Resources

32 results for "deep learning"

Database Restricted Access

MIMIC-Eye: Integrating MIMIC Datasets with REFLACX and Eye Gaze for Multimodal Deep Learning Applications

Chihcheng Hsieh, Chun Ouyang, Jacinto C Nascimento, et al.

Deep learning technologies have been widely adopted in medical imaging due to their ability to extract features from images and make accurate diagnoses automatically. Medical imaging technologies are particularly useful because they can be trained t…
Published: March 23, 2023. Version: 1.0.0
Database Credentialed Access

Chest ImaGenome Dataset

Joy Wu, Nkechinyere Agu, Ismini Lourentzou, et al.

In recent years, with the release of multiple large datasets, automatic interpretation of chest X-ray (CXR) images with deep learning models have become feasible for specific abnormalities or for generating preliminary reports. However, despite repo…
Published: July 13, 2021. Version: 1.0.0
Database Credentialed Access

Chest X-ray segmentation images based on MIMIC-CXR

Li-Ching Chen, Po-Chih Kuo, Ryan Wang, et al.

As more and more artificial intelligence (AI) or deep learning technologies have been applied to medical image applications such as radiological finding identification in chest X-rays (CXRs), the interpretability of the prediction model is crucial f…
Published: Aug. 18, 2022. Version: 1.0.0
Database Credentialed Access

Annotation dataset of problematic opioid use and related contexts from MIMIC-III Critical Care Database discharge summaries

Melissa Poulsen, Vanessa Troiani, Philip Freda, et al.

Opioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of OUD and social risks…
Published: Feb. 8, 2023. Version: 1.0.0
Database Credentialed Access

Eye Gaze Data for Chest X-rays

Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, et al.

We created a rich multimodal dataset for the Chest X-Ray (CXR) domain. The data was 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…
Published: Sept. 12, 2020. Version: 1.0.0
Database Restricted Access

Dataset for Segmentation and Classification of Cardiac Implantable Electronic Devices in Chest X-Rays

Keno Bressem, Felix Busch, Andrei Zhukov, et al.

This dataset encompasses a comprehensive collection of 2,321 chest radiographs (originally DICOM, converted to PNG) and 11,072 smartphone images documenting various cardiac implantable electronic devices (CIEDs) such as implantable pacemakers, cardi…
Published: March 4, 2025. Version: 1.0.0
Database Restricted Access

EchoNext: A Dataset for Detecting Echocardiogram-Confirmed Structural Heart Disease from ECGs

Pierre Elias, Joshua Finer

This dataset contains a de-identified collection of 100,000 12-lead electrocardiograms (ECGs) with paired structural heart disease (SHD) labels derived from echocardiography, collected at Columbia University Irving Medical Center. Each ECG is provid…
Published: April 30, 2026. Version: 1.1.1
Database Credentialed Access

Embedding-Based Representations for BRSET and mBRSET

David Restrepo, Chenwei Wu, Michael Morley, et al.

BRSET and mBRSET are publicly available Brazilian ophthalmological datasets composed of curated retinal fundus photographs with associated clinical and demographic information. While these resources enable diverse research applications, training dee…
Published: March 30, 2026. Version: 1.0.0
Database Open Access

VitalDB Arrhythmia Database: An Anesthesiologist-Validated Large-Scale Intraoperative Arrhythmia Dataset with Beat and Rhythm Labels

Dain Eun, Kayoung Shim, Hyunsoo Lee, et al.

Intraoperative cardiac arrhythmias present distinct characteristics and clinical challenges compared to non-surgical environments, yet publicly available electrocardiogram (ECG) databases have primarily focused on ambulatory and intensive care envir…
Published: Feb. 26, 2026. 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, et al.

FDTooth is a comprehensive dataset designed for the automated detection of fenestration and dehiscence (FD) in anterior teeth, combining intraoral photographs and corresponding cone-beam computed tomography (CBCT) images from 241 patients aged 9 to …
Published: May 5, 2025. Version: 1.0.0