Research graph
References from Toward comprehensive cellular characterization of H&E slides. Local targets link to admitted publications; unresolved targets remain external evidence.
Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes
10.1038/s41467-021-21896-9 · 2021 · External reference
AI powered quantification of nuclear morphology in cancers enables prediction of genome instability and prognosis
2024 · External reference
Histology image analysis for carcinoma detection and grading
10.1016/j.cmpb.2011.12.007 · 2012 · External reference
Nuclear morphology and the biology of cancer cells
10.1159/000508780 · 2020 · External reference
Nuclear structure in cancer cells
10.1038/nrc1430 · 2004 · External reference
Single-cell spatial architectures associated with clinical outcome in head and neck squamous cell carcinoma
10.1038/s41698-022-00253-z · 2022 · External reference
Spatial transcriptomics reveals distinct and conserved tumor core and edge architectures that predict survival and targeted therapy response
10.1038/s41467-023-40271-4 · 2023 · External reference
Predicting the tumor microenvironment composition and immunotherapy response in non-small cell lung cancer from digital histopathology images
2024 · External reference
The current landscape of spatial biomarkers for prediction of response to immune checkpoint inhibition
2024 · External reference
Tumor associated neutrophils. Their role in tumorigenesis, metastasis, prognosis and therapy
10.3389/fonc.2019.01146 · 2019 · External reference
Cancer-associated fibroblasts and resistance to anticancer therapies: status, mechanisms, and countermeasures
10.1186/s12935-022-02599-7 · 2022 · External reference
Potential mechanisms of cancer-associated fibroblasts in therapeutic resistance
10.1016/j.biopha.2023.115425 · 2023 · External reference
Cancer-associated fibroblasts promote cisplatin resistance in bladder cancer cells by increasing IGF-1/ERβ/Bcl-2 signalling
10.1038/s41419-019-1581-6 · 2019 · External reference
Lymphocyte density determined by computational pathology validated as a predictor of response to neoadjuvant chemotherapy in breast cancer: secondary analysis of the ARTemis trial
10.1093/annonc/mdx266 · 2017 · External reference
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Hematoxylin and eosin staining of tissue and cell sections
2008 · External reference
A multi-organ nucleus segmentation challenge
10.1109/tmi.2019.2947628 · 2020 · External reference
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2023 · External reference
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2018 · External reference
NuCLS: a scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
10.1093/gigascience/giac037 · 2022 · External reference
Unresolved reference
2020 · External reference
Hover-Net: simultaneous segmentation and classification of nuclei in multi-tissue histology images
10.1016/j.media.2019.101563 · 2019 · External reference
Segmentation of nuclei in histopathology images by deep regression of the distance map
2018 · External reference
Unresolved reference
2021 · External reference
Segmentation of nuclei in histopathology images by deep regression of the distance map
10.1109/tmi.2018.2865709 · 2019 · External reference
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2023 · External reference
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Towards a general-purpose foundation model for computational pathology
10.1038/s41591-024-02857-3 · 2024 · External reference
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2024 · External reference
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2023 · External reference
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2024 · External reference
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2024 · External reference
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2025 · External reference
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2025 · External reference
Collaborative analysis of multi-gigapixel imaging data using Cytomine
10.1093/bioinformatics/btw013 · 2016 · External reference
Transcriptome analysis of archived tumors by Visium, GeoMx DSP, and chromium reveals patient heterogeneity
10.1038/s41467-025-59005-9 · 2025 · External reference
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2020 · External reference
Effective active learning in digital pathology: a case study in tumor infiltrating lymphocytes
10.1016/j.cmpb.2022.106828 · 2022 · External reference
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2017 · External reference
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Attention is all you need
2017 · External reference
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2016 · External reference
CellViT: vision transformers for precise cell segmentation and classification
10.1016/j.media.2024.103143 · 2024 · External reference
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2021 · External reference
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2021 · External reference
The Hungarian method for the assignment problem
10.1002/nav.3800020109 · 1955 · External reference
10.1137/0105003
10.1137/0105003 · External reference
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2019 · External reference
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2022 · External reference
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2023 · External reference
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2024 · External reference
Using deep learning to identify bladder cancers with FGFR-activating mutations from histology images
10.1002/cam4.4044 · 2021 · External reference
AI allows pre-screening of FGFR3 mutational status using routine histology slides of muscle-invasive bladder cancer
10.1038/s41467-024-55331-6 · 2024 · External reference
The impact of FGFR3 alterations on the tumor microenvironment and the efficacy of immune checkpoint inhibitors in bladder cancer
10.1186/s12943-023-01897-6 · 2023 · External reference
Erdafitinib in locally advanced or metastatic urothelial carcinoma
10.1056/nejmoa1817323 · 2019 · External reference
