BrainWeb: Multimodal models of 20 normal brains
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Updated
Sep 7, 2026 - Python
BrainWeb: Multimodal models of 20 normal brains
LION: Lesion Segmentation. Simplified.
A Journey Toward Understanding: SICP → SICM → FDG learning monorepo with functional notation (code = math)
Single-subject dynamic FDG PET workflow with motion correction, SUVR, PETPVE12 partial-volume correction, regional analysis, and PSF QC.
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.
Code release for whole-body FDG PET/CT lesion segmentation and feature analysis
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