Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency

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

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh et al. · IEEE Transactions on Medical Imaging · 2019 · 4.1K citations · Full text

Computing, Computer Science, Radiology +17

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

Attention gated networks: Learning to leverage salient regions in medical images

Jo Schlemper, Ozan Oktay, Michiel Schaap et al. · Medical Image Analysis · 2019 · 1.9K citations · Full text

Computing, Computer Science, Radiology +17

Temporal Ensembling for Semi-Supervised Learning

Samuli Laine, Timo Aila · arXiv (Cornell University) · 2016 · 1.5K citations · Full text

Computing, Computer Science, Computer Vision +16