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inHPI-DeepLearning/DIRNet (press backspace or delete to remove)

Firstly, thanks for your code. I have read the original papers, and I found that your code did not cut the original images to patches. which is related the control points for future transform. How can ...
  • qxm1995716
  • Opened 
    on Jun 11, 2020
  • #6

ValueError Traceback (most recent call last) /anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords) ...
  • ghost
  • Opened 
    on Mar 8, 2020
  • #5

Firstly, thanks a lot for sharing the code to us. In the paper End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network , you explain that you use patches to implement ...
  • Adengna
  • 1
  • Opened 
    on Jul 5, 2019
  • #4

Hi, Thanks for the great code. Just made the train work (not evaluated yet), however, I ve got some questions: - Did you run any benchmarks? Any good results? - Why both mxnet and tensorflow? Did ...
  • NoamGit
  • 1
  • Opened 
    on Feb 27, 2019
  • #3

Hi :) Firstly, thanks for letting other people use your code. If you have a moment, I would appreciate if you could answer the question... Why did you stop using an affine transform? . I noticed you ...
  • ChrisBellew
  • 3
  • Opened 
    on Oct 4, 2018
  • #2

Hi, Just a short question: Which transformation is implemented in this DIRnet? Is it a cubic B spline transformation as described in [Nonrigid Registration Using Free-Form Deformations: Application to ...
  • adrianloy
  • 1
  • Opened 
    on Dec 1, 2017
  • #1
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