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Contrast-Enhanced CT-Based Radiomics Analysis in Predicting Lymphovascular Invasion in Esophageal Squamous Cell Carcinoma



Preoperative prediction of regional lymph node metastasis of colorectal cancer based on 18F-FDG PET/CT and machine learning


Ct Radiomic sentence examples within machine learning model



Predicting the Local Response of Esophageal Squamous Cell Carcinoma to Neoadjuvant Chemoradiotherapy by Radiomics with a Machine Learning Method Using 18F-FDG PET Images



Development and Validation of a Radiomics Model for Differentiating Bone Islands and Osteoblastic Bone Metastases at Abdominal CT.


Ct Radiomic sentence examples within Preoperative Ct Radiomic



CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal Adenocarcinoma.



A CT-Based Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Periampullary Carcinomas




Ct Radiomic sentence examples within Conclusion Ct Radiomic



CT Radiomics Model for Discriminating the Risk Stratification of Gastrointestinal Stromal Tumors: A Multi-Class Classification and Multi-Center Study



Radiomics allows for detection of benign and malignant histopathology in patients with metastatic testicular germ cell tumors prior to post-chemotherapy retroperitoneal lymph node dissection


Ct Radiomic sentence examples within Quantitative Ct Radiomic



Diagnostic Accuracy and Failure Mode Analysis of a Deep Learning Algorithm for the Detection of Intracranial Hemorrhage.



Preliminary value of CT radiomics in predicting anaplastic lymphoma kinase fusion gene expression in lung adenocarcinoma


Ct Radiomic sentence examples within Cardiac Ct Radiomic



Radiomics: The Next Frontier of Cardiac Computed Tomography.



Radiomics


Ct Radiomic sentence examples within Chest Ct Radiomic



CT radiomics facilitates more accurate diagnosis of COVID-19 pneumonia: compared with CO-RADS



Differentiation between COVID‐19 and bacterial pneumonia using radiomics of chest computed tomography and clinical features


Ct Radiomic sentence examples within Treatment Ct Radiomic



A predictive model for pain response following radiotherapy for treatment of spinal metastases



Prognostic Value of Pre-Treatment CT Radiomics and Clinical Factors for the Overall Survival of Advanced (IIIB–IV) Lung Adenocarcinoma Patients


Ct Radiomic sentence examples within Enhanced Ct Radiomic



Early recognition of necrotizing pneumonia in children based on non-contrast-enhanced computed tomography radiomics signatures.



A Novel Radiogenomics Biomarker Based on Hypoxic-Gene Subset: Accurate Survival and Prognostic Prediction of Renal Clear Cell Carcinoma


Ct Radiomic sentence examples within ct radiomic feature



Preoperative prediction of regional lymph node metastasis of colorectal cancer based on 18F-FDG PET/CT and machine learning



Radiomics and gene expression profile to characterise the disease and predict outcome in patients with lung cancer


Ct Radiomic sentence examples within ct radiomic signature



Development and Validation of a Radiomic Nomogram for Predicting the Prognosis of Kidney Renal Clear Cell Carcinoma



MRI-based radiomics as response predictor to radiochemotherapy for metastatic cervical lymph node in nasopharyngeal carcinoma.


Ct Radiomic sentence examples within ct radiomic model



Computed Tomography-Based Radiomics Model for Predicting the WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma Preoperatively: A Multicenter Study



Machine Learning-Based CT Radiomics Analysis for Prognostic Prediction in Metastatic Non-Small Cell Lung Cancer Patients With EGFR-T790M Mutation Receiving Third-Generation EGFR-TKI Osimertinib Treatment


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10.1088/1361-6560/abe735

Computer-aided diagnosis of ground glass pulmonary nodule by fusing deep learning and radiomics features


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10.1016/j.ejrad.2021.109956

CT-based radiomics for differentiating invasive adenocarcinomas from indolent lung adenocarcinomas appearing as ground-glass nodules: Asystematic review.


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10.1007/s00330-020-07590-2

Validation of CT radiomics for prediction of distant metastasis after surgical resection in patients with clear cell renal cell carcinoma: exploring the underlying signaling pathways


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10.1038/s41598-021-90367-4

Integrative nomogram of intratumoral, peritumoral, and lymph node radiomic features for prediction of lymph node metastasis in cT1N0M0 lung adenocarcinomas


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10.1177/0036850421997295

A radiomics model of predicting tumor volume change of patients with stage III non-small cell lung cancer after radiotherapy


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10.1007/s00259-020-05119-9

Radiomics analysis of [18F]FDG PET/CT for microvascular invasion and prognosis prediction in very-early- and early-stage hepatocellular carcinoma


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10.3390/cancers13194809

Multi-Stage Harmonization for Robust AI across Breast MR Databases


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10.1016/j.radonc.2021.05.002

Deciphering the glioblastoma phenotype by Computed Tomography radiomics.


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10.1259/bjr.20210525

A prediction model for degree of differentiation for resectable locally advanced esophageal squamous cell carcinoma based on CT images using radiomics and machine-learning.


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10.1016/j.acra.2021.04.013

Radiomics Analysis for Predicting Malignant Potential of Intraductal Papillary Mucinous Neoplasms of the Pancreas: Comparison of CT and MRI.


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10.3389/fonc.2021.702055

Quantitative Prediction of Microsatellite Instability in Colorectal Cancer With Preoperative PET/CT-Based Radiomics


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10.3390/cancers13123088

The Challenge of Choosing the Best Classification Method in Radiomic Analyses: Recommendations and Applications to Lung Cancer CT Images


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10.1007/s00261-021-03287-2

Comparison of clinical-computed tomography model with 2D and 3D radiomics models to predict occult peritoneal metastases in advanced gastric cancer


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10.1016/j.ijrobp.2021.07.545

Integrating Preoperative CT and Clinical Factors for Lymph Node Metastasis Prediction in Esophageal Cancer by Feature-Wise Attentional Graph Neural Network (FAGNN).


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10.3892/mco.2021.2407

Machine learning-based multiparametric traditional multislice computed tomography radiomics for improving the discrimination of parotid neoplasms.


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10.1186/s13550-021-00760-3

Preoperative prediction of pathological grade in pancreatic ductal adenocarcinoma based on 18F-FDG PET/CT radiomics


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10.1109/I2MTC50364.2021.9460048

Prediction of ki-67 expression level based on non-small cell lung cancer


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10.3390/cancers13123015

Systematic Review on the Association of Radiomics with Tumor Biological Endpoints


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10.1016/j.ejrad.2021.109710

CT radiomics-based prediction of anaplastic lymphoma kinase and epidermal growth factor receptor mutations in lung adenocarcinoma.


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10.21203/rs.3.rs-839717/v1

The Value of CT Radiomics Nomogram Analysis of Parenchyma Surrounding Pulmonary Nodules in the Differentiation of Inflammatory Nodules from Tuberculous Nodules


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10.1007/s00261-021-02992-2

MRI-Based Radiomics: Nomograms predicting the short-term response after transcatheter arterial chemoembolization (TACE) in hepatocellular carcinoma patients with diameter less than 5 cm


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10.3389/fonc.2021.759897

Habitat Imaging-Based 18F-FDG PET/CT Radiomics for the Preoperative Discrimination of Non-small Cell Lung Cancer and Benign Inflammatory Diseases


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10.1016/j.ejrad.2021.109551

CT texture analysis of vulnerable plaques on optical coherence tomography.


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10.1097/MNM.0000000000001437

Improved 18-FDG PET/CT diagnosis of multiple myeloma diffuse disease by radiomics analysis


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10.1007/s00330-021-07826-9

Quantitative CT radiomics-based models for prediction of haematoma expansion and poor functional outcome in primary intracerebral haemorrhage


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10.5603/rpor.a2021.0092

Outcomes and computed tomography radiomic features extraction in soft tissue sarcomas treated with neoadjuvant radiation therapy


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10.1016/j.acra.2021.07.008

Characterization of Benign and Malignant Pancreatic Lesions with DECT Quantitative Metrics and Radiomics.


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10.1200/JCO.2021.39.15_SUPPL.E16093

Improved lymph node metastasis prediction from preoperative esophageal squamous cell cancer CT by graph attention convolutional neural network (GACNN).



Preoperative prediction for lauren type of gastric cancer: A radiomics nomogram analysis based on CT images and clinical features.


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10.21203/rs.3.rs-150873/v1

Application of First-Order Feature Analysis of DWI-ADC in Rare Malignant Mesenchymal Tumours of the Maxillofacial Region


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10.3389/fonc.2021.642892

Preoperative Nomogram for Differentiation of Histological Subtypes in Ovarian Cancer Based on Computer Tomography Radiomics


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10.1038/s41598-021-93792-7

Automatic segmentation of uterine endometrial cancer on multi-sequence MRI using a convolutional neural network


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10.1158/1538-7445.AM2021-SY05-03

Abstract SY05-03: Radiomics of immune therapy in NSCLC



Prognostic value of CT radiomics in evaluating lymphovascular invasion in rectal cancer: Diagnostic performance based on different volumes of interest.


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10.1016/j.patcog.2018.11.011

Random forest dissimilarity based multi-view learning for Radiomics application


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10.1155/2019/3616852

Radiomics Signatures of Computed Tomography Imaging for Predicting Risk Categorization and Clinical Stage of Thymomas



A Platform for Collection and Analysis of Image Data on Stroke


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10.1148/radiol.2019181960

Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses.


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10.1007/978-3-030-32245-8_27

Radiomics-guided GAN for Segmentation of Liver Tumor Without Contrast Agents


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10.1186/s12859-019-2929-8

Machine learning with the TCGA-HNSC dataset: improving usability by addressing inconsistency, sparsity, and high-dimensionality


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10.1007/s00330-019-06371-w

A radiogenomics signature for predicting the clinical outcome of bladder urothelial carcinoma


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10.1371/journal.pone.0222509

Radiomics features of the primary tumor fail to improve prediction of overall survival in large cohorts of CT- and PET-imaged head and neck cancer patients


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10.1109/ICMA.2019.8816280

Prediction of Benign and Malignant Thymic Tumors based on Radiomics Features


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10.1109/EMBC.2019.8856356

Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data


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10.1007/s11547-019-01100-1

Invasive ductal breast cancer: preoperative predict Ki-67 index based on radiomics of ADC maps


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10.3760/CMA.J.ISSN.2095-2848.2019.01.002

Predicative value of radiomics nomogram based on 18F-FDG PET/CT for the prognosis of patients with postoperative gastric carcinoma


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10.1016/j.ejrad.2019.108738

Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade.


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10.1109/JBHI.2018.2841992

Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features


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10.1016/j.acra.2019.10.015

Intratumor Heterogeneity Assessed by 18F-FDG PET/CT Predicts Treatment Response and Survival Outcomes in Patients with Hodgkin Lymphoma.


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10.1007/s00330-019-06368-5

Radiomics analysis using contrast-enhanced CT for preoperative prediction of occult peritoneal metastasis in advanced gastric cancer


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10.2147/CMAR.S232473

Application of Radiomics for Personalized Treatment of Cancer Patients



Radiomics study for differentiating gastric cancer from gastric stromal tumor based on contrast-enhanced CT images.


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10.1016/j.acra.2019.10.020

Prediction of the Depth of Tumor Invasion in Gastric Cancer: Potential Role of CT Radiomics.


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10.1038/s41598-019-46286-6

Radiogenomics-based cancer prognosis in colorectal cancer


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10.3760/CMA.J.ISSN.1671-8925.2019.12.010

Perihematomal edema in basal ganglia intracerebral hemorrhage by using radiomics approach of CT images


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10.1259/bjr.20190271

Comparison of radiomics tools for image analyses and clinical prediction in nasopharyngeal carcinoma


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10.1117/1.JMI.6.2.021606

Design and fabrication of heterogeneous lung nodule phantoms for assessing the accuracy and variability of measured texture radiomics features in CT


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10.3760/CMA.J.ISSN.1000-6702.2019.12.003

Establishment of WHO/ISUP grading prediction model for renal clear cell carcinoma based on CT radiomics



Correlation between CT based radiomics features and gene expression data in non-small cell lung cancer.



Interchangeability of radiomic features between [18F]‐FDG PET/CT and [18F]‐FDG PET/MR


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10.1007/s00330-019-06398-z

CT radiomics nomogram for the preoperative prediction of lymph node metastasis in gastric cancer


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10.1136/gutjnl-2019-iddfabstracts.251

IDDF2019-ABS-0063 A difference-in-difference based CT radiomics algorithm for detecting recurrence of hepatocellular carcinoma after resection or ablation: an exploratory analysis


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10.1016/J.EJRAD.2019.06.025

Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.


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