Resources


Database Open Access

Image-derived cardiomegaly biomarker values for 96K chest X-rays in MIMIC-CXR/MIMIC-CXR-JPG

Benjamin Duvieusart, Felix Krones, Guy Parsons, Lionel Tarassenko, Bartlomiej W Papiez, Adam Mahdi

Automatically extracted cardiomegaly biomarkers - cardiothoracic ratio (CTR) and cardiopulmonary area ratio (CPAR) - for all posterior-anterior chest x-ray scans in MIMIC-CXR/MIMIC-CXR-JPG.

biomarkers mimic-cxr cpar ctr cardiomegaly

Published: Aug. 23, 2024. Version: 1.0.0

Database Restricted Access

LATTE-CXR: Locally Aligned TexT and imagE, Explainable dataset for Chest X-Rays

Elham Ghelichkhan, Tolga Tasdizen

This dataset includes bounding box-statement pairs for chest X-ray images, derived from radiologists’ eye-tracking data (for explainability) and annotations, for local visual-language models.

eye-tracking chest x-ray dataset automatically generated dataset caption-guided object detection image captioning with region-level description grounded radiology report generation phrase grounding xai multi-modal learning local visual-language models localization

Published: Feb. 4, 2025. Version: 1.0.0

Database Open Access

Myocardial perfusion scintigraphy image database

Wesley Calixto, Solange Nogueira, Fernanda Luz, Thiago Fellipe Ortiz de Camargo

This database provides a collection of myocardial perfusion scintigraphy images. The dataset encompasses a diversity of clinical cases, including various perfusion patterns and underlying cardiac conditions.

nifti artificial intelligence anonymization clinical diagnosis myocardial perfusion systems modeling myocardial perfusion scintigraphy dicom metadata ventricular walls coronary artery disease convolutional neural networks automated segmentation

Published: Sept. 9, 2025. Version: 1.0.0

Database Restricted Access

LATTE-CXR: Locally Aligned TexT and imagE, Explainable dataset for Chest X-Rays

Elham Ghelichkhan, Tolga Tasdizen

This dataset includes bounding box-statement pairs for chest X-ray images, derived from radiologists’ eye-tracking data (for explainability) and annotations, for local visual-language models.

eye-tracking chest x-ray dataset automatically generated dataset caption-guided object detection image captioning with region-level description grounded radiology report generation phrase grounding xai multi-modal learning local visual-language models localization

Published: Feb. 4, 2025. Version: 1.0.0

Database Credentialed Access

Medical-Diff-VQA: A Large-Scale Medical Dataset for Difference Visual Question Answering on Chest X-Ray Images

Xinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, liangchen liu, Kazuma Kobayashi, Tatsuya Harada, Ronald Summers, Yingying Zhu

MIMIC-Diff-VQA provides a large-scale dataset for Difference visual question answering in medical chest x-ray images.

difference visual question answering difference vqa vqa chest x-ray visual question answering

Published: Feb. 3, 2025. Version: 1.0.1

Database Credentialed Access

Generalized Image Embeddings for the MIMIC Chest X-Ray dataset

Andrew Sellergren, Atilla Kiraly, Tom Pollard, Wei-Hung Weng, Yun Liu, Akib Uddin, Christina Chen

This database contains compact information-rich embeddings of the MIMIC-CXR Database v2.0.0 using the CXR Foundation API v1.0.

Published: Feb. 22, 2023. Version: 1.0

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.

segmentation chest x-rays cxr

Published: Aug. 18, 2022. Version: 1.0.0

Database Restricted Access

VinDr-SpineXR: A large annotated medical image dataset for spinal lesions detection and classification from radiographs

Hieu Huy Pham, Hieu Nguyen Trung, Ha Quy Nguyen

VinDr-SpineXR: A large annotated medical image dataset for spinal lesions detection and classification from radiographs

Published: Aug. 24, 2021. Version: 1.0.0

Database Restricted Access

HYAMD High-Resolution Fundus Image Dataset for age related macular degeneration (AMD) Diagnosis

Meishar Meisel, Benjamin Alfred Cohen, Meital Baskin, Beatrice Tiosano, Joachim Behar, Eran Berkowitz

The HYAMD dataset comprises 1,560 high-resolution fundus images from 325 patients, aimed at validating machine learning models for age-related macular degeneration (AMD) diagnosis.

Published: Sept. 9, 2025. Version: 1.0.0

Database Credentialed Access

FDTooth: Intraoral Photographs and Cone-Beam Computed Tomography Images for Fenestration and Dehiscence Detection

Yanqi Yang, Xiaomeng LI, Keyuan Liu, Marawan Elbatel

FDTooth is a dataset containing intraoral photographs and cone-beam computed tomography (CBCT) images with annotations for automated detection of fenestration and dehiscence in anterior teeth.

Published: May 5, 2025. Version: 1.0.0