Star-convex shapes arise across bio-microscopy and radiology in the form...
The segment-anything model (SAM), was introduced as a fundamental model ...
The combination of the U-Net based deep learning models and Transformer ...
Deep convolutional neural networks (CNNs) have been widely used for medi...
Blood oxygen level dependent (BOLD) MRI with maternal hyperoxia can asse...
Volumetric reconstruction of fetal brains from multiple stacks of MR sli...
Most deep learning models for temporal regression directly output the
es...
We present a volumetric mesh-based algorithm for parameterizing the plac...
Fetal motion is unpredictable and rapid on the scale of conventional MR ...
We demonstrate an object tracking method for 3D images with fixed
comput...
Fetal MRI is heavily constrained by unpredictable and substantial fetal
...
Fetal brain MRI is useful for diagnosing brain abnormalities but is
chal...
Brain age prediction based on children's brain MRI is an important bioma...
Skullstripping is defined as the task of segmenting brain tissue from a ...
We present a volumetric mesh-based algorithm for flattening the placenta...
We present a robust method to correct for motion in volumetric in-utero ...
Web browsers are increasingly used as middleware platforms offering a ce...