2.2k citations
- National Cancer InstituteUS19 papers
- National Institutes of HealthUS12 papers
- Tel Aviv UniversityIL5 papers
- Frederick National Laboratory for Cancer ResearchUS4 papers
- Semmelweis UniversityHU3 papers
- University of Maryland, College ParkUS3 papers
- Duke UniversityUS2 papers
- Harvard UniversityUS2 papers
- National Institutes of Health Clinical CenterUS2 papers
- Science Applications International Corporation (United States)US2 papers
- University of Illinois Urbana-ChampaignUS2 papers
- Albert Einstein College of MedicineUS1 paper
26 papers
Toward Ultra-fast Treatments: Large Energy Acceptance Beam Delivery Systems and Opportunities for Proton Beam Therapy
Jacinta Yap, Adam Steinberg, Hannah Norman +2
Treatment delivery is largely determined by capabilities of the beam delivery system (BDS), where faster delivery can have many potential benefits including improved dosimetric qua…
Bi-level Multi-criteria Optimization for Risk-informed Radiotherapy
Mara Schubert, Katrin Teichert, Zhongxing Liao +2
In radiation therapy (RT) treatment planning, multi-criteria optimization (MCO) supports efficient plan selection but is usually solved for population-based dosimetric criteria and…
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…
Varying-coefficients for regional quantile via KNN-based LASSO with applications to health outcome study
Seyoung Park, Eun Ryung Lee, Hyokyoung G. Hong
Health outcomes, such as body mass index and cholesterol levels, are known to be dependent on age and exhibit varying effects with their associated risk factors. In this paper, we…
Matching Patients to Clinical Trials with Large Language Models
Qiao Jin, Zifeng Wang, Charalampos S. Floudas +7
Patient recruitment is challenging for clinical trials. We introduce TrialGPT, an end-to-end framework for zero-shot patient-to-trial matching with large language models. TrialGPT…
Accelerated and Quantitative 3D Semisolid MT/CEST Imaging using a Generative Adversarial Network (GAN-CEST)
Jonah Weigand-Whittier, Maria Sedykh, Kai Herz +7
Purpose: To substantially shorten the acquisition time required for quantitative 3D chemical exchange saturation transfer (CEST) and semisolid magnetization transfer (MT) imaging a…