physiopy: open development solutions for physiology in MRI
The physiopy contributors:
Daniel Alcalá, Apoorva Ayyagari, Roza G. Bayrak, Katie Bottenhorn, Molly Bright, Catie Chang, César Caballero-Gaudes,
Inés Chavarría, Niall Duncan, Elizabeth DuPre, Inês Esteves, Vicente Ferrer, Sarah Goodale, Yaroslav Halchenko, Soichi Hayashi,
Vittorio Iacovella, Tomas Lenc, François Lespinasse, Ryan Lim, Neville Magielse, Ross Markello, Mary Miedema, Stefano Moia,
Robert Oostenveld, Marie-Eve Picard, Joana Pinto, David Romero-Bascones, Taylor Salo, Rachael Stickland, Mi Xue Tan,
Eneko Uruñuela, Hao-Ting Wang, Merel van der Thiel, Kristina Zvolanek, & Marcel Zwiers.
physiopy
Raw data
BIDSification
physiological data preprocessing
phys. denoising
phys. imaging
Data acquisition
Process description & knowledge base
MRI-related physiology is still a niche → we need more researchers and clinicians to become interested in the topic. Sharing physiological data following the concepts of Open (Science) Data could improve the exposition of this topic
physiopy
Raw data
phys2bids
peakdet
phys2denoise
phys. imaging
Data acquisition
physiopy's documentation
physioQC
This project focuses on creating a physiological quality control toolbox to help retain or discard physiological data.
physioQC
- Previous hackathons and meetings: planned the toolbox.
- This hackathon: implement a workflow to automatise QC and get textual and image-based outputs, a starting point for QC report.
- All contributions are welcome from any level of contribution!
- We follow the all-contributors specification to report contributions, and adopt physiopy's contributors guide and code of conduct.
Follow the horse on Discord and look for our logo on the tables!
Physiopy HBMBH 2023 Montreal
By Stefano Moia
Physiopy HBMBH 2023 Montreal
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