Semi-supervised learning (SSL) methods, which can leverage a large amoun...
Formalizing surgical activities as triplets of the used instruments, act...
Phase recognition plays an essential role for surgical workflow analysis...
Three-dimensional (3D) integrated renal structures (IRS) segmentation is...
Registration plays an important role in medical image analysis. Deep
lea...
Segmentation of 3D knee MR images is important for the assessment of
ost...
Context-aware decision support in the operating room can foster surgical...
This paper strives to generate a synthetic computed tomography (CT) imag...
Unsupervised domain adaptation (UDA) for cross-modality medical image
se...
Nonlinear regression has been extensively employed in many computer visi...
Quantification of cerebral white matter hyperintensities (WMH) of presum...
Knowledge of whole heart anatomy is a prerequisite for many clinical
app...
Convolutional Neural Networks (CNNs) have achieved state-of-the-art
perf...
International challenges have become the standard for validation of
biom...
We present a method to address the challenging problem of segmentation o...
We present a method to address the challenging problem of segmentation o...