PyTorch implementation of the Bounding Box Network (BoBNet) from the ConvNet-Based Localization of Anatomical Structures in 3D Medical Images paper.

ATOMMIC: Advanced Toolbox for Multitask Medical Imaging Consistency

YOLOv10: Real-Time End-to-End Object Detection

Official repository of the xLSTM.

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llama3 implementation one matrix multiplication at a time

Official repository for "AM-RADIO: Reduce All Domains Into One"

Sparsely Annotated Region and Organ Segmentation (SAROS) - A large, heterogeneous, and sparsely annotated segmentation dataset on CT imaging data

Pytorch implementation of RetinaNet object detection.

A deep learning model (Tri2D-Net) for predicting cardiovascular disease risks from lung cancer screening LDCT

MONAI Label is an intelligent open source image labeling and learning tool.

👋 Xplique is a Neural Networks Explainability Toolbox

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Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Image augmentation for machine learning experiments.

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

The official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation

M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

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Data Consistency Toolbox for Magnetic Resonance Imaging

[MICCAI 2023] MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets (an official implementation)

Computed tomography to body composition (Comp2Comp).

A deep learning framework for automated analysis of body composition from abdominal CT

BOA is a segmentation tool of CT scans by the SHIP-AI group (https://ship-ai.ikim.nrw/). Combining the TotalSegmentator and the Body Composition Analysis, this tool is capable of analyzing medical …

S-EFOV: Thoracic CT-based Body Composition Analysis with Semantically Extended FOV

Tile primitives for speedy kernels

Implementation of Alphafold 3 in Pytorch