christianpayer

I also experienced the same or at least a similar problem a couple of times. I will describe shortly what is happening: I am running a Nextcloud server on raspbian,...

Hi, thanks for using our code! Regarding inference runtime, the algorithm and framework are not optimized at all. I think a bottleneck there is the image loading, preprocessing (gaussian smoothing...

The files are correct. In medical image files, there additional metadata that defines the physical size of a pixel. In this case, the file is anisotropic, i.e., there is a...

Activation(None, dtype='float32') just makes a cast of the input tensor to the datatype tf.float32. This is needed (and suggested), when tensorflow uses mixed precision. See the TF mixed precision guide...

The .pickle files contain the landmark offset statistics that are needed for the MRF. The file `analyze_relative_landmarks.py` can be used to generate these files for the verse2020 dataset. Generating these...

Yes, you can use these .pickle files for the prediction.

The dataset preprocessing is performed to bring every image to the same orientation, i.e., RAI, for easier subsequent processing within the framework. RAI is the orientation, where the direction matrix...

Hi, the dataset is from the CSI 2014 challenge (http://csi-workshop.weebly.com/challenges.html). It seems that the links on the website to the data are not working anymore. I got an updated link...

The scripts for the cep dataset should perform validation/testing after specific step intervals during training and after the last iteration. So if you just ran the scripts, the cross validation...

Hi, thanks for your interest in this. To see how our network manage to learn the optimal sigma peak width, look at the spine localization experiment. Most parts are in...