Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: One Network to Solve Them All: A Sequential Multi-Task Joint Learning
  Network Framework for MR Imaging Pipeline   Magnetic resonance imaging (MRI) acquisition, reconstruction, and
segmentation are usually processed independently in the conventional practice
of MRI workflow. It is easy to notice that there are significant relevances
among these tasks and this procedure artificially cuts off these potential
connections, which may lead to losing clinically important information for the
final diagnosis. To involve these potential relations for further performance
improvement, a sequential multi-task joint learning network model is proposed
to train a combined end-to-end pipeline in a differentiable way, aiming at
exploring the mutual influence among those tasks simultaneously. Our design
consists of three cascaded modules: 1) deep sampling pattern learning module
optimizes the $k$-space sampling pattern with predetermined sampling rate; 2)
deep reconstruction module is dedicated to reconstructing MR images from the
undersampled data using the learned sampling pattern; 3) deep segmentation
module encodes MR images reconstructed from the previous module to segment the
interested tissues. The proposed model retrieves the latently interactive and
cyclic relations among those tasks, from which each task will be mutually
beneficial. The proposed framework is verified on MRB dataset, which achieves
superior performance on other SOTA methods in terms of both reconstruction and
segmentation.

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The categories of this paper are: plasm-ph
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The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th
32
The categories of this paper are: atom-ph
14
The categories of this paper are: math-ph
30
The categories of this paper are: q-alg
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The categories of this paper are: hep-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: hep-th
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The categories of this paper are: solv-int
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The categories of this paper are: gr-qc
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The categories of this paper are: funct-an