Resources


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 eye tracking machine learning multimodal radiology chest x-ray explainability chest cxr deep learning

Published: Sept. 12, 2020. Version: 1.0.0

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

Published: Sept. 27, 2021. Version: 1.0.0

Database Credentialed Access

VinDr-CXR: An open dataset of chest X-rays with radiologist annotations

Ha Quy Nguyen, Hieu Huy Pham, le tuan linh, Minh Dao, lam khanh

VinDr-CXR: An open dataset of chest X-rays with radiologist's annotations

computer vision lesion detection disease classification chest x-ray interpretation deep learning

Published: June 22, 2021. Version: 1.0.0

Database Credentialed Access

MS-CXR-T: Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing

Shruthi Bannur, Stephanie Hyland, Qianchu Liu, Fernando Pérez-García, Max Ilse, Daniel Coelho de Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anton Schwaighofer, Maria Teodora Wetscherek, Hannah Richardson, Tristan Naumann, Javier Alvarez Valle, Ozan Oktay

The MS-CXR-T is a multimodal benchmark that enhances the MIMIC-CXR v2 dataset by including expert-verified annotations. Its goal is to evaluate biomedical visual-language processing models in terms of temporal semantics extracted from image and text.

multimodal radiology chest x-ray cxr disease progression vision-language processing

Published: March 17, 2023. Version: 1.0.0

Software Credentialed Access

Code for generating the HAIM multimodal dataset of MIMIC-IV clinical data and x-rays

Luis R Soenksen, Yu Ma, Cynthia Zeng, Leonard David Jean Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly Wiberg, Michael Li, Ignacio Fuentes, Dimitris Bertsimas

Code for generating the HAIM multimodal dataset of MIMIC-IV clinical data and x-rays

database code multimodality

Published: Aug. 23, 2022. Version: 1.0.1

Database Credentialed Access

Chest X-ray segmentation images based on MIMIC-CXR

Li-Ching Chen, Po-Chih Kuo, Ryan Wang, Judy Gichoya, Leo Anthony Celi

A chest x-rays segmentation dataset derived from MIMIC-CXR based on deep learning algorithm and human examination.

chest x-rays segmentation cxr

Published: Aug. 18, 2022. Version: 1.0.0

Database Restricted Access

Smartphone-Captured Chest X-Ray Photographs

Po-Chih Kuo, ChengChe Tsai, Diego M Lopez, Alexandros Karargyris, Tom Pollard, Alistair Johnson, Leo Anthony Celi

Smartphone-captured CXR images including photographs taken from MIMIC-CXR and CheXpert, photographs taken by resident doctors, and photographs taken with different devices.

smartphone photograph cxr

Published: Sept. 27, 2020. 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 computer vision machine learning chest x-rays radiology natural language processing

Published: Sept. 19, 2019. Version: 2.0.0