopes 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
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging, March, 2023

Anatomy-aware and acquisition-agnostic joint registration with SynthMorph.
CoRR, 2023

Anatomy-specific acquisition-agnostic affine registration learned from fictitious images.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022
SynthStrip: skull-stripping for any brain image.
NeuroImage, 2022

An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation.
CoRR, 2022

Learning the Effect of Registration Hyperparameters with HyperMorph.
CoRR, 2022

TopoFit: Rapid Reconstruction of Topologically-Correct Cortical Surfaces.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021
A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images.
NeuroImage, 2021

Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels.
CoRR, 2021

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR, 2021

HyperMorph: Amortized Hyperparameter Learning for Image Registration.
Proceedings of the Information Processing in Medical Imaging, 2021

2020
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2019
PSACNN: Pulse sequence adaptive fast whole brain segmentation.
NeuroImage, 2019


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