Ibraheem Al-Dhamari
Ibraheem Al-Dhamari
Handling [issue 443](https://github.com/arx-deidentifier/arx/issues/433). If .ahs file is available, it will be used instead of the csv file
I created a [new repository](https://github.com/MedicalImageAnalysisTutorials/SlicerMeshing) to use robust_hex_dominant_meshing in [3D Slicer] (https://www.slicer.org/) There is currently a [discussion](https://github.com/Slicer/ExtensionsIndex/pull/1621) if it should be integrated in Slicer or not. It would be nice...
Thanks for your effort, the tutorial and the code are excellent resources. This is not an issue, rather a suggestion. It would be nice if you add an example for...
I think many things regarding the dataset have been changed (filenames, orientation,..etc), check the updated dataset here: https://github.com/anjany/verse I will try to add a PR to address the new changes.
Based on these [Slicer Wiki](https://slicer.readthedocs.io/en/latest/user_guide/coordinate_systems.html) and [ITK wiki](https://itk.org/Wiki/ITK/MetaIO/Documentation) I think the [direction matrix](https://github.com/christianpayer/MedicalDataAugmentationTool-VerSe/blob/51569f9680e34b0e6dd74bc33587204cf4b2afdf/verse2020/other/preprocess.py#L19 ) used in the code can also be called LPS orientation, not just RAI, it is matter...
In [this line](https://github.com/christianpayer/MedicalDataAugmentationTool/blob/93a88394bdc55f33596e68ea4b76e06427ea6f01/utils/landmark/landmark_statistics.py#L199), when it is called from [get_per_instance_string](https://github.com/christianpayer/MedicalDataAugmentationTool/blob/93a88394bdc55f33596e68ea4b76e06427ea6f01/utils/landmark/landmark_statistics.py#L399), **max_distance** is None. Which is called from [get_overview_string](https://github.com/christianpayer/MedicalDataAugmentationTool-VerSe/blob/51569f9680e34b0e6dd74bc33587204cf4b2afdf/verse2019/training/main_spine_localization.py#L229) overview_string = landmark_statistics.get_overview_string([2, 2.5, 3, 4, 10, 20], 10) # outlier_radii, per_instance_outliers_radius, correct_id_distance=None...
The colab part is out of date! as tensorflow 1 is not supported anymore in google colab!
We tried to build it using Qt, it seems there are missing files. 
I tried to build it under linux (Ubuntu 16) but I get this error: ``` Project ERROR: CHOLMOD (suitesparse) not found! sudo apt-get install libsuitesparse-dev 17:48:18: The process "/usr/bin/qmake-qt4" exited...
It seems jython and vtk are too old from 7 years ago. What should I do to upgrade them? the new [jython 2.7](http://www.jython.org/downloads.html) has code completion and should provide more...