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cs.CV2025

Unified Brain Surface and Volume Registration

S. Mazdak Abulnaga, Andrew Hoopes, Malte Hoffmann +6

Accurate registration of brain MRI scans is fundamental for cross-subject analysis in neuroscientific studies. This involves aligning both the cortical surface of the brain and the…

cs.CV2025

Pancakes: Consistent Multi-Protocol Image Segmentation Across Biomedical Domains

Marianne Rakic, Siyu Gai, Etienne Chollet +2

A single biomedical image can be meaningfully segmented in multiple ways, depending on the desired application. For instance, a brain MRI can be segmented according to tissue types…

cs.CV2025

AtlasMorph: Learning conditional deformable templates for brain MRI

Marianne Rakic, Andrew Hoopes, S. Mazdak Abulnaga +3

Deformable templates, or atlases, are images that represent a prototypical anatomy for a population, and are often enhanced with probabilistic anatomical label maps. They are commo…

cs.CV2025

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance

Hallee E. Wong, Jose Javier Gonzalez Ortiz, John Guttag +1

Medical researchers and clinicians often need to perform novel segmentation tasks on a set of related images. Existing methods for segmenting a new dataset are either interactive,…

cs.CV2025

BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration

Alan Q. Wang, Rachit Saluja, Heejong Kim +3

We present a keypoint-based foundation model for general purpose brain MRI registration, based on the recently-proposed KeyMorph framework. Our model, called BrainMorph, serves as…

cs.CV2025

MultiMorph: On-demand Atlas Construction

S. Mazdak Abulnaga, Andrew Hoopes, Neel Dey +5

We present MultiMorph, a fast and efficient method for constructing anatomical atlases on the fly. Atlases capture the canonical structure of a collection of images and are essenti…