U-Net: deep learning for cell counting, detection, and morphometry

Deep learning for biology

(2018) Sarah Webb   NATURE

CDeep3M—Plug-and-Play cloud-based deep learning for image segmentation

(2018) Matthias G. Haberl et al.   NATURE METHODS

Content-aware image restoration: pushing the limits of fluorescence microscopy

(2018) Martin Weigert et al.   NATURE METHODS

An objective comparison of cell-tracking algorithms

(2017) Vladimír Ulman et al.   NATURE METHODS

Automated Training of Deep Convolutional Neural Networks for Cell Segmentation

(2017) Sajith Kecheril Sadanandan et al.   Scientific Reports

Deep learning

(2016) Nicole Rusk   NATURE METHODS

A benchmark for comparison of cell tracking algorithms

(2014) Martin Maška et al.   BIOINFORMATICS

NIH Image to ImageJ: 25 years of image analysis

(2012) Caroline A Schneider et al.   NATURE METHODS

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION