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Tractometry Part 3 - BUAN - Bundle Shape Similarity Analysis

Talk by Bramsh Chandio, PhD Candidate in the Dept of Intelligent Systems Engineering at Indiana University Bloomington. . Synopsis Bramsh will talk about tract analysis of white matter tracts (tractometry) to find microstructural changes in white matter across different population groups. The talk will be focused on the BUndle ANalytics (BUAN) framework. This session will also feature a BUAN demo applied to Parkinson’s data (PPMI). Ms. Chandio is the inventor of BUAN. Chandio, Bramsh Qamar, et al. "Bundle analytics, a computational framework for investigating the shapes and profiles of brain pathways across populations." Scientific reports 10.1 (2020): 1-18. https://www.nature.com/articles/s4159... More information on: https://dipy.org or https://dipy.org/workshops/dipy-works... Please cite: --------------- Garyfallidis E, Brett M, Amirbekian B, Rokem A, van der Walt S, Descoteaux M, Nimmo-Smith I and Dipy Contributors (2014). DIPY, a library for the analysis of diffusion MRI data. Frontiers in Neuroinformatics, vol.8, no.8. To install: ------------- pip install -U dipy conda install -c conda-forge dipy To ask questions, there is a forum here: ---------------------------------------------------- DIPY Forum: https://github.com/dipy/dipy/discussions To ask quick questions, there is a live chatroom here: ----------------------------------------------------------------------- DIPY Gitter: https://gitter.im/dipy/dipy To report any issues please go here: ------------------------------------------------- DIPY GitHub: https://github.com/dipy/dipy/issues To get recent news via our mailing list ([email protected]): https://mail.python.org/mailman3/list... Follow us on Twitter:   / dipymri   Follow us on Linkedin:   / dipy   #dipy #diffusionimaging #dti #tracking #tractography #diffusionmri #mri #tractometry #connectomics #brain #python #dipymri #microstructure #deeplearning #registration #segmentations #simulation #medical #imaging #brain #machinelearning #signalprocessing Thank you!