Zhaoxiang Ye
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View article: The genetic architecture of brainstem structures
The genetic architecture of brainstem structures Open
The brainstem houses numerous nuclei and tracts that serve vital functions. Genome-wide associations with brainstem substructure volumes have been explored in European individuals, yet other ancestries remain under-represented. Here, we co…
View article: Genome‐Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes
Genome‐Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes Open
Brain structure and function show substantial individual differences, finely controlled by genes, environments, and their interactions. Despite the increasing knowledge about genetic and environmental main effects, gene‐environment interac…
View article: Machine learning-based differentiation of lung squamous cell carcinoma and adenocarcinoma using clinical-semantic and radiomic features
Machine learning-based differentiation of lung squamous cell carcinoma and adenocarcinoma using clinical-semantic and radiomic features Open
Purpose To evaluate and compare the predictive performance of machine learning methods using clinical-semantic, radiomic, and combined features in distinguishing squamous cell carcinoma (SCC) from adenocarcinoma (ADC) in non-small cell lun…
View article: AI‐Guided SERS Defines a Pan‐Cancer Diagnostic Biomarker
AI‐Guided SERS Defines a Pan‐Cancer Diagnostic Biomarker Open
Early and accurate detection of multiple cancers through a single test remains an unmet clinical need, hindered by current limitations in accuracy, throughput, automation, and multiplexing. Here, we present an AI‐powered SERS chip that com…
View article: Thoracic vertebral bone mineral density measured by quantitative computed tomography is associated with fracture risk in lung cancer screening populations: a prospective cohort study
Thoracic vertebral bone mineral density measured by quantitative computed tomography is associated with fracture risk in lung cancer screening populations: a prospective cohort study Open
Background Chest low-dose computed tomography (LDCT) is extensively utilized for lung cancer screening, offering a concurrent opportunity to assess thoracic vertebral bone mineral density (BMD) using quantitative computed tomography (QCT).…
View article: Comparative analysis of preoperative contrast-enhanced cone beam breast CT (CE-CBBCT) and MRI for differentiating pathological complete response from minimal residual disease in breast cancer
Comparative analysis of preoperative contrast-enhanced cone beam breast CT (CE-CBBCT) and MRI for differentiating pathological complete response from minimal residual disease in breast cancer Open
Not applicable.
View article: Massive traumatic cerebral venous sinus thrombosis in a pediatric patient: a case report
Massive traumatic cerebral venous sinus thrombosis in a pediatric patient: a case report Open
Background Cerebral venous sinus thrombosis (CVST) in children is a rare condition with diverse symptoms. Although mild head trauma is an uncommon cause, it can lead to CVST, often delaying diagnosis and treatment. Case presentation A 10-y…
View article: Development and validation of a predictive model for aromatase inhibitor-associated osteoporosis in Chinese breast cancer patients: A retrospective cohort study
Development and validation of a predictive model for aromatase inhibitor-associated osteoporosis in Chinese breast cancer patients: A retrospective cohort study Open
Objectives: Aromatase inhibitor (AI)-associated osteoporosis (OP) and osteoporotic fractures (OF) pose significant clinical challenges in breast cancer management, contributing to high morbidity and health care burden. This study aimed to …
View article: Artificial intelligence as an independent reader of risk-dominant lung nodules: influence of CT reconstruction parameters
Artificial intelligence as an independent reader of risk-dominant lung nodules: influence of CT reconstruction parameters Open
Objectives To assess the impact of reconstruction parameters on AI’s performance in detecting and classifying risk-dominant nodules in a baseline low-dose CT (LDCT) screening among a Chinese general population. Materials and methods Baseli…
View article: VETC predicting model based on CE-CT can predict prognosis and assisting treatment plan for solitary HCC: better together with radiomics
VETC predicting model based on CE-CT can predict prognosis and assisting treatment plan for solitary HCC: better together with radiomics Open
Objectives Noninvasive evaluation and treatment of vessels encapsulating tumor cluster (VETC) HCCs remain challenging. Herein, a new Clinic-Radiologic-Intratumor Radiomics (CRIR) model was investigated for the preoperative prediction of VE…
