9 citations · 9 across the 8 of their papers we have counts for
8 papers
Spectropolarimetric Inversion in Four Dimensions with Deep Learning (SPIn4D): II. A Physics-Informed Machine Learning Method for 3D Solar Photosphere Reconstruction
Kai E. Yang, Xudong Sun, Lucas A. Tarr +9
Inferring the three-dimensional (3D) solar atmospheric structures from observations is a critical task for advancing our understanding of the magnetic fields and electric currents…
Deep Learning Enables Large-Scale Shape and Appearance Modeling in Total-Body DXA Imaging
Arianna Bunnell, Devon Cataldi, Yannik Glaser +6
Total-body dual X-ray absorptiometry (TBDXA) imaging is a relatively low-cost whole-body imaging modality, widely used for body composition assessment. We develop and validate a de…
Artificial Intelligence-Informed Handheld Breast Ultrasound for Screening: A Systematic Review of Diagnostic Test Accuracy
Arianna Bunnell, Dustin Valdez, Fredrik Strand +3
Background. Breast cancer screening programs using mammography have led to significant mortality reduction in high-income countries. However, many low- and middle-income countries…
Deep Learning Predicts Mammographic Breast Density in Clinical Breast Ultrasound Images
Arianna Bunnell, Dustin Valdez, Thomas K. Wolfgruber +8
Background: Breast density, as derived from mammographic images and defined by the American College of Radiology's Breast Imaging Reporting and Data System (BI-RADS), is one of the…
Spectropolarimetric Inversion in Four Dimensions with Deep Learning (SPIn4D): I. Overview, Magnetohydrodynamic Modeling, and Stokes Profile Synthesis
Kai E. Yang, Lucas A. Tarr, Matthias Rempel +8
The National Science Foundation's Daniel K. Inouye Solar Telescope (DKIST) will provide high-resolution, multi-line spectropolarimetric observations that are poised to revolutioniz…
BUSClean: Open-source software for breast ultrasound image pre-processing and knowledge extraction for medical AI
Arianna Bunnell, Kailee Hung, John A. Shepherd +1
Development of artificial intelligence (AI) for medical imaging demands curation and cleaning of large-scale clinical datasets comprising hundreds of thousands of images. Some moda…
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound
Arianna Bunnell, Yannik Glaser, Dustin Valdez +6
Detecting and classifying lesions in breast ultrasound images is a promising application of artificial intelligence (AI) for reducing the burden of cancer in regions with limited a…
Deep Probabilistic Direction Prediction in 3D with Applications to Directional Dark Matter Detectors
Majd Ghrear, Peter Sadowski, Sven Einar Vahsen
We present the first method to probabilistically predict 3D direction in a deep neural network model. The probabilistic predictions are modeled as a heteroscedastic von Mises-Fishe…