What can artificial intelligence teach us about the molecular mechanisms underlying disease?
出版年份 2019 全文链接
标题
What can artificial intelligence teach us about the molecular mechanisms underlying disease?
作者
关键词
Radiomics, Machine learning, deep learning, Artificial intelligence, Molecular imaging
出版物
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-06-12
DOI
10.1007/s00259-019-04370-z
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Data Analysis Strategies in Medical Imaging
- (2018) Chintan Parmar et al. CLINICAL CANCER RESEARCH
- Challenges and Promises of PET Radiomics
- (2018) Gary J.R. Cook et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Metabolic Imaging Phenotype Using Radiomics of [18F]FDG PET/CT Associated with Genetic Alterations of Colorectal Cancer
- (2018) Shang-Wen Chen et al. MOLECULAR IMAGING AND BIOLOGY
- 18F-fluorodeoxyglucose positron-emission tomography (FDG-PET)-Radiomics of metastatic lymph nodes and primary tumor in non-small cell lung cancer (NSCLC) – A prospective externally validated study
- (2018) Sara Carvalho et al. PLoS One
- Intratumoral heterogeneity characterized by pretreatment PET in non-small cell lung cancer patients predicts progression-free survival on EGFR tyrosine kinase inhibitor
- (2018) Sehhoon Park et al. PLoS One
- Tracking tumor biology with radiomics: A systematic review utilizing a radiomics quality score
- (2018) Sebastian Sanduleanu et al. RADIOTHERAPY AND ONCOLOGY
- Non-invasive tumor genotyping using radiogenomic biomarkers, a systematic review and oncology-wide pathway analysis
- (2018) Robin W. Jansen et al. Oncotarget
- Associations of Tumor PD-1 Ligands, Immunohistochemical Studies, and Textural Features in 18F-FDG PET in Squamous Cell Carcinoma of the Head and Neck
- (2018) Rui-Yun Chen et al. Scientific Reports
- Correlations between metabolic texture features, genetic heterogeneity, and mutation burden in patients with lung cancer
- (2018) Seung Hwan Moon et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Discovery of pre-therapy 2-deoxy-2-18F-fluoro-D-glucose positron emission tomography-based radiomics classifiers of survival outcome in non-small-cell lung cancer patients
- (2018) Mubarik A. Arshad et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Novel Quantitative PET Techniques for Clinical Decision Support in Oncology
- (2018) Habib Zaidi et al. SEMINARS IN NUCLEAR MEDICINE
- SELECT: A Phase II Trial of Adjuvant Erlotinib in Patients With Resected Epidermal Growth Factor Receptor–Mutant Non–Small-Cell Lung Cancer
- (2018) Nathan A. Pennell et al. JOURNAL OF CLINICAL ONCOLOGY
- Investigating the histopathologic correlates of 18F-FDG PET heterogeneity in non-small-cell lung cancer
- (2018) Usman Bashir et al. NUCLEAR MEDICINE COMMUNICATIONS
- Whole body PD-1 and PD-L1 positron emission tomography in patients with non-small-cell lung cancer
- (2018) A. N. Niemeijer et al. Nature Communications
- Texture analysis of high-resolution dedicated breast 18 F-FDG PET images correlates with immunohistochemical factors and subtype of breast cancer
- (2017) Alexis Moscoso et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Value of 18F–FDG PET/CT for predicting EGFR mutations and positive ALK expression in patients with non-small cell lung cancer: a retrospective analysis of 849 Chinese patients
- (2017) Zhilei Lv et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Characterisation of malignant peripheral nerve sheath tumours in neurofibromatosis-1 using heterogeneity analysis of 18F-FDG PET
- (2017) Gary J. R. Cook et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Radiomics and its emerging role in lung cancer research, imaging biomarkers and clinical management: State of the art
- (2017) Geewon Lee et al. EUROPEAN JOURNAL OF RADIOLOGY
- Can Laws Be a Potential PET Image Texture Analysis Approach for Evaluation of Tumor Heterogeneity and Histopathological Characteristics in NSCLC?
