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Exploring how to Combine Query Reformulations for Precision Medicine

Project: EXA MODE

Updated at: 31-07-2023

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Neural Image Compression for Gigapixel Histopathology Image Analysis

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Updated at: 31-07-2023

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Project acronym EXA MODE

Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval

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Updated at: 31-07-2023

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Project acronym EXA MODE

Incentives for Item Duplication under Fair Ranking Policies

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Updated at: 31-07-2023

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Project acronym EXA MODE

SAFIR: a Semantic-Aware Neural Framework for IR

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Updated at: 31-07-2023

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Project acronym EXA MODE

Learning to detect lymphocytes in immunohistochemistry with deep learning

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Updated at: 31-07-2023

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Project acronym EXA MODE

Methodology for the standardization of terminological resources: Design of TriMED database to support multi-register med...

Project: EXA MODE

Updated at: 31-07-2023

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Project acronym EXA MODE

2nd dissemination, communication and exploitation report & outline for the following year

Project: EXA MODE

Updated at: 31-07-2023

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Project acronym EXA MODE

Knowledge Enhanced Representations to Reduce the Semantic Gap in Clinical Decision Support

Project: EXA MODE

Updated at: 31-07-2023

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Project acronym EXA MODE

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computat...

Project: EXA MODE

Updated at: 31-07-2023

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Project acronym EXA MODE

Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification. BMC Med...

Project: EXA MODE

Updated at: 31-07-2023

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Project acronym EXA MODE

Neural Feature Selection for Learning to Rank

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Updated at: 31-07-2023

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Project acronym EXA MODE

Few-shot weakly supervised detection and retrieval in histopathology whole-slide images

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Updated at: 31-07-2023

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Project acronym EXA MODE

What Makes a Query Semantically Hard?

Project: EXA MODE

Updated at: 31-07-2023

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Sharpening Local Interpretable Model-Agnostic Explanations for Histopathology: Improved Understandability and Reliabilit...

Project: EXA MODE

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A Multi-Task Multiple Instance Learning Algorithm to Analyze Large Whole Slide Images from Bright Challenge 2022

Project: EXA MODE

Updated at: 31-07-2023

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Project acronym EXA MODE

Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations

Project: EXA MODE

Updated at: 31-07-2023

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Project acronym EXA MODE

Application of Deep Learning Methods to SNOMED CT Encoding of Clinical Texts: From Data Collection to Extreme Multi-Labe...

Project: EXA MODE

Updated at: 31-07-2023

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Project acronym EXA MODE

Algorithms for whole-slide image compression

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Updated at: 31-07-2023

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Project acronym EXA MODE

Semi-supervised learning with a teacher-student paradigm for histopathology classification: a resource to face data hete...

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A Post-Analysis of Query Reformulation Methods for Clinical Trials Retrieval

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Conceptual descriptive framework for multimodal knowledge

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Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images

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Updated at: 31-07-2023

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Data Credit Distribution through Lineage (Extended Abstract)

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Updated at: 31-07-2023

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Periodic Reporting for period 2 - EXA MODE (EXtreme-scale Analytics via Multimodal Ontology Discovery & Enhancement)

Project: EXA MODE

Updated at: 13-02-2023

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Project acronym EXA MODE

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Exploring how to Combine Query Reformulations for Precision Medicine

Neural Image Compression for Gigapixel Histopathology Image Analysis

Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval

Incentives for Item Duplication under Fair Ranking Policies

SAFIR: a Semantic-Aware Neural Framework for IR

Learning to detect lymphocytes in immunohistochemistry with deep learning

Methodology for the standardization of terminological resources: Design of TriMED database to support multi-register med...

2nd dissemination, communication and exploitation report & outline for the following year

Knowledge Enhanced Representations to Reduce the Semantic Gap in Clinical Decision Support

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computat...

Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification. BMC Med...

Neural Feature Selection for Learning to Rank

Few-shot weakly supervised detection and retrieval in histopathology whole-slide images

What Makes a Query Semantically Hard?

Sharpening Local Interpretable Model-Agnostic Explanations for Histopathology: Improved Understandability and Reliabilit...

A Multi-Task Multiple Instance Learning Algorithm to Analyze Large Whole Slide Images from Bright Challenge 2022

Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations

Application of Deep Learning Methods to SNOMED CT Encoding of Clinical Texts: From Data Collection to Extreme Multi-Labe...

Algorithms for whole-slide image compression

Semi-supervised learning with a teacher-student paradigm for histopathology classification: a resource to face data hete...

A Post-Analysis of Query Reformulation Methods for Clinical Trials Retrieval

Conceptual descriptive framework for multimodal knowledge

Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images

Data Credit Distribution through Lineage (Extended Abstract)

Periodic Reporting for period 2 - EXA MODE (EXtreme-scale Analytics via Multimodal Ontology Discovery & Enhancement)