In this Python3 code example, a set of MRI images from one scanning session is resampled to match the imaging axis of a reference scan. The DICOM images are handled using PyDICOM. The resampling function is implemented using SimpleITK.

An example use case for this code example is as follows. Consider two MRI scans, A and B, with scan A imaged along the sagittal (longitudinal) plane and scan B along the axial (horizontal) plane.

If the reference image is set as scan A, then the scan B images will be transformed to appear as image slices along the sagittal plane; instead of the original axial plane used during the scan acquisition.

Similarly, ​if the reference image is set as scan B, then the scan A images will be transformed to appear as image slices along the axial plane; instead of the original sagittal plane used during the scan acquisition.

​The example notebook is hosted in Kaggle. The MRI scans used in this notebook are from the RSNA MICCAI brain tumor classification dataset.

This blog article on Twitter saliency filter analysis introduces a few broad concepts to test machine vision tools. Described here is an end-to-end automated statistical analysis tool that is used to analyze the Twitter saliency filter​.​ The aim is to accelerate the development of scalable, automated testing of machine vision algorithms for possible biases. 

In this code example using Python3, the subprocess library is used to run linux shell commands inside a Python3 program.

In this code example using Python3, the pydicom library is used to handle the DICOM X-Ray images

​In this post, a simple Bayesian evaluation of Fort Detrick as the possible source of SARS-CoV2 is performed using public information.

A new branch called 'main' is created using the 'git branch [branch] [newbranch]' command. By passing the '-m ' argument to this git branch management command, the commit histories are copied to the new branch.

 One of the common mistakes made by decision makers during the process of incorporating artificial intelligence into their enterprise, is attempting to view artificial intelligence as either good or bad. I want to explain here why this approach could be an indication of fundamental ignorance about artificial intelligence systems.

 Bazel is the build and test automation tool from Google. It is touted as a fast, scalable, multi-language and extensible build system. Bazel is needed to create Tensorflow installers from the source-code. Here are the steps to install Bazel in Linux, from the source-code. The technique described here uses the bootstrap installation that does not require a pre-existing Bazel installation in the target system.

Working with large datasets in Python can often result in memory utilization issues. To reduce the memory utilization, the variables that are no longer immediately needed can be written to the disk. These variables can then be removed from the memory, thereby reducing the memory utilization. When these variables are needed at a later stage in the program, it can be easily restored from the disk. This strategy works for majority of the use cases, where the disk space is cheaper and more readily available than the main memory. In Python, restoring  a variable from the disk can be efficiently handled using Pickle.  Here is a concise Python3 code example for using Pickle to manage memory utilization, by using the strategy of restoring a variable from the disk.