AyushiSinha
Senior scientist @ Philips Research | PhD @johnshopkins | Ugrad @ProvCol | medical image analysis | shape modeling | deformable registration | tennis enthusiast
Philips @philips-internal Cambridge
AyushiSinha's Stars
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
jcjohnson/neural-style
Torch implementation of neural style algorithm
alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
OpenMined/PySyft
Perform data science on data that remains in someone else's server
awesome-NeRF/awesome-NeRF
A curated list of awesome neural radiance fields papers
ANTsX/ANTs
Advanced Normalization Tools (ANTs)
lppllppl920/EndoscopyDepthEstimation-Pytorch
Official Repo for the paper "Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods" (TMI)
jhu-cisst/cisst
JHU ERC CISST Library
nikhil-dce/Transforming-Autoencoder-TF
Tensorflow implementation of "Transforming Autoencoders" (Proposed by G.E.Hinton, et al.)
neurodata/ndstore
code for storing neurodata images and image annotations
JHUVisionLab/multi-modal-regression
Models and Loss functions for our Mixed Classification-Regression framework for 3D Pose Estimation
BenLangmead/seq-frontiers-class
Code, examples, reading list for JHU Frontiers of Sequencing Data Analysis class
sbillin/IMLP
AyushiSinha/cisstICP
Source code and data for registration algorithms developed within the Most-Likely Point and Deformable Most-Likely Point paradigms
adalca/voxeltalk
Boston Learning in Medical Image Analysis seminar
AyushiSinha/AutoInitialization
Scene matching for automatically initializing video-based registration algorithms
zdavidli/tool-presence
Unsupervised detection of tool presence in endoscopic video frames
IsCoelacanth/TransformingAutoencoder_PyTorch
An open-source PyTorch implementation of the paper "Transforming Autoencoders" by Hinton et.al
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