cwmok Fast-Symmetric-Diffeomorphic-Image-Registration-with-Convolutional-Neural-Networks issues

cwmok / Fast-Symmetric-Diffeomorphic-Image-Registration-with-Convolutional-Neural-Networks

Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks

MIT License

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About the number of non-positive Jacobian determinant

#18 zhenyu202020 closed 1 year ago
7
Reproduce the results in the paper

#17 lintian-a closed 1 year ago
6
The deformed grid not so smooth

#16 xiaorugao999 closed 1 year ago
2
training time is too long

#15 celi7 closed 2 years ago
2
Unable to reproduce results for other dataset: Learn2Reg Challenge 2020 Task 3 (CT Abdominal)

#14 bent1e closed 1 year ago
5
Question about the 0.5 deformation field

#13 iCherishxixixi closed 2 years ago
2
Create show

#12 Ruitao-chen opened 2 years ago
0
how to registrate normal color image, or grayscale image

#11 dzz416 closed 2 years ago
1
Error during training of SYMNet with Oasis data set

#10 Tranquillar closed 2 years ago
11
Hyperparameters about training SYMNet on 2D data.

#9 MingR-Ma closed 2 years ago
4
about dice

#8 1164094277 closed 3 years ago
6
Questions about the loss

#7 1164094277 closed 3 years ago
11
I have some questions want to consult you

#6 1164094277 closed 3 years ago
7
What is range_flow used for?

#5 XXZhou25 closed 3 years ago
4
for the baseline method

#4 luoyi1hao closed 3 years ago
2
Thanks again for your help. Whether the resize /crop operation is for mri/norm.mgz or mri/brain.mgz?

#3 luoyi1hao closed 3 years ago
8
Thank you for providing the code, can you expose the preprocessed dataset

#2 luoyi1hao closed 3 years ago
4
should I change n_classes when training my own data?

#1 tableter closed 3 years ago
1