Pinned Repositories
Conformal_Mapping
FiberNet
This is work in progress for creating white matter fiber clusters using deep learning methods
Geometry-Reading-list
A curated list of reading material and lecture notes for all things geometry. Mostly focussed on differential and Riemannian geometry with applications to physics, medical imaging and computer vision.
monai-inference-demo
RemoveGadContrast
This is a project in development. The goal is to remove the Gadolinium contrast from brain scans.
SeriesNaming
A expandable framework for series re naming.
SuperResolutionDTI
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
vikashg's Repositories
vikashg/monai-inference-demo
vikashg/SeriesNaming
A expandable framework for series re naming.
vikashg/303-breastdensity-inputshape
MONAI Model Zoo that hosts models in the MONAI Bundle format.
vikashg/Conformal_Mapping
vikashg/aws-healthimaging-samples
Sample projects on working with AWS HealthImaging, an AWS service that allows you to store, analyze, and share medical images in the cloud at petabyte scale.
vikashg/bart-workshop
Material for BART demos.
vikashg/clara-viz
NVIDIA Clara Viz is a platform for visualization of 2D/3D medical imaging data
vikashg/conflare
This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.
vikashg/cucim
vikashg/CV-CUDA
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
vikashg/EvaluatingPrompt2MedImage
Small tools to evaluate Prompt2MedImage
vikashg/hackathon-dataset
Working repository to organize assets for the SIIM Stack
vikashg/holohub
Central repository for applications and operators for Holoscan
vikashg/Machine-Learning-for-Algorithmic-Trading-Second-Edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
vikashg/MIMIC-CLIP
An implementation of CLIP for generating radiology reports on MIMIC Dataset
vikashg/MONAI
AI Toolkit for Healthcare Imaging
vikashg/monai-deploy-app-sdk
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
vikashg/MONAI-model-server
A model server for serving MONAI models
vikashg/niivue
a WebGL2 based medical image viewer. Supports over 30 formats of volumes and meshes.
vikashg/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
vikashg/Pathology
A repository for reading pathology slides
vikashg/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
vikashg/RandomDataset
Generates random datasets for testing and fun
vikashg/serve-monai-model
A torchserver implementation for serving models
vikashg/serving_monai_models
A torchserver implementation for serving models
vikashg/SIIM_2024_CONFLARE_Workshop
Trustworthy Large Language Model
vikashg/TotalSegmentator
Tool for robust segmentation of 104 important anatomical structures in CT images
vikashg/Viewers
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
vikashg/VQVAE-MIMIC
Testing Variational Autoencoder on MIMIC Dataset
vikashg/XrayGPT
XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models.