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Geert Litjens
Observed name:
Litjens, Geert
Institutions:
Radboud University Nijmegen,
Radboud University Medical Center,
Radboud Institute for Molecular Life Sciences,
Oncode Institute
Observed institutions:
Radboud University Nijmegen,
Radboud University Medical Center,
Radboud Institute for Molecular Life Sciences,
Oncode Institute
ORCID:
0000-0003-1554-1291
Observed ORCID:
0000-0003-1554-1291
OpenAlex ID:
A5134702395
Benchmarking of AI and Radiologists for Indeterminate Lung Nodule Malignancy Risk Estimation at Screening CT: The LUNA25 Challenge
2026
·
Dré Peeters
, Bogdan Obreja
, et al.
·
Radiology Artificial Intelligence
·
2
Detection of basal cell carcinoma on whole-slide images from Mohs micrographic surgery using weakly supervised learning
2026
·
Kajsa Villiamsson
, Ludvig Fornstedt
, et al.
·
JAAD International
·
1
Deep Learning From Routine Histology Improves Risk Stratification for Biochemical Recurrence in Prostate Cancer
2026
·
Grisi, Clément
, Faryna, Khrystyna
, et al.
·
arXiv (Cornell University)
·
1
PDF
Explainable Artificial Intelligence (XAI) in Computational Pathology: Definitions, Taxonomy, and Recommendations
2026
·
Innani, Shubham
, You, Suhang
, et al.
·
arXiv (Cornell University)
PDF
A practical roadmap to implementation of in-house developed computational pathology algorithms
2026
·
Frédérique Meeuwsen
, Maschenka Balkenhol
, et al.
·
Research Square
PDF
A Distributional Robustness Margin For Pathology Foundation Models
2026
·
Grisi, Clément
, van der Laak, Jeroen
, et al.
·
arXiv (Cornell University)
PDF
Tissues with Issues Benchmark Dataset (Part 5 of 8)
2026
·
Polejowska, Agata
, Uysal, Nefise
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Tissues with Issues Benchmark Dataset (Part 3 of 8)
2026
·
Polejowska, Agata
, Uysal, Nefise
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Tissues with Issues Benchmark Dataset (Part 7 of 8)
2026
·
Polejowska, Agata
, Uysal, Nefise
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Tissues with Issues Benchmark Dataset
2026
·
Polejowska, Agata
, Uysal, Nefise
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Tissues with Issues Benchmark Dataset (Part 8 of 8)
2026
·
Polejowska, Agata
, Uysal, Nefise
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Tissues with Issues Benchmark Dataset (Part 6 of 8)
2026
·
Polejowska, Agata
, Uysal, Nefise
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Tissues with Issues Benchmark Dataset (Part 1 of 8)
2026
·
Polejowska, Agata
, Uysal, Nefise
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Tissues with Issues Benchmark Dataset (Part 2 of 8)
2026
·
Polejowska, Agata
, Uysal, Nefise
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Predicting bladder cancer molecular subtypes linked to bacillus Calmette-Guerin response from histology images using deep learning
2026
·
Farbod Khoraminia
, Mitchell Olislagers
, et al.
·
medRxiv
PDF
Combining HIstology, Medical imaging and molEcular data for medical pRognosis and diAgnosis Agent (CHIMERA-agent)
2026
·
Khalili, Nadieh
, Litjens, Geert
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Computational Pathology in the Era of Emerging Foundation and Agentic AI -- International Expert Perspectives on Clinical Integration and Translational Readiness
2026
·
Da, Qian
, Chen, Yijiang
, et al.
·
arXiv (Cornell University)
PDF
Designing UNICORN: a Unified Benchmark for Imaging in Computational Pathology, Radiology, and Natural Language
2026
·
Stegeman, Michelle
, Philipp, Lena
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
18
Citation count:
4
H-index:
1
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