X. Sharon Qi
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View article: MTmixAtt: Integrating Mixture-of-Experts with Multi-Mix Attention for Large-Scale Recommendation
MTmixAtt: Integrating Mixture-of-Experts with Multi-Mix Attention for Large-Scale Recommendation Open
Industrial recommender systems critically depend on high-quality ranking models. However, traditional pipelines still rely on manual feature engineering and scenario-specific architectures, which hinder cross-scenario transfer and large-sc…
View article: Therapeutic medical physicist well‐being and employment satisfaction during the COVID‐19 pandemic in California
Therapeutic medical physicist well‐being and employment satisfaction during the COVID‐19 pandemic in California Open
Purpose This study aims to investigate medical physicist job status during the COVID‐19 pandemic in California and collect community feedback on strategies to alleviate job burnout and stress to improve overall work‐life balance. Methods a…
View article: Influence of Pancreatic Ductal Adenocarcinoma Anatomic Tumor Subregion on Oncologic Outcomes Following MRI-Guided Stereotactic Body Radiotherapy
Influence of Pancreatic Ductal Adenocarcinoma Anatomic Tumor Subregion on Oncologic Outcomes Following MRI-Guided Stereotactic Body Radiotherapy Open
View article: Dosimetric Impact of Online MR-Guided Adaptive Radiotherapy for Focal-Boosted Prostate Stereotactic Body Radiation Therapy
Dosimetric Impact of Online MR-Guided Adaptive Radiotherapy for Focal-Boosted Prostate Stereotactic Body Radiation Therapy Open
View article: MR-Guided Radiation Therapy for Prostate and Pancreas Cancer Treatment: A Dosimetric Study Across Two Major MR-Linac Platforms
MR-Guided Radiation Therapy for Prostate and Pancreas Cancer Treatment: A Dosimetric Study Across Two Major MR-Linac Platforms Open
Background/Objectives: MR-guided radiation therapy (MRgRT) has rapidly evolved into an important treatment modality, with the Elekta Unity and ViewRay MRIdian systems being two major MR-linac platforms. Despite the shared concept of MRgRT,…
View article: Contrast-Enhanced CT-Based Deep Learning and Habitat Radiomics for Analysing the Predictive Capability for Oral Squamous Cell Carcinoma
Contrast-Enhanced CT-Based Deep Learning and Habitat Radiomics for Analysing the Predictive Capability for Oral Squamous Cell Carcinoma Open
View article: Ship Target Detection in SAR Images Based on Improved YOLOv5 and Edge Deployment on Huawei Ascend
Ship Target Detection in SAR Images Based on Improved YOLOv5 and Edge Deployment on Huawei Ascend Open
Aiming at the challenges faced in ship target detection in complex large scenes of spaceborne SAR images, such as difficulties in detecting small targets, severe target occlusion, large amounts of SAR data, and limited computing power of a…
View article: Impact of Synchronous Online Learning on the Theoretical Training of New Pediatric Nurses: A Prospective Randomized Trial
Impact of Synchronous Online Learning on the Theoretical Training of New Pediatric Nurses: A Prospective Randomized Trial Open
Aims This study aimed to examine the impact of synchronous online learning on the effectiveness of theoretical training and self-efficacy among newly graduated pediatric nurses. Design It is a prospective randomized controlled trial. Metho…
View article: Flavor Grading of Zanthoxylum Based on Computer Vision-Multi-Chromatography Fusion
Flavor Grading of Zanthoxylum Based on Computer Vision-Multi-Chromatography Fusion Open
View article: TPGR-YOLO: Improving the Traffic Police Gesture Recognition Method of YOLOv11
TPGR-YOLO: Improving the Traffic Police Gesture Recognition Method of YOLOv11 Open
View article: Research on Privacy-Preserving Action Recognition Method Based on Adversarial Learning and Feature Enhancement
Research on Privacy-Preserving Action Recognition Method Based on Adversarial Learning and Feature Enhancement Open
Video action recognition technology provides technical support for automated monitoring and early event warning, liberating human resources, preventing anomalies in advance, and handling events more promptly. However, the issue of user pri…
View article: A Silicone-Based Film-Forming Gel Wound Dressing for the Prevention of Radiation Dermatitis in Head and Neck Cancer Patients a Retrospective Cohort Analysis Using Clinical Informatics
A Silicone-Based Film-Forming Gel Wound Dressing for the Prevention of Radiation Dermatitis in Head and Neck Cancer Patients a Retrospective Cohort Analysis Using Clinical Informatics Open
View article: Annual change in the distribution and landscape health of mangrove ecosystems in China from 2016 to 2023 with Sentinel imagery
Annual change in the distribution and landscape health of mangrove ecosystems in China from 2016 to 2023 with Sentinel imagery Open
As a type of unique coastal wetland, mangroves are subjected to the compounded effects of human activities and climate change. Acquiring reliable and up-to-date information of mangroves is crucial to support their conservation and sustaina…
View article: Research on Performance Appraisal System of Sales Staff in X Company
Research on Performance Appraisal System of Sales Staff in X Company Open
In the era of knowledge economy, talent is the core of enterprises to gain competitive advantage, and performance management is the core of human resource management. How to improve the quality of human resources in enterprises, the most c…
View article: Feature selection based on unsupervised clustering evaluation for predicting neoadjuvant chemoradiation response for patients with locally advanced rectal cancer
Feature selection based on unsupervised clustering evaluation for predicting neoadjuvant chemoradiation response for patients with locally advanced rectal cancer Open
Accurate response prediction allows for personalized cancer treatment of locally advanced rectal cancer (LARC) with neoadjuvant chemoradiation. In this work, we designed a convolutional neural network (CNN) feature extractor with switchabl…
View article: NRG Oncology Assessment of Artificial Intelligence Deep Learning–Based Auto-segmentation for Radiation Therapy: Current Developments, Clinical Considerations, and Future Directions
