PhysioNet Index

Database Credentialed Access

Chest ImaGenome Dataset

Joy Wu, Nkechinyere Agu, Ismini Lourentzou, Arjun Sharma, Joseph Paguio, Jasper Seth Yao, Edward Christopher Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo Anthony Celi, Tanveer Syeda-Mahmood, Mehdi Moradi

The Chest ImaGenome dataset is a scene graph dataset with additional chronological comparison relations for chest X-rays. It is automatically derived from the MIMIC-CXR dataset. A manually annotated gold standard is also available for 500 patients.

multimodal chest x-ray radiology machine learning scene graph visual question answering visual dialogue object detection disease progression semantic reasoning bounding box relation extraction knowledge graph cxr chest explainability reasoning deep learning

Published: July 13, 2021. Version: 1.0.0

Database Credentialed Access

MIMIC-CXR Database

Alistair Johnson, Tom Pollard, Roger Mark, Seth Berkowitz, Steven Horng

Chest radiographs in DICOM format with associated free-text reports.

mimic natural language processing computer vision chest x-rays radiology machine learning

Published: Sept. 19, 2019. Version: 2.0.0

Database Credentialed Access

Eye Gaze Data for Chest X-rays

Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy Wu, Matthew Tong, Arjun Sharma, Shafiq Abedin, David Beymer, Vandana Mukherjee, Elizabeth Krupinski, Mehdi Moradi

This dataset was a collected using an eye tracking system while a radiologist interpreted and read 1,083 public CXR images. The dataset contains the following aligned modalities: image, transcribed report text, dictation audio and eye gaze data.

audio convolutional network heatmap multimodal chest x-ray radiology machine learning eye tracking cxr chest explainability deep learning

Published: Sept. 12, 2020. Version: 1.0.0

Database Credentialed Access

MIMIC-CXR-JPG - chest radiographs with structured labels

Alistair Johnson, Matt Lungren, Yifan Peng, Zhiyong Lu, Roger Mark, Seth Berkowitz, Steven Horng

Chest x-rays in JPG format with structured labels derived from the associated radiology report.

mimic computer vision chest x-ray radiology deep learning

Published: Nov. 14, 2019. Version: 2.0.0

Database Open Access

MIMIC Database

The MIMIC Database includes data recorded from over 90 ICU patients. The data in each case include signals and periodic measurements obtained from a bedside monitor as well as clinical data obtained from the patient's medical record. The recordi…

health record icu mimic ehr critical care

Published: March 15, 2000. Version: 1.0.0

Visualize waveforms

Database Restricted Access

REFLACX: Reports and eye-tracking data for localization of abnormalities in chest x-rays

Ricardo Bigolin Lanfredi, Mingyuan Zhang, William Auffermann, Jessica Chan, Phuong-Anh Duong, Vivek Srikumar, Trafton Drew, Joyce Schroeder, Tolga Tasdizen

This dataset contains 3032 cases of eye-tracking data collected while five radiologists dictated reports for frontal chest x-rays, synchronized timestamped dictation transcription, and manual labels for validation of localization of abnormalities.

computer vision chest x-rays radiology machine learning eye tracking radiology report reflacx fixations gaze deep learning

Published: Sept. 27, 2021. Version: 1.0.0

Software Open Access

Model for Simulating ECG and PPG Signals with Arrhythmia Episodes

Andrius Sološenko, Andrius Petrėnas, Birutė Paliakaitė, Vaidotas Marozas, Leif Sörnmo

A model is capable of simulating sinus rhythm, atrial fibrillation and ectopic beats in ECGs and PPGs as well as extreme bradycardia and ventricular tachycardia in PPGs. Different types of noises and artifacts can also be added to the waveforms.

atrial fibrillation arrhythmia noise motion artifacts bradycardia tachycardia simulation ppg detection ecg

Published: Aug. 30, 2021. Version: 1.3.0

Database Credentialed Access

MIMIC-III Clinical Database

Alistair Johnson, Tom Pollard, Roger Mark

MIMIC-III is a large, freely-available database comprising deidentified health-related data associated with over forty thousand patients who stayed in critical care units of the Beth Israel Deaconess Medical Center between 2001 and 2012. The databas…

intensive care clinical natural language processing critical care machine learning

Published: Sept. 4, 2016. Version: 1.4

Database Credentialed Access