AyushiSinha

ANTs

Advanced Normalization Tools (ANTs)

AutoInitialization

Scene matching for automatically initializing video-based registration algorithms

cisstICP

Source code and data for registration algorithms developed within the Most-Likely Point and Deformable Most-Likely Point paradigms

FFTLab

Final project for Big Data, Small Languages, Scalable Systems course at JHU: Performs alignment between reads and a reference genome sequence using fast fourier transform

IMLP

medimreg_sc

Deformable Medical Image Registration: Success Classification

ntu_rgb

Code to use the nturgb+d dataset for action recognition

OCP

Part of the Open Connectome Project (NeuroData): This code automatically labels axoplasmic reticula for neuron segmentation merging in neural EM data

open-connectome

code related to EM connectome data hosting, alg-sourcing, etc.

tool-presence

Unsupervised detection of tool presence in endoscopic video frames

AyushiSinha/cisstICP

Source code and data for registration algorithms developed within the Most-Likely Point and Deformable Most-Likely Point paradigms

AyushiSinha/AutoInitialization

Scene matching for automatically initializing video-based registration algorithms

AyushiSinha/medimreg_sc

Deformable Medical Image Registration: Success Classification

AyushiSinha/OCP

Part of the Open Connectome Project (NeuroData): This code automatically labels axoplasmic reticula for neuron segmentation merging in neural EM data

AyushiSinha/FFTLab

Final project for Big Data, Small Languages, Scalable Systems course at JHU: Performs alignment between reads and a reference genome sequence using fast fourier transform

AyushiSinha/tool-presence

Unsupervised detection of tool presence in endoscopic video frames

AyushiSinha/ANTs

Advanced Normalization Tools (ANTs)

AyushiSinha/IMLP

AyushiSinha/ntu_rgb

Code to use the nturgb+d dataset for action recognition

AyushiSinha/open-connectome

code related to EM connectome data hosting, alg-sourcing, etc.

AyushiSinha/ShapeSPH

Shape Spherical Harmonics (Descriptors, Alignment, and Symmetry)