Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning

Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention

(2021) Minyoung Chung et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling

(2021) Kelei He et al.   MEDICAL IMAGE ANALYSIS

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

(2020) Cheng Chen et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

One-step spectral clustering based on self-paced learning

(2020) Tao Tong et al.   PATTERN RECOGNITION LETTERS

Unsupervised domain adaptation for medical imaging segmentation with self-ensembling

(2019) Christian S. Perone et al.   NEUROIMAGE

Bounded activation functions for enhanced training stability of deep neural networks on visual pattern recognition problems

(2016) Shan Sung Liew et al.   NEUROCOMPUTING

Visual Domain Adaptation: A survey of recent advances

(2015) Vishal M Patel et al.   IEEE SIGNAL PROCESSING MAGAZINE

Computer-aided Diagnosis: How to Move from the Laboratory to the Clinic

(2011) Bram van Ginneken et al.   RADIOLOGY

A Survey on Transfer Learning

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