19 citations · 41 across the 5 of their papers we have counts for
7 papers
Deep Learning for Longitudinal Medical Imaging: A Scoping Review
Francesca Mussa, Divyanshu Tak, Atlas H. Avval +5
Longitudinal medical imaging analysis is a cornerstone of modern medical practice and patient care. Deep learning applied to longitudinal imaging offers wide potential to enhance d…
Magnetic resonance delta radiomics to track radiation response in lung tumors receiving stereotactic MRI-guided radiotherapy
Yining Zha, Benjamin H. Kann, Zezhong Ye +8
Introduction: Lung cancer is a leading cause of cancer-related mortality, and stereotactic body radiotherapy (SBRT) has become a standard treatment for early-stage lung cancer. How…
The impact of responding to patient messages with large language model assistance
Shan Chen, Marco Guevara, Shalini Moningi +12
Documentation burden is a major contributor to clinician burnout, which is rising nationally and is an urgent threat to our ability to care for patients. Artificial intelligence (A…
Large Language Models to Identify Social Determinants of Health in Electronic Health Records
Marco Guevara, Shan Chen, Spencer Thomas +11
Social determinants of health (SDoH) have an important impact on patient outcomes but are incompletely collected from the electronic health records (EHR). This study researched the…
Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy
Shan Chen, Marco Guevara, Nicolas Ramirez +7
Radiotherapy (RT) toxicities can impair survival and quality-of-life, yet remain under-studied. Real-world evidence holds potential to improve our understanding of toxicities, but…
Deep learning-based detection of intravenous contrast in computed tomography scans
Zezhong Ye, Jack M. Qian, Ahmed Hosny +7
Purpose: Identifying intravenous (IV) contrast use within CT scans is a key component of data curation for model development and testing. Currently, IV contrast is poorly documente…
A Mass-Conserving 4D XCAT Phantom for Dose Calculation and Accumulation
Christopher L. Williams, Pankaj Mishra, Joao Seco +4
The XCAT phantom is a realistic 4D digital torso phantom that is widely used in imaging and therapy research. However, lung mass is not conserved between respiratory phases of the…