Andrew Hoopes
Orcid: 0000-0002-7583-5972
According to our database1,
Andrew Hoopes
authored at least 13 papers
between 2019 and 2023.
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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
CoRR, 2023
Anatomy-specific acquisition-agnostic affine registration learned from fictitious images.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
2022
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation.
CoRR, 2022
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
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