Related references
Note: Only part of the references are listed.Cancer statistics, 2019
Rebecca L. Siegel et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2019)
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning
Shuo Wang et al.
EUROPEAN RESPIRATORY JOURNAL (2019)
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer
Shuo Wang et al.
RADIOTHERAPY AND ONCOLOGY (2019)
Prediction of disease-free survival by the PET/CT radiomic signature in non-small cell lung cancer patients undergoing surgery
Margarita Kirienko et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2018)
MR-based radiomics signature in differentiating ocular adnexal lymphoma from idiopathic orbital inflammation
Jian Guo et al.
EUROPEAN RADIOLOGY (2018)
Radiomics of high-grade serous ovarian cancer: association between quantitative CT features, residual tumour and disease progression within 12 months
Stefania Rizzo et al.
EUROPEAN RADIOLOGY (2018)
Radiomics analysis allows for precise prediction of epilepsy in patients with low-grade gliomas
Zhenyu Liu et al.
NEUROIMAGE-CLINICAL (2018)
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
Ryan Poplin et al.
NATURE BIOMEDICAL ENGINEERING (2018)
Maintenance Olaparib in Patients with Newly Diagnosed Advanced Ovarian Cancer
K. Moore et al.
NEW ENGLAND JOURNAL OF MEDICINE (2018)
Identifying the white matter impairments among ART-na⟨ve HIV patients: a multivariate pattern analysis of DTI data
Zhenchao Tang et al.
EUROPEAN RADIOLOGY (2017)
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation
Shuo Wang et al.
MEDICAL IMAGE ANALYSIS (2017)
Radiomics: the bridge between medical imaging and personalized medicine
Philippe Lambin et al.
NATURE REVIEWS CLINICAL ONCOLOGY (2017)
High-Grade Serous Ovarian Cancer: Associations between BRCA Mutation Status, CT Imaging Phenotypes, and Clinical Outcomes
Stephanie Nougaret et al.
RADIOLOGY (2017)
Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer
Zhenyu Liu et al.
CLINICAL CANCER RESEARCH (2017)
Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma
Bin Zhang et al.
CLINICAL CANCER RESEARCH (2017)
Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer
Yan-qi Huang et al.
JOURNAL OF CLINICAL ONCOLOGY (2016)
Development and validation of a microRNA-based signature (MiROvaR) to predict early relapse or progression of epithelial ovarian cancer: a cohort study
Marina Bagnoli et al.
LANCET ONCOLOGY (2016)
Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non-Small Cell Lung Cancer
Yanqi Huang et al.
RADIOLOGY (2016)
Radiomics: Images Are More than Pictures, They Are Data
Robert J. Gillies et al.
RADIOLOGY (2016)
The Potential of Radiomic-Based Phenotyping in PrecisionMedicine A Review
Hugo J. W. L. Aerts
JAMA ONCOLOGY (2016)
Incorporation of postoperative CT data into clinical models to predict 5-year overall and recurrence free survival after primary cytoreductive surgery for advanced ovarian cancer
Irene A. Burger et al.
GYNECOLOGIC ONCOLOGY (2015)
Standard chemotherapy with or without bevacizumab for women with newly diagnosed ovarian cancer (ICON7): overall survival results of a phase 3 randomised trial
Amit M. Oza et al.
LANCET ONCOLOGY (2015)
Olaparib combined with chemotherapy for recurrent platinum-sensitive ovarian cancer: a randomised phase 2 trial
Amit M. Oza et al.
LANCET ONCOLOGY (2015)
Fast Implementation of DeLong's Algorithm for Comparing the Areas Under Correlated Receiver Operating Characteristic Curves
Xu Sun et al.
IEEE SIGNAL PROCESSING LETTERS (2014)
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Hugo J. W. L. Aerts et al.
NATURE COMMUNICATIONS (2014)
Treatment options in recurrent ovarian cancer: latest evidence and clinical potential
Daniela Luvero et al.
THERAPEUTIC ADVANCES IN MEDICAL ONCOLOGY (2014)
Prognostic factors for stage III epithelial ovarian cancer treated with intraperitoneal chemotherapy: A Gynecologic Oncology Group study
Lisa M. Landrum et al.
GYNECOLOGIC ONCOLOGY (2013)
Radiomics: Extracting more information from medical images using advanced feature analysis
Philippe Lambin et al.
EUROPEAN JOURNAL OF CANCER (2012)
Nomogram for predicting 5-year disease-specific mortality after primary surgery for epithelial ovarian cancer
Joyce N. Barlin et al.
GYNECOLOGIC ONCOLOGY (2012)
Integrated genomic analyses of ovarian carcinoma
D. Bell et al.
NATURE (2011)
Simple tests for the external validation of mortality prediction scores
Nigel Stallard
STATISTICS IN MEDICINE (2009)
How to build and interpret a nomogram for cancer prognosis
Alexia Iasonos et al.
JOURNAL OF CLINICAL ONCOLOGY (2008)