Pinned Repositories
3DMMasSTN
MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)
aaip11
latex source for my first paper back in 2011 - poorly written and the reviews were rightfully damning
braincolor
brainCOLOR project: website + optimal colormap designed for brain images
BrainPrint
Python scripts for shape analysis of neuroimaging data (wrapping around shapeDNA and FreeSurfer)
MexConv3D
Matlab mex implementation of the basic operations for 3D (volume) Convolutional Neural Network
MyGit
My First Git Repository
openMorph
Curated list of open-access databases with human structural MRI data
pytorch_geometric
PyTorch Geometric Deep Learning Library
QuickNATv2
Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)
saileshconjeti.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
saileshconjeti's Repositories
saileshconjeti/3DMMasSTN
MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)
saileshconjeti/aaip11
latex source for my first paper back in 2011 - poorly written and the reviews were rightfully damning
saileshconjeti/braincolor
brainCOLOR project: website + optimal colormap designed for brain images
saileshconjeti/BrainPrint
Python scripts for shape analysis of neuroimaging data (wrapping around shapeDNA and FreeSurfer)
saileshconjeti/MexConv3D
Matlab mex implementation of the basic operations for 3D (volume) Convolutional Neural Network
saileshconjeti/MyGit
My First Git Repository
saileshconjeti/openMorph
Curated list of open-access databases with human structural MRI data
saileshconjeti/pytorch_geometric
PyTorch Geometric Deep Learning Library
saileshconjeti/QuickNATv2
Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)
saileshconjeti/saileshconjeti.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
saileshconjeti/SimpleITK-examples
SimpleITK examples for python
saileshconjeti/SparseConvNet
Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.