Artificial intelligence in cancer imaging: Clinical challenges and applications
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Title
Artificial intelligence in cancer imaging: Clinical challenges and applications
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Journal
CA-A CANCER JOURNAL FOR CLINICIANS
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2019-02-06
DOI
10.3322/caac.21552
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Note: Only part of the references are listed.- Cancer statistics, 2018
- (2018) Rebecca L. Siegel et al. CA-A CANCER JOURNAL FOR CLINICIANS
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- (2018) Ken Chang et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
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- (2018) Brady J. McKee et al. Journal of the National Comprehensive Cancer Network
- Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation
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- (2018) Daesung Kang et al. NEURO-ONCOLOGY
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- (2018) Danton S. Char et al. NEW ENGLAND JOURNAL OF MEDICINE
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- (2018) Leena Gandhi et al. NEW ENGLAND JOURNAL OF MEDICINE
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- (2018) Veeru Kasivisvanathan et al. NEW ENGLAND JOURNAL OF MEDICINE
- Automatic lesion detection and segmentation of 18F-FET PET in gliomas: A full 3D U-Net convolutional neural network study
- (2018) Paul Blanc-Durand et al. PLoS One
- Radiologic Features of Small Pulmonary Nodules and Lung Cancer Risk in the National Lung Screening Trial: A Nested Case-Control Study
- (2018) Ying Liu et al. RADIOLOGY
- An anatomic transcriptional atlas of human glioblastoma
- (2018) Ralph B. Puchalski et al. SCIENCE
- Detection and localization of surgically resectable cancers with a multi-analyte blood test
- (2018) Joshua D. Cohen et al. SCIENCE
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- (2018) Karen Drukker et al. CANCER IMAGING
- Comparison between Glioblastoma and Primary Central Nervous System Lymphoma Using MR Image-based Texture Analysis
- (2018) Akira Kunimatsu et al. Magnetic Resonance in Medical Sciences
- Detecting and classifying lesions in mammograms with Deep Learning
- (2018) Dezső Ribli et al. Scientific Reports
- Incidental pulmonary nodules in emergent coronary CT angiography for suspected acute coronary syndrome: Impact of revised 2017 Fleischner Society Guidelines
- (2018) Jan-Erik Scholtz et al. Journal of Cardiovascular Computed Tomography
- Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks
- (2018) Moi Hoon Yap et al. IEEE Journal of Biomedical and Health Informatics
- Visual interpretability for deep learning: a survey
- (2018) Quan-shi Zhang et al. Frontiers of Information Technology & Electronic Engineering
- 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
- Image reconstruction by domain-transform manifold learning
- (2018) Bo Zhu et al. NATURE
- Unsupervised Medical Image Segmentation Based on the Local Center of Mass
- (2018) Iman Aganj et al. Scientific Reports
- Multiparametric magnetic resonance imaging of the prostate with computer-aided detection: experienced observer performance study
- (2017) Valentina Giannini et al. EUROPEAN RADIOLOGY
- Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth
- (2017) Vanya V. Valindria et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence
- (2017) Zeynettin Akkus et al. JOURNAL OF DIGITAL IMAGING
- Automatic estimation of extent of resection and residual tumor volume of patients with glioblastoma
- (2017) Raphael Meier et al. JOURNAL OF NEUROSURGERY
- Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study
- (2017) Hashim U Ahmed et al. LANCET
- Large scale deep learning for computer aided detection of mammographic lesions
- (2017) Thijs Kooi et al. MEDICAL IMAGE ANALYSIS
- Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
- (2017) Konstantinos Kamnitsas et al. MEDICAL IMAGE ANALYSIS
- 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
- Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution
- (2017) Christopher Abbosh et al. NATURE
- Quantitative imaging biomarkers for risk stratification of patients with recurrent glioblastoma treated with bevacizumab
- (2017) Patrick Grossmann et al. NEURO-ONCOLOGY
- MRI features predict survival and molecular markers in diffuse lower-grade gliomas
- (2017) Hao Zhou et al. NEURO-ONCOLOGY
- Tracking the Evolution of Non–Small-Cell Lung Cancer
- (2017) Mariam Jamal-Hanjani et al. NEW ENGLAND JOURNAL OF MEDICINE
- Response Evaluation Criteria in Solid Tumors (RECIST) following neoadjuvant chemotherapy in osteosarcoma
- (2017) Lillian M. Guenther et al. PEDIATRIC BLOOD & CANCER
