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Ocean Data Quality Assessment through Outlier Detection-enhanced Active Learning

Project: CLARIFY

Updated at: 23-07-2024

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Image retrieval tool

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Updated at: 22-07-2024

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Report on network-wide training events_v3

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Updated at: 22-07-2024

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Final conference

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Updated at: 22-07-2024

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Digital pathology training roadmap

Project: CLARIFY

Updated at: 22-07-2024

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Crowdsourcing models for automatic diagnosis

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Updated at: 22-07-2024

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CBIR algorithms

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Updated at: 22-07-2024

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Report on network-wide training events_v4

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Updated at: 22-07-2024

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Significant feature extraction guidelines

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Updated at: 22-07-2024

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WSI preprocessing and standardization protocol

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Updated at: 11-07-2024

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Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation

Project: CLARIFY

Updated at: 11-07-2024

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Project acronym CLARIFY

Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images

Project: CLARIFY

Updated at: 11-07-2024

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Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research a...

Project: CLARIFY

Updated at: 11-07-2024

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Project acronym CLARIFY

Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection

Project: CLARIFY

Updated at: 11-07-2024

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Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images

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Updated at: 11-07-2024

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Report on network-wide training events_v1

Project: CLARIFY

Updated at: 11-07-2024

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CLARIFY repositories for open access

Project: CLARIFY

Updated at: 11-07-2024

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Recruitment completion

Project: CLARIFY

Updated at: 11-07-2024

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An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance le...

Project: CLARIFY

Updated at: 11-07-2024

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Project acronym CLARIFY

Towards General Deep Leakage in Federated Learning

Project: CLARIFY

Updated at: 11-07-2024

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Report on network-wide training events_v2

Project: CLARIFY

Updated at: 11-07-2024

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ESRs definition and advertisement

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Updated at: 11-07-2024

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CLARIFY Website

Project: CLARIFY

Updated at: 11-07-2024

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Metadata standardization strategy and database

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Updated at: 11-07-2024

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Proportion constrained weakly supervised histopathology image classificationAuthor links open overlay panel

Project: CLARIFY

Updated at: 11-07-2024

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Nested Multiple Instance Learning with Attention Mechanisms

Project: CLARIFY

Updated at: 11-07-2024

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Attention-based clinical note summarization

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Updated at: 11-07-2024

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Project acronym CLARIFY

Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathologic...

Project: CLARIFY

Updated at: 11-07-2024

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Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the Intern...

Project: CLARIFY

Updated at: 09-05-2024

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Towards a Knowledge Graph Enhanced Automation and Collaboration Framework for Digital Twins

Project: CLARIFY

Updated at: 09-05-2024

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Project acronym CLARIFY

Resources

Selected filters:

Ocean Data Quality Assessment through Outlier Detection-enhanced Active Learning

Image retrieval tool

Report on network-wide training events_v3

Final conference

Digital pathology training roadmap

Crowdsourcing models for automatic diagnosis

CBIR algorithms

Report on network-wide training events_v4

Significant feature extraction guidelines

WSI preprocessing and standardization protocol

Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation

Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images

Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research a...

Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection

Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images

Report on network-wide training events_v1

CLARIFY repositories for open access

Recruitment completion

An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance le...

Towards General Deep Leakage in Federated Learning

Report on network-wide training events_v2

ESRs definition and advertisement

CLARIFY Website

Metadata standardization strategy and database

Proportion constrained weakly supervised histopathology image classificationAuthor links open overlay panel

Nested Multiple Instance Learning with Attention Mechanisms

Attention-based clinical note summarization

Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathologic...

Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the Intern...

Towards a Knowledge Graph Enhanced Automation and Collaboration Framework for Digital Twins