Segmentation with mixed supervision: Confidence maximization helps knowledge distillation

Self-paced and self-consistent co-training for semi-supervised image segmentation

(2021) Ping Wang et al.   MEDICAL IMAGE ANALYSIS

Deep Co-Training for Semi-Supervised Image Segmentation

(2020) Jizong Peng et al.   PATTERN RECOGNITION

Discretely-constrained deep network for weakly supervised segmentation

(2020) Jizong Peng et al.   NEURAL NETWORKS

Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation

(2019) Jose Dolz et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

(2018) Jose Dolz et al.   NEUROIMAGE

Families of Alpha- Beta- and Gamma- Divergences: Flexible and Robust Measures of Similarities

(2010) Andrzej Cichocki et al.   Entropy

Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews]

(2009) O. Chapelle et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS