Jacob Reinhold

intensity-normalization. Normalize MR image intensities in Python

niftidataset. pytorch dataset class for reading and transforming NIfTI files

synthtorch. deep neural network-based image translation/synthesis

counterfactualms. counterfactuals for magnetic resonance images of multiple sclerosis

selfsupervised3d. methods to support self-supervised learning with 3D images

pyrobex. python bindings for ROBEX brain extraction

pymedio. read arbitrary medical image formats with python

tiramisu-brulee. A 2D and 3D PyTorch implementation of the Tiramisu CNN

lesion-metrics. metrics for evaluating lesion segmentations

lean-rs. Rust bindings for Lean 4

uncertaintorch. uncertainty-based synthesis and segmentation in pytorch

sga. English LLM-based translation of Grothendieck's SGA

annom. anomaly detection support for synthesis in pytorch

replica. synthesize MR brain images via a random forest

msseg. Multiple sclerosis T2 lesion segmentation

synthit. an amalgam of (non-DNN-based) MR brain synthesis routines

lesionqc. calculate quality metrics for lesion segmentation results

ega. English LLM-based translation of Grothendieck's EGA