Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The behaviour of random forest permutation-based variable importance measures under predictor correlation
Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images
Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging
Recurrent Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Small Organ Segmentation
Kernelized structural SVM learning for supervised object segmentation