Resources
Challenge Open Access
Robust Detection of Heart Beats in Multimodal Data: The PhysioNet/Computing in Cardiology Challenge 2014
This challenge aims to encourage the exploration of robust methods for locating heart beats in continuous long-term data from bedside monitors and similar devices that record not only ECG but usually other physiologic signals as well, including puls…
Published: Jan. 7, 2014. Version: 1.0.0
Database Credentialed Access
Symile-MIMIC: a multimodal clinical dataset of chest X-rays, electrocardiograms, and blood labs from MIMIC-IV
Adriel Saporta, Aahlad Manas Puli, Mark Goldstein, Rajesh Ranganath
database cxr ecg chest x-ray contrastive learning model multimodal mimic electrocardiogram
Published: Jan. 28, 2025. Version: 1.0.0
Database Credentialed Access
MIMIC-Ext-MIMIC-CXR-VQA: A Complex, Diverse, And Large-Scale Visual Question Answering Dataset for Chest X-ray Images
Seongsu Bae, Daeun Kyung, Jaehee Ryu, Eunbyeol Cho, Gyubok Lee, Sunjun Kweon, Jungwoo Oh, Lei JI, Eric Chang, Tackeun Kim, Edward Choi
question answering chest x-ray benchmark evaluation machine learning radiology electronic health records deep learning multimodal visual question answering
Published: July 19, 2024. Version: 1.0.0
Database Credentialed Access
Symile-MIMIC: a multimodal clinical dataset of chest X-rays, electrocardiograms, and blood labs from MIMIC-IV
Adriel Saporta, Aahlad Manas Puli, Mark Goldstein, Rajesh Ranganath
database cxr ecg chest x-ray contrastive learning model multimodal mimic electrocardiogram
Published: Jan. 28, 2025. Version: 1.0.0
Database Credentialed Access
MIMIC-Ext-MIMIC-CXR-VQA: A Complex, Diverse, And Large-Scale Visual Question Answering Dataset for Chest X-ray Images
Seongsu Bae, Daeun Kyung, Jaehee Ryu, Eunbyeol Cho, Gyubok Lee, Sunjun Kweon, Jungwoo Oh, Lei JI, Eric Chang, Tackeun Kim, Edward Choi
question answering chest x-ray benchmark evaluation machine learning radiology electronic health records deep learning multimodal visual question answering
Published: July 19, 2024. Version: 1.0.0