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TDAExplore: Quantitative Image Analysis Through Topology-Based Machine Learning

https://doi.org/10.2139/ssrn.3878412
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inferredcites →https://doi.org/10.1007/978-3-662-44199-2_28openalex-extracted
The Gudhi Library: Simplicial Complexes and Persistent Homology
inferredcites →https://doi.org/10.1007/s11517-008-0380-5openalex-extracted
IICBU 2008: a proposed benchmark suite for biological image analysis
inferredcites →https://doi.org/10.1016/j.cub.2013.04.057openalex-extracted
Dynamic Localization of G-Actin during Membrane Protrusion in Neuronal Motility
inferredcites →https://doi.org/10.1016/j.cub.2020.04.085openalex-extracted
Arp2/3 and Mena/VASP Require Profilin 1 for Actin Network Assembly at the Leading Edge
inferredcites →https://doi.org/10.1016/j.devcel.2014.10.026openalex-extracted
Profilin-1 Serves as a Gatekeeper for Actin Assembly by Arp2/3-Dependent and -Independent Pathways
inferredcites →https://doi.org/10.1016/j.isci.2018.12.026openalex-extracted
ALS-Linked SOD1 Mutants Enhance Neurite Outgrowth and Branching in Adult Motor Neurons
inferredcites →https://doi.org/10.1016/j.isci.2019.08.004openalex-extracted
ALS-Linked SOD1 Mutants Enhance Neurite Outgrowth and Branching in Adult Motor Neurons
inferredcites →https://doi.org/10.1016/j.jsc.2016.03.009openalex-extracted
A persistence landscapes toolbox for topological statistics
inferredcites →https://doi.org/10.1038/nmeth.2083openalex-extracted
Annotated high-throughput microscopy image sets for validation
inferredcites →https://doi.org/10.1038/s41592-019-0403-1openalex-extracted
Deep learning for cellular image analysis
inferredcites →https://doi.org/10.1038/s41598-020-59215-9openalex-extracted
Efficient Classification of White Blood Cell Leukemia with Improved Swarm Optimization of Deep Features
inferredcites →https://doi.org/10.1086/ahr/87.1.248openalex-extracted
Paul F. Dearden. The Rhode Island Campaign of 1778: Inauspicious Dawn of Alliance. Providence: Rhode Island Bicentennial Foundation, for the Rhode Island Publications Society, Providence. 1980. Pp. xv, 169
inferredcites →https://doi.org/10.1090/s0273-0979-09-01249-xopenalex-extracted
Topology and data
inferredcites →https://doi.org/10.1091/mbc.e13-03-0156openalex-extracted
Instantaneous inactivation of cofilin reveals its function of F-actin disassembly in lamellipodia
inferredcites →https://doi.org/10.1093/bioinformatics/btx069openalex-extracted
A multi-scale convolutional neural network for phenotyping high-content cellular images
inferredcites →https://doi.org/10.1109/tc.1984.1676360openalex-extracted
Diagnosis in the Presence of Known Faults
inferredcites →https://doi.org/10.1111/j.1365-2818.2011.03549.xopenalex-extracted
Resolution and optical sectioning in the confocal microscope
inferredcites →https://doi.org/10.1145/2834996.2834999openalex-extracted
Remora
inferredcites →https://doi.org/10.1177/2472555218818756openalex-extracted
Transfer Learning with Deep Convolutional Neural Networks for Classifying Cellular Morphological Changes
inferredcites →https://doi.org/10.1186/s12859-016-0895-yopenalex-extracted
CP-CHARM: segmentation-free image classification made accessible
inferredcites →https://doi.org/10.48550/arxiv.1207.6437openalex-extracted
Statistical topological data analysis using persistence landscapes
inferredcites →https://doi.org/10.5555/2789272.2789275openalex-extracted
Statistical topological data analysis using persistence landscapes
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