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Inverse Planning for Radiofrequency Ablation in Cancer Therapy Using Multiple Damage Models
Radiofrequency ablation (RFA) offers localized and minimally invasive treatment of small-to-medium sized inoperable tumors. In RFA, …
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Physical dose validation of dynamic treatment for Gamma Knife radiosurgery
Background: Dynamic treatment in Gamma Knife (GK) radiosurgery systems delivers radiation continuously with couch movement, as opposed …
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A branch-and-price algorithm enhanced by decision diagrams for the kidney exchange problem
Problem definition: Kidney paired donation programs allow patients registered with an incompatible donor to receive a suitable kidney …
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Machine learning for the prediction of survival post-allogeneic hematopoietic cell transplantation: A single-center experience
Introduction: Prediction of outcomes following allogeneic hematopoietic cell transplantation (HCT) remains a major challenge. Machine …
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Plan assessment metrics for dose painting in stereotactic radiosurgery
PURPOSE As radiotherapy treatment precision increases with advancements in imaging and radiation delivery, dose painting treatment …
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Social determinants of access to timely elective surgery in Ontario, Canada: a cross-sectional population level study
Background: Equitable access to surgical care has clinical and policy implications. We assess the association between social …
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Spatio-temporal clustering of multi-location time series to model seasonal influenza spread
Although seasonal influenza disease spread is a spatio-temporal phenomenon, public surveillance systems aggregate data only spatially, …
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The complexity of transferring remote monitoring and virtual care technology between countries: lessons from an international workshop
International deployment of remote monitoring and virtual care (RMVC) technologies would efficiently harness their positive impact on …
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SuPART: supervised projective adapted resonance theory for automatic quality assurance approval of radiotherapy treatment plans
Radiotherapy is a common treatment modality for the treatment of cancer, where treatments must be carefully designed to deliver …
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Understanding machine learning classifier decisions in automated radiotherapy quality assurance
The complexity of generating radiotherapy treatments demands a rigorous quality assurance (QA) process to ensure patient safety and to …
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