Xiao's repositories

MINC-autoreg-developer

A light version of MINC-autoreg that provides a special version of minctracc that performs 2D multi-slice to 3D volume image registration.

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caffe

Caffe: a fast open framework for deep learning.

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ConvertToMincOBJ

The script converts common wavefront .obj file to minc .obj format

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MedImageProcessing

Personal tools for medical image processing

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Patch-Based-Texture-Synthesis

It's an implementation of Efros and Freeman's "Image Quilting and Texture Synthesis" 2001

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7TBEaST

Adapt the BEaST skull stripping method for 7T MRI as a BIDS app

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cbrain

CBRAIN is a flexible Ruby on Rails framework for accessing and processing of large data on high-performance computing infrastructures.

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conp-dataset

A DataLad dataset for CONP

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experiments_with_k-Wave

Experiments with k-wave.org and octave

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leapjs

JavaScript client for the Leap Motion Controller

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lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

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minc-bpipe-library

Library of bpipe implemented commands commonly applied to minc datafiles, suitable for importing into other pipelines

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MRtrix3Tissue

MRtrix3Tissue adds capabilities for 3-Tissue CSD modelling and analysis to a complete version of MRtrix3.

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playground

Play with neural networks!

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prepT2space

preprocessing for 7T 3D T2 SPACE data

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pyLAR

This repository contains python implementations on Low-rank Atlas-to-image Registration framework and its applications in medical image analysis and computer vision.

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Sandbox

This is a repository to be during PerkLab bootcamps for learning using Git

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SIFT3D

Analogue of the scale-invariant feature transform (SIFT) for three-dimensional images. Includes an image processing and linear algebra library with feature matching and RANSAC regression. Also includes IO functions supporting a variety of image formats.

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SlicerLeapMotionControl

Control 3D Slicer using the LeapMotion controller

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srez

Image super-resolution through deep learning

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TensorFlow-Examples

TensorFlow tutorials and code examples for beginners

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