EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.

We present a comprehensive and deep review of the HFM in challenges, opportunities, and future directions. The released paper: https://arxiv.org/abs/2404.03264

ICLR 2024 spotlight

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

Code for paper: Simple and Robust Loss Design for Multi-Label Learning with Missing Labels

Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images - CVPR 2023

DeepBeat: Multi-task deep learning for cardiac rhythm detection in wearable devices

The project is about applying CNNs to EEG data from CHB-MIT to predict seizure

Machine learning on the CHB-MIT scalp EEG database

[AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer".

[PMLR ML4H 2023] Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report

Official code for "LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation"

Awesome resources for artificial intelligence in cardiology

Converting real-time EEG into sounds, music and visual effects

NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.

Official Implementation of Mockingjay in Pytorch

[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models

[EACL 2023] Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?

Meta-Transformer for Unified Multimodal Learning

Practical cardiac events intelligent diagnostic algorithm for wearable 12-lead ECG via self-supervised learning on large-scale dataset

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

🦜🔗 Build context-aware reasoning applications

ImageBind One Embedding Space to Bind Them All