Magnetic resonance radiomic feature performance in pulmonary nodule classification and impact of segmentation variability on radiomics

Pulmonary MRI Radiomics and Machine Learning: Effect of Intralesional Heterogeneity on Classification of Lesion

(2021) Xinhui Wang et al.   ACADEMIC RADIOLOGY

Lung Nodule Classification Using Biomarkers, Volumetric Radiomics, and 3D CNNs

(2021) Kushal Mehta et al.   JOURNAL OF DIGITAL IMAGING

Impact of rescanning and repositioning on radiomic features employing a multi-object phantom in magnetic resonance imaging

(2021) Simon Bernatz et al.   Scientific Reports

The Growing Role for Semantic Segmentation in Urology

(2021) Jack Rickman et al.   European Urology Focus

Preliminary study of 3 T-MRI native T1-mapping radiomics in differential diagnosis of non-calcified solid pulmonary nodules/masses

(2021) Qinqin Yan et al.   Cancer Cell International

Radiomics nomogram analysis of T2-fBLADE-TSE in pulmonary nodules evaluation

(2021) Shuyi Yang et al.   MAGNETIC RESONANCE IMAGING

Deep Vision for Breast Cancer Classification and Segmentation

(2021) Lawrence Fulton et al.   Cancers

Elaboration of a multimodal MRI-based radiomics signature for the preoperative prediction of the histological subtype in patients with non-small-cell lung cancer

(2020) Xing Tang et al.   Biomedical Engineering Online

Automated Meningioma Segmentation in Multiparametric MRI

(2020) Kai Roman Laukamp et al.   Clinical Neuroradiology

Manual prostate cancer segmentation in MRI: interreader agreement and volumetric correlation with transperineal template core needle biopsy

(2020) Marc R. Liechti et al.   EUROPEAN RADIOLOGY

Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods

(2020) Xinhui Wang et al.   EUROPEAN RADIOLOGY

Motion correction and noise removing in lung diffusion-weighted MRI using low-rank decomposition

(2020) Xinhui Wang et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Diffusion-weighted Imaging Voxelwise-matched Analyses of Lung Cancer at 3.0-T PET/MRI: Reverse Phase Encoding Approach for Echo-planar Imaging Distortion Correction

(2020) Florent L. Besson et al.   RADIOLOGY

Outcompeting p53-Mutant Cells in the Normal Esophagus by Redox Manipulation

(2019) David Fernandez-Antoran et al.   Cell Stem Cell

Comparison of machine learning classifiers for differentiation of grade 1 from higher gradings in meningioma: A multicenter radiomics study

(2019) Gordian Hamerla et al.   MAGNETIC RESONANCE IMAGING

Machine learning algorithm validation with a limited sample size

(2019) Andrius Vabalas et al.   PLoS One

Joint B0 and image estimation integrated with model based reconstruction for field map update and distortion correction in prostate diffusion MRI

(2019) Muhammad Usman et al.   MAGNETIC RESONANCE IMAGING

Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI

(2018) Kai Roman Laukamp et al.   EUROPEAN RADIOLOGY

Joint groupwise registration and ADC estimation in the liver using a B-value weighted metric

(2018) Santiago Sanz-Estébanez et al.   MAGNETIC RESONANCE IMAGING

Radiomic features analysis in computed tomography images of lung nodule classification

(2018) Chia-Hung Chen et al.   PLoS One

Robustness and Reproducibility of Radiomics in Magnetic Resonance Imaging

(2018) Bettina Baeßler et al.   INVESTIGATIVE RADIOLOGY

Can MRI contribute to pulmonary nodule analysis?

(2018) Chi Wan Koo et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Fluorine 18–FDG PET/CT and Diffusion-weighted MRI for Malignant versus Benign Pulmonary Lesions: A Meta-Analysis

(2018) Adriano Basso Dias et al.   RADIOLOGY

Primary Rectal Cancer: Repeatability of Global and Local-Regional MR Imaging Texture Features

(2017) Sofia Gourtsoyianni et al.   RADIOLOGY

Diagnostic classification of solitary pulmonary nodules using dual time 18F-FDG PET/CT image texture features in granuloma-endemic regions

(2017) Song Chen et al.   Scientific Reports

Nonrigid Registration of Prostate Diffusion-Weighted MRI

(2017) Lei Hao et al.   Journal of Healthcare Engineering

Magnetic Resonance Imaging of Part-solid Nodules

(2016) Chi Wan Koo et al.   JOURNAL OF THORACIC IMAGING

Recent Trends in the Identification of Incidental Pulmonary Nodules

(2015) Michael K. Gould et al.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE

Solitary Pulmonary Nodules: Comparison of Dynamic First-Pass Contrast-enhanced Perfusion Area-Detector CT, Dynamic First-Pass Contrast-enhanced MR Imaging, and FDG PET/CT

(2015) Yoshiharu Ohno et al.   RADIOLOGY

Computationally efficient confidence intervals for cross-validated area under the ROC curve estimates

(2015) Erin LeDell et al.   Electronic Journal of Statistics

Accuracy of FDG-PET to Diagnose Lung Cancer in Areas With Infectious Lung Disease

(2014) Stephen A. Deppen et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Diffusion-Weighted MRI Versus 18F-FDG PET/CT: Performance as Predictors of Tumor Treatment Response and Patient Survival in Patients With Non–Small Cell Lung Cancer Receiving Chemoradiotherapy

(2011) Yoshiharu Ohno et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening

(2011)   NEW ENGLAND JOURNAL OF MEDICINE

Differentiation between malignancy and inflammation in pulmonary ground-glass nodules: The feasibility of integrated 18F-FDG PET/CT

(2009) Eun Ju Chun et al.   LUNG CANCER

Exposure to Low-Dose Ionizing Radiation from Medical Imaging Procedures

(2009) Reza Fazel et al.   NEW ENGLAND JOURNAL OF MEDICINE

Diffusion-Weighted Magnetic Resonance Imaging for Diagnosing Malignant Pulmonary Nodules/Masses: Comparison with Positron Emission Tomography

(2008) Takeshi Mori et al.   Journal of Thoracic Oncology

MRI of pulmonary nodules: technique and diagnostic value

(2008) Juergen Biederer   CANCER IMAGING