Related references
Note: Only part of the references are listed.Novel Radiomic Features Based on Joint intensity Matrices for Predicting Glioblastoma Patient Survival Time
Ahmad Chaddad et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2019)
Preliminary Diagnostic Accuracy of Multiparametric Magnetic Resonance Imaging to Detect Residual Prostate Cancer Following Focal Therapy with Irreversible Electroporation
Matthijs J. Scheltema et al.
EUROPEAN UROLOGY FOCUS (2019)
Magnetic Resonance Imaging-Guided Adaptive Radiation Therapy: A Game Changer for Prostate Treatment?
Angela U. Pathmanathan et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2018)
Radiomics Evaluation of Histological Heterogeneity Using Multiscale Textures Derived From 3D Wavelet Transformation of Multispectral Images
Ahmad Chaddad et al.
FRONTIERS IN ONCOLOGY (2018)
Multimodal Radiomic Features for the Predicting Gleason Score of Prostate Cancer
Ahmad Chaddad et al.
CANCERS (2018)
Deep Radiomic Analysis of MRI Related to Alzheimer's Disease
Ahmad Chaddad et al.
IEEE ACCESS (2018)
T2-weighted MRI-derived textural features reflect prostate cancer aggressiveness: preliminary results
Gabriel Nketiah et al.
EUROPEAN RADIOLOGY (2017)
Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study
Shoshana B. Ginsburg et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2017)
Machine learning-based analysis of MR radiomics can help to improve the diagnostic performance of PI-RADS v2 in clinically relevant prostate cancer
Jing Wang et al.
EUROPEAN RADIOLOGY (2017)
Diffusion radiomics analysis of intratumoral heterogeneity in a murine prostate cancer model following radiotherapy: Pixelwise correlation with histology
Yu-Chun Lin et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2017)
Predicting survival time of lung cancer patients using radiomic analysis
Ahmad Chaddad et al.
ONCOTARGET (2017)
Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder
Ahmad Chaddad et al.
BMC NEUROSCIENCE (2017)
The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma Definition of Grading Patterns and Proposal for a New Grading System
Jonathan I. Epstein et al.
AMERICAN JOURNAL OF SURGICAL PATHOLOGY (2016)
Prediction of biochemical recurrence after radical prostatectomy with PI-RADS version 2 in prostate cancers: initial results
Sung Yoon Park et al.
EUROPEAN RADIOLOGY (2016)
PI-RADS Prostate Imaging - Reporting and Data System: 2015, Version 2
Jeffrey C. Weinreb et al.
EUROPEAN UROLOGY (2016)
An imaging-based approach predicts clinical outcomes in prostate cancer through a novel support vector machine classification
Yu-Dong Zhang et al.
ONCOTARGET (2016)
Prostate cancer radiomics and the promise of radiogenomics
Radka Stoyanova et al.
TRANSLATIONAL CANCER RESEARCH (2016)
Multi Texture Analysis of Colorectal Cancer Continuum Using Multispectral Imagery
Ahmad Chaddad et al.
PLOS ONE (2016)
Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores
Andreas Wibmer et al.
EUROPEAN RADIOLOGY (2015)
Long-Term Follow-Up of a Large Active Surveillance Cohort of Patients With Prostate Cancer
Laurence Klotz et al.
JOURNAL OF CLINICAL ONCOLOGY (2015)
Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images
Duc Fehr et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2015)
Pathologic outcomes for low-risk prostate cancer after delayed radical prostatectomy in the United States
Adam B. Weiner et al.
UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS (2015)
Histogram analysis of diffusion kurtosis magnetic resonance imaging in differentiation of pathologic Gleason grade of prostate cancer
Qing Wang et al.
UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS (2015)
Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models
Farzad Khalvati et al.
BMC MEDICAL IMAGING (2015)
Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework
Audrey G. Chung et al.
IEEE ACCESS (2015)
Prostate MRI: Evaluating Tumor Volume and Apparent Diffusion Coefficient as Surrogate Biomarkers for Predicting Tumor Gleason Score
Olivio F. Donati et al.
CLINICAL CANCER RESEARCH (2014)
Computer-Aided Detection of Prostate Cancer inMRI
Geert Litjens et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2014)
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Hugo J. W. L. Aerts et al.
NATURE COMMUNICATIONS (2014)
Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS
Pallavi Tiwari et al.
MEDICAL IMAGE ANALYSIS (2013)
Quantitative Analysis of Multiparametric Prostate MR Images: Differentiation between Prostate Cancer and Normal Tissue and Correlation with Gleason Score-A Computer-aided Diagnosis Development Study
Yahui Peng et al.
RADIOLOGY (2013)
Seminal Vesicle Invasion in Prostate Cancer: Evaluation by Using Multiparametric Endorectal MR Imaging
Fatma Nur Soylu et al.
RADIOLOGY (2013)
Early Changes in Apparent Diffusion Coefficient From Diffusion-Weighted MR Imaging During Radiotherapy for Prostate Cancer
Sung Yoon Park et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2012)
Multiparametric MRI maps for detection and grading of dominant prostate tumors
Mehdi Moradi et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2012)
Automatic computer-aided detection of prostate cancer based on multiparametric magnetic resonance image analysis
P. C. Vos et al.
PHYSICS IN MEDICINE AND BIOLOGY (2012)
Relationship between Apparent Diffusion Coefficients at 3.0-T MR Imaging and Gleason Grade in Peripheral Zone Prostate Cancer
Thomas Hambrock et al.
RADIOLOGY (2011)
Diffusion-weighted Endorectal MR Imaging at 3 T for Prostate Cancer: Tumor Detection and Assessment of Aggressiveness
Hebert Alberto Vargas et al.
RADIOLOGY (2011)
Clinical Results of Long-Term Follow-Up of a Large, Active Surveillance Cohort With Localized Prostate Cancer
Laurence Klotz et al.
JOURNAL OF CLINICAL ONCOLOGY (2010)
Mortality Results from a Randomized Prostate-Cancer Screening Trial
Gerald L. Andriole et al.
NEW ENGLAND JOURNAL OF MEDICINE (2009)
Screening and Prostate-Cancer Mortality in a Randomized European Study
Fritz H. Schroeder et al.
NEW ENGLAND JOURNAL OF MEDICINE (2009)
Empirical characterization of random forest variable importance measures
Kelfie J. Archer et al.
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2008)
Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI
A Madabhushi et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2005)
Cancer-specific mortality after surgery or radiation for patients with clinically localized prostate cancer managed during the prostate-specific antigen era
AV D'Amico et al.
JOURNAL OF CLINICAL ONCOLOGY (2003)