- Lausanne, Switzerland
- https://www.linkedin.com/in/gwizdala/
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Free-Text Promptable Universal 3D Medical Image Segmentation
Fast Numpy I/O : Fast replacement for numpy.load and numpy.save
Faster C implementation of the bitstruct Python library
CUDA-accelerated texture memory 3D affine transformations with numpy/cupy
N-dimensional linear interpolation on a rectangular grid in C++
Library for multivariate function approximation with splines (B-spline, P-spline, and more) with interfaces to C++, C, Python and MATLAB
Lightweight, multithreaded, MEX-aware C++ header-only template library for parallel calculation of linear, bilinear, and trilinear interpolation.
An ITK module to read and write High-throughput JPEG2000 (HTJ2K) images.
Image transformation, compression, and decompression codecs.
A curated list of awesome resources, papers, datasets, and tools related to AI in radiology. This repository aims to provide a comprehensive collection of materials to facilitate research, learning…
Python implementation of the STAPLE segmentation algorithm
CAAI / HD-CTBET
Forked from MIC-DKFZ/HD-BETMRI brain extraction tool
A python module for scientific analysis of 3D data based on VTK and Numpy
Promtless-TaskSpecific-Finetuning of MetaAI Segment-Anything Model
A high-performance library for compressed ND arrays and columnar tables, with compute and indexing engines
3 dimensional spatial transformations
Segment Anything Model for Medical Image Segmentation: Open-Source Project Summary
From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image Segmentation.
Brain Lesion Analysis and Segmentation Tool for Computed Tomography
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
A lightweight adapter bridges SAM with medical imaging [MedIA]
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Segment Anything in Medical Images