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。Circulating tumor DNA in neoadjuvant-treated breast cancer reflects response and survival
M. J. M. Magbanua et al.
ANNALS OF ONCOLOGY (2021)
Radiomic analysis on magnetic resonance diffusion weighted image in distinguishing triple-negative breast cancer from other subtypes: a feasibility study
Qinglin Wang et al.
CLINICAL IMAGING (2021)
Preclinical PERCIST and 25% of SUVmax Threshold: Precision Imaging of Response to Therapy in Co-clinical 18F-FDG PET Imaging of Triple-Negative Breast Cancer Patient-Derived Tumor Xenografts
Madhusudan A. Savaikar et al.
JOURNAL OF NUCLEAR MEDICINE (2020)
18F-FDG PET/CT radiomic predictors of pathologic complete response (pCR) to neoadjuvant chemotherapy in breast cancer patients
Panli Li et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2020)
Intratumor Heterogeneity: The Rosetta Stone of Therapy Resistance
Andriy Marusyk et al.
CANCER CELL (2020)
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
Alex Zwanenburg et al.
RADIOLOGY (2020)
Optimal co-clinical radiomics: Sensitivity of radiomic features to tumour volume, image noise and resolution in co-clinical T1-weighted and T2-weighted magnetic resonance imaging
Sudipta Roy et al.
EBIOMEDICINE (2020)
Radiomics methodology for breast cancer diagnosis using multiparametric magnetic resonance imaging
Qiyuan Hu et al.
JOURNAL OF MEDICAL IMAGING (2020)
Co-Clinical Imaging Resource Program (CIRP): Bridging the Translational Divide to Advance Precision Medicine
Kooresh Shoghi et al.
TOMOGRAPHY (2020)
PET/CT radiomics in breast cancer: promising tool for prediction of pathological response to neoadjuvant chemotherapy
Lidija Antunovic et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2019)
Application of improved distributed naive Bayesian algorithms in text classification
Hongyi Gao et al.
JOURNAL OF SUPERCOMPUTING (2019)
We need to talk about reliability: making better use of test-retest studies for study design and interpretation
Granville J. Matheson
PEERJ (2019)
Molecular Subtypes Recognition of Breast Cancer in Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging Phenotypes from Radiomics Data
Wei Li et al.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2019)
Bringing radiomics into a multi-omics framework for a comprehensive genotype-phenotype characterization of oncological diseases
Mario Zanfardino et al.
JOURNAL OF TRANSLATIONAL MEDICINE (2019)
Radiomics in Oncological PET/CT: a Methodological Overview
Seunggyun Ha et al.
NUCLEAR MEDICINE AND MOLECULAR IMAGING (2019)
Response rates and pathologic complete response by breast cancer molecular subtype following neoadjuvant chemotherapy
Waqar Haque et al.
BREAST CANCER RESEARCH AND TREATMENT (2018)
Relief-based feature selection: Introduction and review
Ryan J. Urbanowicz et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2018)
Evaluation of classification and regression tree (CART) model in weight loss prediction following head and neck cancer radiation therapy
Zhi Cheng et al.
ADVANCES IN RADIATION ONCOLOGY (2018)
Exploration of PET and MRI radiomic features for decoding breast cancer phenotypes and prognosis
Shih-ying Huang et al.
NPJ BREAST CANCER (2018)
Co-clinical quantitative tumor volume imaging in ALK-rearranged NSCLC treated with crizotinib
Mizuki Nishino et al.
EUROPEAN JOURNAL OF RADIOLOGY (2017)
Bridging the divide: preclinical research discrepancies between triple-negative breast cancer cell lines and patient tumors
Andrew Sulaiman et al.
ONCOTARGET (2017)
SVM and SVM Ensembles in Breast Cancer Prediction
Min-Wei Huang et al.
PLOS ONE (2017)
Co-clinical trials demonstrate predictive biomarkers for dovitinib, an FGFR inhibitor, in lung squamous cell carcinoma
H. R. Kim et al.
ANNALS OF ONCOLOGY (2017)
Personalized Preclinical Trials in BRAF Inhibitor-Resistant Patient-Derived Xenograft Models Identify Second-Line Combination Therapies
Clemens Krepler et al.
CLINICAL CANCER RESEARCH (2016)
Patient-derived xenografts faithfully replicated clinical outcome in a phase II co-clinical trial of arsenic trioxide in relapsed small cell lung cancer
Taofeek K. Owonikoko et al.
JOURNAL OF TRANSLATIONAL MEDICINE (2016)
Radiomics: Images Are More than Pictures, They Are Data
Robert J. Gillies et al.
RADIOLOGY (2016)
The future of patient-derived tumor xenografts in cancer treatment
Daniela Sia et al.
PHARMACOGENOMICS (2015)
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Hugo J. W. L. Aerts et al.
NATURE COMMUNICATIONS (2014)
A co-clinical approach identifies mechanisms and potential therapies for androgen deprivation resistance in prostate cancer
Andrea Lunardi et al.
NATURE GENETICS (2013)
Endocrine-Therapy-Resistant ESR1 Variants Revealed by Genomic Characterization of Breast-Cancer-Derived Xenografts
Shunqiang Li et al.
CELL REPORTS (2013)
Global gene expression profiling confirms the molecular fidelity of primary tumor-based orthotopic xenograft mouse models of medulloblastoma
Xiumei Zhao et al.
NEURO-ONCOLOGY (2012)
Molecular profiling of patient-derived breast cancer xenografts
Fabien Reyal et al.
BREAST CANCER RESEARCH (2012)
Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies
Brian D. Lehmann et al.
JOURNAL OF CLINICAL INVESTIGATION (2011)
Tumor grafts derived from women with breast cancer authentically reflect tumor pathology, growth, metastasis and disease outcomes
Yoko S. DeRose et al.
NATURE MEDICINE (2011)
From RECIST to PERCIST: Evolving Considerations for PET Response Criteria in Solid Tumors
Richard L. Wahl et al.
JOURNAL OF NUCLEAR MEDICINE (2009)
Establishment of human tumor xenografts in immunodeficient mice
Christopher L. Morton et al.
NATURE PROTOCOLS (2007)
Theoretical and empirical analysis of ReliefF and RReliefF
M Robnik-Sikonja et al.
MACHINE LEARNING (2003)
Relationships between drug activity in NCI preclinical in vitro and in vivo models and early clinical trials
JI Johnson et al.
BRITISH JOURNAL OF CANCER (2001)