9 citations · 23 across the 5 of their papers we have counts for
5 papers
Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D Detection Network
Junxiong Yu, Chaoyu Chen, Xin Yang +4
Automated breast ultrasound (ABUS) is a new and promising imaging modality for breast cancer detection and diagnosis, which could provide intuitive 3D information and coronal plane…
Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI
Jinwei Zhang, Hang Zhang, Alan Wang +5
The previously established LOUPE (Learning-based Optimization of the Under-sampling Pattern) framework for optimizing the k-space sampling pattern in MRI was extended in three fold…
Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping
Jinwei Zhang, Hang Zhang, Mert Sabuncu +3
A learning-based posterior distribution estimation method, Probabilistic Dipole Inversion (PDI), is proposed to solve quantitative susceptibility mapping (QSM) inverse problem in M…
Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation
Xin Yang, Na Wang, Yi Wang +4
Segmenting left atrium in MR volume holds great potentials in promoting the treatment of atrial fibrillation. However, the varying anatomies, artifacts and low contrasts among tiss…
Dipole Incompatibility Related Artifacts in Quantitative Susceptibility Mapping
Liangdong Zhou, Jae Kyu Choi, Youngwook Kee +2
Artifacts in quantitative susceptibility mapping (QSM) are analyzed to establish an optimal design criterion for QSM inversion algorithms. The magnetic field data is decomposed int…