Research map: A protocol for evaluating robustness to H&E staining variation in computational pathology models
Back to the article
Papers in this map
Comprehensive molecular characterization of human colon and rectal cancer
· The Cancer Genome Atlas Network · 2012 · 8841 citations · Cited by this paper
Lessons learned from three approaches to digital pathology system validation at a large academic medical institution
· 2026 · Related
Data-efficient and weakly supervised computational pathology on whole-slide images
· Ming Y. Lu · 2021 · 2284 citations · Cited by this paper
Fast organ-of-origin classification for digital pathology quality control
· 2026 · Related
Towards a general-purpose foundation model for computational pathology
· Richard J. Chen · 2024 · 1473 citations · Cited by this paper
Digital pathology slide re-scan requests: A viewer-neutral LIS solution
· 2026 · Related
Transformer-based unsupervised contrastive learning for histopathological image classification
· Xiyue Wang · 2022 · 747 citations · Cited by this paper
Bringing the big picture into focus: Transforming gross specimen imaging with digital pathology & AI
· 2026 · Related
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
· David Tellez · 2019 · 633 citations · Cited by this paper
Automated Helicobacter pylori detection on HE slides
· 2026 · Related
Measuring Domain Shift for Deep Learning in Histopathology
· Karin Stacke · 2020 · 319 citations · Cited by this paper
Foundation artificial intelligence models enable high-accuracy diagnostic differentiation of hybrid neurofibroma/schwannoma using whole-slide images
· 2026 · Related
The impact of site-specific digital histology signatures on deep learning model accuracy and bias
· Frederick Matthew Howard · 2021 · 316 citations · Cited by this paper
Expanding diagnostic access in the Amazon through digital pathology: A real-world experience
· 2026 · Related
Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study
· Sophia J. Wagner · 2023 · 275 citations · Cited by this paper
Transition of cytology service from on-site to remote off-site digital evaluation of adequacy
· 2026 · Related
Adversarial Stain Transfer for Histopathology Image Analysis
· Aïcha BenTaieb · 2017 · 236 citations · Cited by this paper
The Dutch Nationwide Pathology Databank and its central role in health research
· 2026 · Related
RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval
· Xiyue Wang · 2022 · 218 citations · Cited by this paper
Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology
· Andrew R. Janowczyk · 2016 · 215 citations · Cited by this paper
Quality control stress test for deep learning-based diagnostic model in digital pathology
· Birgid Schömig‐Markiefka · 2021 · 149 citations · Cited by this paper
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology
· Maximilian Springenberg · 2023 · 88 citations · Cited by this paper
Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks
· Péter Bándi · 2019 · 66 citations · Cited by this paper
Data-driven color augmentation for H&E stained images in computational pathology
· Niccolò Marini · 2023 · 46 citations · Cited by this paper
An international study of stain variability in histopathology using qualitative and quantitative analysis
· Catriona M. Dunn · 2025 · 29 citations · Cited by this paper
Stress Testing Pathology Models with Generated Artifacts
· Nicholas Chandler Wang · 2021 · 22 citations · Cited by this paper
Registered multi-device/staining histology image dataset for domain-agnostic machine learning models
· Mieko Ochi · 2024 · 22 citations · Cited by this paper
SurGen: 1020 H&E-stained whole-slide images with survival and genetic markers
· Craig Myles · 2025 · 13 citations · Cited by this paper
REET: robustness evaluation and enhancement toolbox for computational pathology
· Alex Foote · 2022 · 10 citations · Cited by this paper
Impact of tissue staining and scanner variation on the performance of pathology foundation models: a study of sarcomas and their mimics
· Binghao Chai · 2026 · 5 citations · Cited by this paper
Untitled · Cited by this paper
Untitled · Cited by this paper
Untitled · Cited by this paper
Source: OpenAlex (CC0)