Name: Pradeep Reddy Raamana
Type: User
Company: University of Pittsburgh
Bio: Neuroscientist trying to bridge the gap between clinic & computer science. Interests: Machine learning, Neuroimaging, Brain disorders, Informatics, Open science
Twitter: Raamana_
Location: Pittsburgh, PA
Blog: crossinvalidation.com
Pradeep Reddy Raamana's Projects
missing data handing: visualize and impute
Missing data visualization module for Python.
Missing Data Imputation for Python
A Python Multiple kernel learning library.
A package for Multiple Kernel Learning in Python
Automated Quality Control and visual reports for Quality Assesment of structural (T1w, T2w) and functional MRI of the brain
medical image visualization library and development toolkit
mrQA: tools for quality assurance in medical imaging datasets, including protocol compliance
Official NetworkX source code repository.
Harmonizing neuroimaging data across scanners and sites
Generic feature extraction package for neuroimaging features (examples include: connectivity from rs-fmri, regional mean fractional anisotropy, structural covariance etc)
A set of notebooks to introduce neuroscientists to concepts in machine learning.
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
Atlas methods and classes for neuroimaging
Python package to access a cacophony of neuro-imaging file formats
Machine learning for NeuroImaging in Python
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
Workflows and interfaces for neuroimaging packages
Numpy main repository
OHBM DIC website
Centralized registry of Jitsi rooms for OHBM 2020 posters.
Schedule and resources from the OHBM Open Science Room: Rome 2019
The over connectivity toolbox inspired by OHBM 2017
Fragments FreeSurfer parcellation annotation in N-equal sized parcels
A large, curated repository of benchmarks for evaluating supervised machine learning algorithms.
An interactive, browser-based graphing library for Python :sparkles:
generic framework to develop protocols, with an initial focus medical imaging acquisition
Preprocessing of single-subject MRI images in pure Python!
Python package to access BIDS datasets
Instant access to many datasets.