Interleaved 3D-CNNs for joint segmentation of small-volume structures in head and neck CT images

Evaluation of segmentation methods on head and neck CT: Auto-segmentation challenge 2015

(2017) Patrik F. Raudaschl et al.   MEDICAL PHYSICS

In vivo MRI based prostate cancer localization with random forests and auto-context model

(2016) Chunjun Qian et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model

(2016) Tri Huynh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests

(2016) Yaozong Gao et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Nonlocal atlas-guided multi-channel forest learning for human brain labeling

(2016) Guangkai Ma et al.   MEDICAL PHYSICS

Technical Note: plastimatch mabs , an open source tool for automatic image segmentation

(2016) Paolo Zaffino et al.   MEDICAL PHYSICS

Multi-atlas segmentation of biomedical images: A survey

(2015) Juan Eugenio Iglesias et al.   MEDICAL IMAGE ANALYSIS

Learning to Rank Atlases for Multiple-Atlas Segmentation

(2014) Gerard Sanroma et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automated Segmentation of the Parotid Gland Based on Atlas Registration and Machine Learning: A Longitudinal MRI Study in Head-and-Neck Radiation Therapy

(2014) Xiaofeng Yang et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Automatic segmentation of head and neck CT images for radiotherapy treatment planning using multiple atlases, statistical appearance models, and geodesic active contours

(2014) Karl D. Fritscher et al.   MEDICAL PHYSICS

Automatic hippocampus segmentation of 7.0Tesla MR images by combining multiple atlases and auto-context models

(2013) Minjeong Kim et al.   NEUROIMAGE

Prostate segmentation by sparse representation based classification

(2012) Yaozong Gao et al.   MEDICAL PHYSICS

Global cancer statistics

(2011) Ahmedin Jemal et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Auto-segmentation of normal and target structures in head and neck CT images: A feature-driven model-based approach

(2011) Arish A. Qazi et al.   MEDICAL PHYSICS

A Generative Model for Image Segmentation Based on Label Fusion

(2010) Mert R Sabuncu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation

(2009) Zhuowen Tu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE