An Effective CNN Method for Fully Automated Segmenting Subcutaneous and Visceral Adipose Tissue on CT Scans

Automated and accurate quantification of subcutaneous and visceral adipose tissue from magnetic resonance imaging based on machine learning

(2019) Ning Shen et al.   MAGNETIC RESONANCE IMAGING

Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue from Non-Contrast CT

(2018) Frederic Commandeur et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Fully convolutional networks for automated segmentation of abdominal adipose tissue depots in multicenter water-fat MRI

(2018) Taro Langner et al.   MAGNETIC RESONANCE IN MEDICINE

Fully Convolutional Networks for Semantic Segmentation

(2017) Evan Shelhamer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos

(2017) Lequan Yu et al.   IEEE Journal of Biomedical and Health Informatics

Automated analysis of liver fat, muscle and adipose tissue distribution from CT suitable for large-scale studies

(2017) Joel Kullberg et al.   Scientific Reports

Early prediction of clinical benefit of treating ovarian cancer using quantitative CT image feature analysis

(2016) Yuchen Qiu et al.   ACTA RADIOLOGICA

Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients

(2016) Nastaran Emaminejad et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Applying a new quantitative global breast MRI feature analysis scheme to assess tumor response to chemotherapy

(2016) Faranak Aghaei et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

A therapeutic cancer vaccine against GL261 murine glioma

(2016) Mark S. Kindy et al.   Journal of Translational Medicine

Automatic cell nuclei segmentation and classification of breast cancer histopathology images

(2016) Pin Wang et al.   SIGNAL PROCESSING

Quantitative measurement of adiposity using CT images to predict the benefit of bevacizumab-based chemotherapy in epithelial ovarian cancer patients

(2016) YUNZHI WANG et al.   Oncology Letters

Measurements of adiposity as clinical biomarkers for first-line bevacizumab-based chemotherapy in epithelial ovarian cancer

(2014) Katrina N. Slaughter et al.   GYNECOLOGIC ONCOLOGY

Prevalence of Childhood and Adult Obesity in the United States, 2011-2012

(2014) Cynthia L. Ogden et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Computer-aided Assessment of Regional Abdominal Fat with Food Residue Removal in CT

(2013) Sokratis Makrogiannis et al.   ACADEMIC RADIOLOGY

Visceral fat area is an independent predictive biomarker of outcome after first-line bevacizumab-based treatment in metastatic colorectal cancer

(2009) B. Guiu et al.   GUT

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Abdominal Obesity and the Metabolic Syndrome: Contribution to Global Cardiometabolic Risk

(2008) Jean-Pierre Després et al.   ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY

Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information

(2008) Stefan Klein et al.   MEDICAL PHYSICS

Comparison of Low-Dose CT and MR for Measurement of Intra-Abdominal Adipose Tissue

(2007) Dae Young Yoon et al.   ACADEMIC RADIOLOGY