Type
Education
Country
United Kingdom
GB
Documents
48
through any edge
Papers
48
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Institute of Cancer Research on the authorship, newest first.
2026-05-21 · 12 authors here
Economic costing of evaluating, deploying and monitoring an artificial intelligence-based reconstruction for acceleration of rectal MRI examinations
2026-05-12 · 16 authors here
Xstainer: A Novel Virtual Staining Tool Powered by Advanced Deep Learning Techniques
2026-04-17 · 3 authors here
Data Matters: The Impact of Data Curation in the Classification of Histopathological Datasets
2026-02-09 · 21 authors here
Normal breast tissue (NBT)-classifiers: advancing compartment classification in normal breast histology
2026-01-26 · 5 authors here
Integrating artificial intelligence ( <scp>AI</scp> ) into colorectal cancer reporting
2025-12-22 · 5 authors here
Classpose drives the discovery of colorectal cancer phenotypes in clinical grade whole slide images
2025-11-01 · 5 authors here
269P Performance of publicly available large language models as decision-aids for lung cancer screening: An evaluation of quality, safety, and readability
2025-11-01 · 10 authors here
382MO Enhancing phase I clinical trial selection using artificial intelligence: Evaluation of a large language model algorithm in a dedicated drug development unit
2025-11-01 · 10 authors here
226P In-house and commercial platforms for integrated discovery and diagnostics in pathology
2025-10-16 · 7 authors here
OsiriXGPT: An Innovative AI Co-pilot Plug-In for Seamless Deployment of Generative AI Models in Scan-to-Scan Reporting Workflows
2025-09-01 · 9 authors here
CLEM-Reg: an automated point cloud-based registration algorithm for volume correlative light and electron microscopy
2025-09-01 · 28 authors here
Supporting cancer research on real-world data: extracting colorectal cancer status and explicitly written TNM stages from free-text imaging and histopathology reports
2025-07-21 · 5 authors here
Interventionally-guided representation learning for robust and interpretable AI models in cancer medicine
2025-05-19 · 6 authors here
MAGELLAN: Automated Generation of Interpretable Computational Models for Biological Reasoning
2025-04-30 · 21 authors here
Normal Breast Tissue (NBT)-Classifiers: Advancing Compartment Classification in Normal Breast Histology
2025-04-10 · 4 authors here
Fibre tracing in biomedical images: An objective comparison between seven algorithms
2025-03-27 · 39 authors here
Interactions between genetic and epidemiological factors influencing mammographic density
2025-02-04 · 13 authors here
Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation
2025-01-28 · 40 authors here
A morphometric signature to identify ductal carcinoma in situ with a low risk of progression
2025-01-23 · 4 authors here
The tumour histopathology “glossary” for AI developers
2025-01-11 · 4 authors here
Not seeing the trees for the forest. The impact of neighbours on graph-based configurations in histopathology
2025-01-01 · 30 authors here
Artificial Intelligence Implementation in Pediatric Radiology for Patient Safety: A Multisociety Statement From the ACR, ESPR, SPR, SLARP, AOSPR, SPIN.
2024-03-15 · 12 authors here
A systematic pan-cancer study on deep learning-based prediction of multi-omic biomarkers from routine pathology images
2024-01-17 · 35 authors here
Digital pathology for reporting histopathology samples, including cancer screening samples – definitive evidence from a multisite study
2023-12-02 · 12 authors here
<i>True-T</i> – Improving T-cell response quantification with holistic artificial intelligence based prediction in immunohistochemistry images
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
Who funds this work
Funders named on the papers above. The record holds no recipient field, so this is reached through the documents themselves — and the two columns are two different claims, kept apart.
Under a named grant
funding_awards — the award carries a grant number
Listed as funder
doc_funder_links — named, with no grant number