Related references
Note: Only part of the references are listed.Forecasting tumor and vasculature response dynamics to radiation therapy via image based mathematical modeling
David A. Hormuth et al.
RADIATION ONCOLOGY (2020)
Optimizing neoadjuvant regimens for individual breast cancer patients generated by a mathematical model utilizing quantitative magnetic resonance imaging data: Preliminary results
Angela M. Jarrett et al.
CANCER RESEARCH (2020)
Translating preclinical MRI methods to clinical oncology
David A. Hormuth et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2019)
Calibrating a Predictive Model of Tumor Growth and Angiogenesis with Quantitative MRI
David A. Hormuth et al.
ANNALS OF BIOMEDICAL ENGINEERING (2019)
Experimentally-driven mathematical modeling to improve combination targeted and cytotoxic therapy for HER2+breast cancer
Angela M. Jarrett et al.
SCIENTIFIC REPORTS (2019)
Quantitative analysis of vascular properties derived from ultrafast DCE-MRI to discriminate malignant and benign breast tumors
Chengyue Wu et al.
MAGNETIC RESONANCE IN MEDICINE (2019)
The 2019 mathematical oncology roadmap
Russell C. Rockne et al.
PHYSICAL BIOLOGY (2019)
Mechanism-based Modeling of Tumor Growth and Treatment Response Constrained by Multiparametric Imaging Data
David A. Hormuth et al.
JCO CLINICAL CANCER INFORMATICS (2019)
Pharmacokinetics, Biodistribution, and Radiation Dosimetry for 89Zr-Trastuzumab in Patients with Esophagogastric Cancer
Joseph A. O'Donoghue et al.
JOURNAL OF NUCLEAR MEDICINE (2018)
Tumor Uptake of Cu-64-DOTA-Trastuzumab in Patients with Metastatic Breast Cancer
Joanne E. Mortimer et al.
JOURNAL OF NUCLEAR MEDICINE (2018)
Copper 64-labeled daratumumab as a PET/CT imaging tracer for multiple myeloma
Enrico Caserta et al.
BLOOD (2018)
Biophysical Modeling of In Vivo Glioma Response After Whole-Brain Radiation Therapy in a Murine Model of Brain Cancer
David A. Hormuth et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2018)
Incorporating drug delivery into an imaging-driven, mechanics-coupled reaction diffusion model for predicting the response of breast cancer to neoadjuvant chemotherapy: theory and preliminary clinical results
Angela M. Jarrett et al.
PHYSICS IN MEDICINE AND BIOLOGY (2018)
Clinical Potential of Human Epidermal Growth Factor Receptor 2 and Human Epidermal Growth Factor Receptor 3 Imaging in Breast Cancer
Kelly E. Henry et al.
PET CLINICS (2018)
A mechanically coupled reaction-diffusion model that incorporates intra-tumoural heterogeneity to predict in vivo glioma growth
David A. Hormuth et al.
JOURNAL OF THE ROYAL SOCIETY INTERFACE (2017)
ANGI-08. PREDICTING IN VIVO TUMOR GROWTH AND ANGIOGENESIS WITH AN MRI CALIBRATED BIOPHYSICAL MODEL
David Hormuth et al.
NEURO-ONCOLOGY (2017)
Three-dimensional image-based mechanical modeling for predicting the response of breast cancer to neoadjuvant therapy
Jared A. Weis et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2017)
Demonstration of nonlinearity bias in the measurement of the apparent diffusion coefficient in multicenter trials
Dariya I. Malyarenko et al.
MAGNETIC RESONANCE IN MEDICINE (2016)
Brain glioma growth model using reaction-diffusion equation with viscous stress tensor on brain MR images
Jianjun Yuan et al.
MAGNETIC RESONANCE IMAGING (2016)
[89Zr]Trastuzumab: Evaluation of Radiation Dosimetry, Safety, and Optimal Imaging Parameters in Women with HER2-Positive Breast Cancer
Richard Laforest et al.
