Research graph
References from DeepScratch: Single-cell based topological metrics of scratch wound assays. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1002/j.2040-4603.2012.tb00467.x
10.1002/j.2040-4603.2012.tb00467.x · External reference
10.1038/s41567-019-0618-1
10.1038/s41567-019-0618-1 · External reference
10.1016/s0070-2153(09)89004-2
10.1016/s0070-2153(09)89004-2 · External reference
Robust quantitative scratch assay
10.1093/bioinformatics/btv746 · 2016 · External reference
Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines
10.1016/j.patcog.2012.03.001 · 2012 · External reference
Estimating cell diffusivity and cell proliferation rate by interpreting IncuCyte ZOOMTM assay data using the Fisher-Kolmogorov model
10.1186/s12918-015-0182-y · 2015 · External reference
10.1002/cyto.a.23701
10.1002/cyto.a.23701 · External reference
Return of the Devil in the Details : Delving Deep into Convolutional Nets
2014 · External reference
10.1038/s41592-018-0261-2
10.1038/s41592-018-0261-2 · External reference
DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor Segmentation using Magnetic Resonance FLAIR Images
10.1007/s11548-020-02186-z · 2020 · External reference
Multilabel segmentation of cancer cell culture on vascular structures with deep neural networks
2020 · External reference
Keras R-CNN: library for cell detection in biological images using deep neural networks
10.1186/s12859-020-03635-x · 2020 · External reference
10.1002/cyto.a.23863
10.1002/cyto.a.23863 · External reference
DeepSplit : Segmentation of Microscopy Images Using Multi-Task Convolutional Networks
2020 · External reference
Cell Profiler 3.0: Next-generation image processing for biology
2018 · External reference
Efficient Object Localization Using Convolutional Networks
2015 · External reference
Microscopy cell counting and detection with fully convolutional regression networks
10.1080/21681163.2016.1149104 · 2018 · External reference
Motion sensing superpixels (MOSES) is a systematic computational framework to quantify and discover cellular motion phenotypes
2019 · External reference
Pavement cells and the topology puzzle
2017 · External reference
The correlation between cell division and the shapes and sizes of prismatic cells in epidermis of cucumis
1926 · External reference
10.1242/dev.151233
10.1242/dev.151233 · External reference
10.1038/nature05014
10.1038/nature05014 · External reference
An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics
2018 · External reference
10.1371/journal.pone.0079227
10.1371/journal.pone.0079227 · External reference
10.15252/embj.201592374
10.15252/embj.201592374 · External reference
10.15252/msb.20145644
10.15252/msb.20145644 · External reference
10.3109/10409238.2016.1146222
10.3109/10409238.2016.1146222 · External reference
KCML: a machine-learning framework for inference of multi-scale gene functions from genetic perturbation screens
10.15252/msb.20199083 · 2020 · External reference
10.1016/j.bbamcr.2004.04.007
10.1016/j.bbamcr.2004.04.007 · External reference
Genome-wide functional analysis reveals central signaling regulators of lymphatic endothelial cell migration and remodeling
2017 · External reference
10.1242/jcs.174623
10.1242/jcs.174623 · External reference
Deep Residual Learning for Image Recognition
2015 · External reference
Cell Profiler: image analysis software for identifying and quantifying cell phenotypes
10.1186/gb-2006-7-10-r100 · 2006 · External reference
Cells activated for wound repair have the potential to direct collective invasion of an epithelium
10.1091/mbc.e15-09-0615 · 2016 · External reference
10.1016/j.ydbio.2004.11.012
10.1016/j.ydbio.2004.11.012 · External reference
10.1016/j.bbrc.2018.04.085
10.1016/j.bbrc.2018.04.085 · External reference
