138 citations
- University of ChicagoUS7 papers
- Frederick National Laboratory for Cancer ResearchUS2 papers
- Icahn School of Medicine at Mount SinaiUS2 papers
- Illinois CollegeUS2 papers
- National Cancer InstituteUS2 papers
- University of Illinois ChicagoUS2 papers
- Allen Institute for Cell ScienceUS1 paper
- Argonne National LaboratoryUS1 paper
- Broad InstituteUS1 paper
- Carl Zeiss (United States)US1 paper
- Center for Cancer ResearchUS1 paper
- Center for Devices and Radiological HealthUS1 paper
8 papers
Impact of AI-Triage on Radiologist Report Turnaround Time: Real-World Time-Savings and Insights from Model Predictions
Yee Lam Elim Thompson, Jonathan Fergus, Jonathan Chung +4
Objective: To quantify the impact of workflow parameters on time-savings in report turnaround time (TAT) due to an AI-triage device that prioritized pulmonary embolism (PE) in ches…
GDC Cohort Copilot: An AI Copilot for Curating Cohorts from the Genomic Data Commons
Steven Song, Anirudh Subramanyam, Zhenyu Zhang +2
The Genomic Data Commons (GDC) provides access to high quality, harmonized cancer genomics data through a unified curation and analysis platform centered around patient cohorts. Wh…
SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses
Sahil Sethi, Sai Reddy, Mansi Sakarvadia +4
Deep learning has shown strong performance in musculoskeletal imaging, but prior work has largely targeted conditions where diagnosis is relatively straightforward. More challengin…
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…
Enabling Global Image Data Sharing in the Life Sciences
Peter Bajcsy, Sreenivas Bhattiprolu, Katy Boerner +20
Coordinated collaboration is essential to realize the added value of and infrastructure requirements for global image data sharing in the life sciences. In this White Paper, we tak…
Quantitative perfusion and water transport time model from multi b-value diffusion magnetic resonance imaging validated against neutron capture microspheres
M. Liu, N. Saadat, Y. Jeong +5
Intravoxel Incoherent Motion (IVIM) is a non-contrast magnetic resonance imaging diffusion-based scan that uses a multitude of b-values to measure various speeds of molecular perfu…