Citation Impact
Citing Papers
Image analysis and machine learning in digital pathology: Challenges and opportunities
2016 Standout
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases
2016 Standout
Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology
2016
A survey on deep learning in medical image analysis
2017 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
Digital pathology and artificial intelligence
2019 Standout
Removing Batch Effects From Histopathological Images for Enhanced Cancer Diagnosis
2013
Loss Functions for Image Restoration With Neural Networks
2016 Standout
Adversarial Stain Transfer for Histopathology Image Analysis
2017
Perceptually based downscaling of images
2015
Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potential
2014
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
2015 Standout
Stain Standardization Capsule for Application-Driven Histopathological Image Normalization
2020
Stain Specific Standardization of Whole-Slide Histopathological Images
2015
Works of Kaleigh Smith being referenced
3D unsharp masking for scene coherent enhancement
2008
Apparent Greyscale: A Simple and Fast Conversion to Perceptually Accurate Images and Video
2008
Colour Normalisation in Digital Histopathology Images
2009