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| http://dx.doi.org/10.1007/s13280-022-01791-3 | DOI Listing |
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Contour uncertainty assessment for MD-omitted daily adaptive online head and neck radiotherapy.
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Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Medical Artificial Intelligence and Automation Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA. Electronic address:
Background And Purpose: Daily online adaptive radiotherapy (DART) increases treatment accuracy by crafting daily customized plans that adjust to the patient's daily setup and anatomy. The routine application of DART is limited by its resource-intensive processes. This study proposes a novel DART strategy for head and neck squamous cell carcinoma (HNSCC), automizing the process by propagating physician-edited treatment contours for each fraction.
View Article and Find Full Text PDFImproving robustness by action correction via multi-step maximum risk estimation.
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School of Computer Science and Technology, Soochow University, Suzhou, 215006, China. Electronic address:
Certifying robustness against external uncertainties throughout the control process to reduce the risk of instability is very important. Most existing approaches based on adversarial learning use a fixed parameter to adjust the intensity of adversarial perturbations and design these perturbations in a greedy manner without considering future implications. However, they often lead to severe vulnerabilities when attack budgets vary dynamically or under foresighted attacks.
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Paul C.Lauterbur Research Center For Biomedical lmaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Guangdong, 518055, China. Electronic address:
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View Article and Find Full Text PDFImportance: Emerging evidence suggests that severe acute respiratory syndrome, COVID-19, negatively impacts brain health, with clinical magnetic resonance imaging (MRI) showing a wide range of neurologic manifestations but no consistent pattern. Compared with 3 Tesla (3T) MRI, 7 Tesla (7T) MRI can detect more subtle injuries, including hippocampal subfield volume differences and additional standard biomarkers such as white matter lesions. 7T MRI could help with the interpretation of the various persistent post-acute and distal onset sequelae of COVID-19 infection.
View Article and Find Full Text PDFShortcut to chemically accurate quantum computing via density-based basis-set correction.
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Sorbonne Université, LCT, UMR 7616 CNRS, 75005, Paris, France.
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