Major release with the paper

What's Changed

• Implemented a common copyright message for CLI and updated links & email by @sarthakpati in #512
• Change python-test.yml to pass on docs-only by @AlexanderGetka-cbica in #517
• Making the flowchart a bit more generic to showcase inference by @sarthakpati in #514
• Updated install verification logic by @sarthakpati in #520
• Updated implementation for augmentations that need std-dev by @sarthakpati in #521
• Ability to generate multiple training configurations using a specific strategy by @sarthakpati in #525
• Updated patch divisibility logic by @sarthakpati in #523
• Added sanity check for norm_type for non-vgg network architectures by @sarthakpati in #528
• Fixing requirement for SimpleITK for a problematic version by @sarthakpati in #537
• Preprocessing is now working when a random set of metadata columns are present by @sarthakpati in #535
• Added ability to combine classification inference results from different architectures by @sarthakpati in #531
• Added ability to save initial and latest models in addition to best by @sarthakpati in #539
• Latest model is now saved correctly by @sarthakpati in #546
• Consideration of scaling_factor has been moved to loss/metrics by @sarthakpati in #541
• Added ability to specify testing data csv in main cli by @sarthakpati in #545
• added more information for #529 by @sarthakpati in #549
• Add docker docs by @AlexanderGetka-cbica in #550
• Added more details to documentation specifically related to training customization by @sarthakpati in #552
• Added more details about Docker by @sarthakpati in #554
• Separate modelDir and outputDir parameters for inference to cohesiveness by @sarthakpati in #557
• The logs now include metric headers from overall_stats by @sarthakpati in #558
• Fix parseConfig separately from my other PR by @AlexanderGetka-cbica in #561

Full Changelog: 0.0.5...0.0.16