Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images
  in Real Time   We present a computational method for real-time, patient-specific simulation
of 2D ultrasound (US) images. The method uses a large number of tracked
ultrasound images to learn a function that maps position and orientation of the
transducer to ultrasound images. This is a first step towards realistic
patient-specific simulations that will enable improved training and
retrospective examination of complex cases. Our models can simulate a 2D image
in under 4ms (well within real-time constraints), and produce simulated images
that preserve the content (anatomical structures and artefacts) of real
ultrasound images.

17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
25
The categories of this paper are: patt-sol
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th