Decoding global gene expression programs in liver cancer by noninvasive imaging

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Gene expression profiling predicts clinical outcome of breast cancer

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A Multigene Assay to Predict Recurrence of Tamoxifen-Treated, Node-Negative Breast Cancer

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Gene Expression and Benefit of Chemotherapy in Women With Node-Negative, Estrogen Receptor–Positive Breast Cancer

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Gene expression profiling identifies clinically relevant subtypes of prostate cancer

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Use of Gene-Expression Profiling to Identify Prognostic Subclasses in Adult Acute Myeloid Leukemia

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A preoperative CT-based deep learning radiomics model in predicting the stage, size, grade and necrosis score and outcome in localized clear cell renal cell carcinoma: A multicenter study

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Current Status of Cancer Genomics and Imaging Phenotypes: What Radiologists Need to Know

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Robustness of radiomics features of virtual unenhanced and virtual monoenergetic images in dual-energy CT among different imaging platforms and potential role of CT number variability

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Special Section Guest Editorial:Radiomics and Imaging Genomics: Quantitative Imaging for Precision Medicine

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Habitat escalated adaptive therapy (HEAT): a phase 2 trial utilizing radiomic habitat-directed and genomic-adjusted radiation dose (GARD) optimization for high-grade soft tissue sarcoma

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Feasibility of MRI Radiomics for Predicting KRAS Mutation in Rectal Cancer

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Radiogenomics of gastroenterological cancer: The dawn of personalized medicine with artificial intelligence‐based image analysis

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Using deep neural networks and interpretability methods to identify gene expression patterns that predict radiomic features and histology in non-small cell lung cancer

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CT-Based Radiomics Nomogram Improves Risk Stratification and Prediction of Early Recurrence in Hepatocellular Carcinoma After Partial Hepatectomy

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A diagnosis model in nasopharyngeal carcinoma based on PET/MRI radiomics and semiquantitative parameters

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CT texture analysis in predicting treatment response and survival in patients with hepatocellular carcinoma treated with transarterial chemoembolization using random forest models

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A Reliable and Repeatable Model for Predicting Microvascular Invasion in Patients With Hepatocellular Carcinoma

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Targeted Near-Infrared Fluorescence Imaging of Liver Cancer using Dual-Peptide-Functionalized Albumin Particles

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Integrated epigenomic analyses of enhancer as well as promoter regions in gastric cancer

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Current Landscape of Breast Cancer Imaging and Potential Quantitative Imaging Markers of Response in ER-Positive Breast Cancers Treated with Neoadjuvant Therapy

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Radiomics approach for survival prediction in chronic obstructive pulmonary disease

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Impact of intra-individual molecular heterogeneity in personalized treatment of hepatocellular carcinoma

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MRI‐based clinical‐radiomics nomogram model for predicting microvascular invasion in hepatocellular carcinoma

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Detection and Analysis of Lung Cancer Using Radiomic Approach

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A radiomics prognostic scoring system for predicting progression-free survival in patients with stage IV non-small cell lung cancer treated with platinum-based chemotherapy

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Recent advances in data-driven fusion of multi-modal imaging and genomics for precision medicine

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Pseudo progression identification of glioblastoma with dictionary learning

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An Introduction to Radiomics: An Evolving Cornerstone of Precision Medicine

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Using deep neural networks for radiogenomic analysis

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Radiomics, Radiogenomics, and Next-Generation Molecular Imaging to Augment Diagnosis of Hepatocellular Carcinoma

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Correlation between NF1 genotype and imaging phenotype on whole-body MRI

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Radiomics++: Review of Habitat Imaging Analysis for Decoding Tumor Heterogeneity

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Development and validation of a CECT-based radiomics model for predicting IL1B expression and prognosis of head and neck squamous cell carcinoma

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Preoperative detection of hepatocellular carcinoma's microvascular invasion on CT-scan by machine learning and radiomics: A preliminary analysis

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Impact of current staging systems on treatment strategy for HBV-related hepatocellular carcinoma

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Predicting Genomic Alterations of Phosphatidylinositol-3 Kinase Signaling in Hepatocellular Carcinoma: A Radiogenomics Study Based on Next-Generation Sequencing and Contrast-Enhanced CT

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Unsupervised Deconvolution of Dynamic Imaging Reveals Intratumor Vascular Heterogeneity and Repopulation Dynamics

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Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma

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Interreader Variability in Semantic Annotation of Microvascular Invasion in Hepatocellular Carcinoma on Contrast-enhanced Triphasic CT Images

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Radiomics in Hepatocellular Carcinoma

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Putting the “More” Back in Morphology: Spectral Imaging and Image Analysis in the Service of Pathology

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Integration of Network Biology and Imaging to Study Cancer Phenotypes and Responses