- (2017) Seyhan Karacavus et al. JOURNAL OF DIGITAL IMAGING
- Prediction of EGFR and KRAS mutation in non-small cell lung cancer using quantitative 18F FDG-PET/CT metrics
- (2017) Ryogo Minamimoto et al. Oncotarget
- PET Radiomics in NSCLC: state of the art and a proposal for harmonization of methodology
- (2017) M. Sollini et al. Scientific Reports
- Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images
- (2017) Hongkai Wang et al. EJNMMI Research
- Associations between Tumor Vascularity, Vascular Endothelial Growth Factor Expression and PET/MRI Radiomic Signatures in Primary Clear-Cell–Renal-Cell-Carcinoma: Proof-of-Concept Study
- (2017) Qingbo Yin et al. Scientific Reports
- Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer
- (2017) Martin Vallières et al. Scientific Reports
- Imaging Heterogeneity in Lung Cancer: Techniques, Applications, and Challenges
- (2016) Usman Bashir et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- 18F-FDG PET/CT imaging in rectal cancer: relationship with theRASmutational status
- (2016) Pierre Lovinfosse et al. BRITISH JOURNAL OF RADIOLOGY
- Multiscale Texture Analysis: From 18F-FDG PET Images to Histologic Images
- (2016) F. Orlhac et al. JOURNAL OF NUCLEAR MEDICINE
- 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
- Associations Between Somatic Mutations and Metabolic Imaging Phenotypes in Non–Small Cell Lung Cancer
- (2016) Stephen S.F. Yip et al. JOURNAL OF NUCLEAR MEDICINE
- Predictive Markers for the Efficacy of Anti–PD-1/PD-L1 Antibodies in Lung Cancer
- (2016) Takehito Shukuya et al. Journal of Thoracic Oncology
- Radiomics: Images Are More than Pictures, They Are Data
- (2016) Robert J. Gillies et al. RADIOLOGY
- Comparative study of the PD-L1 status between surgically resected specimens and matched biopsies of NSCLC patients reveal major discordances: a potential issue for anti-PD-L1 therapeutic strategies
- (2015) M. Ilie et al. ANNALS OF ONCOLOGY
- Texture analysis of 125I-A5B7 anti-CEA antibody SPECT differentiates metastatic colorectal cancer model phenotypes and anti-vascular therapy response
- (2015) V Rajkumar et al. BRITISH JOURNAL OF CANCER
- Pan-cancer analysis of the extent and consequences of intratumor heterogeneity
- (2015) Noemi Andor et al. NATURE MEDICINE
- Non–Small Cell Lung Cancer Treated with Erlotinib: Heterogeneity of18F-FDG Uptake at PET—Association with Treatment Response and Prognosis
- (2015) Gary J. R. Cook et al. RADIOLOGY
- 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
- Texture analysis on 18F-FDG PET/CT images to differentiate malignant and benign bone and soft-tissue lesions
- (2014) Rui Xu et al. ANNALS OF NUCLEAR MEDICINE
- Imaging Intratumor Heterogeneity: Role in Therapy Response, Resistance, and Clinical Outcome
- (2014) J. P. B. O'Connor et al. CLINICAL CANCER RESEARCH
- Multifunctional Imaging Signature for V-KI-RAS2 Kirsten Rat Sarcoma Viral Oncogene Homolog (KRAS) Mutations in Colorectal Cancer
- (2014) K. A. Miles et al. JOURNAL OF NUCLEAR MEDICINE
- Relationship between Tumor Heterogeneity Measured on FDG-PET/CT and Pathological Prognostic Factors in Invasive Breast Cancer
- (2014) Michael Soussan et al. PLoS One
- Quantification of Heterogeneity as a Biomarker in Tumor Imaging: A Systematic Review
- (2014) Lejla Alic et al. PLoS One
- NF-κB protein expression associates with 18F-FDG PET tumor uptake in non-small cell lung cancer: A radiogenomics validation study to understand tumor metabolism
- (2013) Viswam S. Nair et al. LUNG CANCER
- The causes and consequences of genetic heterogeneity in cancer evolution
- (2013) Rebecca A. Burrell et al. NATURE
- Quantitative Imaging in Cancer Evolution and Ecology
- (2013) Robert A. Gatenby et al. RADIOLOGY
- Prognostic PET 18F-FDG Uptake Imaging Features Are Associated with Major Oncogenomic Alterations in Patients with Resected Non-Small Cell Lung Cancer
- (2012) V. S. Nair et al. CANCER RESEARCH
- Radiomics: Extracting more information from medical images using advanced feature analysis
- (2012) Philippe Lambin et al. EUROPEAN JOURNAL OF CANCER
- Genetic heterogeneity and cancer drug resistance
- (2012) Nicholas C Turner et al. LANCET ONCOLOGY
- Quantification of intra-tumour cell proliferation heterogeneity using imaging descriptors of 18F fluorothymidine-positron emission tomography
- (2012) J M Y Willaime et al. PHYSICS IN MEDICINE AND BIOLOGY
- Hallmarks of Cancer: The Next Generation
- (2011) Douglas Hanahan et al. CELL
- Gene Expression Patterns and Tumor Uptake of 18F-FDG, 18F-FLT, and 18F-FEC in PET/MRI of an Orthotopic Mouse Xenotransplantation Model of Pancreatic Cancer
- (2008) C. von Forstner et al. JOURNAL OF NUCLEAR MEDICINE
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