MOLECULAR IMAGING AND BIOLOGY (2016)
Diagnostic accuracy of MRI to evaluate tumour response and residual tumour size after neoadjuvant chemotherapy in breast cancer patients
Alberto Bouzon et al.
RADIOLOGY AND ONCOLOGY (2016)
LIMITING THE DEVELOPMENT OF ANTI-CANCER DRUG RESISTANCE IN A SPATIAL MODEL OF MICROMETASTASES
Ami B. Shah et al.
MATHEMATICAL BIOSCIENCES AND ENGINEERING (2016)
QIN DAWG Validation of Gradient Nonlinearity Bias Correction Workflow for Quantitative Diffusion-Weighted Imaging in Multicenter Trials
Dariya I. Malyarenko et al.
TOMOGRAPHY (2016)
Prone Versus Supine Breast FDG-PET/CT for Assessing Locoregional Disease Distribution in Locally Advanced Breast Cancer
Richard G. Abramson et al.
ACADEMIC RADIOLOGY (2015)
Pharmacokinetics and safety of cyclophosphamide and docetaxel in a hemodialysis patient with early stage breast cancer: a case report
Liu Yang et al.
BMC CANCER (2015)
Predicting the Response of Breast Cancer to Neoadjuvant Therapy Using a Mechanically Coupled Reaction-Diffusion Model
Jared A. Weis et al.
CANCER RESEARCH (2015)
[64Cu]-labelled trastuzumab: optimisation of labelling by DOTA and NODAGA conjugation and initial evaluation in mice
Christina Schjoeth-Eskesen et al.
JOURNAL OF LABELLED COMPOUNDS & RADIOPHARMACEUTICALS (2015)
A patient-specific computational model of hypoxia-modulated radiation resistance in glioblastoma using 18F-FMISO-PET (vol 12, 0141174, 2015)
Russell C. Rockne et al.
JOURNAL OF THE ROYAL SOCIETY INTERFACE (2015)
Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusion
Ken C. L. Wong et al.
MEDICAL IMAGE ANALYSIS (2015)
Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images
Hongmei Mi et al.
MEDICAL IMAGE ANALYSIS (2015)
Comparison of prone versus supine 18F-FDG-PET of locally advanced breast cancer: Phantom and preliminary clinical studies
Jason M. Williams et al.
MEDICAL PHYSICS (2015)
Correlation of tumor characteristics derived from DCE-MRI and DW-MRI with histology in murine models of breast cancer
Stephanie L. Barnes et al.
NMR IN BIOMEDICINE (2015)
Predicting in vivo glioma growth with the reaction diffusion equation constrained by quantitative magnetic resonance imaging data
David A. Hormuth et al.
PHYSICAL BIOLOGY (2015)
Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients With PET
Hongmei Mi et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2014)
Functional Imaging of Human Epidermal Growth Factor Receptor 2-Positive Metastatic Breast Cancer Using Cu-64-DOTA-Trastuzumab PET
Joanne E. Mortimer et al.
JOURNAL OF NUCLEAR MEDICINE (2014)
Assessing reproducibility of diffusion-weighted magnetic resonance imaging studies in a murine model of HER2+breast cancer
Jennifer G. Whisenant et al.
MAGNETIC RESONANCE IMAGING (2014)
Patient specific tumor growth prediction using multimodal images
Yixun Liu et al.
MEDICAL IMAGE ANALYSIS (2014)
Longitudinal, intermodality registration of quantitative breast PET and MRI data acquired before and during neoadjuvant chemotherapy: Preliminary results
Nkiruka C. Atuegwu et al.
MEDICAL PHYSICS (2014)
Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease
Denis P. Shamonin et al.
FRONTIERS IN NEUROINFORMATICS (2014)
Kidney Tumor Growth Prediction by Coupling Reaction-Diffusion and Biomechanical Model
Xinjian Chen et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2013)
64Cu-DOTA-Trastuzumab PET Imaging in Patients with HER2-Positive Breast Cancer
Kenji Tamura et al.