View article: Population-specific brain charts reveal Chinese-Western differences in neurodevelopmental trajectories
Population-specific brain charts reveal Chinese-Western differences in neurodevelopmental trajectories Open
Human brain charts provide unprecedented opportunities for decoding neurodevelopmental milestones and establishing clinical benchmarks for precision brain medicine 1-7 . However, current lifespan brain charts are primarily derived from Eur…
View article: Deep-learning segmentation and multi-ancestry GWAS enhance genetic discovery of the cerebellum
Deep-learning segmentation and multi-ancestry GWAS enhance genetic discovery of the cerebellum Open
The genetic architecture of cerebellar substructure volumes is crucial for understanding their functions in cognition, emotion, and neuropsychiatric disorders. We utilized deep-learning segmentation and multi-ancestry analysis to identify …
View article: Recurrent Neural Operators: Stable Long-Term PDE Prediction
Recurrent Neural Operators: Stable Long-Term PDE Prediction Open
Neural operators have emerged as powerful tools for learning solution operators of partial differential equations. However, in time-dependent problems, standard training strategies such as teacher forcing introduce a mismatch between train…
View article: Integrating radiomics features and CT semantic characteristics for predicting visceral pleural invasion in clinical stage Ia peripheral lung adenocarcinoma
Integrating radiomics features and CT semantic characteristics for predicting visceral pleural invasion in clinical stage Ia peripheral lung adenocarcinoma Open
Objectives The aim of this study was to non-invasively predict the visceral pleural invasion (VPI) of peripheral lung adenocarcinoma (LA) highly associated with pleura of clinical stage Ia based on preoperative chest computed tomography (C…
View article: Radiomic features and tumor immune microenvironment associated with anaplastic lymphoma kinase-rearranged lung adenocarcinoma and their prognostic value
Radiomic features and tumor immune microenvironment associated with anaplastic lymphoma kinase-rearranged lung adenocarcinoma and their prognostic value Open
Purpose To identify radiomic features from preoperative computed tomography (CT) images and characteristics of the tumor immune microenvironment (TIME) associated with anaplastic lymphoma kinase ( ALK ) rearrangement in patients with lung …
View article: Cross-ancestry and sex-stratified genome-wide association analyses of brain white matter principal components
Cross-ancestry and sex-stratified genome-wide association analyses of brain white matter principal components Open
White matter microstructure determines effective communications across brain regions, which can be better characterized by tract-specific principal components from diffusion tensor imaging data. Although genome-wide associations with tract…
View article: Deep learning model for predicting spread through air spaces of lung adenocarcinoma based on transfer learning mechanism
Deep learning model for predicting spread through air spaces of lung adenocarcinoma based on transfer learning mechanism Open
The STAS-HYBRIDt10 has great potential for the preoperative prediction of STAS and may support decision-making for surgical and therapeutic planning in LUAD.
View article: Differentiating high-grade patterns and predominant subtypes for IASLC grading in invasive pulmonary adenocarcinoma using radiomics and clinical-semantic features
Differentiating high-grade patterns and predominant subtypes for IASLC grading in invasive pulmonary adenocarcinoma using radiomics and clinical-semantic features Open
Objectives The International Association for the Study of Lung Cancer (IASLC) grading system for invasive non-mucinous adenocarcinoma (ADC) incorporates high-grade patterns (HGP) and predominant subtypes (PS). Following the system, this st…
View article: Gadoxetic Acid–enhanced MRI Scoring Model to Predict Pathologic Features of Hepatocellular Carcinoma
Gadoxetic Acid–enhanced MRI Scoring Model to Predict Pathologic Features of Hepatocellular Carcinoma Open
A scoring model based on gadoxetic acid–enhanced MRI enabled noninvasive preoperative prediction of high-risk pathologic features in patients with hepatocellular carcinoma and could be used to predict early recurrence.
View article: PegasosQSVM: A Quantum Machine Learning Approach for Accurate Fake News Detection
PegasosQSVM: A Quantum Machine Learning Approach for Accurate Fake News Detection Open
The rapid spread of fake news on social media poses a significant threat to modern societies. Traditional machine learning approaches have limitations in handling the ever-increasing volume and complexity of data. This research explores qu…