8 citations · 10 across the 6 of their papers we have counts for
6 papers
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…
Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI
Athena Taymourtash, Hamza Kebiri, Ernst Schwartz +6
Resting-state functional Magnetic Resonance Imaging (fMRI) is a powerful imaging technique for studying functional development of the brain in utero. However, unpredictable and exc…
Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data
Daniel Sobotka, Michael Ebner, Ernst Schwartz +8
Motion correction is an essential preprocessing step in functional Magnetic Resonance Imaging (fMRI) of the fetal brain with the aim to remove artifacts caused by fetal movement an…
4D iterative reconstruction of brain fMRI in the moving fetus
Athena Taymourtash, Hamza Kebiri, Sébastien Tourbier +8
Resting-state functional Magnetic Resonance Imaging (fMRI) is a powerful imaging technique for studying functional development of the brain in utero. However, unpredictable and exc…
Quantifying Residual Motion Artifacts in Fetal fMRI Data
Athena Taymourtash, Ernst Schwartz, Karl-Heinz Nenning +5
Fetal functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful tool for investigating brain development in utero, holding promise for generating developmental disease…