JOURNAL OF NUCLEAR MEDICINE (2013)
A mechanically coupled reaction-diffusion model for predicting the response of breast tumors to neoadjuvant chemotherapy
Jared A. Weis et al.
PHYSICS IN MEDICINE AND BIOLOGY (2013)
Parameterizing the Logistic Model of Tumor Growth by DW-MRI and DCE-MRI Data to Predict Treatment Response and Changes in Breast Cancer Cellularity during Neoadjuvant Chemotherapy
Nkiruka C. Atuegwu et al.
TRANSLATIONAL ONCOLOGY (2013)
From patient-specific mathematical neuro-oncology to precision medicine
A. L. Baldock et al.
FRONTIERS IN ONCOLOGY (2013)
Incorporation of diffusion-weighted magnetic resonance imaging data into a simple mathematical model of tumor growth
N. C. Atuegwu et al.
PHYSICS IN MEDICINE AND BIOLOGY (2012)
An algorithm for longitudinal registration of PET/CT images acquired during neoadjuvant chemotherapy in breast cancer: preliminary results
Xia Li et al.
EJNMMI RESEARCH (2012)
Mathematical Modeling Predicts Synergistic Antitumor Effects of Combining a Macrophage-Based, Hypoxia-Targeted Gene Therapy with Chemotherapy
Markus R. Owen et al.
CANCER RESEARCH (2011)
Integration of Diffusion-Weighted MRI Data and a Simple Mathematical Model to Predict Breast Tumor Cellularity During Neoadjuvant Chemotherapy
Nkiruka C. Atuegwu et al.
MAGNETIC RESONANCE IN MEDICINE (2011)
Pharmacokinetic evaluation of doxorubicin plasma levels in normal and overweight patients with breast cancer and simulation of dose adjustment by different indexes of body mass
Deise Raquel Barpe et al.
EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES (2010)
elastix: A Toolbox for Intensity-Based Medical Image Registration
Stefan Klein et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2010)
Validation of an algorithm for the nonrigid registration of longitudinal breast MR images using realistic phantoms
Xia Li et al.
MEDICAL PHYSICS (2010)
Targeting Signal Transduction Pathways in Metastatic Breast Cancer: A Comprehensive Review
Lee S. Rosen et al.
ONCOLOGIST (2010)
The integration of quantitative multi-modality imaging data into mathematical models of tumors
Nkiruka C. Atuegwu et al.
PHYSICS IN MEDICINE AND BIOLOGY (2010)
Predicting the efficacy of radiotherapy in individual glioblastoma patients in vivo: a mathematical modeling approach
R. Rockne et al.
PHYSICS IN MEDICINE AND BIOLOGY (2010)
High Risk of Recurrence for Patients With Breast Cancer Who Have Human Epidermal Growth Factor Receptor 2-Positive, Node-Negative Tumors 1 cm or Smaller
Ana M. Gonzalez-Angulo et al.
JOURNAL OF CLINICAL ONCOLOGY (2009)
HER-2 Gene Amplification, HER-2 and Epidermal Growth Factor Receptor mRNA and Protein Expression, and Lapatinib Efficacy in Women with Metastatic Breast Cancer
Michael F. Press et al.
CLINICAL CANCER RESEARCH (2008)
Retention of paclitaxel in cancer cells for 1 week in vivo and in vitro
Taisuke Mori et al.
CANCER CHEMOTHERAPY AND PHARMACOLOGY (2006)
Understanding diffusion MR imaging techniques: From scalar diffusion-weighted imaging to diffusion tensor imaging and beyond
Patric Hagmann et al.
RADIOGRAPHICS (2006)
Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation
O Clatz et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2005)
MR elastography of breast cancer: Preliminary results.
AL McKnight et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2002)
Effects of cell volume fraction changes on apparent diffusion in human cells
AW Anderson et al.
MAGNETIC RESONANCE IMAGING (2000)
Share Paper
