Andrew Hoopes

PhD Student, Computer Science & Artificial Intelligence Lab, EECS, MIT

Martinos Center for Biomedical Imaging, Massachusetts General Hospital

GitHub| Google Scholar

Publications

SynthStrip: Skull-Stripping for Any Brain Image

Andrew Hoopes, Jocelyn S. Mora, Adrian V. Dalca, Bruce Fischl*, Malte Hoffmann*

NeuroImage 260, 119474. 2022.

Paper Website

Learning the Effect of Registration Hyperparameters with HyperMorph

Andrew Hoopes, Malte Hoffmann, Douglas Greve, John Guttag, Bruce Fischl, Adrian Dalca

MELBA: Journal of Machine Learning for Biomedical Imaging. 2022.

Paper Website Code

TopoFit: Rapid Reconstruction of Topologically-Correct Cortical Surfaces

Andrew Hoopes, Juan Eugenio Iglesias, Bruce Fischl, Douglas Greve*, Adrian Dalca*

In proceedings of MIDL: Medical Imaging with Deep Learning. 2022.

Paper Code

Hypermorph: Amortized Hyperparameter Learning for Image Registration

Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John Guttag, and Adrian Dalca

In proceedings of IPMI: International Conference on Information Processing and Medical Imaging, 12729, pp. 3-17. 2021.

Paper Website Code

A Deep Learning Toolbox for Automatic Segmentation of Subcortical Limbic Structures from MRI Images

Douglas Greve, Benjamin Billot, Devani Cordero, Andrew Hoopes, Malte Hoffmann, Adrian Dalca, Bruce Fischl, Juan Eugenio Iglesias, Jean Augustinack

NeuroImage 244, 118610. 2021.

Paper Code

A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis

Stefano Cerri, Andrew Hoopes, Douglas Greve, Mark Mühlau, Koen Van Leemput

Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, pp. 119-128. 2020.

Paper

PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation

Amod Jog, Andrew Hoopes, Douglas Greve, Koen Van Leemput, Bruce Fischl

NeuroImage 199, 553-569. 2019.

Paper Code