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Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE, 2014, Volume 9A
Conference Proceeding
European Journal of Nuclear Medicine and Molecular Imaging, ISSN 1619-7070, 01/2017, Volume 44, Issue 1, pp. 151 - 165
After seminal papers over the period 2009 - 2011, the use of texture analysis of PET/CT images for quantification of intratumour uptake heterogeneity has... 
Recommendations | Heterogeneity | Image texture | Critical review | PET/CT | Animals | Positron Emission Tomography Computed Tomography - trends | Imaging, Three-Dimensional - trends | Humans | Image Enhancement - methods | Evidence-Based Medicine | Forecasting | Tomography | Medical diagnosis | Cancer | Life Sciences | Bioengineering | Nuclear medicine
Journal Article
Journal Article
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, ISSN 1619-7070, 01/2017, Volume 44, Issue 1, pp. 151 - 165
After seminal papers over the period 2009 - 2011, the use of texture analysis of PET/CT images for quantification of intratumour uptake heterogeneity has... 
FDG-PET | THERAPY RESPONSE | Image texture | QUANTIFYING TUMOR HETEROGENEITY | CERVICAL-CANCER | Recommendations | Heterogeneity | F-18-FDG PET | GRADIENT-BASED METHOD | IMAGING FEATURES | PET/CT | QUANTITATIVE ASSESSMENT | PROGNOSTIC-SIGNIFICANCE | Critical review | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | INTRATUMORAL METABOLIC HETEROGENEITY
Journal Article
European Journal of Nuclear Medicine and Molecular Imaging, ISSN 1619-7070, 4/2011, Volume 38, Issue 4, pp. 663 - 672
Journal Article
European Journal of Nuclear Medicine and Molecular Imaging, ISSN 1619-7070, 7/2016, Volume 43, Issue 8, pp. 1453 - 1460
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 06/2019, Volume 28, Issue 6, pp. 3075 - 3088
Journal Article
Journal of Nuclear Medicine, ISSN 0161-5505, 03/2011, Volume 52, Issue 3, pp. 369 - 378
Journal Article
JOURNAL OF NUCLEAR MEDICINE, ISSN 0161-5505, 09/2019, Volume 60, Issue Suppl 2, pp. 38S - 44S
The aim of this review is to provide readers with an update on the state of the art, pitfalls, solutions for those pitfalls, future perspectives, and... 
FDG-PET | QUANTIFICATION | TEXTURE FEATURES | MODEL | machine learning | CANCER | PREDICTION | HETEROGENEITY | radiomics | deep learning | METHODOLOGY | SEGMENTATION | NEURAL-NETWORK | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Nuclear medicine | Image segmentation | Automation | Image processing | Segmentation | Data acquisition | Machine learning
Journal Article
International Journal of Radiation Oncology, Biology, Physics, ISSN 0360-3016, 2010, Volume 77, Issue 1, pp. 301 - 308
Journal Article
Journal of Nuclear Medicine, ISSN 0161-5505, 03/2017, Volume 58, Issue 3, pp. 365 - 366
Radiomics is defined as the high-throughput extraction of quantitative metrics from medical images (1). One of its main assumptions is that medical images are... 
CELL LUNG-CANCER | HETEROGENEITY | F-18-FDG PET/CT | IMAGES | MRI | QUANTIFICATION | TEXTURE ANALYSIS | CARCINOMA | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | FEATURES | Positron Emission Tomography Computed Tomography | Fluorodeoxyglucose F18 | Tomography, X-Ray Computed | Life Sciences | Bioengineering | Nuclear medicine
Journal Article
European journal of nuclear medicine and molecular imaging, ISSN 1619-7070, 07/2019, pp. 1 - 8
Techniques from the field of artificial intelligence, and more specifically machine (deep) learning methods, have been core components of most recent... 
Learning | Medicine | Nuclear medicine | Image segmentation | Learning algorithms | Medical imaging | Segmentation | Image processing | Noise reduction | Artificial intelligence | Image reconstruction
Journal Article
SCIENTIFIC REPORTS, ISSN 2045-2322, 07/2019, Volume 9, Issue 1, pp. 9743 - 7
Radiogenomics aims at investigating the relationship between imaging radiomic features and gene expression alterations. This study addressed the potential... 
STAGE | MULTIDISCIPLINARY SCIENCES | RADIOMICS | CT TEXTURE ANALYSIS | COLON | ASSOCIATION | EXPRESSION | TUMOR HETEROGENEITY | FEATURES | Computed tomography | Colorectal carcinoma | Medical prognosis | Colorectal cancer | Gene expression | Survival | Tumors
Journal Article
The Journal of Nuclear Medicine, ISSN 0161-5505, 05/2018, Volume 59, p. 640
Purpose: Radiomics is foreseen as an essential prognostic tool for cancer risk assessment. The radiomics signature described in Aerts et al. (Nat. Commun.... 
Phenotypes | Translation | Medical imaging | Lung cancer | Positron emission | Health risks | Patients | Wavelet | Cohort analysis | Computed tomography | Mathematical analysis | Medical prognosis | Risk assessment | Dependence | Tomography | Feature extraction | Head and neck cancer | Head & neck cancer | Pretreatment | Cancer | Tumors
Journal Article
Computerized Medical Imaging and Graphics, ISSN 0895-6111, 2015, Volume 46, pp. 300 - 301
Journal Article
European Journal of Nuclear Medicine and Molecular Imaging, ISSN 1619-7070, 6/2014, Volume 41, Issue 6, pp. 1172 - 1175
Journal Article