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Title
Machine and deep learning methods for radiomics
Authors
Keywords
-
Journal
MEDICAL PHYSICS
Volume 47, Issue 5, Pages -
Publisher
Wiley
Online
2020-05-17
DOI
10.1002/mp.13678
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Note: Only part of the references are listed.- Prostate cancer classification with multiparametric MRI transfer learning model
- (2019) Yixuan Yuan et al. MEDICAL PHYSICS
- Development and validation of a radiomic signature to predict HPV (p16) status from standard CT imaging: a multicenter study
- (2018) Ralph TH Leijenaar et al. BRITISH JOURNAL OF RADIOLOGY
- LIFEx: a freeware for radiomic feature calculation in multimodality imaging to accelerate advances in the characterization of tumor heterogeneity
- (2018) Christophe Nioche et al. CANCER RESEARCH
- Value of texture analysis based on enhanced MRI for predicting an early therapeutic response to transcatheter arterial chemoembolisation combined with high-intensity focused ultrasound treatment in hepatocellular carcinoma
- (2018) J.Y. Yu et al. CLINICAL RADIOLOGY
- Radiomics-based features for pattern recognition of lung cancer histopathology and metastases
- (2018) José Raniery Ferreira Junior et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Radiomics based detection and characterization of suspicious lesions on full field digital mammograms
- (2018) Suhas G. Sapate et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications
- (2018) Hang Chang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings
- (2018) Ahmad Algohary et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Radiomics and radiogenomics for precision radiotherapy
- (2018) Jia Wu et al. JOURNAL OF RADIATION RESEARCH
- Distributed deep learning networks among institutions for medical imaging
- (2018) Ken Chang et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Deep learning for segmentation of brain tumors: Impact of cross-institutional training and testing
- (2018) Ehab A. AlBadawy et al. MEDICAL PHYSICS
- Discriminatively boosted image clustering with fully convolutional auto-encoders
- (2018) Fengfu Li et al. PATTERN RECOGNITION
- Evaluation of radiomic texture feature error due to MRI acquisition and reconstruction: A simulation study utilizing ground truth
- (2018) Fei Yang et al. Physica Medica-European Journal of Medical Physics
- Predicting hypoxia status using a combination of contrast-enhanced computed tomography and [ 18 F]-Fluorodeoxyglucose positron emission tomography radiomics features
- (2018) Mireia Crispin-Ortuzar et al. RADIOTHERAPY AND ONCOLOGY
- Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer
- (2018) Tim Lustberg et al. RADIOTHERAPY AND ONCOLOGY
- Radiomics analysis at PET/CT contributes to prognosis of recurrence and survival in lung cancer treated with stereotactic body radiotherapy
- (2018) Anastasia Oikonomou et al. Scientific Reports
- A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study
- (2018) Roger Sun et al. LANCET ONCOLOGY
- The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitis
- (2018) Shane P. Krafft et al. MEDICAL PHYSICS
- Radiomic Machine Learning for Characterization of Prostate Lesions with MRI: Comparison to ADC Values
- (2018) David Bonekamp et al. RADIOLOGY
- Radiomics of US texture features in differential diagnosis between triple-negative breast cancer and fibroadenoma
- (2018) Si Eun Lee et al. Scientific Reports
- Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing
- (2018) Grzegorz Chlebus et al. Scientific Reports
- Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats
- (2018) Sandy Napel et al. CANCER
- Repeatability of 18 F-FDG PET radiomic features: A phantom study to explore sensitivity to image reconstruction settings, noise, and delineation method
- (2018) Elisabeth Pfaehler et al. MEDICAL PHYSICS
- Predicting clinically significant prostate cancer using DCE-MRI habitat descriptors
- (2018) Andres N. Parra et al. Oncotarget
- Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study
- (2018) Ahmed Hosny et al. PLOS MEDICINE
- A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images
- (2017) Zijian Zhang et al. EUROPEAN RADIOLOGY
- Fully Convolutional Networks for Semantic Segmentation
- (2017) Evan Shelhamer et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Computed Tomography Radiomics Predicts HPV Status and Local Tumor Control After Definitive Radiochemotherapy in Head and Neck Squamous Cell Carcinoma
- (2017) Marta Bogowicz et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Quantitative Image Feature Engine (QIFE): an Open-Source, Modular Engine for 3D Quantitative Feature Extraction from Volumetric Medical Images
- (2017) Sebastian Echegaray et al. JOURNAL OF DIGITAL IMAGING
- Responsible Radiomics Research for Faster Clinical Translation
- (2017) Martin Vallières et al. JOURNAL OF NUCLEAR MEDICINE
- Imaging Phenotyping Using Radiomics to Predict Micropapillary Pattern within Lung Adenocarcinoma
- (2017) So Hee Song et al. Journal of Thoracic Oncology
- On the impact of smoothing and noise on robustness of CT and CBCT radiomics features for patients with head and neck cancers
- (2017) Hassan Bagher-Ebadian et al. MEDICAL PHYSICS
- Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks
- (2017) Bulat Ibragimov et al. MEDICAL PHYSICS
- Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels
- (2017) Muhammad Shafiq-ul-Hassan et al. MEDICAL PHYSICS
- A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets
- (2017) Natalia Antropova et al. MEDICAL PHYSICS
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- Radiomics: the bridge between medical imaging and personalized medicine
- (2017) Philippe Lambin et al. Nature Reviews Clinical Oncology
- Beyond imaging: The promise of radiomics
- (2017) Michele Avanzo et al. Physica Medica-European Journal of Medical Physics
- Delta-radiomics features for the prediction of patient outcomes in non–small cell lung cancer
- (2017) Xenia Fave et al. Scientific Reports
- Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer
- (2017) Martin Vallières et al. Scientific Reports
- A Fully-Automatic Multiparametric Radiomics Model: Towards Reproducible and Prognostic Imaging Signature for Prediction of Overall Survival in Glioblastoma Multiforme
- (2017) Qihua Li et al. Scientific Reports
- Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response
- (2016) P. Kickingereder et al. CLINICAL CANCER RESEARCH
- Rectal Cancer: Assessment of Neoadjuvant Chemoradiation Outcome based on Radiomics of Multiparametric MRI
- (2016) K. Nie et al. CLINICAL CANCER RESEARCH
- Radiomic Features Are Associated With EGFR Mutation Status in Lung Adenocarcinomas
- (2016) Ying Liu et al. Clinical Lung Cancer
- Characterization of PET/CT images using texture analysis: the past, the present… any future?
