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- 2024
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Mark
The analytical and clinical validity of AI algorithms to score TILs in TNBC : can we use different machine learning models interchangeably?
(
- Contribution to journal › Article
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Mark
Reproducible Reporting of the Collection and Evaluation of Annotations for Artificial Intelligence Models
2024) In Modern Pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 37(4).(
- Contribution to journal › Article
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Mark
Training pathologists to assess stromal tumour-infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific research
(
- Contribution to journal › Scientific review
- 2022
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Mark
Development of Training Materials for Pathologists to Provide Machine Learning Validation Data of Tumor-Infiltrating Lymphocytes in Breast Cancer
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- Contribution to journal › Article
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Mark
Pilot study to evaluate tools to collect pathologist annotations for validating machine learning algorithms
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- Contribution to journal › Article
- 2020
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Mark
Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer
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- Contribution to journal › Article
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Mark
Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials
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- Contribution to journal › Scientific review
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Mark
Abstract P5-02-01: Analytical validation and prognostic potential of an automated digital scoring protocol for Ki67: An International Ki67 Working Group study
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- Contribution to journal › Published meeting abstract
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Mark
The path to a better biomarker: application of a risk management framework for the implementation of PD‐L1 and TILs as immuno‐oncology biomarkers into breast cancer clinical trials and daily practice
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- Contribution to journal › Scientific review
- 2019
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Mark
Analytical validation of a standardized scoring protocol for Ki67 immunohistochemistry on breast cancer excision whole sections: an international multicenter collaboration
(
- Contribution to journal › Article