1 citations · 1 across the 5 of their papers we have counts for
5 papers
Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It
Sebo Diaz, Polina Golland, Elfar Adalsteinsson +1
We present MaskGen, a theoretically grounded and deliberately simple approach for domain generalization in 3D biomedical image segmentation. Modern segmentation models degrade shar…
Volumetrically Consistent Implicit Atlas Learning via Neural Diffeomorphic Flow for Placenta MRI
Athena Taymourtash, S. Mazdak Abulnaga, Esra Abaci Turk +2
Establishing dense volumetric correspondences across anatomical shapes is essential for group-level analysis but remains challenging for implicit neural representations. Most exist…
Aligning Fetal Anatomy with Kinematic Tree Log-Euclidean PolyRigid Transforms
Yingcheng Liu, Athena Taymourtash, Yang Liu +5
Automated analysis of articulated bodies is crucial in medical imaging. Existing surface-based models often ignore internal volumetric structures and rely on deformation methods th…
Rapid patient-specific neural networks for intraoperative X-ray to volume registration
Vivek Gopalakrishnan, David-Dimitris Chlorogiannis, Andrew Abumoussa +6
Advanced navigation techniques in image-guided interventions and surgical robotics require the rapid and precise alignment of 3D preoperative volumes (e.g., CT, MRI) to 2D intraope…
Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI
Sean I. Young, Yaël Balbastre, Bruce Fischl +2
In magnetic resonance imaging (MRI), slice-to-volume reconstruction (SVR) refers to computational reconstruction of an unknown 3D magnetic resonance volume from stacks of 2D slices…