Towards interpretable imaging genomics analysis: methodological developments and applications

X Cen, W Dong, W Lv, Y Zhao, F Dubee, AFA Mentis… - Information …, 2024 - Elsevier
Identifying the relationship between imaging features and genetic variation (a term coined
“imaging genomics”) offers valuable insight into the pathogenesis of cancer, as well as …

Radiomics in breast cancer: Current advances and future directions

YJ Qi, GH Su, C You, X Zhang, Y Xiao, YZ Jiang… - Cell Reports …, 2024 - cell.com
Breast cancer is a common disease that causes great health concerns to women worldwide.
During the diagnosis and treatment of breast cancer, medical imaging plays an essential …

A multi-cohort study of the hippocampal radiomics model and its associated biological changes in Alzheimer's Disease

H Xia, X Luan, Z Bao, Q Zhu, C Wen, M Wang… - Translational …, 2024 - nature.com
There have been no previous reports of hippocampal radiomics features associated with
biological functions in Alzheimer's Disease (AD). This study aims to develop and validate a …

Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study

AG Er, DY Ding, B Er, M Uzun, M Cakmak… - NPJ Digital …, 2024 - nature.com
Through technological innovations, patient cohorts can be examined from multiple views
with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict …

Radiogenomics: bridging the gap between imaging and genomics for precision oncology

W He, W Huang, L Zhang, X Wu, S Zhang… - MedComm, 2024 - Wiley Online Library
Genomics allows the tracing of origin and evolution of cancer at molecular scale and
underpin modern cancer diagnosis and treatment systems. Yet, molecular biomarker …

Pericoronary adipose tissue radiomics features as imaging markers for coronary artery disease risk assessment: insights from gene expression analysis

Y Li, W Zhang, Y Hu, Z Xu, Q Huo, H Qi, Q Liu… - Cardiovascular …, 2024 - Springer
Aims This study aimed to explore the correlation between radiomics features of pericoronary
adipose tissue (PCAT) and gene expression in patients with coronary artery disease (CAD) …

Survival and immune microenvironment prediction of glioma based on MRI imaging genomics method: a retrospective observational study

Z Wang, Y Yuan, T Cui, B Xu, Z Zou, Q Xu, J Yang… - Neurosurgical …, 2025 - Springer
Glioma is characterized by high heterogeneity and poor prognosis. Attempts have been
made to understand its diversity in both genetic expressions and radiomic characteristics …

[HTML][HTML] Multiomics Reveals Biological Mechanisms Linking Macroscale Structural Covariance Network Dysfunction With Neuropsychiatric Symptoms Across the …

J Jiang, K Zhao, W Li, P Zheng, S Jiang, Q Ren… - Biological …, 2024 - Elsevier
Background The highly heterogeneity of neuropsychiatric symptoms (NPSs) hinder further
exploration of their role in neurobiological mechanisms and Alzheimer's disease (AD). We …

[HTML][HTML] Multimodal Biomedical Data Fusion Using Sparse Canonical Correlation Analysis and Cooperative Learning: A Cohort Study on COVID-19

AG Er, DY Ding, B Er, M Uzun, M Cakmak… - Research …, 2023 - ncbi.nlm.nih.gov
Through technological innovations, patient cohorts can be examined from multiple views
with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict …

[HTML][HTML] Imaging-based surrogate classification for risk stratification of hepatocellular carcinoma with microvascular invasion to adjuvant hepatic arterial infusion …

L Ma, C Zhang, Y Wen, K Xing, S Li… - … Journal of Surgery, 2025 - journals.lww.com
Background: Patients with microvascular invasion (MVI)-positive hepatocellular carcinoma
(HCC) have shown promising results with adjuvant hepatic arterial infusion chemotherapy …