Model: alinc66/gbm-latent-attractors-brats2020
Author: alinc66
Tags: gbm, glioblastoma, autoencoder, pytorch, neural-ode, latent-space, computational-oncology, dataset:BraTS2020, license:mit, region:us
Card metadata: title: Latent Attractor Landscape for GBM Morphodynamics
license: mit
tags: gbm, glioblastoma, autoencoder, pytorch, neural-ode, latent-space, computational-oncology
datasets: BraTS2020
summary: Public implementation of the latent attractor landscape framework for glioblastoma morphodynamics. Includes preprocessing, 3D autoencoder, embedding, stability estimation, attractor identification, voxel-level saliency mapping, and neural ODE latent dynamics.

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Created: 2025-12-01 15:01:32