NRG Oncology Assessment of Artificial Intelligence Deep Learning–Based Auto-segmentation for Radiation Therapy: Current Developments, Clinical Considerations, and Future Directions Open
View article: Prediction of Radiation Treatment Response for Locally Advanced Rectal Cancer via a Longitudinal Trend Analysis Framework on Cone-Beam CT
Prediction of Radiation Treatment Response for Locally Advanced Rectal Cancer via a Longitudinal Trend Analysis Framework on Cone-Beam CT Open
Locally advanced rectal cancer (LARC) presents a significant challenge in terms of treatment management, particularly with regards to identifying patients who are likely to respond to radiation therapy (RT) at an individualized level. Pati…
View article: Quality and Safety Considerations in Image Guided Radiation Therapy: An ASTRO Safety White Paper Update
Quality and Safety Considerations in Image Guided Radiation Therapy: An ASTRO Safety White Paper Update Open
View article: Objective Boundary Generation for Gross Target Volume and Organs at Risk Using 3D Multi-Modal Medical Images
Objective Boundary Generation for Gross Target Volume and Organs at Risk Using 3D Multi-Modal Medical Images Open
View article: MRI-Guided Radiation Therapy for Prostate Cancer: The Next Frontier in Ultrahypofractionation
MRI-Guided Radiation Therapy for Prostate Cancer: The Next Frontier in Ultrahypofractionation Open
Technological advances in MRI-guided radiation therapy (MRIgRT) have improved real-time visualization of the prostate and its surrounding structures over CT-guided radiation therapy. Seminal studies have demonstrated safe dose escalation a…
View article: Predicting Overall Survival for Patients with Malignant Mesothelioma Following Radiotherapy via Interpretable Machine Learning
Predicting Overall Survival for Patients with Malignant Mesothelioma Following Radiotherapy via Interpretable Machine Learning Open
Purpose/Objectives: Malignant pleural mesothelioma (MPM) is a rare but aggressive cancer arising from the cells of the thoracic pleura with a poor prognosis. We aimed to develop a model, via interpretable machine learning (ML) methods, pre…
View article: Anterior Skull Base Osteoradionecrosis in the Age of Intensity-Modulated Radiation Therapy: A Case Series
Anterior Skull Base Osteoradionecrosis in the Age of Intensity-Modulated Radiation Therapy: A Case Series Open
Background Despites advances in radiation technology, skull base osteoradionecrosis (ORN) continues to be a rare, devastating, and hard to treat complication of radiotherapy. We present three cases of anterior skull base ORN in a cohort tr…
View article: A subregion-based survival prediction framework for GBM via multi-sequence MRI space optimization and clustering-based feature bundling and construction
A subregion-based survival prediction framework for GBM via multi-sequence MRI space optimization and clustering-based feature bundling and construction Open
Aiming at accurate survival prediction of Glioblastoma (GBM) patients following radiation therapy, we developed a subregion-based survival prediction framework via a novel feature construction method on multi-sequence MRIs. The proposed me…
View article: Evaluation the correlation between anti-spike protein IgG antibody titers against SARS-CoV-2 Prototype and different Omicron variants by ELISA and neutralization activity
Evaluation the correlation between anti-spike protein IgG antibody titers against SARS-CoV-2 Prototype and different Omicron variants by ELISA and neutralization activity Open
Evaluating the IgG titers targeting the S protein of SARS-CoV-2 by ELISA assays have been used in the development of several anti-SARS-CoV-2 vaccines in China. It is unclear whether the IgG levels against S protein tested by ELISA can moni…
View article: A survival prediction model via interpretable machine learning for patients with oropharyngeal cancer following radiotherapy
A survival prediction model via interpretable machine learning for patients with oropharyngeal cancer following radiotherapy Open
View article: A multi-objective based radiomics feature selection method for response prediction following radiotherapy
A multi-objective based radiomics feature selection method for response prediction following radiotherapy Open
Objective. Radiomics contains a large amount of mineable information extracted from medical images, which has important significance in treatment response prediction for personalized treatment. Radiomics analyses generally involve high dim…
View article: AAPM Task Group Report 306: Quality control and assurance for tomotherapy: An update to Task Group Report 148
AAPM Task Group Report 306: Quality control and assurance for tomotherapy: An update to Task Group Report 148 Open
Since the publication of AAPM Task Group (TG) 148 on quality assurance (QA) for helical tomotherapy, there have been many new developments on the tomotherapy platform involving treatment delivery, on‐board imaging options, motion managemen…
View article: Radiation therapy practice changes in the COVID‐19 pandemic era: A pilot study in California
Radiation therapy practice changes in the COVID‐19 pandemic era: A pilot study in California Open
Purpose This study aims to investigate practice changes among Southern and Northern California's radiation oncology centers during the COVID‐19 pandemic. Methods On the online survey platform SurveyMonkey, we designed 10 survey questions t…
View article: Three doses of an inactivation-based COVID-19 vaccine induces cross-neutralizing immunity against the SARS CoV-2 Omicron variant
Three doses of an inactivation-based COVID-19 vaccine induces cross-neutralizing immunity against the SARS CoV-2 Omicron variant Open
The immunity potency upon natural infection or vaccination is the main concern for the vaccine strategy of severe acute respiratory syndrome coronavirus 2 (SARS COV-2 variant), especially the recently reported Omicron variant (B.1.1.529). …
View article: Multivariate Model for Predicting Overall Survival in Malignant Pleural Mesothelioma After Adjuvant Radiotherapy
Multivariate Model for Predicting Overall Survival in Malignant Pleural Mesothelioma After Adjuvant Radiotherapy Open