50 citations · 50 across the 4 of their papers we have counts for
6 papers
Quantifying the Impact of Upright Patient Positioning on Cardiac Substructures Using Deep Learning
Nicholas Summerfield, Yuhao Yan, Chase Ruff +4
Upright patient positioners with diagnostic-quality vertical CT at treatment isocenter may improve image-guided radiation therapy (RT). However, cardiac substructure (CS) geometry…
Cardiac segmentation for ventricular tachycardia radioablation and radiotherapy patients with cardiac implants
Nicholas Summerfield, Dustin Jacqmin, Chase Ruff +8
Deep-learning (DL) segmentation enables cardiac substructure (CS) delineation for advanced cardiac-sparing radiation therapy (RT). Patients presenting for RT may have implantable d…
Modality-AGnostic Image Cascade (MAGIC) for Multi-Modality Cardiac Substructure Segmentation
Nicholas Summerfield, Qisheng He, Alex Kuo +9
Cardiac substructure delineation is emerging in treatment planning to minimize the risk of radiation-induced heart disease. Deep learning offers efficient methods to reduce contour…
Deterministic Medical Image Translation via High-fidelity Brownian Bridges
Qisheng He, Nicholas Summerfield, Peiyong Wang +2
Recent studies have shown that diffusion models produce superior synthetic images when compared to Generative Adversarial Networks (GANs). However, their outputs are often non-dete…
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation
Qisheng He, Nicholas Summerfield, Ming Dong +1
Medical image segmentation of tumors and organs at risk is a time-consuming yet critical process in the clinic that utilizes multi-modality imaging (e.g, different acquisitions, da…
at RHIC and the LHC comparing clustering vs substructure
Nicholas Summerfield, Bing-Nan Lu, Christopher Plumberg +3
Collisions of light and heavy nuclei in relativistic heavy-ion collisions have been shown to be sensitive to nuclear structure. With a proposed run…