HyTract: Advancing tractography for neurosurgical planning with a hybrid method integrating neural networks and a path search algorithm.

Korycinski M, Ciecierski KA, Niewiadomska-Szynkiewicz E

Open source

DOI
10.1016/j.neunet.2025.107624
Published
2025 Oct
Container
Neural networks : the official journal of the International Neural Network Society
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.neunet.2025.107624,
  title = {HyTract: Advancing tractography for neurosurgical planning with a hybrid method integrating neural networks and a path search algorithm.},
  author = {Korycinski M and Ciecierski KA and Niewiadomska-Szynkiewicz E},
  year = {2025},
  journal = {Neural networks : the official journal of the International Neural Network Society},
  doi = {10.1016/j.neunet.2025.107624},
  url = {https://doi.org/10.1016/j.neunet.2025.107624}
}

RIS

TY  - JOUR
TI  - HyTract: Advancing tractography for neurosurgical planning with a hybrid method integrating neural networks and a path search algorithm.
AU  - Korycinski M
AU  - Ciecierski KA
AU  - Niewiadomska-Szynkiewicz E
PY  - 2025
JO  - Neural networks : the official journal of the International Neural Network Society
DO  - 10.1016/j.neunet.2025.107624
UR  - https://doi.org/10.1016/j.neunet.2025.107624
ER  - 

APA

M, K., KA, C., & E, N. (2025). HyTract: Advancing tractography for neurosurgical planning with a hybrid method integrating neural networks and a path search algorithm.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2025.107624

Source records