mlsanityData to 14 Oct 2026

TractSeg - Fast and accurate white matter tract segmentation

arXiv 1805.07103 ↗First posted 18 May 2018cs.CV eess.IVcited by 52

Not on the map. Why?

Abstract (arXiv)

The individual course of white matter fiber tracts is an important key for analysis of white matter characteristics in healthy and diseased brains. Uniquely, diffusion-weighted MRI tractography in combination with region-based or clustering-based selection of streamlines allows for the in-vivo delineation and analysis of anatomically well known tracts. This, however, currently requires complex, computationally intensive and tedious-to-set-up processing pipelines. TractSeg is a novel convolutional neural network-based approach that directly segments tracts in the field of fiber orientation distribution function (fODF) peaks without requiring tractography, image registration or parcellation. We demonstrate in 105 subjects from the Human Connectome Project that the proposed approach is much faster than existing methods while providing unprecedented accuracy. The code and data are openly available at https://github.com/MIC-DKFZ/TractSeg/ and https://doi.org/10.5281/zenodo.1088277, respectively.

Key facts. Cited by 52 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 May 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 3; 2022: 8; 2023: 13; 2024: 9; 2025: 12; 2026: 7.

52 papers.

Sort:

By area:

  1. 2022Superficial White Matter Analysis: An Efficient Point-cloud-based Deep Learning Framework with Supervised Contrastive Learning for Consistent Tractography Parcellation across Populations and dMRI Acquisitionscited by 20
  2. 2021Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellationcited by 16
  3. 2022Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellationcited by 14
  4. 2022SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learningcited by 13
  5. 2021Fast and Scalable Optimal Transport for Brain Tractogramscited by 12
  6. 2023TractCloud: Registration-free tractography parcellation with a novel local-global streamline point cloud representationcited by 11
  7. 2024Diffusion MRI with Machine Learningcited by 11
  8. 2023Reconstructing the somatotopic organization of the corticospinal tract remains a challenge for modern tractography methodscited by 7
  9. 2023One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentationcited by 5
  10. 2024Field-of-View Extension for Brain Diffusion MRI via Deep Generative Modelscited by 5
  11. 2022FIESTA: Autoencoders for accurate fiber segmentation in tractographycited by 4
  12. 2023A Registration- and Uncertainty-based Framework for White Matter Tract Segmentation With Only One Annotated Subjectcited by 4
38 more
  1. 2024FOD-Swin-Net: angular super resolution of fiber orientation distribution using a transformer-based deep modelcited by 4
  2. 2024A Novel Deep Learning Tractography Fiber Clustering Framework for Functionally Consistent White Matter Parcellation Using Multimodal Diffusion MRI and Functional MRIcited by 4
  3. 2021Knowledge Transfer for Few-shot Segmentation of Novel White Matter Tractscited by 3
  4. 2023atTRACTive: Semi-automatic white matter tract segmentation using active learningcited by 3
  5. 2023Recovering high-quality FODs from a reduced number of diffusion-weighted images using a model-driven deep learning architecturecited by 3
  6. 2024Detailed delineation of the fetal brain in diffusion MRI via multi-task learningcited by 3
  7. 2025TractCloud-FOV: Deep Learning-based Robust Tractography Parcellation in Diffusion MRI with Incomplete Field of Viewcited by 3
  8. 2023TBSS++: A novel computational method for Tract-Based Spatial Statisticscited by 2
  9. 2023BundleSeg: A versatile, reliable and reproducible approach to white matter bundle segmentationcited by 2
  10. 2024Anatomically Constrained Tractography of the Fetal Braincited by 2
  11. 2024Multi-Modality Conditioned Variational U-Net for Field-of-View Extension in Brain Diffusion MRIcited by 2
  12. 2025MultiCo3D: Multi-Label Voxel Contrast for One-Shot Incremental Segmentation of 3D Neuroimagescited by 2
  13. 2025DDTracking: A Deep Generative Framework for Diffusion MRI Tractography with Streamline Local-Global Spatiotemporal Modelingcited by 2
  14. 2022Assessing Streamline Plausibility Through Randomized Iterative Spherical-Deconvolution Informed Tractogram Filteringcited by 1
  15. 2022DeepRGVP: A Novel Microstructure-Informed Supervised Contrastive Learning Framework for Automated Identification Of The Retinogeniculate Pathway Using dMRI Tractographycited by 1
  16. 2022Supervised Tractogram Filtering using Geometric Deep Learningcited by 1
  17. 2023Direct segmentation of brain white matter tracts in diffusion MRIcited by 1
  18. 2024Streamline tractography of the fetal brain in utero with machine learningcited by 1
  19. 2024Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imagingcited by 1
  20. 2025TractoGPT: A GPT architecture for White Matter Segmentationcited by 1
  21. 2025A Novel Streamline-based diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detectioncited by 1
  22. 2025Exploring the robustness of TractOracle methods in RL-based tractographycited by 1
  23. 2025Tractography-Guided Dual-Label Collaborative Learning for Multi-Modal Cranial Nerves Parcellationcited by 1
  24. 2025DMVFC: Deep Learning Based Functionally Consistent Tractography Fiber Clustering Using Multimodal Diffusion MRI and Functional MRIcited by 1
  25. 2026SIINR: Structurally Informed Implicit Neural Representations for super-resolution with uncertainty quantification of clinical quality diffusion MRI datasetscited by 1
  26. 2022An overview of deep learning in medical imagingcited by 0
  27. 2023GeoLab: Geometry-based Tractography Parcellation of Superficial White Mattercited by 0
  28. 2023Bundle-specific Tractogram Distribution Estimation Using Higher-order Streamline Differential Equationcited by 0
  29. 2023Merging multiple input descriptors and supervisors in a deep neural network for tractogram filteringcited by 0
  30. 2023Better Generalization of White Matter Tract Segmentation to Arbitrary Datasets with Scaled Residual Bootstrapcited by 0
  31. 2025DeepMultiConnectome: Deep Multi-Task Prediction of Structural Connectomes Directly from Diffusion MRI Tractographycited by 0
  32. 2025Convergent and divergent connectivity patterns of the arcuate fasciculus in macaques and humanscited by 0
  33. 2025Visionerves: Automatic and Reproducible Hybrid AI for Peripheral Nervous System Recognition Applied to Endometriosis Casescited by 0
  34. 2025A Novel Dual-Stream Framework for dMRI Tractography Streamline Classification with Joint dMRI and fMRI Datacited by 0
  35. 2026TractRLFusion: A GPT-Based Multi-Critic Policy Fusion Framework for Fiber Tractographycited by 0
  36. 2026TrackletGPT: A Language-like GPT Framework for White Matter Tract Segmentationcited by 0
  37. 2026Diffusion MRI Transformer with a Diffusion Space Rotary Positional Embedding (D-RoPE)cited by 0
  38. 2026A foundation for systematic analysis of transformers and RNNs for tractographycited by 0

50 most cited of 52 All 52 (JSON)