3 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
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…
Calibrating Expressions of Certainty
Peiqi Wang, Barbara D. Lam, Yingcheng Liu +5
We present a novel approach to calibrating linguistic expressions of certainty, e.g., "Maybe" and "Likely". Unlike prior work that assigns a single score to each certainty phrase,…
Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series
Zeen Chi, Zhongxiao Cong, Clinton J. Wang +6
We present a method for fast biomedical image atlas construction using neural fields. Atlases are key to biomedical image analysis tasks, yet conventional and deep network estimati…
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…