activity
20212025
most citedECG-Image-Database: A Dataset of ECG Images with Real-World Imaging and Scanning Artifacts; A Foundation for Computerized ECG Image Digitization and Analysis

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025

Matthew A. Reyna, Zuzana Koscova, Jan Pavlus +11

Objective: Chagas disease is a parasitic infection that is endemic to South America, Central America, and, more recently, the U.S., primarily transmitted by insects. Chronic Chagas…

cs.HC2024★ 1 cited

Feasibility of Detecting Cognitive Impairment and Psychological Well-being among Older Adults Using Facial, Acoustic, Linguistic, and Cardiovascular Patterns Derived from Remote Conversations

Xiaofan Mu, Merna Bibars, Salman Seyedi +9

The aging society urgently requires scalable methods to monitor cognitive decline and identify social and psychological factors indicative of dementia risk in older adults. Our mac…

q-bio.QM2024★ 2 cited

ECG-Image-Database: A Dataset of ECG Images with Real-World Imaging and Scanning Artifacts; A Foundation for Computerized ECG Image Digitization and Analysis

Matthew A. Reyna, Deepanshi, James Weigle +10

We introduce the ECG-Image-Database, a large and diverse collection of electrocardiogram (ECG) images generated from ECG time-series data, with real-world scanning, imaging, and ph…

cs.CV2021★ 1 cited

Privacy-Preserving Eye-tracking Using Deep Learning

Salman Seyedi, Zifan Jiang, Allan Levey +1

The expanding usage of complex machine learning methods like deep learning has led to an explosion in human activity recognition, particularly applied to health. In particular, as…

cs.LG2021★ 1 cited

An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms

Salman Seyedi, Li Xiong, Shamim Nemati +1

The increasing complexity of algorithms for analyzing medical data, including de-identification tasks, raises the possibility that complex algorithms are learning not just the gene…