6 citations · 11 across the 11 of their papers we have counts for
9 papers · 1 filter
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…
Equivariant symmetry-aware head pose estimation for fetal MRI
Ramya Muthukrishnan, Borjan Gagoski, Aryn Lee +4
We present E(3)-Pose, a novel fast pose estimation method that jointly and explicitly models rotation equivariance and object symmetry. Our work is motivated by the challenging pro…
Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation
Sebastian Diaz, Benjamin Billot, Neel Dey +5
Fetal motion is a critical indicator of neurological development and intrauterine health, yet its quantification remains challenging, particularly at earlier gestational ages (GA).…
Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose
Yingcheng Liu, Peiqi Wang, Sebastian Diaz +4
Analyzing fetal body motion and shape is paramount in prenatal diagnostics and monitoring. Existing methods for fetal MRI analysis mainly rely on anatomical keypoints or volumetric…
Spatial regularisation for improved accuracy and interpretability in keypoint-based registration
Benjamin Billot, Ramya Muthukrishnan, Esra Abaci-Turk +4
Unsupervised registration strategies bypass requirements in ground truth transforms or segmentations by optimising similarity metrics between fixed and moved volumes. Among these m…
Learning General-Purpose Biomedical Volume Representations using Randomized Synthesis
Neel Dey, Benjamin Billot, Hallee E. Wong +5
Current volumetric biomedical foundation models struggle to generalize as public 3D datasets are small and do not cover the broad diversity of medical procedures, conditions, anato…
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series
Yingcheng Liu, Neerav Karani, Neel Dey +5
The placenta plays a crucial role in fetal development. Automated 3D placenta segmentation from fetal EPI MRI holds promise for advancing prenatal care. This paper proposes an effe…
Equivariant Filters for Efficient Tracking in 3D Imaging
Daniel Moyer, Esra Abaci Turk, P Ellen Grant +2
We demonstrate an object tracking method for 3D images with fixed computational cost and state-of-the-art performance. Previous methods predicted transformation parameters from con…