A foundation for systematic analysis of transformers and RNNs for tractography
cs.LG, eess.IV, q-bio.NC
Submitted: 2026-10-01
Updated: 2026-10-01
Code: https://github.com/imeka/mi-brain
Terminology
Sources
- Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation
- Modeling the Shape of the Brain Connectome via Deep Neural Networks
- $E(3) \times SO(3)$-Equivariant Networks for Spherical Deconvolution in Diffusion MRI
- BrainSegNet : A Segmentation Network for Human Brain Fiber Tractography Data into Anatomically Meaningful Clusters
- DDTracking: A Deep Generative Framework for Diffusion MRI Tractography with Streamline Local-Global Spatiotemporal Modeling
- atTRACTive: Semi-automatic white matter tract segmentation using active learning
- Sequence Level Training with Recurrent Neural Networks
- Generalization in Generation: A closer look at Exposure Bias
- TractoTransformer: Diffusion MRI Streamline Tractography using CNN and Transformer Networks
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