A CT-based Radiomics Signature is Associated with Response to Immune Checkpoint Inhibitors in Advanced Solid Tumors

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An Imaging Feature Predicts Efficacy of Atezolizumab Plus Bevacizumab in Unresectable Hepatocellular Carcinoma

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Computed Tomography-Based Radiomics for Long-Term Prognostication of High-Risk Localized Prostate Cancer Patients Received Whole Pelvic Radiotherapy

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Automatic machine learning accurately predicts the efficacy of immunotherapy for patients with inoperable advanced non-small cell lung cancer using a computed tomography-based radiomics model

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Radiomics features on computed tomography reflect thrombus histological age prior to endovascular treatment of acute ischemic stroke

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Development and Validation of a New Staging System for Esophageal Squamous Cell Carcinoma Patients Based on Combined Pathological TNM, Radiomics, and Proteomics

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Body Composition and Radiomics From 18F-FDG PET/CT Together Help Predict Prognosis for Patients With Stage IV Non–Small Cell Lung Cancer

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Addressing Inter-reconstruction variability in multi-energy myocardial CT Radiomics: The Benefits of combat harmonization

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CT-based different regions of interest radiomics analysis for acute radiation pneumonitis in patients with locally advanced NSCLC after chemoradiotherapy

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The Society for Immunotherapy of Cancer Perspective on Liquid Biopsy– and Radiomics-Based Technologies for Immuno-oncology Biomarker Discovery and Application

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MRI-derived radiomics model for predicting intratumoral tertiary lymphoid structures in soft tissue sarcoma

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CT-based radiomics nomogram for differentiating gastric hepatoid adenocarcinoma from gastric adenocarcinoma: a multicentre study

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CT radiomics can predict disease progression within 6 months after chimeric antigen receptor-modified T-cell therapy in relapsed/refractory B-cell non-Hodgkin's lymphoma patients

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Radiomics-based prediction of response to immune checkpoint inhibitor treatment for solid cancers using computed tomography: a real-world study of two centers

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CT perfusion as a potential biomarker for pancreatic ductal adenocarcinoma during routine staging and restaging

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PMSG-Net: A priori-guided multilevel graph transformer fusion network for immunotherapy efficacy prediction

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Pretreatment radiomic imaging features combined with immunological indicators to predict targeted combination immunotherapy response in advanced hepatocellular carcinoma

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Discriminating Clear Cell From Non-Clear Cell Renal Cell Carcinoma: A Machine Learning Approach Using Contrast-enhanced Ultrasound Radiomics

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Molecular markers for the efficacy of neoadjuvant immunotherapy for head and neck squamous cell carcinoma

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Development and validation of a CT-based radiomics model for differentiating pneumonia-like primary pulmonary lymphoma from infectious pneumonia: A multicenter study

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Radiomics nomogram combined with clinical factors for predicting pathological complete response in resectable esophageal squamous cell carcinoma

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MRI-Based Machine Learning and Radiomics Methods for Assessing Spinal Cord Function in Patients with Mild Cervical Spondylotic Myelopathy

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Radiomics in Gynaecological Imaging: A State-of-the-Art Review

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Different MRI-based radiomics machine learning models to predict CD3+ tumor-infiltrating lymphocytes in rectal cancer

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Establishing a Survival Time Prediction Model for Patients with Hepatocellular Carcinoma After TACE Based on CT Radiomics: A Multi-Center Study

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Contrast Agent Dynamics Determine Radiomics Profiles in Oncologic Imaging

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Development of a radiomics nomogram to predict the treatment resistance of Chinese MPO-AAV patients with lung involvement: a two-center study

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Imaging Biomarkers to Assess Response to Immune Checkpoint Inhibitors in Solid Tumors to Tailor Therapy.

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Radiomic Analysis Applied to Pretreatment Gd-EOB-DTPA-enhanced MR Imaging Predicts Response to Selective Transcatheter Arterial Chemoembolization for Hepatocellular Carcinoma

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A radiomics-driven machine learning model for predicting bladder cancer prognosis identifies genes associated with radiomic features

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Multi-modal gradual fusion transformer-based model for predicting immunotherapy response in patients with hepatocellular carcinoma

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Predicting overall survival after initial chemotherapy for diffuse large B-cell lymphoma using CT nomogram analysis

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CT data harmonization via learned virtual monoenergetic imaging for cross‐kV scan translation and radiomics reproducibility

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Independent Testing of Published CT Models for PD-L1 Status in Non–Small Cell Lung Cancer

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Magnetic resonance imaging radiomic phenotypes stratify response and define immune states in very high‐risk, nonmuscle–invasive bladder cancer treated with tislelizumab plus nanoparticle albumin‐bound paclitaxel

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Imaging the hallmarks of cancer

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Radiomics for the Detection and Prediction of Cancer Therapy-Related Cardiotoxicity

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Radiomics Analysis for Clinical Decision Support in 177Lu-DOTATATE Therapy of Metastatic Neuroendocrine Tumors using CT Images

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AI-Assisted Immunology for Precision Cancer Medicine

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Editorial Commentary: Baseline Radiomic Signature to Estimate Overall Survival in Patients With NSCLC

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The Role of CT-Based Radiomics in Precise Imaging of Renal Cancer

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Response to: Correspondence on 'Novel imaging biomarkers predict outcomes in stage III unresectable non-small cell lung cancer treated with chemoradiation and durvalumab' by Zheng et al

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Deep Learning CT Signature Predicts Benefit from Immunotherapy in Metastatic NSCLC Independent of Standard Clinicopathological MarkersPreprint

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The Utility of Radiomics in Predicting Response to Cancer Immunotherapy

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A nomogram based on radiomics for predicting the high-grade histologic patterns in pure-solid clinical stage IA lung adenocarcinomaPreprint

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The Role of CT Radiomics Analysis in Predicting Overall Survival Following initial Chemotherapy for Diffuse Large B-cell LymphomaPreprint

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KI in der Medizin: Begrifflichkeiten, Chancen und Risiken

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Different MRI-based radiomics machine learning models to predict CD3+ Tumor-infiltrating Lymphocytes (TILs) in rectal cancerPreprint

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Multimodal Deep Learning-Based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain Metastases

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Development and validation of an individualized nomogram for predicting distant metastases in gastric cancer using a CT radiomics-clinical model

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Multicenter Radiomic Feature-Based Prediction of PD-L1 Status in Lung Cancer Using Multimodal PET/CT

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Integrative AI Model Combining Radiomics and Phenomics to Predict Survival in Non-Small Cell Lung Cancer Patients Treated with Immunotherapy Containing RegimenPreprint

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Artificial intelligence combining radiomics and clinical data for predicting response to immunotherapy

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Radiomics-based prediction of response to immune checkpoint inhibitor treatment for solid cancers using computed tomography: a real-world study of two centers

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Prediction of response to immune checkpoint inhibitors in solid tumours using CT-based biomarkers

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CT-Based Peritumoral and Intratumoral Radiomics as Pretreatment Predictors of Atypical Responses to Immune Checkpoint Inhibitor Across Tumor Types: A Preliminary Multicenter Study

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Development of a predictive radiomics signature for response to immune checkpoint inhibitors (ICIs) in patients with recurrent or metastatic squamous cell carcinoma of the head and neck (RM-SCCHN)

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