América Bueno Gómez

Train with two types of multimodal MRI

1

Hi Jose! First of all, thank you very much for sharing your code, it's a great job. I would like to try it in my own data that is composed...

import SnapshotCallbackBuilder

1

Hi! My name is America and I've seen your snapshot.py function in github. Could you say me in which folder of Anaconda environment I should copy snapshot.py to get run...

Class balanced loss code

2

Hi! First of all, thank you ver much for your code, it's a great work! I would like to know if you could tell me the part where the class-balanced-loss...

Hi! First of all, thank you very much for sharing your code. I would like to know if I could use it with single channel MR images. Thank you!

Elastix parameters use in Simpleitk (Python)

1

Hi! I'm registering medical images via 'import Simpleitk'. I would like to use some parameters that I've seen in elastix documentation (https://elastix.lumc.nl/doxygen/parameter.html). For example, I've tried to use "full" as...

Registering 3d images (nii) Error in ElastixImageFilter_Execute

1

Hi! I'm registering 3d images (.nii). I've registered yet 44 images but when the number 45, the next error message is shown: ``` RuntimeError: Exception thrown in SimpleITK ElastixImageFilter_Execute: C:\SimpleElastix\SimpleElastix\Code\Elastix\src\sitkElastixImageFilterImpl.cxx:259:...

Plot metric values after each iteration

1

Hi! I would like to plot the metric value after each iteration to check that my registration converges. Could you say me how to do that? In Elastix documentation, I...

ZF architecture

1

Hi! Could you tell me what changes in UNET to become ZF unet? Thank you very much!

model.fit step

7

Hi! I would like to know how I should perform the model.fit instruction. model.fit(trainSet, mask_trainSet, batch_size=20, nb_epoch=1, verbose=1,validation_split=0.2, shuffle=True, callbacks=[model_checkpoint])¿? What I write in callback?? And how should I use...

lovasz_hinge as loss function Error

1

Hi!! Firstly, thank you very much for sharing your code. It's a great work! I'm trying to train my model with lovasz_hinge as loss function: model.compile(optimizer =opt,loss= [lovasz_hinge], metrics =...