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Rank #186 · 5 unique linked submissions.
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To evaluate the clinical accuracy and utility of a commercial deep learning-based auto-segmentation tool by Siemens for delineating brain metastases (GTV) and organs-at-risk (OAR) on contrast-enhanced MRI.
This work addresses the problem that, even after MRI motion correction (MOCO), images can still have reduced SNR and residual motion artifacts from undersampled gaps. The proposed solution integrates a pretrained 2D U-Net denoising model into an existing 3D P...
The efficacy of stereotactic radiosurgery (SRS) and radiotherapy (SRT) for brain metastases is often compromised by tumor growth and soft tissue changes between simulation and treatment. To eliminate these latencies, we clinically implemented a novel same-day...
Radiation therapy–associated cardiac arrhythmia is a clinically significant complication of thoracic RT, with important consequences for long-term cardiovascular health and treatment outcomes. Although arrhythmia risk evolves over time and is linked to cardia...
Supporting MR protocol design, optimization, and management is an important role for a diagnostic medical physicist. However, unless a physicist has extensive MR training, these tasks can feel overwhelming due to the breadth and variety of MR protocol types,...