Optimizing an Automated Processing Pipeline for Regional Macromolecular Proton Fraction and Volume…

Optimizing non-invasive assessment of gastric activity: a fully automated channel-wise pipeline for multi-electrode electrogastrography
A. Iannone, M. S. Panasiti, S. M. Aglioti +1
bioRxiv28 Oct 2026PreprintCC BYFull textNeurosciencebioRxiv
3D-MAESTRO: A scalable, modular, portable pipeline for automated processing of large-scale volumetric brain microscopy data
C. Laiton, N. Lusk, Y. Browning +27
bioRxiv9 Sep 2026PreprintCC BY-NCFull textNeurosciencebioRxiv
AMP: An Automated Marker Based Motion Capture Processing Pipeline for Kinematic Trajectory Label Scrubbing and Gaps Filling
S. Zhou, R. Casey, J. Walter +1
bioRxiv25 Sep 2026PreprintCC BY-NC-NDFull textSystems & synthetic biologybioRxiv
VesperFlow: An automated pipeline for decoding multisensor data from biologging tags
D. A. Silva, M. Eqbal, L. Broos +1
bioRxiv12 Oct 2026PreprintAll rights reservedFull textBioinformatics & computational biologybioRxiv
An automated pipeline for adult and developmental neuropsychological assessment of executive functions and metacognition based on a multi-layer neuropsychological digital-twin framework
Giovanni Granato, Jordy Di Giulio, Giulia Manzi +6
Scientific Reports13 Oct 2026Peer-reviewedCC BY-NC-ND 4.0Full textNeuroscienceCrossref

Cite

BibTeX

@misc{corrigan2026optimizing,
  title = {{Optimizing an Automated Processing Pipeline for Regional Macromolecular Proton Fraction and Volume Measurements in the Brain}},
  author = {N. M. Corrigan and D. S. Hippe and V. L. Yarnykh},
  howpublished = {bioRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.21.753351},
  url = {https://www.biorxiv.org/content/10.64898/2026.09.21.753351v1},
}

RIS

TY  - UNPB
TI  - Optimizing an Automated Processing Pipeline for Regional Macromolecular Proton Fraction and Volume Measurements in the Brain
AU  - N. M. Corrigan
AU  - D. S. Hippe
AU  - V. L. Yarnykh
PY  - 2026
DA  - 2026/09/21
PB  - bioRxiv
DO  - 10.64898/2026.09.21.753351
UR  - https://www.biorxiv.org/content/10.64898/2026.09.21.753351v1
ER  -

Related

Cite