How to develop a meaningful radiomic signature for clinical use in oncologic patients

A Delta-radiomics model for preoperative evaluation of Neoadjuvant chemotherapy response in high-grade osteosarcoma

(2020) Peng Lin et al.   CANCER IMAGING

A CT-based radiomics nomogram for differentiation of focal nodular hyperplasia from hepatocellular carcinoma in the non-cirrhotic liver

(2020) Pei Nie et al.   CANCER IMAGING

Brain Tissue Segmentation and Bias Field Correction of MR Image Based on Spatially Coherent FCM with Nonlocal Constraints

(2019) Jianhua Song et al.   Computational and Mathematical Methods in Medicine

Hepatocellular carcinoma: radiomics nomogram on gadoxetic acid-enhanced MR imaging for early postoperative recurrence prediction

(2019) Zhen Zhang et al.   CANCER IMAGING

Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets

(2019) Hyemin Um et al.   PHYSICS IN MEDICINE AND BIOLOGY

Radiomic feature stability across 4D respiratory phases and its impact on lung tumor prognosis prediction

(2019) Qian Du et al.   PLoS One

Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation

(2019) Guotai Wang et al.   Frontiers in Computational Neuroscience

Bringing radiomics into a multi-omics framework for a comprehensive genotype–phenotype characterization of oncological diseases

(2019) Mario Zanfardino et al.   Journal of Translational Medicine

Evaluating the performance of convolutional neural networks with direct acyclic graph architectures in automatic segmentation of breast lesion in US images

(2019) Marly Guimarães Fernandes Costa et al.   BMC MEDICAL IMAGING

The curse(s) of dimensionality

(2018) Naomi Altman et al.   NATURE METHODS

Perfusion MR Imaging of Breast Cancer: Insights Using “Habitat Imaging”

(2018) Robert J. Gillies et al.   RADIOLOGY

Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction

(2018) Seong Ho Park et al.   RADIOLOGY

A study of positioning orientation effect on segmentation accuracy using convolutional neural networks for rectal cancer

(2018) Kuo Men et al.   Journal of Applied Clinical Medical Physics

Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation

(2017) Shuo Wang et al.   MEDICAL IMAGE ANALYSIS

Radiomics: the bridge between medical imaging and personalized medicine

(2017) Philippe Lambin et al.   Nature Reviews Clinical Oncology

Imaging biomarker roadmap for cancer studies

(2016) James P. B. O'Connor et al.   Nature Reviews Clinical Oncology

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

The Potential of Radiomic-Based Phenotyping in Precision Medicine

(2016) Hugo J. W. L. Aerts   JAMA Oncology

Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer

(2015) Chintan Parmar et al.   Frontiers in Oncology

False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review

(2015) Anastasia Chalkidou et al.   PLoS One

Quantitative imaging biomarkers: A review of statistical methods for technical performance assessment

(2014) David L Raunig et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

(2014) Hugo J. W. L. Aerts et al.   Nature Communications

Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities

(2013) Adrien Depeursinge et al.   MEDICAL IMAGE ANALYSIS

Tumour heterogeneity in the clinic

(2013) Philippe L. Bedard et al.   NATURE

Radiomics: the process and the challenges

(2012) Virendra Kumar et al.   MAGNETIC RESONANCE IMAGING

Current perspectives in medical image perception

(2010) E. A. Krupinski   Attention Perception & Psychophysics