output
20162025
most citedCommunity-developed checklists for publishing images and image analysis

87 citations

22 papers

cs.HC2025★ 11 cited

AI-Enabled Conversational Journaling for Advancing Parkinson's Disease Symptom Tracking

Mashrur Rashik, Shilpa Sweth, Nishtha Agrawal +6

Journaling plays a crucial role in managing chronic conditions by allowing patients to document symptoms and medication intake, providing essential data for long-term care. While v…

cs.AI2025★ 8 cited

ADAM: An AI Reasoning and Bioinformatics Model for Alzheimer's Disease Detection and Microbiome-Clinical Data Integration

Ziyuan Huang, Vishaldeep Kaur Sekhon, Roozbeh Sadeghian +5

Alzheimer's Disease Analysis Model (ADAM) is a multi-agent reasoning large language model (LLM) framework designed to integrate and analyze multimodal data, including microbiome pr…

physics.med-ph2024★ 3 cited

A Method for Imaging the Ischemic Penumbra with MRI using IVIM

Mira M. Liu, Niloufar Saadat, Steven P. Roth +5

This work examines the hypothesis that intravoxel incoherent motion MRI (IVIM) can quantify local cerebral blood flow (qCBF), infarct volume, and define the ischemic penumbra for d…

cs.CY2024★ 10 cited

Environment Scan of Generative AI Infrastructure for Clinical and Translational Science

Betina Idnay, Zihan Xu, William G. Adams +54

This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 instituti…

eess.SP2024★ 1 cited

Multiclass Arrhythmia Classification using Smartwatch Photoplethysmography Signals Collected in Real-life Settings

Dong Han, Jihye Moon, Luís Roberto Mercado Díaz +6

Most deep learning models of multiclass arrhythmia classification are tested on fingertip photoplethysmographic (PPG) data, which has higher signal-to-noise ratios compared to smar…

q-bio.OT2024★ 2 cited

Harmonizing the Generation and Pre-publication Stewardship of FAIR Image Data

Nikki Bialy, Frank Alber, Brenda Andrews +44

Alongside molecular insights into genes and proteins, biological imaging holds great promise for deepening scientific understanding of complex cellular systems and advancing predic…