- A deep convolutional neural network-based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery
- (2017) Yan Liu et al. PLoS One
- CT imaging features associated with recurrence in non-small cell lung cancer patients after stereotactic body radiotherapy
- (2017) Qian Li et al. Radiation Oncology
- Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017
- (2017) Heber MacMahon et al. RADIOLOGY
- Direct detection of early-stage cancers using circulating tumor DNA
- (2017) Jillian Phallen et al. Science Translational Medicine
- Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations
- (2017) Shekoofeh Azizi et al. International Journal of Computer Assisted Radiology and Surgery
- Radial gradient and radial deviation radiomic features from pre-surgical CT scans are associated with survival among lung adenocarcinoma patients
- (2017) Ilke Tunali et al. Oncotarget
- Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization
- (2017) Nicolas Sauwen et al. BMC MEDICAL IMAGING
- Defining the biological basis of radiomic phenotypes in lung cancer
- (2017) Patrick Grossmann et al. eLife
- Radiographic prediction of meningioma grade by semantic and radiomic features
- (2017) Thibaud P. Coroller et al. PLoS One
- Towards automatic pulmonary nodule management in lung cancer screening with deep learning
- (2017) Francesco Ciompi et al. Scientific Reports
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- (2017) Matthew B. Schabath et al. Cancer Control
- Computer-aided Detection of Prostate Cancer with MRI
- (2016) Lizhi Liu et al. ACADEMIC RADIOLOGY
- Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study
- (2016) P. Tiwari et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- Evaluation of Machine Learning Algorithm Utilization for Lung Cancer Classification Based on Gene Expression Levels
- (2016) Maxim D Podolsky et al. Asian Pacific Journal of Cancer Prevention
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- Variable Intra-Tumor Genomic Heterogeneity of Multiple Lesions in Patients With Hepatocellular Carcinoma
- (2016) Ruidong Xue et al. GASTROENTEROLOGY
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- (2016) Andrew Cameron et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
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- (2016) Varun Gulshan et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
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- (2016) André O. von Bueren et al. JOURNAL OF CLINICAL ONCOLOGY
- Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study
- (2016) Shoshana B. Ginsburg et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Predicting Malignant Nodules from Screening CT Scans
- (2016) Samuel Hawkins et al. Journal of Thoracic Oncology
- Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography
- (2016) Ravi K. Samala et al. MEDICAL PHYSICS
- MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas
- (2016) Panagiotis Korfiatis et al. MEDICAL PHYSICS
- Divergent clonal selection dominates medulloblastoma at recurrence
- (2016) A. Sorana Morrissy et al. NATURE
- Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas
- (2016) Biqi Zhang et al. NEURO-ONCOLOGY
- Multimodal imaging patterns predict survival in recurrent glioblastoma patients treated with bevacizumab
- (2016) Ken Chang et al. NEURO-ONCOLOGY
- 10-Year Outcomes after Monitoring, Surgery, or Radiotherapy for Localized Prostate Cancer
- (2016) Freddie C. Hamdy et al. NEW ENGLAND JOURNAL OF MEDICINE
- Low-Dose CT Screening for Lung Cancer: Computer-aided Detection of Missed Lung Cancers
- (2016) Mingzhu Liang et al. RADIOLOGY
- Neoadjuvant Chemotherapy for Breast Cancer: Functional Tumor Volume by MR Imaging Predicts Recurrence-free Survival—Results from the ACRIN 6657/CALGB 150007 I-SPY 1 TRIAL
- (2016) Nola M. Hylton et al. RADIOLOGY
- Radiogenomics of Glioblastoma: Machine Learning–based Classification of Molecular Characteristics by Using Multiparametric and Multiregional MR Imaging Features
- (2016) Philipp Kickingereder et al. RADIOLOGY
- MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays
- (2016) Hui Li et al. RADIOLOGY
- Radiomics: Images Are More than Pictures, They Are Data
- (2016) Robert J. Gillies et al. RADIOLOGY
- Unsupervised consensus cluster analysis of [18F]-fluoroethyl-L-tyrosine positron emission tomography identified textural features for the diagnosis of pseudoprogression in high-grade glioma
- (2016) Sied Kebir et al. Oncotarget
- 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
- Reproducibility of radiomics for deciphering tumor phenotype with imaging
- (2016) Binsheng Zhao et al. Scientific Reports
- Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry
- (2016) Raphael Meier et al. Scientific Reports
- Defining a Radiomic Response Phenotype: A Pilot Study using targeted therapy in NSCLC
