46 citations
- University of Illinois Urbana-ChampaignUS25 papers
- University of Illinois ChicagoUS11 papers
- University of ChicagoUS5 papers
- University of Illinois SystemUS5 papers
- National Center for Supercomputing ApplicationsUS4 papers
- Carle Foundation HospitalUS3 papers
- Carl R. Woese Institute for Genomic BiologyUS3 papers
- Stanford UniversityUS3 papers
- University of California San DiegoUS3 papers
- Massachusetts Institute of TechnologyUS2 papers
- Nature Inspires Creativity Engineers Lab2 papers
- Texas State UniversityUS2 papers
46 papers
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…
Geometry-Driven Mechanical Memory in a Random Fibrous Matrix
Mainak Sarkar, Christina Laukaitis, Amy Wagoner Johnson
Disordered fibrous matrices, formed by the random assembly of fibers, provide the structural framework for many biological systems and biomaterials. Applied deformation modifies th…
Toward Non-Invasive Diagnosis of Bankart Lesions with Deep Learning
Sahil Sethi, Sai Reddy, Mansi Sakarvadia +4
Bankart lesions, or anterior-inferior glenoid labral tears, are diagnostically challenging on standard MRIs due to their subtle imaging features-often necessitating invasive MRI ar…
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…
Open-Source Periorbital Segmentation Dataset for Ophthalmic Applications
George R. Nahass, Emma Koehler, Nicholas Tomaras +10
Periorbital segmentation and distance prediction using deep learning allows for the objective quantification of disease state, treatment monitoring, and remote medicine. However, t…
Examining Differential Item Functioning (DIF) in Self-Reported Health Survey Data: Via Multilevel Modeling
Dandan Chen Kaptur, Yiqing Liu, Bradley Kaptur +4
Few health-related constructs or measures have received a critical evaluation in terms of measurement equivalence, such as self-reported health survey data. Differential item funct…