Semi-supervised medical image segmentation via weak-to-strong perturbation consistency and edge-aware contrastive representation

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Nature Methods · 2020 · 8.6K citations · Full text

Computing, Biomedical Engineering, Computer Science +13

N4ITK: Improved N3 Bias Correction

Nicholas J. Tustison, Brian Avants, Philip A. Cook et al. · IEEE Transactions on Medical Imaging · 2010 · 6.4K citations

Medicine, Neuroscience, Radiology +16

Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization

Xun Huang, Serge Belongie · 2017 · 4.9K citations

Computing, Computer Science, Computer Vision +11

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

Takeru Miyato, Shin‐ichi Maeda, Masanori Koyama et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2018 · 2.8K citations

Computing, Computer Science, Computer Vision +15

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Kihyuk Sohn, David Berthelot, Chunliang Li et al. · arXiv (Cornell University) · 2020 · 2.3K citations · Full text

Computing, Computer Science, Computer Vision +16