- (2016) Hugo J. W. L. Aerts et al. Scientific Reports
- Noninvasive Computed Tomography–based Risk Stratification of Lung Adenocarcinomas in the National Lung Screening Trial
- (2015) Fabien Maldonado et al. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
- Recent Trends in the Identification of Incidental Pulmonary Nodules
- (2015) Michael K. Gould et al. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
- Impact of the Volkswagen emissions control defeat device on US public health
- (2015) Steven R H Barrett et al. Environmental Research Letters
- Computer-Aided Prostate Cancer Detection Using Ultrasound RF Time Series: In Vivo Feasibility Study
- (2015) Farhad Imani et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI
- (2015) Andrés Larroza et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Long-term risk of radionecrosis and imaging changes after stereotactic radiosurgery for brain metastases
- (2015) Zachary A. Kohutek et al. JOURNAL OF NEURO-ONCOLOGY
- Automated prostate cancer detection usingT2-weighted and high-b-value diffusion-weighted magnetic resonance imaging
- (2015) Jin Tae Kwak et al. MEDICAL PHYSICS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques
- (2015) Luke Macyszyn et al. NEURO-ONCOLOGY
- A prognostic cytogenetic scoring system to guide the adjuvant management of patients with atypical meningioma
- (2015) Ayal A. Aizer et al. NEURO-ONCOLOGY
- Three-dimensional textural features of conventional MRI improve diagnostic classification of childhood brain tumours
- (2015) Ahmed E. Fetit et al. NMR IN BIOMEDICINE
- CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma
- (2015) Thibaud P. Coroller et al. RADIOTHERAPY AND ONCOLOGY
- Computer-aided detection (CAD) system for breast MRI in assessment of local tumor extent, nodal status, and multifocality of invasive breast cancers: preliminary study
- (2015) Sung Song et al. CANCER IMAGING
- Tracking the Genomic Evolution of Esophageal Adenocarcinoma through Neoadjuvant Chemotherapy
- (2015) N. Murugaesu et al. Cancer Discovery
- Genomic Characterization of Brain Metastases Reveals Branched Evolution and Potential Therapeutic Targets
- (2015) P. K. Brastianos et al. Cancer Discovery
- Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features
- (2015) Emmanuel Rios Velazquez et al. Scientific Reports
- Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma
- (2015) Yitan Zhu et al. Scientific Reports
- Machine Learning methods for Quantitative Radiomic Biomarkers
- (2015) Chintan Parmar et al. Scientific Reports
- Mammographic and clinicopathological features of triple-negative breast cancer
- (2014) B Gao et al. BRITISH JOURNAL OF RADIOLOGY
- Indeterminate Pulmonary Nodules: Risk for Having or for Developing Lung Cancer?
- (2014) P. P. Massion et al. Cancer Prevention Research
- Overdiagnosis and Overtreatment of Prostate Cancer
- (2014) Stacy Loeb et al. EUROPEAN UROLOGY
- Computer-Aided Detection of Prostate Cancer in MRI
- (2014) Geert Litjens et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Test–Retest Reproducibility Analysis of Lung CT Image Features
- (2014) Yoganand Balagurunathan et al. JOURNAL OF DIGITAL IMAGING
- The IASLC Lung Cancer Staging Project: The New Database to Inform the Eighth Edition of the TNM Classification of Lung Cancer
- (2014) Ramón Rami-Porta et al. Journal of Thoracic Oncology
- A Randomized Trial of Bevacizumab for Newly Diagnosed Glioblastoma
- (2014) Mark R. Gilbert et al. NEW ENGLAND JOURNAL OF MEDICINE
- Bevacizumab plus Radiotherapy–Temozolomide for Newly Diagnosed Glioblastoma
- (2014) Olivier L. Chinot et al. NEW ENGLAND JOURNAL OF MEDICINE
- ALKMolecular Phenotype in Non–Small Cell Lung Cancer: CT Radiogenomic Characterization
- (2014) Shota Yamamoto et al. RADIOLOGY
- Spatial and temporal diversity in genomic instability processes defines lung cancer evolution
- (2014) E. C. de Bruin et al. SCIENCE
- Reproducibility and Prognosis of Quantitative Features Extracted from CT Images
- (2014) Yoganand Balagurunathan 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
- Computer Aided-Diagnosis of Prostate Cancer on Multiparametric MRI: A Technical Review of Current Research
- (2014) Shijun Wang et al. Biomed Research International
- Overdiagnosis in Low-Dose Computed Tomography Screening for Lung Cancer
- (2014) Edward F. Patz et al. JAMA Internal Medicine
- Breast Image Analysis for Risk Assessment, Detection, Diagnosis, and Treatment of Cancer
- (2013) Maryellen L. Giger et al. Annual Review of Biomedical Engineering
- Artificial intelligence framework for simulating clinical decision-making: A Markov decision process approach
- (2013) Casey C. Bennett et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- An update on the evaluation and management of small pulmonary nodules
- (2013) Alexandre M Furman et al. Future Oncology
- Computerized detection of breast cancer on automated breast ultrasound imaging of women with dense breasts
- (2013) Karen Drukker et al. MEDICAL PHYSICS
- Quantitative Imaging in Cancer Evolution and Ecology
- (2013) Robert A. Gatenby et al. RADIOLOGY
- Mutational Analysis Reveals the Origin and Therapy-Driven Evolution of Recurrent Glioma
- (2013) B. E. Johnson et al. SCIENCE
- Computerized Analysis of Mammographic Parenchymal Patterns on a Large Clinical Dataset of Full-Field Digital Mammograms: Robustness Study with Two High-Risk Datasets
- (2012) Hui Li et al. JOURNAL OF DIGITAL IMAGING
- Multiparametric MRI maps for detection and grading of dominant prostate tumors
- (2012) Mehdi Moradi et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Decision support system for localizing prostate cancer based on multiparametric magnetic resonance imaging
- (2012) Vijay Shah et al. MEDICAL PHYSICS
- Automatic computer-aided detection of prostate cancer based on multiparametric magnetic resonance image analysis
- (2012) P C Vos et al. PHYSICS IN MEDICINE AND BIOLOGY
- Computer-aided diagnosis of prostate cancer in the peripheral zone using multiparametric MRI
- (2012) Emilie Niaf et al. PHYSICS IN MEDICINE AND BIOLOGY
- Prostate Cancer: Computer-aided Diagnosis with Multiparametric 3-T MR Imaging—Effect on Observer Performance
- (2012) Thomas Hambrock et al. RADIOLOGY
- Heterogeneity in head and neck IMRT target design and clinical practice
- (2012) Theodore S. Hong et al. RADIOTHERAPY AND ONCOLOGY
- Lung Cancer: Epidemiology, Etiology, and Prevention
- (2011) Charles S. Dela Cruz et al. CLINICS IN CHEST MEDICINE
- MRI of the prostate: Interobserver agreement compared with histopathologic outcome after radical prostatectomy
- (2011) Oliver Ruprecht et al. EUROPEAN JOURNAL OF RADIOLOGY
- Computer-aided detection of clustered microcalcifications in digital breast tomosynthesis: A 3D approach
- (2011) Berkman Sahiner et al. MEDICAL PHYSICS
- Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
- (2011) NEW ENGLAND JOURNAL OF MEDICINE
- Size assessment of breast lesions by means of a computer-aided detection (CAD) system for magnetic resonance mammography
- (2011) G. Levrini et al. Radiologia Medica
- Computer-aided Diagnosis: How to Move from the Laboratory to the Clinic
- (2011) Bram van Ginneken et al. RADIOLOGY
- Background Parenchymal Enhancement at Breast MR Imaging and Breast Cancer Risk
- (2011) Valencia King et al. RADIOLOGY
- A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer
- (2010) M. Nielsen et al. Cancer Epidemiology
- Updated Response Assessment Criteria for High-Grade Gliomas: Response Assessment in Neuro-Oncology Working Group
- (2010) Patrick Y. Wen et al. JOURNAL OF CLINICAL ONCOLOGY
- A Critical Analysis of the Tumor Volume Threshold for Clinically Insignificant Prostate Cancer Using a Data Set of a Randomized Screening Trial
- (2010) Tineke Wolters et al. JOURNAL OF UROLOGY
- Validation of a method for measuring the volumetric breast density from digital mammograms
- (2010) O Alonzo-Proulx et al. PHYSICS IN MEDICINE AND BIOLOGY
- Cancerous Breast Lesions on Dynamic Contrast-enhanced MR Images: Computerized Characterization for Image-based Prognostic Markers
- (2010) Neha Bhooshan et al. RADIOLOGY
- How Widely Is Computer-Aided Detection Used in Screening and Diagnostic Mammography?
- (2010) Vijay M. Rao et al. Journal of the American College of Radiology
- Parenchymal Texture Analysis in Digital Breast Tomosynthesis for Breast Cancer Risk Estimation
- (2009) Despina Kontos et al. ACADEMIC RADIOLOGY
- Variability of Target and Normal Structure Delineation for Breast Cancer Radiotherapy: An RTOG Multi-Institutional and Multiobserver Study
- (2009) X. Allen Li et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Exploring nonlinear feature space dimension reduction and data representation in breast CADx with Laplacian eigenmaps and t-SNE
- (2009) Andrew R. Jamieson et al. MEDICAL PHYSICS
- Computer-Aided Diagnosis of Lung Cancer and Pulmonary Embolism in Computed Tomography—A Review
- (2008) Heang-Ping Chan et al. ACADEMIC RADIOLOGY
- Augmenting Detection of Prostate Cancer in Transrectal Ultrasound Images Using SVM and RF Time Series
- (2008) M. Moradi et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Validation of image segmentation by estimating rater bias and variance
- (2008) S. K Warfield et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Trends in prevalence of prognostic factors and survival in lung cancer patients from 1985 to 2004 at a tertiary care center
- (2008) Sumesh Kachroo et al. Cancer Detection and Prevention
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