Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Radiomics-based differentiation of lung disease models generated by polluted air based on X-ray computed tomography data

(2016) Krisztián Szigeti et al.   BMC MEDICAL IMAGING

The Quantitative Criteria Based on the Fractal Dimensions, Entropy, and Lacunarity for the Spatial Distribution of Cancer Cell Nuclei Enable Identification of Low or High Aggressive Prostate Carcinomas

(2016) Przemyslaw Waliszewski   Frontiers in Physiology

Radiomics for rectal cancer

(2016) Nicola Dinapoli et al.   Translational Cancer Research

Automatic prediction of tumour malignancy in breast cancer with fractal dimension

(2016) Alan Chan et al.   Royal Society Open Science

Combined T2w volumetry, DW-MRI and DCE-MRI for response assessment after neo-adjuvant chemoradiation in locally advanced rectal cancer

(2015) Martijn Intven et al.   ACTA ONCOLOGICA

Selection of appropriate end-points (pCR vs 2yDFS) for tailoring treatments with prediction models in locally advanced rectal cancer

(2015) Vincenzo Valentini et al.   RADIOTHERAPY AND ONCOLOGY

CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma

(2015) Thibaud P. Coroller et al.   RADIOTHERAPY AND ONCOLOGY

Machine Learning methods for Quantitative Radiomic Biomarkers

(2015) Chintan Parmar et al.   Scientific Reports

Quantification of Heterogeneity as a Biomarker in Tumor Imaging: A Systematic Review

(2014) Lejla Alic et al.   PLoS One

Nomogram predicting response after chemoradiotherapy in rectal cancer using sequential PETCT imaging: A multicentric prospective study with external validation

(2014) Ruud G.P.M. van Stiphout et al.   RADIOTHERAPY AND ONCOLOGY

Cancer Genome Landscapes

(2013) B. Vogelstein et al.   SCIENCE

Quantitating the subtleties of microglial morphology with fractal analysis

(2013) Audrey Karperien et al.   Frontiers in Cellular Neuroscience

Radiomics: Extracting more information from medical images using advanced feature analysis

(2012) Philippe Lambin et al.   EUROPEAN JOURNAL OF CANCER

Preoperative Versus Postoperative Chemoradiotherapy for Locally Advanced Rectal Cancer: Results of the German CAO/ARO/AIO-94 Randomized Phase III Trial After a Median Follow-Up of 11 Years

(2012) Rolf Sauer et al.   JOURNAL OF CLINICAL ONCOLOGY

Radiomics: the process and the challenges

(2012) Virendra Kumar et al.   MAGNETIC RESONANCE IMAGING

Assessment of Primary Colorectal Cancer Heterogeneity by Using Whole-Tumor Texture Analysis: Contrast-enhanced CT Texture as a Biomarker of 5-year Survival

(2012) Francesca Ng et al.   RADIOLOGY

Wait-and-See Policy for Clinical Complete Responders After Chemoradiation for Rectal Cancer

(2011) Monique Maas et al.   JOURNAL OF CLINICAL ONCOLOGY

Locally Advanced Rectal Cancer: MR Imaging in Prediction of Response after Preoperative Chemotherapy and Radiation Therapy

(2009) Brunella Barbaro et al.   RADIOLOGY