Radka Stoyanova

发表

Evaluation of radiomic texture feature error due to MRI acquisition and reconstruction: A simulation study utilizing ground truth.

Fei Yang, Nesrin Dogan, Radka Stoyanova, 2018, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Development and application of methods for enhancing features in NMR spectra for pattern recognition.

Radka Stoyanova, 2005 .

Bayesian image decomposition applied to relaxographic imaging

Xin Li, Michael F. Ochs, Truman R. Brown, 2005, Int. J. Imaging Syst. Technol..

A novel approach for increasing sensitivity and correcting saturation artifacts of radioactively labeled cDNA arrays

Radka Stoyanova, Eric Ross, Troy D. Querec, 2004, Bioinform..

Automation of pattern recognition analysis of dynamic contrast‐enhanced MRI data to characterize intratumoral vascular heterogeneity

Radka Stoyanova, Jason A. Koutcher, Ellen Ackerstaff, 2018, Magnetic resonance in medicine.

A Bayesian Markov chain Monte Carlo solution of the bilinear problem

Michael F. Ochs, Truman R. Brown, Radka Stoyanova, 2001 .

Validation of a deformable MRI to CT registration algorithm employing same day planning MRI for surrogate analysis

Nesrin Dogan, Radka Stoyanova, Kyle R. Padgett, 2018, Journal of applied clinical medical physics.

Classification of suspicious lesions on prostate multiparametric MRI using machine learning

Olmo Zavala-Romero, Deukwoo Kwon, Radka Stoyanova, 2018, Journal of medical imaging.

Nonnegative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain

Lucas C. Parra, Paul Sajda, Truman R. Brown, 2004, IEEE Transactions on Medical Imaging.

A Quality Control System for Automated Prostate Segmentation on T2-Weighted MRI

Olmo Zavala-Romero, Radka Stoyanova, Tone F Bathen, 2020, Diagnostics.

Denoising of MR spectroscopic imaging data using statistical selection of principal components

Radka Stoyanova, Andrew A. Maudsley, Abas Abdoli, 2016, Magnetic Resonance Materials in Physics, Biology and Medicine.

Normalization of single-channel DNA array data by principal component analysis

Truman R. Brown, Radka Stoyanova, Troy D. Querec, 2004, Bioinform..

HiRes - a tool for comprehensive assessment and interpretation of metabolomic data

Qi Zhao, Paul Sajda, Truman R. Brown, 2006, Bioinform..

NESTED 3D NEURAL NETWORKS FOR KIDNEY AND TUMOR SEGMENTATION

Olmo Zavala-Romero, Jorge Zavala-Hidalgo, Radka Stoyanova, 2019, Submissions to the 2019 Kidney Tumor Segmentation Challenge: KiTS19.

A personalized decision aid for prostate cancer shared decision making

David Scheinker, Mark Buyyounouski, Radka Stoyanova, 2021, BMC Medical Informatics and Decision Making.

Automatic Detection and Quantitative DCE-MRI Scoring of Prostate Cancer Aggressiveness

Radka Stoyanova, Nestor Andres Parra, Alan Pollack, 2017, Front. Oncol..

Magnetic resonance imaging (MRI)-based radiomics for prostate cancer radiotherapy

Nesrin Dogan, Radka Stoyanova, John C. Ford, 2018, Translational andrology and urology.

Daily Tracking of Glioblastoma Resection Cavity, Cerebral Edema, and Tumor Volume with MRI-Guided Radiation Therapy

Radka Stoyanova, John C Ford, David Asher, 2018, Cureus.

DCE-MRI for Delineation of Hypoxic Regions in Prostate Tumors

Radka Stoyanova, Jason A. Koutcher, Ellen Ackerstaff, 2010 .

Automatic alignment of individual peaks in large high-resolution spectral data sets.

John C Lindon, Jeremy K Nicholson, Radka Stoyanova, 2004, Journal of magnetic resonance.

Association of multiparametric MRI quantitative imaging features with prostate cancer gene expression in MRI-targeted prostate biopsies

Robert J. Gillies, Radka Stoyanova, Elai Davicioni, 2016, Oncotarget.

Prostate cancer radiomics and the promise of radiogenomics.

Yohann Tschudi, Radka Stoyanova, Robert J Gillies, 2016, Translational cancer research.

Gaussian mixture model‐based classification of dynamic contrast enhanced MRI data for identifying diverse tumor microenvironments: preliminary results

Gyunggoo Cho, Wei Huang, Radka Stoyanova, 2013, NMR in biomedicine.

Mapping Tumor Hypoxia In Vivo Using Pattern Recognition of Dynamic Contrast-enhanced MRI Data.

Jason A Koutcher, Radka Stoyanova, Ellen Ackerstaff, 2012, Translational oncology.

NMR Spectral Quantitation by Principal Component Analysis.

Truman R. Brown, Radka Stoyanova, 2002 .

Application of Principal-Component Analysis for NMR Spectral Quantitation

Truman R. Brown, Radka Stoyanova, T. Brown, 1995 .

Multiparametric-MRI and Targeted Biopsies in the Management of Prostate Cancer Patients on Active Surveillance

Radka Stoyanova, Alan Pollack, Sanoj Punnen, 2015, Front. Oncol..

Association of Radiomics and Metabolic Tumor Volumes in Radiation Treatment of Glioblastoma Multiforme.

Deukwoo Kwon, Radka Stoyanova, A. Markoe, 2017, International journal of radiation oncology, biology, physics.

Spectral decomposition for resolving partial volume effects in MRSI

Radka Stoyanova, Sulaiman Sheriff, Andrew A. Maudsley, 2018, Magnetic resonance in medicine.

Sample classification based on Bayesian spectral decomposition of metabonomic NMR data sets.

John C Lindon, Jeremy K Nicholson, Radka Stoyanova, 2004, Analytical chemistry.

Tumor pH and Vascularity in Human Prostate Cancer Models

Radka Stoyanova, Jason A. Koutcher, Ellen Ackerstaff, 2012 .

Radiomics and radiogenomics of prostate cancer

Baris Turkbey, Radka Stoyanova, Stephanie Harmon, 2018, Abdominal Radiology.

Delineation of Tumor Habitats based on Dynamic Contrast Enhanced MRI

Baris Turkbey, Lothar Lilge, Yohann Tschudi, 2017, Scientific Reports.