Stars
Repository containing utility scripts for handling various aspects in a DL model training pipeline
Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterative Algorithm.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
A foundation model for universal 3D blood vessel segmentation.
TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox
"Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024) - A Toolbox for CT reconstruction and X-ray Novel View Synthesis
"Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction" (NeurIPS 2024)
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting (SIGGRAPH Asia 2024, TOG)
This is a segmentation pipeline to automatically, and robustly, segment the whole spine in T2w sagittal images.
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
TotalVibeSegmentator: Full Torso Segmentation for the NAKO and UK Biobank in Volumetric Interpolated Breath-hold Examination Body Images
Open Circuit Benchmark OCB and source code for CktGNN (https://openreview.net/forum?id=NE2911Kq1sp).
📔 A LaTeX template for TUM Bachelor/Master theses.
minimal example of rendering the .ply output from gaussian splatting
Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).
Library to compute surface distance based performance metrics for segmentation tasks.
Coding Tutorial Page for MICCAI24's tutorial on implicit neural representations for medical imaging,
Repository linked to publication: "Spatio-temporal neural distance fields for conditional generative modeling of the heart" presented at MICCAI 2024.
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks.This framework enables Claud…
Readable Conditional Denoising Diffusion
Code for ICML 24 paper "Implicit Representations via Operator Learning"
A python/cli tool for binary classification for Spinal Cord and Brain MRI scans using a very light yet accurate ML model.
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…