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iTRAQ-Based Proteomics Identification of Serum Biomarkers of Two Chronic Hepatitis B Subtypes Diagnosed by Traditional Chinese Medicine

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Decoding Genes: Current Update on Radiogenomics of Select Abdominal Malignancies

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Radiomics in Head and Neck Cancer: Extracting Valuable Information from Data beyond Recognition

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Habitat-aware radiomics and adaptive 2.5D deep learning predict treatment response and long-term survival in ESCC patients undergoing neoadjuvant chemoimmunotherapy

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Prediction of Response to Anti-Angiogenic Treatment for Advanced Colorectal Cancer Patients: From Biological Factors to Functional Imaging

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Pushing CT and MR Imaging to the Molecular Level for Studying the “Omics”: Current Challenges and Advancements

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The challenges of integrating molecular imaging into the optimization of cancer therapy

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The Value of TTPVI in Prediction of Microvascular Invasion in Hepatocellular Carcinoma

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Imaging Biomarkers and Gene Expression Data Correlation Framework for Lung Cancer Radiogenomics Analysis Based on Deep Learning

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Role of radiomics in the diagnosis and treatment of gastrointestinal cancer

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Radiomics predicts clinical outcome in primary gastroesophageal junction adenocarcinoma treated by chemo/radiotherapy and surgery

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Radiomics: Big Data statt Biopsie in der Zukunft?

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The Future of Radiation Oncology in Soft Tissue Sarcoma

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Emergence of Radiomics: Novel Methodology Identifying Imaging Biomarkers of Disease in Diagnosis, Response, and Progression.

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Potential Application of Radiomics for Differentiating Solitary Pulmonary Nodules

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Receptor-based Surrogate Subtypes and Discrepancies with Breast Cancer Intrinsic Subtypes: Implications for Image Biomarker Development

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Angiogenesis in biliary tract cancer: targeting and therapeutic potential

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A Predictive Nomogram of Early Recurrence for Patients with AFP-Negative Hepatocellular Carcinoma Underwent Curative Resection

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Systems Biology and Noninvasive Imaging of Atherosclerosis

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Wie funktioniert Radiomics?

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Imaging-AMARETTO: An Imaging Genomics Software Tool to Interrogate Multiomics Networks for Relevance to Radiography and Histopathology Imaging Biomarkers of Clinical Outcomes

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Relationship between tumor mutational burden and maximum standardized uptake value in 2-[18F]FDG PET (positron emission tomography) scan in cancer patients

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Development of a novel tumor microenvironment-related radiogenomics model for prognosis prediction in hepatocellular carcinoma

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Added value of CE-CT radiomics to predict high Ki-67 expression in hepatocellular carcinoma

Zhao, Y., Xie, S.-S., Wang, J., Zhang, Y., Li, W., Ye, Z., & Shen, W. (2023) · BMC Medical Imaging · doi:10.1186/s12880-023-01069-4 · Cited by 12

Radiomics model based on contrast-enhanced computed tomography imaging for early recurrence monitoring after radical resection of AFP-negative hepatocellular carcinoma

Yan, X., Li, Y., Qin, W., Liao, J., Fan, J., Xie, Y., Wang, Z., Li, S., & Liao, W. (2024) · BMC Cancer · doi:10.1186/s12885-024-12436-x · Cited by 12

MRI-based prediction of microvascular invasion/high tumor grade and adjuvant therapy benefit for solitary HCC ≤ 5 cm: a multicenter cohort study

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Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma

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MRI Fat‐Saturated T2‐Weighted Radiomics Model for Identifying the Ki‐67 Index of Soft Tissue Sarcomas

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A Discriminative Distance Learning–Based CBIR Framework for Characterization of Indeterminate Liver Lesions

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Integrative Analysis of mRNA, microRNA, and Protein Correlates of Relative Cerebral Blood Volume Values in GBM Reveals the Role for Modulators of Angiogenesis and Tumor Proliferation

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A radiogenomic analysis of hepatocellular carcinoma: association between fractional allelic imbalance rate index and the liver imaging reporting and data system (LI-RADS) categories and features

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Discovering and interpreting transcriptomic drivers of imaging traits using neural networks

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Regenerative medicine: a surgeon's perspective

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Personalized intrahepatic cholangiocarcinoma prognosis prediction using radiomics: Application and development trend

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Intertumoral Heterogeneity Based on MRI Radiomic Features Estimates Recurrence in Hepatocellular Carcinoma

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Imaging-based surrogate classification for risk stratification of hepatocellular carcinoma with microvascular invasion to adjuvant hepatic arterial infusion chemotherapy: a multicenter retrospective study

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Comprehensive Analysis of Radiomic Datasets by RadAR

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Radiogenomic imaging-linking diagnostic imaging and molecular diagnostics

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Radiomics in Medical Imaging—Detection, Extraction and Segmentation

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