- (2016) Mathieu Hatt et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Interchangeability of a Radiomic Signature Between Conventional and Weekly Cone Beam Computed Tomography Allowing Response Prediction in Non-Small Cell Lung Cancer
- (2016) J.E. van Timmeren et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Detection of Local Cancer Recurrence After Stereotactic Ablative Radiation Therapy for Lung Cancer: Physician Performance Versus Radiomic Assessment
- (2016) Sarah A. Mattonen et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Use of texture analysis based on contrast-enhanced MRI to predict treatment response to chemoradiotherapy in nasopharyngeal carcinoma
- (2016) Jia Liu et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
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- (2016) Khémara Gnep et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Pretreatment 18F-FDG PET Textural Features in Locally Advanced Non-Small Cell Lung Cancer: Secondary Analysis of ACRIN 6668/RTOG 0235
- (2016) N. Ohri et al. JOURNAL OF NUCLEAR MEDICINE
- Reliability of PET/CT Shape and Heterogeneity Features in Functional and Morphologic Components of Non–Small Cell Lung Cancer Tumors: A Repeatability Analysis in a Prospective Multicenter Cohort
- (2016) Marie-Charlotte Desseroit et al. JOURNAL OF NUCLEAR MEDICINE
- The Impact of Optimal Respiratory Gating and Image Noise on Evaluation of Intratumor Heterogeneity on 18F-FDG PET Imaging of Lung Cancer
- (2016) W. Grootjans et al. JOURNAL OF NUCLEAR MEDICINE
- Repeatability of Radiomic Features in Non-Small-Cell Lung Cancer [18F]FDG-PET/CT Studies: Impact of Reconstruction and Delineation
- (2016) Floris H. P. van Velden et al. MOLECULAR IMAGING AND BIOLOGY
- Robustness of Radiomic Features in [11C]Choline and [18F]FDG PET/CT Imaging of Nasopharyngeal Carcinoma: Impact of Segmentation and Discretization
- (2016) Lijun Lu et al. MOLECULAR IMAGING AND BIOLOGY
- Radiomics: Images Are More than Pictures, They Are Data
- (2016) Robert J. Gillies et al. RADIOLOGY
- Radiomic phenotype features predict pathological response in non-small cell lung cancer
- (2016) Thibaud P. Coroller et al. RADIOTHERAPY AND ONCOLOGY
- CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer
- (2016) Elizabeth Huynh et al. RADIOTHERAPY AND ONCOLOGY
- Prostate cancer radiomics and the promise of radiogenomics
- (2016) Radka Stoyanova et al. Translational Cancer Research
- The FAIR Guiding Principles for scientific data management and stewardship
- (2016) Mark D. Wilkinson et al. Scientific Data
- The Potential of Radiomic-Based Phenotyping in Precision Medicine
- (2016) Hugo J. W. L. Aerts JAMA Oncology
- Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology
- (2016) Weimiao Wu et al. Frontiers in Oncology
- Revisiting the Robustness of PET-Based Textural Features in the Context of Multi-Centric Trials
- (2016) Clément Bailly et al. PLoS One
- Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement
- (2015) Gary S Collins et al. BMC Medicine
- Preliminary investigation into sources of uncertainty in quantitative imaging features
- (2015) Xenia Fave et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Lung Texture in Serial Thoracic Computed Tomography Scans: Correlation of Radiomics-based Features With Radiation Therapy Dose and Radiation Pneumonitis Development
- (2015) Alexandra Cunliffe et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Measuring Computed Tomography Scanner Variability of Radiomics Features
- (2015) Dennis Mackin et al. INVESTIGATIVE RADIOLOGY
- Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?
- (2015) Xenia Fave et al. MEDICAL PHYSICS
- Evaluation of tumor-derived MRI-texture features for discrimination of molecular subtypes and prediction of 12-month survival status in glioblastoma
- (2015) Dalu Yang et al. MEDICAL PHYSICS
- ibex: An open infrastructure software platform to facilitate collaborative work in radiomics
- (2015) Lifei Zhang et al. MEDICAL PHYSICS
- Decoding Tumor Phenotypes for ALK, ROS1, and RET Fusions in Lung Adenocarcinoma Using a Radiomics Approach
- (2015) Hyun Jung Yoon et al. MEDICINE
- Deep learning
- (2015) Yann LeCun et al. NATURE
- A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities
- (2015) M Vallières et al. PHYSICS IN MEDICINE AND BIOLOGY
- Is there a causal relationship between genetic changes and radiomics-based image features? An in vivo preclinical experiment with doxycycline inducible GADD34 tumor cells
- (2015) Kranthi Marella Panth et al. RADIOTHERAPY AND ONCOLOGY
- CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma
- (2015) Thibaud P. Coroller et al. RADIOTHERAPY AND ONCOLOGY
- Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma
- (2015) Yitan Zhu et al. Scientific Reports
- Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer
- (2015) Chintan Parmar et al. Scientific Reports
- Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models
- (2015) Farzad Khalvati et al. BMC MEDICAL IMAGING
- False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
- (2015) Anastasia Chalkidou et al. PLoS One
- Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks
- (2015) Petros-Pavlos Ypsilantis et al. PLoS One
- The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis
- (2015) Ralph T.H. Leijenaar et al. Scientific Reports
- Machine Learning methods for Quantitative Radiomic Biomarkers
- (2015) Chintan Parmar et al. Scientific Reports
- Visual Versus Quantitative Assessment of Intratumor 18F-FDG PET Uptake Heterogeneity: Prognostic Value in Non-Small Cell Lung Cancer
- (2014) F. Tixier et al. JOURNAL OF NUCLEAR MEDICINE
- Identifying quantitative in vivo multi-parametric MRI features for treatment related changes after laser interstitial thermal therapy of prostate cancer
- (2014) Satish Viswanath et al. NEUROCOMPUTING
- Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation
- (2014) Chintan Parmar et al. PLoS One
- Automated Tracking of Quantitative Assessments of Tumor Burden in Clinical Trials
- (2014) Daniel L. Rubin et al. Translational Oncology
- Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
- (2014) Hugo J. W. L. Aerts et al. Nature Communications
- Stability of FDG-PET Radiomics features: An integrated analysis of test-retest and inter-observer variability
- (2013) Ralph T. H. Leijenaar et al. ACTA ONCOLOGICA
- Breast Image Analysis for Risk Assessment, Detection, Diagnosis, and Treatment of Cancer
- (2013) Maryellen L. Giger et al. Annual Review of Biomedical Engineering
- External validation of a Cox prognostic model: principles and methods
- (2013) Patrick Royston et al. BMC Medical Research Methodology
- Radiomics: Extracting more information from medical images using advanced feature analysis
- (2012) Philippe Lambin et al. EUROPEAN JOURNAL OF CANCER
- 3D Slicer as an image computing platform for the Quantitative Imaging Network
- (2012) Andriy Fedorov et al. MAGNETIC RESONANCE IMAGING
- Radiomics: the process and the challenges
- (2012) Virendra Kumar et al. MAGNETIC RESONANCE IMAGING
- Support vector methods for survival analysis: a comparison between ranking and regression approaches
- (2011) Vanya Van Belle et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Texture analysis of non-small cell lung cancer on unenhanced computed tomography: initial evidence for a relationship with tumour glucose metabolism and stage
- (2011) Balaji Ganeshan et al. CANCER IMAGING
- Variability of textural features in FDG PET images due to different acquisition modes and reconstruction parameters
- (2010) Paulina E. Galavis et al. ACTA ONCOLOGICA
- Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances
- (2009) Jinshan Tang et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- Standards for PET Image Acquisition and Quantitative Data Analysis
- (2009) R. Boellaard JOURNAL OF NUCLEAR MEDICINE
- Noise injection for training artificial neural networks: A comparison with weight decay and early stopping
- (2009) Richard M. Zur et al. MEDICAL PHYSICS
- Evaluating Variability in Tumor Measurements from Same-day Repeat CT Scans of Patients with Non–Small Cell Lung Cancer
- (2009) Binsheng Zhao et al. RADIOLOGY
- Random survival forests
- (2008) Hemant Ishwaran et al. Annals of Applied Statistics
- MaZda—A software package for image texture analysis
- (2008) Piotr M. Szczypiński et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Exploring feature-based approaches in PET images for predicting cancer treatment outcomes
- (2008) I. El Naqa et al. PATTERN RECOGNITION
- Identification of noninvasive imaging surrogates for brain tumor gene-expression modules
- (2008) Maximilian Diehn et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
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