3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation

ustc thesis proposal 中国科学技术大学 开题报告 latex 模板

基于科研论文导向的可视化绘图集锦

BiomedParse: A Foundation Model for Joint Segmentation, Detection, and Recognition of Biomedical Objects Across Nine Modalities

[CVPR 2024 Extension] 160K volumes (42M slices) datasets, new segmentation datasets, 31M-1.2B pre-trained models, various pre-training recipes, 50+ downstream tasks implementation

BPfold: Deep generalizable prediction of RNA secondary structure via base pair motif energy. bioRxiv: https://doi.org/10.1101/2024.10.22.619430

Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders

Official PyTorch Implementation of "The Hidden Attention of Mamba Models"

How to use wandb?

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

Kolmogorov-Arnold Transformer: A PyTorch Implementation with CUDA kernel

Google Research

Official implementation of "APPLE: Fair Medical Segmentation via Adversarial Protected-attribute-aware Perturbations on Latent Embeddings"

Reproduce CKA: Similarity of Neural Network Representations Revisited

List of pathology feature extractors and foundation models

[MICCAI-2022] This is the official implementation of Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training.

repository for Publicly Available Clinical BERT Embeddings

Code snippets for "Swin SMT: Global Sequential Modeling for Enhancing 3D Medical Image Segmentation"

A repo for Masked Image Modeling for 3D Medical Images

[ECCV 2024] ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image

MambaMIM: Pre-training Mamba with State Space Token-interpolation

assistant tools for attention visualization in deep learning

医学影像数据集列表 『An Index for Medical Imaging Datasets』

This is an official implementation for "ResT: An Efficient Transformer for Visual Recognition".

[MICCAI 2024] HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training

[CVPR 2024] VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis

[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis