Sometimes these double as a general toolbox, like voxelmorph.

• VoxelMorph
  We introduced learning-based image registration/alignment, including VoxelMorph, SynthMorph, AtlasMorph, HyperMorph, etc, and general utilities.
• Synth*
  In our Synth* line of work we develop a procedural data generation engine to produce synthetic training data that yields methods generalizing reliably across scanners, contrasts, populations, and even modalities. This includes SynthMorph, SynthSeg, SynthStrip, BabySeg, Anatomix
• Automatic segmentation of new data at scale
  We've spearheaded methods for automatic segmentation of new domains/images/regions in new datasets. These include ScribblePrompt
  Interactive medical image segmentation with bounding boxes, clicks and scribbles, UniverSeg -- Universal Medical Image Segmentation from new examples without re-training, - MultiverSeg -- Scalable interactive segmentation of biomedical imaging datasets with in-context guidance, tyche -- multi-rater segmentation at scale, etc
• Topofit
  Learning-basedfitting of surfaces to cerebral cortex in brain MRI
• Thunderpack
  Blazingly fast multi-modal data format
• Hyperlight
  Hypernetworks in Pytorch made easy

Libraries with tools offering support to the sort of research we do

• voxel
  torch-focused general purpose medical volume processing
• neurite
  medical image analysis, mostly in tensorflow/keras for now.
  Related more experimental library: neurite-sandbox
• voxynth
  Synthesizing voxel data, based on the generative modeling in SynthSeg, SynthMorph, SynthStrip, etc

• teramedical
  large-scale medical data processing library, with dataset-specific processing [in conjunction with Sabuncu Lab at Cornell]
• daldata internal library for quickly loading/handling data for torch-based ML projects

• surfa
  General purpose medical image handling and volume processing (general/non-DL)

• matlib
  extensive matlab general purpose libraries

• resources lab resources (internal datasets, etc)
• idealab light jupyters on ideas and tutorials
• dalcalab_resources
  [name TBD?] internal easy-access resources, including data and model supporting utilities, for the dalcalab