Stars
This repo is a collection of AWESOME things about πMedical Image Registrationπ, including useful materials, papers, code.
ying-fu / CTA-GAN
Forked from yml-bit/CTA-GANsynthesis CTA using CT base GAN model
INSPECT dataset/benchmark paper, accepted by NeurIPS 2023
[ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
Code and models for the paper "The effectiveness of MAE pre-pretraining for billion-scale pretraining" https://arxiv.org/abs/2303.13496
Merlin is a 3D VLM for computed tomography that leverages both structured electronic health records (EHR) and unstructured radiology reports for pretraining.
The official repository for the x-raydar NLP code
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery π§βπ¬
Training anomaly detection model using free-text radiology report.
π [ECCV 2024] GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting
Official repository for the paper "Development of a freely accessible deep learning platform for comprehensive chest X-ray reading: a retrospective multicenter study in the UK"
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Writing AI Conference Papers: A Handbook for Beginners
An open source implementation of CLIP.
3D ResNets for Action Recognition (CVPR 2018)
Code for the CVPR paper "Interactive and Explainable Region-guided Radiology Report Generation"
The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations) to date.
Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography
Awesome Lists for Tenure-Track Assistant Professors and PhD students. (ε©ηζζ/ε士ηηεζε)